ROBERT BUCK is Assistant Professor of Statistics, Department of Mathematics and Statistics, Western Michigan University. My first field of study was biology, in particular population biology and ecology. I went to graduate school in statistics and worked on problems in design and analysis of computer experiments. Techniques used included spatial statistics, optimization and Latin hypercube sampling.
    After my PhD I received a summer AAAS/EPA fellowship and then a post-doctoral position at the Department of Environmental Health, Harvard Schoool of Public Health. This work was in conjunction with the now completed NHEXAS-Baltimore, a pilot study to generate a population based sample of multi-contaminant, multi-media, multi-pathway exposures carried out in the Baltimore area. Main work was on two basic goals in exposure assessment, to estimate long-term exposure distributions from short-term exposure studies and to construct exposure distribution simulation models that account for uncertainty in parameters of the model. I also became interested in general problems of risk assessment in relation to environmental hazards. During my stay at Harvard School of Public Health I also worked on a variety of exposure assessment problems.
 

HAROLD E. BURKHART holds a B.S. degree in forestry from Oklahoma State University and M.S. and Ph.D. degrees in forest biometrics from the University of Georgia. He has been a faculty member in the Department of Forestry, Virginia Polytechnic Institute and State University, since 1969. From 1976-1977, Dr. Burkhart was Senior Research Fellow at the Forest Research Institute in Rotorua, New Zealand. He has published extensively in professional journals on the subjects of forest growth and yield prediction and on forest inventory and sampling. His contributions to forestry education have been recognized through awards from several organizations, including the International Union of Forestry Research Organizations Scientific Achievement Award, the Virginia Academy of Science J. Shelton Horsley Research Award, the Virginia Tech Alumni Award for Research Excellence, the State Council of Higher Education for Virginia Outstanding Faculty Award, the Society of American Foresters Barrington Moore Memorial Award, and the International Association for Ecology Distinguished Statistical Ecologist Award. A former editor of the journal Forest Science, he is a Fellow in the American Association for the Advancement of Science and the Society of American Foresters.
 

JOHN CAIRNS, JR. , University Distinguished Professor of Environmental Biology Emeritus, Department of Biology, and Director Emeritus, University Center for Environmental and Hazardous Materials Studies, Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia.
    Cairns received the PhD and MS from the University of Pennsylvania, an AB from Swarthmore College, and completed a postdoctoral course in isotope methodology at Hahnemann Medical College, Philadelphia. He was Curator of Limnology at the Academy of Natural Sciences of Philadelphia for 18 years, and has taught at various universities and field stations. Professional certifications include Qualified Fishery Administrator by the American Fisheries Society and Senior Ecologist by the Ecological Society of America.
    Among his honors are Member, National Academy of Sciences; Fellow, American Academy of Arts and Sciences; Fellow, American Association for the Advancement of Science; Foreign Member, Linnean Society of London; the Founder's Award of the Society for Environmental Toxicology and Chemistry; the United Nations Environmental Programme Medal; Fellow, Association for Women in Science; U.S. Presidential Commendation for Environmental Activities; the Icko Iben Award for Interdisciplinary Activities from the American Water Resources Association; Phi Beta Kappa; the B. Y. Morrison Medal (awarded at the Pacific Rim Conference of the American Chemical Society); Distinguished Service Award, American Institute of Biological Sciences; Superior Achievement Award, U. S. Environmental Protection Agency; the Charles B. Dudley Award for excellence in publications from the American Society for Testing and Materials; the Life Achievement Award in Science from the Commonwealth of Virginia and the Science Museum of Virginia; the American Fisheries Society Award of Excellence; Doctor of Science, State University of New York at Binghamton; Fellow, Virginia Academy of Sciences; and Fellow, Eco-Ethics International Union. Cairns has served as both vice president and president of the American Microscopical Society, has served on 18 National Research Council committees, two as chair, is presently serving on 14 editorial boards, and has served on the Science Advisory Board of the International Joint Commission (U.S. and Canada) and on the USEPA Science Advisory Board. The most recent of his 54 books are Restoration of Aquatic Ecosystems (Committee Chair), National Academy Press, 1992; Environmental Literacy and Beyond, 1993; Implementing Integrated Environmental Management, 1994; Ecological Toxicity Testing: Scale Complexity and Relevance, 1995; Rehabilitating Damaged Ecosystems, Second Edition, 1995; and Handbook of Ecotoxicology, 1995.
 

KATHERINE CAMPBELL is a technical staff member with the Geoanalysis group at Los Alamos National Laboratory. She received her Ph.D. in mathematics from the University of New Mexico, M.A. in mathematics from the University of Maryland, and B. A. in physics from Radcliffe College. She is active in the Section for Statistics and the Environment of the American Statistical Association.
    Current research interests include design of statistical interfaces between coupled models and statistical validation methods for numerical models of earth and atmospheric processes. She is also involved in many aspects of the environmental restoration project at LANL, including data collection, analysis and management. Her publications are in the areas of spatial data modeling and analysis and time series.

JOHN CARSON is a Senior Statistician with IT Corporation (a subsidiary of The IT Group) in its Findlay, OH office. He is writing his dissertation in the department of Mathematics and Statistics at BGSU. He has worked in the field of environmental remediation since 1980 and has worked with his advisor, Prof. Arjun Gupta, on environmental statistics since 1989. This work has focused exclusively on problems related to remediation of contaminated sites, including application of multivariate statistics and composite sampling to site assessment, innovative uses of screening methodologies, treatment process control and verification of cleanup.
    Mr. Carson has spent several years working on location at environmental remediation sites and is experienced in many of the business, operational, regulatory, scientific/technical and statistical issues involved with site remediation. He has been actively involved with several remediation technologies. He has been the Quality Assurance Officer for several Trial Burns and Demonstration Tests required for Thermal Treatment projects. He performed most of the pipe sizing calculations for the largest soil vapor extraction system in the world, which successfully cleaned up soil and groundwater on Midway Island. He has co-authored about a dozen papers on bioremediation and is on the editorial board of the International Journal of Phytoremediation.

HAL CASWELL is a Senior Scientist in the Biology Department of the Woods Hole Oceanographic Institution. He received his B.S. (1971) and Ph.D. (1974) degrees in Zoology from Michigan State University. He is a Fellow of the AAAS, a former Chairman of the Theoretical Ecology Section of the Ecological Society of America, and a former Guggenheim Fellow.
    He is a mathematical ecologist, specializing in population and community dynamics and working on a mixture of theoretical and applied problems. Current research interests include: (1) development and applications of matrix population models, (2) use of demographic models in toxicology and in conservation, especially of marine mammals, (3) incorporating dispersal into matrix population models, (4) stochastic models for community succession, and (5) nonlinear dynamics of food web models.

PHILIP CHATWIN has been Professor of Applied Mathematics at the University of Sheffield since 1991. Immediately prior to that he was Professor of Mathematics at Brunel University, and from 1968 until moving to Brunel in 1985 he was in the Department of Applied Mathematics and Theoretical Physics at the University of Liverpool. He graduated in Mathematics at the University of Cambridge, where he also obtained his PhD in Applied Mathematics in 1967. He spent the Academic Year 1967-68 in the University of Grenoble.
    His research has all dealt with the way fluid flow disperses pollutants. For the last 20 years or so, emphasis has been on the case when the fluid flow is turbulent, by far the most important from a practical point of view. He is particularly interested in the way the statistical properties of the dispersing pollutant, such as the PDF of its concentration, are determined by physics. Among his long-term collaborators are Paul Sullivan (Western Ontario) and Nils Mole (Sheffield). His work has been supported by many organisations including, currently the EEC in a project with Risoe National Laboratory, Denmark.
    He is on the Editorial Board of the Kluwer Series on Environmental Fluid Mechanics, and is a Deputy Editor of the journal Environmetrics. He is one of two co-Chairs of the TIES/SPRUCE meeting in Sheffield from 4-8 September 2000. Further details on: http://www.shef.ac.uk/ties-spruce2000/
 

GEORGE CHRISTAKOS is a Professor of Environmental Health Modelling at the School of Public Health, Univ. of North Carolina at Chapel Hill. He has received a Ph.D. in Applied Sciences, Harvard Univ.; PhD in Mining & Metallurgical Engin., Athens Univ., Greece; and M.S. in Civil & Environmental Engin., M.I.T., and an MSc in Soil Mechaniscs, Birmingham Univ., U.K. He is Editor-in-Chief of "Stochastic Environmental Research & Risk Assessment" published by Springer-Verlag, and serves on the Editorial Advisory Boards of "Environmental & Ecological Statistics", and "Advances in Water Resources".
    Dr. Christakos has been a visiting Professor at Stanford University, and a Visiting Research Fellow at Cambridge University. He is author and co-author of four books (published by Acad. Press, Oxford Univ. Press and Kluwer Publ.) and over 70 research papers in scientific journals & refereed volumes. He has served on review panels and advisory committees of federal/state government agencies and national/international research institutes. He has taught short courses in USA and overseas including Spain, Italy and Greece.
    Current research projects and activities include statistical exposure analysis and health risk assessment, environmental fate and human exposure to carcinogens, spatiotemporal information systems, theoretical and computational modelling of biological systems, stochastic toxicokinetics, air pollution monitoring and control, and environmental epidemiology.
    Research support currently provided by NIEHS, ARO, DOE and DOD.
 

LAWRENCE H. COX is Senior Mathematical Statistician, Office of Research and Development, U.S. Environmental Protection Agency. He holds a Ph.D. in Mathematics from Brown University and a B.Sc. from Manhattan College. Larry is an active member of the American Statistical Association, having chaired two sections and two committees, served on the Board of Directors, and been elected an ASA Fellow. He is an elected member of the International Statistical Institute and has served on the Board of Directors of the National Computer Graphics Association. Cox has published almost 100 articles in professional journals, books and conference proceedings. He is co-editor of the recent book, Case Studies in Environmental Statistics. His previous positions include Director, Board on Mathematical Sciences, National Academy of Sciences, and Senior Mathematical Statistician, U.S. Bureau of the Census.
 

THOMAS C. CURRAN is the Deputy Director of the U.S. Environmental Protection Agency's (EPA) Office of Air Quality Planning and Standards (OAQPS). The primary mission of this Office is to preserve and improve air quality in the United States. OAQPS compiles and reviews air pollution data, develops regulations to limit and reduce air pollution, assists states and local agencies with monitoring and controlling air pollution, makes information about air pollution available to the public, and reports to Congress on the status of air pollution and the progress made in reducing it. Previously, he had been the Director of OAQPS's Information Transfer and Program Integration Division which manages the design, development, maintenance, and evaluation of information systems, hardware, software, and other means of distributing key air pollution control information to government and non-government clients and the public at large. In this capacity, he was responsible for the development of EPA's air program's use of the Internet to disseminate data and information. These efforts recently received the Government Executive's Technology Leadership Award for 1998.
    Dr. Curran received his Ph.D. in Biomathematics from North Carolina State University. He was a charter member of EPA and has worked in the environmental field since 1970. His primary areas of interest have been in the statistical analysis and graphical presentation of air pollution data particularly with respect to determining trends and status with respect to air quality standards. He developed and wrote guidelines for the interpretation of air quality data that have been used for over a quarter of a century. He has served as editor and co-author of US EPA's annual National Air Quality and Emissions Trends Report from 1987 to 1994. He has received numerous medals and awards from both the US Public Health Service and the US Environmental Protection Agency for his data analysis work. He is a recipient of the Distinguished Achievement Medal from the American Statistical Association's Section on Statistics and the Environment.
 

BRIAN DENNIS. EDUCATION BEYOND HIGH SCHOOL: B.A., Fine Arts, 1973, Roger Williams College, Rhode Island; M.A., Statistics, 1980, Pennsylvania State University (advisor: G. P. Patil); Ph.D., Ecology, 1982, Pennsylvania State University. Dissertation: The Dynamics of Low Density Populations (advisor: F. M. Williams).
    EXPERIENCE: 1975-76, Graduate Teaching Assistant, Department of Biology, Pennsylvania State University; 1976-77, Graduate Research Assistant, Department of Statistics, Pennsylvania State University; 1977-78, Graduate Fellow, Pennsylvania State University; 1978-79, Graduate Teaching Assistant, Department of Biology, Pennsylvania State University; 1979-80, Graduate Research Assistant, Department of Biology, Pennsylvania State University;
1981-82, Assistant Professor, Department of Forest Resources, University of Idaho; 1982-87, Assistant Professor, Department of Forest Resources and Department of Mathematics and Statistics, University of Idaho; 1984 (fall), Visiting Assistant Professor, Department of Statistics, Pennsylvania State University; 1987-92, Associate Professor, Department of Forest Resources and Department of Mathematics and Statistics, University of Idaho; 1989-90 (fall, spring), Visiting Associate Professor (sabbatical), Department of Mathematical Sciences, Montana State University; 1992-94, Associate Professor, Department of Fish and Wildlife Resources and Department of Mathematics and Statistics, University of Idaho; 1997 (fall), Distinguished Research Fellow, Bodega Marine Laboratory, University of California/Davis; 1994-present, Professor, Department of Fish and Wildlife Resources and Division of Statistics, University of Idaho.
 

ROBERT GIBBONS received his Ph.D. from the University of Chicago in 1981. He is currently a Professor of Biostatistics at the University of Illinois at Chicago. In 1985, he received a Young Scientist Award from the Office of Naval Research, which funded his statistical research in the areas of the analysis of multivariate binary data and the analysis of longitudinal data. Dr. Gibbons also has additional grant support from the National Institute of Health and the John D. and Catherine T. MacArthur Foundation. He currently has a Research Scientist Award from the National Institute of Health which provides full time support for statistical research. Applications of Dr. Gibbons work are widespread in the general areas of mental health and environmental sciences. Dr. Gibbons has authored over 100 peer reviewed scientific papers and two books. He is currently working on a new book entitled "Statistical Methods for Detection and Quantification of Environmental Contamination," which will be published by John Wiley and Sons.
 

JEFFREY H. GOVE serves as Research Forester with the Methods for Measurement, Analysis and Modeling of Forest Growth and Structure research work unit at the USDA Forest Service, Northeastern Research Station, Durham, New Hampshire. He joined the Northeastern Station in 1989 after receiving a Ph.D in Forest Biometrics from The Pennsylvania State University. His research interests include optimal natural resource management models, forestry and wildlife sampling, and spatial-temporal models.
 

TIMOTHY G. GREGOIRE is the J. P. Weyerhaeuser, Jr. Professor of Forest Management at the School of Forestry and Environmental Studies, Yale University. He received his Ph.D. from Yale in 1985, concentrating on forest biometrics, and from 1985-1998 he was on the faculty of Virginia Tech.
From 1995-98 he chaired the ENAR Regional Advisory Board of the International Biometric Society. From 1997-98 he was Publications chair of the ENVR section of ASA. In 1997 he was awarded a Distinguished Achievement Medal by the ENVR section in 1997. Currently he serves on the editorial advisory board of Biometrics, Environmetrics, and Silva Fenica. He is a section editor of the forthcoming Encyclopedia of Environmetrics to be published by Wiley.
One area of his scientific and statistical research is the development and application of sampling methods to forests and other natural resources. With Schreuder and Wood, he published Sampling Methods for Multiresource Forest Inventories (Wiley 1993). Another area of reserach is the statistical modeling of correlated data. He was the chief organizer of the 1996 Nantucket symposium on Modeling Longitudinal and Spatially Correlated Data, which led to the Springer-Verlag monograph of the same name published in 1997. He has authored more than 100 journal articles and other published papers in ecological and statistical outlets.
 

KEVIN GROSS is a Ph.D. student in Zoology and Statistics at the University of Wisconsin, Madison. He is interested in asking how ecologists can optimize the statistical performance of estimators of population growth derived from demographic matrix models. Additionally, in collaboration with Prof. Tony Ives, he examines the ability of predator-prey models to shed light on the success or failure of biological control programs. Towards this end, he participates in the study of the successful control of pea aphid by a parasitic wasp on alfalfa in south central Wisconsin.
    As an undergraduate in Biology at Duke University, he worked with Prof. Bill Morris, investigating the effects of inducible defense in soybeans on the spatial spread of a herbivorous insect pest. A separate project, conducted in collaboration with J.R. Lockwood, used censuses of an endangered shrub (Hudsonia montana) in western North Carolina to evaluate and compare potential strategies for managing the recovery of the shrub population.

 
JESSICA GUREVITCH Education: B.S. 1973 Bio. Sci./Ecology, Evolution & Systematics, Cornell University; Ph.D. 1982 Ecology and Evolutionary Biology, University of Arizona.
    Professional Experience: 1992 - present Associate Professor, State University of New York at Stony Brook; 1992 - 1993 Program Director, Population Biology, National Science Foundation;  l985 - 1992 Assistant Professor, State University of New York at Stony Brook; 1983 - 1985 Postdoctoral Fellow at The University of Chicago.
    My research spans several traditional categories within the field of ecology.  The work I have done falls into three major areas: the experimental investigation of problems at the level of plant populations and communities, evolutionary and genetic aspects of plant physiological ecology and leaf morphology, and statistical applications in ecology with a particular focus on experimental data.  A major research project currently underway concerns the recovery of Long Island pine barrens communities, including the globally rare dwarf pine plains, after severe fires in August 1995 (the trees are pitch pines, Pinus rigida).  Although this is clearly a fire-adapted ecosystem, long term fire suppression contributed to fires of such intensity that the communit= y may =93flip=94 to an alternative state due to an altered balance of species interactions after the fire. Working with Dr. Gordon Fox, I am developing an approach to modeling the demography of pitch pines, which depend upon disturbance (primarily fire) to regenerate.  The approach focuses on transient dynamics rather than the more conventional matrix demographic focus on what happens in the long run clearly inappropriate for this and many other disturbance-adapted populations. Models will be tested against a large field data set that I have been accumulating on these pines and the community in which they live.
    A second study will rely upon field experiments to test which factors are most responsible for determining community susceptibility or resistance to colonization by invasive plant species in Long Island forests.  We will conduct a series of experiments in which species introductions and manipulation of the environment will test which factors are most important in facilitating or hindering invasion. Another general research interest is experimental design and analysis in ecology. In response to the need for making more appropriate and sophisticated statistical techniques available to the average working experimental ecologist, I initiated and published an edited text (with Sam Scheiner), Design and Analysis of Ecological Experiments (1993, Chapman and Hall).  We are currently working on a second edition. Another major aspect of my statistical efforts has been the development and application of meta-analysis in ecology. Meta-analysis is the quantitative synthesis of the results of independent experiments. Borrowing from meta-analytic techniques in the social science and medicine, I have worked to introduce this approach to the fields of ecology and evolution since the early 1990's.  I have both carried out meta-analytic syntheses of ecological research, and been involved in the development of the statistics of meta-analysis to make these methods more applicable to ecological data and ecological questions.  In addition, I have co-authored a software package for meta-analysis with the goal of making these techniques more accessible to ecologists.
 

PETER GUTTORP is Professor of Statistics and Director of the National Research Center for Statistics and the Environment at the University of Washington. He obtained his PhD in Statistics from the University of California at Berkeley. His research focuses on spatial and space-time modeling of environmental and meteorological processes. He is a vice-chair of the International Statistical Institute Standing Committee on Environmental Statistics, an associate editor of Bernoulli, and a member of the Editorial Board of Environmental and Ecological Statistics.
 

RICHARD HERTZBERG received his Ph.D. in Biomathematics (applied math, physiology and biophysics) from the University of Washington, Seattle, after a B.S. in Mathematics from Harvey Mudd College, Claremont, CA. Since 1980, Dr. Hertzberg has been a mathematical statistician with the National Center for Environmental Assessment, Office of Research and Development, U.S. EPA, where he now serves as the Mixtures Risk team leader. He helped initiate the EPA mixtures risk assessment research program in 1985 by chairing the initial mixtures risk guidelines development (final in 1986), and by developing the first version of Mixtox, EPAUs data base on noncancer toxicologic interactions. He is currently the chair of the EPA work group revising the 1986 guidelines and is the project coordinator of the expansion of Mixtox to include calculation of an interaction-based Hazard Index. He is the senior scientist in EPA on mixtures risk assessment issues and is a frequent invited speaker on mixtures risk issues at scientific meetings. Dr. Hertzberg is also a principal investigator of statistical methods and mathematical models for risk assessment of mixtures and noncancer toxicity. He is an innovator in the evaluation of uncertain and qualitative toxicity data, pioneering the EPA use of ordinal regression with judgments of toxic severity, geographic information systems software for displaying 6-dimensional toxicity data, and computer animation for interactive parameter estimation. In 1998, Dr. Hertzberg led the formation of the Mixed Exposures Research Group (internet site: www.cdc.gov/niosh/mixed.html), an interagency effort involving (at present) seven federal and two state agencies whose goal is to foster collaborative research on exposure, toxicology and risk assessment of multiple stressors. He is also a member of the NIOSH mixtures research team, which was formed under their National Occupational Research Agenda. He has collaborated with NCTR statisticians on mixtures risk statistical models and has just initiated collaborative research with the U.S. Forest Service on mathematical models of human body burden following intermittent exposure to multiple herbicides. Dr. Hertzberg is among the first recipients of the Distinguished Achievement Medal for Environmental Statistics from the American Statistical Association, and has served as Treasurer and Secretary of the ASA section on environmental statistics. He is a member of ASA, the Society for Risk Analysis and its Dose Response Specialty Group, and the Sierra Club. His publications focus on quantitative methodology for health risk, and include book chapters, research articles and sections of EPA risk assessment guidelines.
 

WILLIAM F. HUNT, Jr. is the former Director of the U. S. Environmental Protection Agency's Emissions, Monitoring and Analysis Division in the Office of Air and Radiation. The division is responsible for the National: air monitoring program, the emission inventory and factor program, the air modeling program, the emissions testing program and the statistics program, which tied all the data collection efforts together. The division consisted of 110 people mostly scientists, engineers, meteorologists, statisticians, etc. The division is responsible for conducting sound science to support the National air policy decisions that are made.
    Mr. Hunt has started a new assignment as a Visiting Senior Scientist in the Department of Statistics at North Carolina State University. He has been asked by the university to strengthen the environmental programs and services offered by North Carolina State University and foster a broadening of the expertise of the university on both technical and policy issues related to air pollution.
    Mr. Hunt received his M. S. in applied and mathematical statistics from Rutgers University in 1968. He received his B. A. in mathematics with minors in economics and natural science from Rutgers in 1966. He participated in the Advanced Institute on Statistical Ecology in the United States at Pennsylvania State University during the summer of 1972. He took additional courses on air pollution control engineering at California Institute of Technology, while serving as a Visiting Research Associate. He is a member of the International Statistical Institute; a fellow of the Air and Waste Management Association (AWMA); and a former chair of the Section on Statistics and the Environment of the American Statistical Association and a recipient of the Section's Distinguished Achievement Award (1993). He is the former chair of the Environmental Technical Committee of the American Society for Quality Control and served on the Standing Review Board of the Quality Press. He is an Editorial Group Member of the Journal of Environmental Statistics. He is the former chair of the Environmental Measurements Division of the AWMA.
    Over the past 31 years, Mr. Hunt has been in the forefront of advancing good statistical practice in the analysis of environmental data. He has authored and co-authored over 75 publications. He created the statistical group within the EPA's Office of Air Quality Planning and Standards which has prospered for over 27 years. He served as the Deputy Team Leader for the Persian Gulf Risk Evaluation Team, which dealt with the air pollution problem resulting from the Kuwait oil fires. He directed an interagency team of scientists from the military, the Environmental Protection Agency, the National Oceanic and Atmospheric Administration, the Department of Energy and the State Department in dealing with the fires. He has received numerous awards for his work including an EPA Gold Medal for Exceptional Service for his work on the Kuwait oil fires in the Persian Gulf and 5 EPA Bronze Medals. He is an Honorary Citizen of New Orleans, and an Honorary Louisiana Colonel. He is a Full Member of Sigma XI and a member of Phi Beta Kappa. He has numerous Special Achievement Awards from the USEPA.
    In addition to his international work in Kuwait, Mr. Hunt has served as the co-project leader of the US/Russia Working Group 02.01-14, Statistical Analysis Methodology and Air Quality Trend Assessment. He accompanied the Administrator of the U. S. Environmental Protection Agency on a Presidential Fact Finding Mission to Kuwait and Saudi Arabia to assess the impact of the Kuwait oil fires. He served as a consultant to the World Health Organization in Kuala Lumpur, Malaysia and provided technical assistance to the Chinese Institute of Environmental Health Monitoring, Beijing, China. He served as a Consultant III to the Environment Directorate, Organization for Economic Cooperation and Development, Paris, France.
 

POLONA KALAN is Research Assistant at Slovenian Forestry Institute in Ljubljana, Slovenia. She has received her B.Sc. in Analytical Chemistry, University of Ljubljana and M.Sc. in Ecology and Soil Sciences, University of Ljubljana. Currently she is working on her Ph.D. on composite soil samples in soil survey. In year 1992 she won the Krka student research award.
    Currently she is working at the Department for Forest Ecology of the Slovenian Forestry Institute in Ljubljana where she is taking part in several projects concerned with complex studies of processes in forest ecosystems. She also took part in preparing the Vulnerability Study for the Physical Plan of Slovenia. Since 1992 she has been taking part in the International Co-operative
    Programme on Assessment and Monitoring of Air Pollution Effects on Forests that is coordinated by the United Nations Economic Commission for Europe, Convention on Long-Range Transboundary Air Pollution. She is the representative of Slovenia on the Soil Expert Panel and Foliar Expert Panel and member of the Discussion group on soil sampling and analysis that are part of the above mentioned project. In 1996 she got licence of Slovenian Ministry of Environment and Physical Planning for environmental impact assessment on plants and soil. She had several presentations on international conferences, as well as she published several articles in international and Slovene scientific publications.
 

MOHAMMAD KAZIM KHAN joined KSU in 1981. Currently, I am a professor of statistics.  My primary research interests include (i) optimal designs of experiments; (ii) biostatistics; (iii) Probabilistic approximation theory; (iv) Probabilistic summability theory; and (v) EM Algorithm & Computational Aspects
For a complete resume you may view my web page http://www.mcs.kent.edu/~kazim
 

JOHN KERN, Ph.D. student at Duke University researching Bayesian spatial covariance estimation (both parametric and non-parametric), under the supervision of David Higdon.
 

RALPH L. KODELL received his Ph.D. in Statistics from Texas A&M University in 1974. After one year as Assistant Professor in the Department of Mathematics and Statistics at the University of Nebraska-Lincoln, he joined the Biometry Staff at the National Center for Toxicological Research (NCTR) as a Mathematical Statistician. In the Fall of 1982, he was Visiting Research Associate in the Department of Biostatistics, Harvard School of Public Health, and in the Spring and Summer of 1985, he was Visiting Statistical Consultant, K.S. Crump and Company. From 1993 to 1996, Dr. Kodell served as Chief of the Biometry Branch at NCTR. Since 1996, he has served as Director of NCTR's Division of Biometry and Risk Assessment, under an appointment in the Senior Biomedical Research Service. His research interests include the development of statistical methods for carcinogenesis and developmental toxicology, and the development of statistical models and techniques for quantitative risk assessment.
    Dr. Kodell is a member of the American Statistical Association, the International Biometric Society and the Society for Risk Analysis. He serves as associate editor of Communications in Statistics - Theory and Methods and of the Journal of Agricultural, Biological and Environmental Statistics. He was a member of the Committee on Toxicology, National Academy of Sciences, from 1987 to 1993, and he chaired the Section on Statistics and the Environment, American Statistical Association, in 1993. He is recipient of the H.O. Hartley Award from Texas A&M University (1983), the Award of Merit from the Food and Drug Administration (1988), and the Distinguished Achievement Medal, Section on Statistics and the Environment, American Statistical Association (1994). In 1992, Dr. Kodell was made a Fellow of the American Statistical Association and in 1994 he was elected to the International Statistical Institute. In 1996, he received the Don Owen Award for statistical research, editorial activities, and service
 

MICHAEL KÖHL is professor of forest biometrics and computer sciences at Dresden University of Technology, Germany. He received a PhD in forest biometrics in Freiburg, Germany, 1986 and venia legendi from the Swiss Federal Institute of Technology (ETHZ), Zurich, in 1993. Prior to his current position he was research scientist, University of Freiburg, biometrician with Pfizer Inc., and project leader with the Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland.
    Dr. Köhl is leader of section 4.11 "Mathematics, Statistics and Computers" of the International Union of Forest Research Organizations (IUFRO), he is leader of the Team of Specialists for the UN-ECE Temperate and Boreal Forest Resources Assessment (TBFRA 2000), associate researcher at the European Forest Institute (EFI), and member of the editorial boards of "Silva Fennica/ Acta Forestalia Fennicae" and "Schweizerische Zeitschrift für Forstwesen".
    Current research projects and activities include experimental design on long-term experiments, forest inventory, geographic information systems, environmental monitoring and assessment, assessment of forest biodiversity and genetic diversity of forest ecosystems and environmental information systems. He collaborates among others with the European Union, DG VI (Agriculture, Forestry and Fisheries), EU-Joint Research Center, German Ministry of Agriculture and Forestry, German Aerospace Center (DLR), and Dornier Satellite Systems Ltd.

 
KATARINA KOSMELJ has a M.Sc. in applied mathematics and Ph.D. in statistics. She lectures on undergraduate and postgraduate level at Biotechnical Faculty, University of Ljubljana, Slovenia.She was working on clustering of time series, a paper was published in Journal of Classification. Currently, she is envolved in several cross-disciplinary studies in environmental studies. Her current research is carried out on composite samples. Since 1997, she is the President of Slovenian Statistical Society.
 

PIERRE LEGENDRE is professor of quantitative biology at Université de Montréal. Fellow of the Royal Society of Canada (Academy of Science) and former Killam Research Fellow of the Canada Council (1989-1991), he received in 1994 the Distinguished Statistical Ecologist Award of the International Congress of Ecology (INTECOL) and in 1995 the Romanowski Medal (environmental science) of the Royal Society of Canada. He is the author of 134 refereed articles, and over 300 papers presented at scientific meetings and research seminars, dealing with numerical ecology, community ecology, environmental assessment, spatial analysis and phylogenetics, as well as 7 textbooks (in French and English) on numerical ecology. He is a current member of the Board of Editors for Ecology and Ecological Monographs, published by the Ecological Society of America.

B.-L. LI is Assistant Professor of Mathematical & Theoretical Ecology and Associate Faculty of Albuquerque High Performance Computing Center at the University of New Mexico, and a Visiting Scientist at the German Ecology Center at Kiel, Germany. He received D.Sc. in ecological modeling, Wuhan, China. He is an elected Fellow of the Institute for Human Ecology. He is a Guest Editor and serves on the Editorial Advisory Board of Ecological Modelling, the official journal of the International Society of Ecological Modelling, published by Elsevier Science. He has organized ten international and regional conferences, symposia and workshops in spatial dynamic modeling, statistical ecology, fuzzy modeling, spatial processes and scaling, and ecological modeling for International Association for Ecology, International Society of Ecological Modeling, and World Bank since 1988. He has served on Proposal Peer-Review Panel for the USDI GCMRC Monitoring and Research Program and on the DOE Computational Science Initiative Panel for Nonlinear Complex Phenomena for FY 2000. He has published more than 60 refereed journal articles, six book chapters, one book, three edited proceedings, and three lecture notes. Currently he is a Co-PI responsible for modeling and analysis for NSF Sevilleta LTER site in New Mexico. Current research activities include mathematical and physical approaches to biological evolution and diversity, spatial data analysis and dynamic modeling, ecological indicators, hierarchical ecosystems analysis, energetic and thermodynamic foundations of ecological systems, multifractals and wavelets.

ERNST LINDER is Associate Professor of Statistics in the Department of Mathematics at the University of New Hampshire (UNH). He has received a Ph.D. in Statistics, Penn State, a M.S. in Mathematics from Union College, and Diploma in Mathematics from ETH, Zurich, Switzerland. He is a member of the American Statistical Association, the International Biometric Society, the Institute of Mathematical Statistics and the International Environmetrics Society. He is an editorial collaborator of Environmental and Ecological Statistics. He has been instrumental in the creation of graduate statistics programs at UNH.
   Dr. Linder's research has been mainly in the crossdisciplinary context of environmental statistics. He has worked on numerous interdisciplinary projects with environmental scientists. As a results he has published papers in many different areas of statistics, such as measurement error models, resampling methods, fisheries statistics, environmental risk assessment, quantal response models, optimal experimental designs, biological sampling, Bayesian statistics, and spatial statistics. His current interests are in spatial and spatial-temporal statistics and their applications to the study of biogeochemical processes related to global climate modeling.
 

CRAIG LOEHLE is a senior scientist with the National Council of the Paper Industry for Air and Stream Improvement (NCASI). He worked at various DOE laboratories from 1984 to 1998. He has published 90 scientific papers on forest ecology, ecological modeling, quantitative and statistical methods, evolution, geophysics, natural resource management, climate change, and sexual selection. Dr. Loehle is the author of two books. On the Shoulders of Giants (George Ronald, Oxford, 1994) explores the connections between science and religion from a BahaÆi perspective. Thinking Strategically (Cambridge U. Press, 1996) develops a strategic approach to creativity and problem solving. He has served on DOE and NSF review panels. Current research involves forest dynamics modeling, climate change and ecosystem response, tree life history theory, and the application of optimization to landscape natural resource management. He is an associate editor for Ecological Modelling.
 

KAMLESH LULLA is Chief of Office of Earth Sciences of Space and Life Sciences Directorate at NASA Johnson Space Center in Houston, Texas. Dr. Lulla directs the Earth Observations Science activities from the Space Shuttle Flights, the International Space Station and NASA-Russian MIR joint Earth Science projects. He is also responsible for directing the training of NASA Astronauts and MIR Cosmonauts in Earth Observation Sciences.
    Prior to assuming the duties of the office chief, Dr.Lulla served as Chief, Earth Science Branch and as the Senior Lead Mission Scientist for Earth Observations for the Space Shuttle Flights. As a team leader of astronauts trainers and briefers, he coordinated the acquisition of scientifically useful imagery and data. Dr. Lulla also directs the earth science data collection and database development activities.
    Dr. Lulla holds two Ph.D. degrees and combines his expertise in Earth and Space sciences in operational and research activities at NASA. He served as a Senior Associate Professor and Director of Remote Sensing and GIS Research Center at Indiana State University , Terre Haute, IN before joining NASA in 1988 and moving to Houston, Texas. Currently, he is an adjunct professor at the University of Houston-Clear Lake, Kansas State University and the University of Delaware.
    Dr. Lulla is a widely published author. He has co-authored four books and authored over 200 papers and reports in international scientific journals/publications. He is also the Chief Editor of Geocarto International- a major international journal in Earth Science Remote Sensing and an Associate Editor of Photogrammetric Engineering and Remote Sensing. Dr. Lulla currently serves as the Chair of Technical Committee on In-space Imaging and Astronaut Obervations of Houston Section of American Institute of Aeronautics and Astronautics (AIAA).
    Dr. Lulla has received several awards from scientific societies such as the American Institute of Aeronautics and Astronautics (AIAA), American Society of Photogrammetric Engineering and Remote Sensing (ASPRS) and Association of American Geologists and Geographers (AAG). In 1996, Dr. Lulla received the prestigious Space Remote Sensing Medal from the Association of American Geographers. In 1997, he received the NASA medal of commendation.
 

IAN MACNEILL is a native of Saskatchewan, Canada and did his undergraduate work at the University of Saskatchewan. He then did a MA in mathematics at Queen's University and a PhD in statistics at Stanford University. Most of his academic career has been spent at the University of Western Ontario. For 15 years he was head of statistical and actuarial science at Western and during that time was founding Chair of the Department of Statistical and Actuarial Sciences. He is now Professor Emeritus in that Department.
    Ian's academic speciality is time series analysis and forecasting. A substantial amount of his research has been in the area of detection of parameter changes at unknown time points. This work has been extended to spatial and higher dimensional data where the problem arises of the detection of the possible presence of boundaries separating regions characterized by different sets of parameters. Publications (joint with former graduate students in many cases) in these areas include: Annals of Mathematical Statistics (1971), Annals of Statistics (1974) (1978) (1993), Annals of Probability (1978), Journal of Applied Probability (1985), Stochastic Processes and Their Applications (1989), Journal of the Royal Statistical Society, Series B (1997), Journal of Business and Economic Statistics (1999).
    Ian's association with ecology and environmental science began with contract work on acoustic devices for the Marine Ecology Laboratory in Dartmouth, Nova Scotia. Some of this work was presented at the landmark Symposium on Statistics and Ecology held at Yale University in 1968. Ian was co-organizer of the first two International Conferences on Environmetrics at which The International Environmetrics Society was founded. He was also the co-founder of the journal Environmetrics (anyone searching for back issues of Environmetrics will find the issues of volume 1 in the basement of Pat and Ian MacNeill's home in London, Canada).
    As well as in environmental science, Ian has developed and applied statistical methodology in other areas. He was the founding Director of the STATLAB at the University of Western Ontario, and worked in the area of medical statistics. He has developed modelling and forecasting methods for incidence and mortality rates, and has applied these methods to cancers and other chronic diseases. He has also been involved with risk factor surveillance at Health Canada's Laboratory for Disease Control.
 

ELIZABETH H. MARGOSCHES is currently a Statistician in the Existing Chemicals Assessment Branch, Risk Assessment Division, Office of Pollution Prevention and Toxics (OPPT), Office of Prevention, Pesticides and ToxicSubstances (OPPTS), US Environmental Protection Agency (USEPA), Washington, DC. She has held a variety of roles in branches and sections tasked with risk assessment over her nearly 20 years at the USEPA. She was Chief of the Epidemiology and Quantitative Methods Section, in the Health and Environmental Review Division (HERD), and Chief of the Statistical Analysis and Epidemiology Section, in the Exposure Evaluation Division (EED), both in OPPT. She has also been Acting Chief, Health Effects Branch, HERD, and a Policy Analyst, on the Policy Staff of the Director, Office of Toxic Substances (OTS). She started her USEPA career as a Statistician in HERD and EED, OTS and Office of Testing and Evaluation (OTE). Prior to her statistical career, Dr. Margosches worked for some years at Educational Testing Service, as a specialist in test construction. Her education includes Ph.D. and M.P.H. in Biostatistics from the University of Michigan; M.S. in Statistics from Rutgers - The State University of New Jersey; and A.B. in Mathematics from Bryn Mawr College.
    Within the Agency, Dr. Margosches has contributed to its Dose-response Guidelines for Carcinogen Risk Assessment, Mixtures Risk Assessment Guidelines and their revisions, Benchmark Dose deliberations, Carcinogen Consensus Review for the initial 10 years of the Integrated Risk Information System, and the EPA Statistical Policy Advisory Committee. She served on the Subcommittee on Modeling and Biostatistics, Committee on Methods for the In Vivo Toxicity Testing of Complex Mixtures, National Research Council (1985-1987) and recently completed an extended term on the Ohio State University Statistics Department
Board of Industrial Advisors.
    A member of the ASA/Washington Statistical Society, International Biometric Society (ENAR), and Society for Epidemiologic Research, Dr. Margosches is currently Past President (1998) of the Caucus for Women in Statistics.
 

JAMES MATIS is a professor in the Department of Statistics at Texas A&M University. His long-term research interests center in developing theory and methodology for stochastic compartmental models, particularly as applied to biological and ecological systems. His recent work has focused on stochastic population modelling associated with insect and animal spread, including modelling the dispersal of the African honey bee.
    He received his PhD in statistics from Texas A&M in 1970, and is the author of over 100 publications. He is a Fellow of ASA and a Member of ISI, and has received the Distinguished Statistical Ecologist Award (INTECOL). His international experience includes work as a UN statistical consultant in India and China, and a recent (Fall 95) Fulbright Research Award to India.
 

JAROSLAV MOHAPL obtained his master's degree in Mathematical Analysis from the Palacky University, Olomouc, Czech Republic. After several years of practicing statistics at the Medical Faculty of the Palacky University he was offered a scholarship at the Statistics Department of the University of Waterloo, Canada. In Waterloo he specialized in spatial data analysis and obtained a Ph. D. degree in Statistics. Currently he is a visiting fellow at the Atmospheric Environmental Service (AES) in Downsview, Ontario, sponsored by the Canadian NSERC, AES and the Ontario Ministry of Environment. His recent research is focused on application of spatiotemporal dynamic models described by ordinary and partial stochastic differential equations to atmospheric chemistry data. He is an author of several papers concerning both theoretical aspects of the spatiotemporal models as well as statistical problems related to their applications, such as model identification, parameter estimation and hypothesis testing.
 

WAYNE L. MYERS. ANALYTICAL SYSTEMS FOR NATURAL RESOURCES MANAGEMENT is the continuing theme of a multifaceted career emphasizing forested ecosystems beginning with a B.Sc. degree from the Univ. of Michigan in 1964 including Phi Beta Kappa. The early focus was on biological aspects, with an M.F. in forest ecology (U. of Mich., 1965) and Ph.D. in forest entomology (U. of Mich., 1967) encompassing a teaching fellowship in tree physiology and research assistantship in forest entomology.
    Professional work began as a research scientist in forest entomology at the Canadian Great Lakes Forestry Research Centre in Sault Ste. Marie, Ontario where focus soon shifted to the quantitative with appointment as Regional Biometrician in 1967. An academic career context was established in 1969 on the faculty of Michigan State Univ. as assistant professor in forest resource inventory. Remote sensing became a technological focus with the advent of NASA's earth resource initiatives (ERTS/Landsat & SKYLAB) in the early 1970s. Promotion to associate professor came in 1974; and a pattern of tempering academics with agency involvement began in the same year with a 3-month leave from the university to work with the U.S. Forest Service on timber management inventory in the Pacific Northwest. Opportunity for substantial pursuit of international interests came in 1976 with a 2-month consultantship in Brazil.
    A 1978 move to Penn State Univ. was prompted by advantages of broadened institutional experience, more complex local topography, one-day drive to Washington, D.C., and interdisciplinary orientation. Ecosystem focus produced a book on Survey Methods for Ecosystem Management published by John Wiley in 1980. An interdisciplinary spectrum of work at Penn State has encompassed intercollege graduate programs in ecology and operations research, faculty manager of the experimental forest, faculty associate of the Center for Statistical Ecology and Environmental Statistics, and Codirector of the Office for Remote Sensing of Earth Resources.
    A background of international involvement spanning Brazil, Canada, India, Kenya, Malaysia, Taiwan, and Europe gave rise to a 2-year (1988-89) expatriot assignment as forestry advisor in India under a Joint Career Corps contract with USAID focusing on natural resource sustainability and social forestry. That work spawned a personal mission to facilitate mobilization of knowledge and technology through intelligent computer systems, and to develop computer-based spatial capability for using landscape logic in support of applied landscape ecology. This has encompassed a 1993 fellowship with Forest Research Institute Malaysia, and a 1998 sabbatical with Pennsylvania DCNR, Bureau of Forestry.
 

JIM NORRIS is an Associate Professor of Mathematics at Wake Forest University. He received a PhD in Statistics from Florida State University in 1990. He received separate MS degrees in Forestry (1980) and Statistics (1982) from North Carolina State University. Jim has worked as a statistical consultant for many years, including several years with Idaho's School of Agriculture. Since receiving his doctorate, Jim has published several papers, most of which have been in the area of ecological statistics. In particular, most of Jim's work has involved minimizing assumptions and thus allowing heterogeneous situations and often utilizing nonparametric methods.
 

SARAH M. NUSSER is an Associate Professor in the Iowa State University Department of Statistics, Professor-in-charge of the Statistical Laboratory Survey Section, and a member of Ecology and Evolutionary Biology program faculty. She holds a M.S. degree in Botany from North Carolina State University and a Ph.D. in Statistics from Iowa State University. She has collaborated with the U.S. Department of Agriculture Natural Resources Conservation Service to develop survey designs and statistical methods for the National Resources Inventory, soil survey updates, and watershed health assessment surveys. Nusser's research interests include the use of statistics in biological and ecological studies, survey sampling for natural resource and human populations, computer-assisted survey information collection systems, statistical methods for dietary assessment, and survey methods for welfare program evaluation studies. Research conducted by Nusser and her collaborators has been funded by the Natural Resources Conservation Service, Economic Research Service, Agricultural Research Service, Census Bureau, National Center for Health Statistics, and National Science Foundation.
 

ANTHONY R. OLSEN is a senior mathematical statistician at the U.S. Environmental Protection Agency's Western Ecology Division, Corvallis, Oregon. He received a PhD in statistics from Oregon State University in 1973. He has received the Distinguished Achievement Award from the American Statistical Association's Section on Statistics and the Environment and the distinguished statistical ecologist award of the International Association for Ecology.
    Dr. Olsen's research focuses on the development of large-scale ecological monitoring studies and statistical graphics for geographical data. Prior to joining the U.S. EPA, he was a senior research scientist and statistics group manager at Battelle Pacific Northwest Laboratories from 1974 to 1990. His research emphasized atmospheric science, environmental, and national security research projects. Dr. Olsen also was the lead statistician for weather modification research while he worked at the NOAA Experimental Meteorology Laboratory from 1972 to 1974.
 

LÁSZLÓ ORLÓCI is Emeritus Professor of Statistical Ecology in Plant Sciences, the University of Western Ontario, London, Canada; Visiting Professor in Botany, the University of Hawaii at Manoa, Honolulu; Forest Engineer.
    He has B.S.F., Sopron, Hungary; M.Sc., Ph.D., Biology, University of British Columbia; D.Sc. h.c., Biological Sciences, Della Università Degli Stadi di Trieste. He is External Member, Magyar Tudományos Akadémia (Hungarian Academy of Sciences), Budapest; Fellow, Academy of Science, the Royal Society of Canada, Ottawa; INTECOL Distinguished Statistical Ecologist.
    Orlóci was appointed NATO Science Fellow, Univeristy College, Bangor, U.K.; Visiting Professor, Botany, University of Hawaii at Manoa, Honolulu; Distinguished Visiting Professor, Biology, New Mexico State University, Las Cruces; CNPq Distinguished Visiting Scientist, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Academic Advisor and Visiting Professor, Northeast Forestry University, Harbin, China.
    Orlóci was involved in extensive international teaching and research at the institutions above and the Istituto per le Applicazioni del Calcolo, Rome; Università di Roma, Italy; ETH, Zürich, Switzerland; Universidad Nacional de Rosario, Rosario, Argentina; International Centre for Theoretical and Applied Ecology, Gorizia, Italy; Università di Sassari, Sardinia; EAE-CSIC of Spain and Universidad de León, Spain; Botany Division, Academia Sinica, Beijing, China; ELTE, Budapest, Hungary.
    Orlóci is a member of the Canadian Botanical Association; the Ecological Society of America; the International Association for Vegetation Science. He served as editor with numerous scientific journals and edited numerous books. He served as convener of symposia, workshops; statistical consultant; co-proponent, International Center for Theoretical and Applied Ecology (Italy); Treasurer, Classification Society; Board Member, INTECOL, Statistical Ecology Section; Chair/Co-Chair, Board of Directors, International School of Vegetation Science, "a school without walls"; Member, Science Council, International Center for Theoretical and Applied Ecology; Director/Co-Director, International Workshop Program at CETA; Member, INTECOL Distinguished Statistical Ecologist Award Committee; Chair, UNIDO-ICE Working Group on Modeling Vegetation-Climate Interactions; Member, Advisory Council, International Association for Vegetation Science; Panel member, Scientific Planning and Coordination, International Center for Science and High Technology.
    Over three decades Orlóci contributed substantially to the development of basic concepts and applications in statistical ecology. He has directed case studies on the potential environmental impact of gas pipe line construction, Alaska Highway, Yukon; conducted ecological investigations in coastal sand dune communities, salt marsh vegetation; arid scrublands, grasslands; coastal temperate rainforests; boreal vegetation; temperate deciduous forests; temperate and tropical alpine, sub-alpine vegetation.
    Orlóci's current research interests are in community complexity and dynamics; ecological sampling and inferences; character-based community analysis; numerical generalization of the taxon concept in species-free terms; quantification of the van Post parallelism in community development; determinism and chaoticity of development in multispecies communities; hierarchical vegetation dynamics; fuzzy community components and their handling in data analysis; theoretical implications of Braun-Blanquet type (preferential) sampling; phytocoenological effects under climate warming; vegetation/environment relations in the Montreal River Basin; native and ruderal communities of the southern Yukon; vegetation/environmental gradients in Ngorongoro and adjacent Serengeti, Tanzania. His research program also includes studies of climate/vegetation relations in Santa Catalina Mountains, Arizona; the Teide, Canary Islands; Mauna Kea and Haleakala, Hawaii; Xiao Xingan Mountains, Heolongjiang, China; Cordillera Cantabrica (Spain) and amelioration research on the Campos grasslands in Riogrande do Sul, Brazil; ecosystem reconstruction, Heilongjiang, China.
    Orlóci has presented over 80 invited colloquia and seminars in Africa, Asia, Europe, North and South America. He published more than 110 scholarly papers and monographs.
 

OMER OZTURK is an Assistant Professor of Statistics at Ohio State University. He received Ph.D in Statistics, Penn State University. His recent research interests include nonparametric procedures for problems in ranked-set sampling and simple random sampling, robust estimation and testing, and rank based statistical inference.
 

G. P. PATIL is Distinguished Professor of Mathematical Statistics and Founding Director of the Penn State Center for Statistical Ecology and Environmental Statistics. He has received Ph.D. in Mathematics, Michigan; D.Sc. in Statistics, Indian Statistical Institute; Hon. D.Sc. in Biological Sciences, Parma, Italy; and Hon. D. Litt, Poona, India. He has been a founder and chair of the Section of Statistics and the Environment of the American Statistical Association. He has been a founder and chair of the Statistical Ecology Section of International Association for Ecology. He has been a founder of the Statistical Ecology Section of the Ecological Society of America. He has been a founding member of the Society for Risk Analysis and was the first chair of its committee on special projects responsible for risk assessment formulation. He is Editor-in-Chief of Environmental and Ecological Statistics, published by Kluwer and serves on the Editorial Advisory Board of Environmetrics, a Journal of the International Environmetrics Society.
    Dr. Patil has been the first mathematical statistics recipient of a most significant paper award of American Fisheries Society, the first distinguished statistical ecologist award of the International Association for Ecology and a first distinguished achievement medal for statistics and the environment of the American Statistical Association. He has been a fellow of the Institute of Mathematical Statistics, American Statistical Association, American Association of the Advancement of Science, International Statistical Institute, a founding member of the Board of International Center for Theoretical and Applied Ecology, Trieste, Italy, a founding member and a vice-chair of the Standing Committee on Environmental Statistics of the International Statistical Institute, and a visiting Professor of Biostatistics at the Harvard School of Public Health.
    Over the past thirty year period, Dr. Patil has been in the forefront of research and outreach in statistical ecology, environmental statistics, and quantitative risk analysis. He is author and co-author of over 250 research publications in professional journals and in refereed volumes. He is author, co-author, editor, and co-editor of twenty-five monographs and cross-disciplinary volumes. He has directed several satellite programs, institutes and workshops related to statistical ecology, environmental statistics and statistical distributions in scientific work. From time to time, he has served on advisory committees and participated in program formulation and research workshops of several federal and state government agencies and environmental research institutes and industries, such as: DOE, EPA, NIH, NOAA, USDI, PADER, EPRI, GRI, NAFTA, etc.
    Current research projects and activities include spatial statistics, geographic information systems and remote sensing, innovative sampling and observational economy, ecological sampling and analysis, environmental monitoring and assessment, integration of environmental data and information, biodiversity measurement and comparison, benchmark dose modeling and assessment, and superfund site characterization and evaluation under cooperative research agreements with the U.S. Environmental Protection Agency and National Science Foundation. He is now heavily involved with national and international initiatives dealing with environmental and ecological regional policy research with remote imagery, geospatial information, and landscape fragmentation.
 

BERNARD C. PATTEN is Regents' Professor of Ecology at the University of Georgia, USA. He studies systems ecology, trying to understand ecological phenomena through the perspectives of mathematical systems theory. He is known for a system theory of the environment, environ theory, which pioneers the use of network mathematics to analyze complex interconnected networks. He has advocated network models as the fundamental vision of ecosystems and the way nature works. He is a practitioner of ecological modeling and systems analysis.
    Professor Patten's publications number about 140 papers on a variety of ecological topics spanning marine, freshwater, and wetland ecosystems, and the series of books on, "Systems Analysis and Simulation in Ecology" (1972-76, Academic Press). He has also edited books on "Compartmental Analysis of Ecosystems", a comprehensive two-volume work on the world's wetlands, "Wetlands and Shallow Continental Water Bodies", and most recently "Complex Ecology, The Part-Whole Relation in Ecosystems" (1995, Prentice Hall). Two new books, "Holoecology, the Unification of Nature by Network Indirect Effects" and "The Ecosystem, Sourcebook of Systems Ecology", are in preparation.
    During 1975-86, Dr. Patten was Principal Investigator of a whole-ecosystem study of Okefenokee Swamp, Georgia. From 1978-88, he served as a member of the US Environmental Protection Agency's Science Advisory Board. He chaired SCOPE/ICSU's Scientific Advisory Committee on Wetlands, which beginning in 1979 conducted a series of international workshops leading to the two wetland volumes. He served as president of the International Society for Ecological Modelling-North America from 1982-90. He is an adjunct professor at the SUNY College of Environmental Science and Forestry in Syracuse.
    Professor Patten has lectured widely and conducted numerous short courses in systems ecology, both nationally and internationally. He has been a distinguished visiting professor, and served on the editorial boards of several respected scientific journals.
 

JOE N. PERRY has worked in the Department of Entomology & Nematology at Rothamsted Experimental Station for six years, following sixteen years in the Statistics Department. He was awarded a D.Sc degree by the University of Reading in 1989. Since 1994 he has been Visiting
    Professor of Biometry at the University of Greenwich. In 1998 he received the Distinguished Statistical Ecologist Award of the International Association for Ecology. He is interested in the applications of statistics in entomology and ecology, and particularly in the spatial and temporal dynamics of populations. Over recent years his research has focused on the development of the SADIE (Spatial Analysis by Distance IndicEs) system to measure spatial pattern for ecological data in the form of counts. He has published ninety papers in refereed journals and over twenty full-length papers elsewhere. Two recent examples are: (i) Perry, J.N. (1998). Measures of spatial pattern for counts. Ecology, 79, 1008-1017; and (ii) Perry, J.N., Winder, L., Holland, J.M. & Alston, R.D. (1999). Red-blue plots for detecting clusters in count data. Ecology Letters, 2, 106-113. He enjoys gardening and playing cricket, and is keen to help anyone to understand this most English of games.
 

KENNETH H POLLOCK, Professor of Statistics, Biomathematics and Zoology, North Carolina State Uiversity is a Fellow of the American Statistical Association and has won various publication awards including the Snedecor Award for best publication in Biometrics in 1991.
    He is a native of Australia where he obtained a B.S. in agriculture from the University of Sydney. He completed his M.S. and Ph.D. degrees in Biological Statistics from Cornell University. At Cornell, Pollock worked with Douglas S. Robson and Daniel L. Solomon who excited his interest in Statistical Ecology. While a student he attended one of the early workshops on Statistical Ecology organised by Professor Patil. Pollock has written over 120 articles and 4 monographs on sampling animal populations. He commonly serves as an advisor to Fish and Wildlife agencies on statistical issues. At North Carolina State University, Pollock is currently Director of the Biomathematics Graduate Program. This program trains graduate students in the sound use of mathematical modeling, computational methods, and statistical inference to solve real biological problems. Application areas in Biology range from DNA sequencing to Wildlife and Fisheries
 
 

C. R. RAO started his career as a statistician in 1941 at the Indian Statistical Institute founded by Professor P. C. Mahalanobis, where he established the famous Research and Training School which produced a number of outstanding mathematicians, probabilists and statisticians and won international recognition. He succeeded Professor Mahalanobis as the Director and Secretary of the ISI. After retirement from the ISI, he continued his association with the Institute as Jawaharlal Nehru Professor and later as National Professor.
    Described as one of the pioneers who laid the foundations of modern statistics along with Karl Pearson, Fisher, Wald, Cramer and Hotelling, Dr. Rao received his Ph.D. and Sc.D. from the Cambridge University in U.K. and was awarded 21 Honorary Doctorate degrees from universities in fifteen different countries around the world.
        He is author of 14 books and 300 research publications in statistics. Several of his results in statistics bear his name and are incorporated in modern text books on statistics, e.g. Cramer-Rao inequality, Rao-Blackwell Theorem, Fisher-Rao Theorem, Rao's Score Statistic, Rao's Orthogonal arrays to name a few.
    Two of Rao's papers-one on estimation theory and another on asymptotic inference have been included in the publication on Breakthroughs in Statistics During the Last 100 Years.
    Times of India (dated 12.31.89) chose C. R. Rao as one of top 10 outstanding scientists of modern India considering all disciplines. This list includes Nobel Laureates, C. V. Raman, S. Chandrasekar and H. Khorana.
    For his academic achievements, Dr. Rao received numerous awards. He has been made a Fellow of Royal Society (U.K. Academy of Sciences), Member of U.S. National Academy of Sciences, Fellow of the American Academy of Arts and Sciences, Fellow of the Indian National Science Academy, Fellow of the Third World Academy of Sciences and Foreign Member of the Lithuanian Academy of Sciences. He has been the President of the International Statistical Institute, Institute of Mathematical Statistics, USA, and the International Biometric Society.
    Rao was awarded numerous medals including the Guy Medal in Silver of the Royal Statistical Society, U.K., Wilks Medal of the American Statistical Association, Saha Medal of the Indian National Science Academy, Mahalanobis Birth Centenary Gold Medal of the Indian Science Congress, J. C. Bose Gold Medal of Bose Institute, Distinguished Achievement Medal of the Environmental Statistics Section of the American Statistical Association, and the Distinguished Statistical Ecologist Award of the International Association for Ecology.
    Member of the fifteen year pioneering Liaison Committee on Statistical Ecology of the International tatistical Institute, International Biometric Society, and the International Association for Ecology with D. R. Cox and G. P. Patil, Chair.
 

N. PHILLIP ROSS, 1997 - Present: Chief Statistician U.S. Environmental Protection Agency.  I am the Agency's senior statistical expert providing consultation and advice to all levels of Agency programs and managers. I am responsible for providing oversight and developing Agency statistical policy as it pertains to information products and public access to Agency databases. As the Chief Statistician, I represent EPA on the U.S. Government Inter-Agency Statistical Policy Committee as well as a number of interagency committees and workgroup on federal statistical policy, statistical methods and training. In addition to representing the Agency on intergovernmental committees, I also represent the Agency on international groups such as the Chairman of the Organization for Economic Cooperation and Development's (OECD) Group on the State of the Environment and UNEP, the United Nations Environment Program.
    1996 -1997: Director of the Center for Environmental Statistics in the Office of Planning, U.S. Environmental Protection Agency . I managed a staff of senior scientists, statisticians and program specialists with expertise in a variety of statistical, scientific and policy specialty areas. Chaired and/or represented the Agency on a number of inter-Agency Committees and on International Committees dealing with environmental statistics and information issues. Responsible for overseeing the quality of the statistical work produced by the Office of Planning. 1993 - 1995: Director of the Environmental Statistics and Information Division in the Office of Policy, Planning, and Evaluation, U.S. Environmental Protection Agency. Managed Agency initiative to provide centralized statistical capabilities to EPA. Responsible for continued development of new statistical methods, information products, environmental indicators, and public access to credible environmental information.
    1992 - 1993: Director Bureau of Environmental Statistics Working Group, U.S. EPA Lead responsibility for developing the Agency's plans to create a federal Bureau of Environmental statistics within the EPA. Worked with Agency management, Congress and interested outside parties to promote the creation of a Bureau. In addition to the policy and political aspects of creating the Bureau, managed the implementation of a number of new statistical information initiatives leading to the creation of the Agency's Division of Environmental Statistics and Information.
    1984 -1992: Chief of the Statistical Policy Branch, U.S. EPA. Managed a staff of high level statistical experts and other scientists providing oversight for a number of Agency information collection, monitoring and statistical projects. Chaired the Agency Statistical Policy Advisory Committee.
 

J. ANDY ROYLE is currently a statistician in the Office of Migratory Bird Management at the U.S. Fish and Wildlife Service where he is concerned with modeling bird population data and the relationships between bird populations and habitat structure. He has a B.S. in Fisheries and Wildlife management (Michigan State, 1990) and in 1996, he received a Ph.D in Statistics from  North Carolina State University where his dissertation research involved detecting nonstationarity in spatial data. As a graduate student, he was also involved in research at the National Institute of Statistical Sciences where he worked on issues associated with analyzing air quality data, and the design of monitoring networks. He was a visiting scientist in the Geophysical Statistics Project at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado until August, 1998. While at NCAR, he worked on a variety of spatial modeling problems in the atmosphericsciences. His interests are in spatial statistics and the application of statistics to wildlife and ecology problems.
 

JOHN R. SAUER is a Research Wildlife Biologist at the USGS Patuxent Wildlife Research Center in Laurel, MD. He has a B.A. in Ecology from Rutgers College, a M.S. in Zoology and Physiology from the University of Wyoming, and a M.A. in Mathematics and a Ph.D. in Systematics and Ecology from the University of Kansas. He was previously employed as a Statistician for the Office of Migratory Bird Management of the U. S. Fish and Wildlife Service. He has co-authored a variety of papers on quantitative ecology, co-edited 2 symposium proceedings, was on the editorial board of 2 additional symposium proceedings, was associate editor of The Journal of Wildlife Management, and was a Board Member of the Biometrics Working Group of The Wildlife Society. He has received awards for Best Paper in the Discipline of Landscape Ecology from the International Association for Landscape Ecology (1998), and Best Paper in USFWS Research (1993). He received a Superior Service Award from the US Department of the Interior (1998). He is an Elective Member of the American Ornithologist's Union. His research interests have a common theme of population ecology of vertebrates. He is interested in population modeling, estimation of rates of population change and survival from count and capture-recapture data, survey design and analysis, and use of geographic information systems and internet in summarizing and displaying animal population data.
 

KETRA A. SCHMITT is a statistical analyst at Peoples Energy corporation in Chicago and a part-time Masters student in the statistics department at the University of Chicago. Before coming to Peoples Energy, Ketra was a health inspector in the City of Evanston. She graduated from Duke University with a BA in Environmental Sciences and Policy in 1996 and attended the University of Illinois at Chicago for mathematics coursework during the 1997-1998 academic year.
 

MITCHELL J. SMALL is a Professor of Civil & Environmental Engineering, and Engineering & Public Policy, at Carnegie Mellon University. He joined Carnegie Mellon in 1982 following completion of his Ph.D. in Environmental & Water Resources Engineering from the University of Michigan. At Carnegie Mellon, Professor Small serves as the Associate Department Head for Graduate Education in the Department of Engineering & Public Policy. He has also worked as a consulting engineer, with Hydroscience, Inc., from 1975-1978.
    Mitchell Small's research involves mathematical modeling and statistical evaluation of environmental quality. He has developed methods for statistical modeling of variability and uncertainty for air, soil, surface-water and ground-water problems. His recent work has evolved to consider the impact of human risk perception and behavior in integrated exposure assessment, and has included collaboration with statisticians, toxicologists, economists, and behavioral and decision scientists. Current applications include the study of regulations and risk communication for drinking water utilities, decision support for site and soil remediation, and
integrated assessment of ambient particulate matter. Support for this research has come from a number of government agencies and private industry, including a National Science Foundation Presidential Young Investigator Award from 1986-1991.
    Professor Small has been active in providing advice to the US Environmental Protection Agency, first as a member of the Science Advisory Board (SAB), Environmental Engineering Committee, 1985-1991, and currently as a consultant to the SAB and a member of the EPA ORD Board of Scientific Counselors (BOSC). He has been a member of four National Research Council Committees reviewing issues of environmental contamination and risk in the United States, most recently the Commission on Behavioral and Social Sciences and Education's Committee on Risk Characterization. He currently serves as an Associate Editor for the journal Environmental Science & Technology, with particular responsibility for the Policy Analysis section.
 

ERIC P. SMITH is the director of the Statistical Consulting Center and a professor of Statistics at Virginia Polytechnic Institute and State University. Dr. Smith has worked in the areas of environmental statistics, multivariate analysis and statistical ecology for over 15 years. He is an associate editor for Environmetrics, JABES and JASA. He also serves as the secretary for The International Environmetrics Society. Current research interests include design of chronic toxicity studies, multivariate analysis of environmental and ecological data, model averaging and uncertainty analysis.
 

RICHARD L SMITH has been Professor of Statistics, University of North Carolina, Chapel Hill, since 1991. He obtained a BA in Mathematics from Oxford University in 1975, and a PhD in Operations Research from Cornell in 1979. Apart from his current position he has also held academic posts at Imperial College London, the University of Surrey and Cambridge University. He has won the Guy Medal in Silver of the Royal Statistical Society and is a Fellow of the IMS and a Member of the ISI. His interests in environmental statistics date back to the early 1980s and include extreme value theory applied to hydrology, oceanography, meteorology and air pollution, time series methods to detect trends in climatological and environmental series, and spatial statistics applied to rainfall modeling, climatological trends and air pollution. He has also contributed to the debate over the health effects of airborne particulate matter. Since moving to North Carolina he has been an active participant in the environmental statistics research of the National Institute of Statistical Sciences, has collaborated with scientists at the Environmental Protection Agency and the National Center for Atmospheric Research, and has been an invited speaker at many international meetings.
 

KEITH M. SOMERS B.Sc.(Waterloo), M.Sc. (Toronto), Ph.D. (Univ. W. Ontario), NSERC PDF (Toronto). Keith is an aquatic ecologist - biostatistician with the Dorset Environmental Science Centre of the Ontario Ministry of the Environment, an Adjunct Associate Professor with the University of Toronto, and a Conjunct Professor with Trent University. Keith works on the shallow-water benthos and crayfish in lakes and streams in south-central Ontario. He collaborates with a number of colleagues who have collected long-term data sets on the biota and chemistry of small, softwater lakes. These collaborations include the development of statistical methods for examining temporal coherence, or the synchrony of relatively short time-series data. In 1998, Keith received a Staff Achievement Award in Research and Technology Development for his work on rapid bioassessment protocols. He is currently working on statistical methods to characterize normal or background conditions in order to evaluate the ecological significance of environmental impacts. Each year he teaches a graduate course on applied multivariate biometry at Trent University. Prior to his appointment to the Dorset Environmental Science Centre, Keith worked as an aquatic ecologist with the Great Lakes Section of the Water Resources Branch of the Ontario Ministry of the Environment. In that position, his efforts focused on issues associated with the statistical assessment of water quality in the Great Lakes, including benthos, sediments, and contaminants in fish.
 

A. STEIN is Associate Professor of Geostatistics at the Department of Environmental Sciences of the Wageningen Agricultural University and Visiting Professor of Spatial Statistics at the ITC International Institute of Aerospace Surveys and Earth Sciences, in Enschede, The Netherlands. He has graduated in Mathematics and Information Sciences and received a PhD in the Agricultural and Environmental Sciences in Wageningen. He is coordinator of the Methodology Programme of the CT de Wit Research School of Production Ecology. The mission of this school is to understand and deverlop land use systems to achieve multifunctional agricultutal and natural ecosystems that are environmentally safe, biologically sound and ethically acceptable. He is chairman of the Committee for Environmental Statistics of the International Statistical Institute. He is further chairman of the Netherlands Studygroup for Statistics in Earth Sciences. He is on the editorial board of Geoderma (Elsevier Science Publishers), Environmetrics (a Journal of the International Environmetrics Society) and Soil & Tillage Research (Elsevier Science Publisher).
    Recent research included probabilistic segmentation of satellite images, a systems approach towards environmental contamination and issues of optimal sampling. He is at present involved in space-time statistics on agriculture and the envirtonment and in issues related to precision agriculture, with an emphasis on pattern recognition and comparison procedures. These studies also have a strong third-world component, with studies ongoing in Niger. He is involved in the EU project on unification of indicator quality for assessment of impact of multidisciplinary systems (Uniquaims), with J. Riley as the head coordinator.
    Recent visits included the University of Western Australia, Stanford University, the University of Lisboa, Penn State University, the SAMOS conference in Venice (Italy) and the Sandberg workshop on image analysis (Denmark).
 

DON STEVENS is a Senior Staff Scientist with Dynamac Corporation. He holds the Ph.D. degree in Statistics from Oregon State University, which he attended on a Traineeship in Environmental Toxicology from the National Institute of Environmental Health Sciences. He also holds an M.S. degree in Mathematics from the University of Dayton and a B.S. degree in Mathematics from Antioch College.
    Dr. Stevens has over 25 years of experience as a researcher, consultant, and teacher. For the last 10 years, he has worked on research projects performed under contract to the U.S. EPA's National Health and Environmental Effects Research Laboratory - Western Ecology Division (NHEERL - WED). His most recent work has been investigating statistical methods for sampling spatially distributed environmental populations. This work has lead to the creation of a unified sampling theory and methodology applicable to resources such as lakes, streams and riparian zones, and large, extensive resources such as forests and estuaries.
    He has also consulted with a number of governmental bodies on designing focused environmental sampling plans. Some examples include a multi-year panel design for Coho salmon in Oregon coastal streams, a nested, multi-level design for sampling the Southern California Bight for the Southern California Coastal Water Research Project, a pre- and post-implementation impact-assessment design for a sewage treatment plant near the US-Mexico border, and a design to assess mercury contamination in the canals and marshes of South Florida. He is a member of the Scientific Planning and Advisory Committee for the Bay Protection and Toxic Cleanup Program of the California State Water Resources Board.
    Prior to his work at NHEERL, he was Associate Professor of Mathematics and Area Coordinator, Mathematics & Computer Science, at Eastern Oregon State University. During his time there, he was Principal Investigator on a cooperative agreement with EPA to develop and implement the statistical design for a nation-wide survey to describe the response of soil to acidic deposition. He also spent 9 years as a Senior Research Scientist at Battelle Pacific Northwest Laboratories, where he worked in various areas of biostatistics, including the construction of pharmacoekinetic models, design and analysis of dose-response experiments, and the analysis of incidence and prevalence of pathology or mortality using life table methods and competing risk models.
    Dr. Stevens is a member of the American Statistical Association (Sections on Statistics & the Environment and Survey Research Methods), and The International Environmetrics Society. He is the author or co-author of 40 publications in refereed statistical and applied journals, or government documents, and has made over 35 presentations at either statistical or application-field professional meetings.
 

WILLIAM STITELER received his PhD in statistics from the Pennsylvania State University in 1971. He is currently with Syracuse Research Corporation (SRC) where his work involves statistical aspects of risk assessment methodology. Prior to joining SRC, Dr. Stiteler had eighteen years experience as a university professor. He held positions as Assistant Professor at the Pennsylvania State University and as Associate Professor and Professor at the State University of New York College of Environmental Science and Forestry. During that time, he was involved in a variety of research projects dealing with statistical methodology and taught courses in statistical methods, experimental design, nonparametric statistics, sampling, multivariate methods, and modeling and simulation. He also served as a consultant for a variety of clients dealing with experimental design, statistical methodology, and pattern recognition.
    Dr. Stiteler's work at SRC has involved numerous projects to develop and evaluate methods for assessing risk associated with both single chemical and complex mixture exposures. This includes investigation of uncertainty factors for the RfD, methods for estimating a threshold, developing categorical regression case studies, evaluating different aspects of the benchmark dose method, and the statistical aspects of combining data sets for cancer risk assessment.
    Dr. Stiteler has been an invited speaker at several national and international symposia. He was an invited participant in the EPA Workshop on Superfund Hazardous Waste: Statistical Issues in Characterizing a Site, Washington, DC, February, 1990 and invited speaker and discussion leader at the Joint Statistical Meetings, Session on Statistics and the Environment, Anaheim, CA in August, 1990., He participated in the Carcinogen Combination Workshop held by EPA in Washington, DC. in April, 1991 and the Risk Assessment Forum Colloquium on Using Interaction Data in Mixtures Risk Assessment held in Cincinnati, Ohio in November, 1994. He participated in the 1993 Workshop on Benchmark Dose Methodology as a member of the Workgroup on Calculating a Benchmark Dose. He has served on the editorial review boards for Environmental Toxicology and Chemistry and for Reclamation and Revegetation Research.
 

MICHAEL R. STOLINE. I have been affiliated with Western Michigan University since graduation from the University of Iowa in 1967. One my recent missions has been to introduce environmental statistics to our University. Much of this activity has been focused on collaboration with working with faculty and students in our Department of Geology on environmental problems associated with groundwater contamination. Some of this collaboration has consisted of statistical examinations of groundwater trends at two Superfund sites in Kalamazoo County. Aspects of this work have been presented as testimony in several legal proceedings. Other aspects of this work have been published in Environmental Monitoring and Assessment and Groundwater Monitoring and Remediation. Currently I am a member of the Executive Committee of the newly-created Environmental Institute at Western Michigan University. One mission of this Institute is to conduct significant multi-disciplined environmental research and develop multi-disciplined instructional environmental science programs at Western Michigan University. I have developed (and given twice) an applied environmental statistics course for students in our graduate statistics programs at Western Michigan University using text materials by Helsel and Hirsch, Gilbert, Gibbons, and various statistical materials developed by the U.S. EPA.
    My earliest involvement with environmental statistics occurred in the period: 1984-1988 by providing services as a member of National Habitability Scientific Panel at Love Canal in Niagara Falls, New York. Since then my research interests have included investigating the Box-Cox family of transformations and the two-sample lognormal in environmental settings with censored data. This work has been published in Environmetrics. Most recently I have been working with students in the use of mixture normal and mixture lognormal distributions in environmental settings.
 

JIAYANG SUN is a tenured Associate Professor in the Department of Statistics at Case Western Reserve University. She received her Ph.D. in Statistics from Stanford University. Her current research projects include biased sampling, bump hunting, statistical computing, modern data analysis techniques, semiparametrics, nonparametrics and statistics in Astronomy. In addition to those topics, she had made some important contributions to random fields, time series and sequential analysis. Dr Sun won 1998 POWRE award from NSF in addition to the standard research awards from NSF continuously. Her research has been published in a variety of journals, including Annals of Statistics, Annals of Probability, JASA, Biometrika, JSPI, Statistica Sinica and Annals of Applied Probability. She also served as an adjunct (unofficial) associate editor for Annals of Statistics on a number of occasions and has been active in various professional panels. Dr Sun is the chief architect of the computer networks for the statistics department at CWRU and runs a modern data analysis sequence at CWRU.
 

GLENN W. SUTER II is currently Science Advisor in the U.S. Environmental Protection Agency*s National Center for Environmental Assessment- Cincinnati, and was formerly a Senior Research Staff Member in the Environmental Sciences Division, Oak Ridge National Laboratory, U.S.A. He has a Ph.D. in Ecology from the University of California, Davis, and 23 years of professional experience including 18 years of experience in ecological risk assessment. He is the editor and principal author of the major text in the field of ecological risk assessment, and has edited another book and authored more than seventy open literature publications. He has served on an International Institute of Applied Systems Analysis Task Force on Risk and Policy Analysis, the Board of Directors of the Society for Environmental Toxicology and Chemistry, an Expert Panel for the Council on Environmental Quality, and the editorial boards of "Environmental Toxicology and Chemistry," *Environmental Health Perspectives,* and "Human and Ecological Risk Assessment," among other positions. His research experience includes development and application of methods for ecological risk assessment, development of soil microcosm and fish toxicity tests, and environmental monitoring.
 

CHARLES TAILLIE is Senior Research Associate in the Department of Statistics and the Center for Statistical Ecology and Environmental Statistics at the Pennsylvania State University. He has a Bachelor's Degree from the University of Rochester and a Ph.D. from the Pennsylvania State University. Dr. Taillie's interests are in the development and application of quantitative methods to problems of biology, environment, and the health.
    Dr. Taillie has been a continuing member of the Penn State CSEES Group collaborating with NOAA (NEFC, OAD, CBSAC) and EPA (OPPE, ORD) on statistical and substantive issues involving statistical ecology, environmental statistics, and risk analysis since l977. He has been a recipient of the Distinguished Statistical Ecologist Award of the International Association for Ecology.
 

LINDA TEUSCHLER has been a Mathematical Statistician with the National Center for Environmental Assessment - Cincinnati Office (NCEA-Cin) since November 1989. Her current responsibilities include work on two scientific project teams, the Comparative Risk Project Team, which evaluates the human health risk trade-offs between disinfection by-products and pathogens from exposure to drinking water, and the Mixtures Project Team, which provides research and guidance on the health risk assessment of mixtures of environmental stressors. As a scientist, she serves as an expert mathematical statistician for NCEA-Cin, having received an M.S. in Mathematics, with a specialization in statistics, from the University of Cincinnati in 1987. She has been working in the area of human health risk assessment since beginning with NCEA-Cin and has gained extensive knowledge in the areas of dose-response modeling, assessment of carcinogenic and noncancer health risks, chemical mixtures risk assessment, team leadership and project management. Linda is a member of the EPA's Risk Assessment Forum Technical Panel that has produced a June 1998 revision to the 1986 Health Risk Assessment of Chemical Mixtures. She is also a member of the Society for Risk Analysis, and of the American Statistical Association.
 

H. TOUTENBURG was born in 1943. He is author of more than 40 monographs, coauthor of C.R. Rao. He has written more than 100 papers in international journals.
 

K.F. TURKMAN is professor of statistics in the department of statistics and operations Research, University of Lisbon, Portugal. At present, he is the president of the department and the director of the Centre of statistics of the Faculty of Sciences, University of Lisbon. He received his Ph.D. and MSc in Statistics, University of Sheffield, UK and BSc in Mathematics, Middle East Technical University, Turkey. He has been one of the founders of The SPRUCE initiative and currently is a trustee of the SPRUCE foundation. He is a fellow of the Royal Statistical Society, and a member of the International Statistical Institute. He is the author, co-author and co-editor of over 60 publications. Current research projects and activities include time series analysis, extreme value theory and screening methods.
 

JAY M. VER HOEF obtained a B.S. in Botany from Colorado State University in 1979, an M.S. in Botany from the University of Alaska, Fairbanks in 1985, and a co-major Ph.D. in both Statistics and EEB (Ecology and Evolutionary Biology) at Iowa State University in 1991. Since then he has been a Biometrician with the Alaska Department of Fish and Game in Fairbanks. He acts as a consulting statistician on a variety of wildlife research and management projects, and he continues his research in applying spatial statistical methods and empirical Bayesian methods to wildlife and environmental data. He is also an adjunct faculty member with the Department of Mathematical Sciences at the University of Alaska, Fairbanks.
 

JOHN WARREN is a Senior Statistician in the Office of Research and Development, Environmental Protection Agency. He is currently with the Quality Assurance Division, and provides authoritative advice on the application of statistical quality assurance techniques to the collection and interpretation of data He has responsibility for the development of Quality Assurance guidances on technical aspects of environmental Quality Assurance including Data Quality Objectives, and Data Quality Assessment. He is the principal instructor for quality assurance training and has responsibility for the development of advanced Quality Assurance training materials. John represents the Agency on the Statistics and the Environment Section of the American Statistical Association, and acts as the Division's liaison to the statistical environmental community.
 

JIM ZIDEK is a Professor of Statistics at the University of British Columbia. He is now in his second (non-consecutive) term as Department Head, the first beginning in 1984 when he became its Founding Head. He obtained his PhD from Stanford University after obtaining an MSc in Statistics from the University of British Columbia. He has had a position at the U of Washington, and visiting positions at the Imperial College, Stanford, University College London, the U of Bath, the U of Kent, the U of the Orange Free State, South Africa's CSIR and Australia's CSIRO. He has had a variety of positions by election or appointment including: Presidency of the Statistical Society of Canada; membership on an advisory committee of Statistics Canada (6 years), Mathematical Sciences Group Chair for Canada's Natural Sciences Engineering and Research Council (3 years), Editor of Statistical Science (5 years), Series Editor with Chapman and Hall (5 years) and Statistical Methods Editor for Wiley's new Encyclopedia of Environmental Statistics. He has been recognized by election to Fellowships in the Institute of Mathematical Statistics and the American Statistical Association as well as to Membership in the International Statistical Institute. In 1989 he won a Killam Research Prize.
    Professor Zidek's early (and some current) research interests lie in the areas of classical and Bayesian decision analysis. His work centered on the foundations of statistics and on the optimality of decision procedures. He has delved into both the theory and application of Bayesian methods. A particular focus of inquiry has been the group Bayesian decision problem.
    His interest in environmental statistics stems from an EPA funded study on acid rain that spanned seven years beginning in 1984. That study spawned by SIMS involved investigators at 3 centers (Stanford, the U of Washington and the U of British Columbia) It generated both methodology and impact analysis and stimulated work over the ensuing years to the present on spatial design, spatial prediction and the health impact analysis of air pollution. In particular, investigators at UBC are now involved with counterparts at Harvard on another study supported by the EPA, this one on the prediction of population level exposures to fine air borne particulates.
 

DALE L. ZIMMERMAN is Associate Professor of Statistics in the Department of Statistics and Actuarial Science of the University of Iowa. He received his B.S. in Biometry and Animal Ecology in 1980 from Iowa State University, his M.S. in Statistics in 1982 from the University of Minnesota, and his Ph.D. in Statistics in 1986 from Iowa State University. He is a member of the American Statistical Association, the International Biometric Society (ENAR), the Institute of Mathematical Statistics, and the International Environmetrics Society. He is the author or co-author of 30 refereed publications in scientific journals. He is currently an associate editor or Biometrics and for Environmetrics, and a collaborating editor for the journal, Environmental and Ecological Statistics. Also, he is the current treasurer of ENAR and has held other positions in ENAR and ASA. His areas of research interest include spatial statistics, environmetrics, longitudinal data analysis, correlated data, multivariate analysis, and linear models.
 

CRAIG L. ZIRBEL has been  an Assistant Professor in the Department of Mathematics and Statistics at Bowling Green State University since 1996.  Before that, he received the Ph.D. in Applied and Computational Mathematics from Princeton University, served as a Research Associate at the Institute for Mathematics and its Applications at the University of Minnesota, and as a Visiting Professor at the University of Massachusetts.  His research interests center on probabilistic modeling of complex fluid flows in the environment and the description and prediction of the motion of passive tracers carried by these flows.  He also works on statistical mechanics for nonlinear wave equations.

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