This workshop series is designed to help prepare the next generation of researchers and practitioners to work within, and contribute to, the data-rich era. Each workshop will bring together graduate students and senior scientists in environmental statistics and related fields to explore contemporary topics in applied environmental data modeling.

Across scientific fields, researchers face challenges coupling data with imperfect models to better understand variability in their system of interest. Inference garnered through these analyses support decisions with important economic, ecological, and social implications. Increasingly, the bottleneck for researchers is not access to data; rather, it is the need to identify and apply appropriate statistical methods using efficient software.

Workshop program and objectives

The workshop will consist of computing and modeling tutorials, presentations from graduate student participants, and several invited talks from established leaders in environmental data modeling. Tutorials and invited talks will address useful ideas and tools directly applicable to student participants' current and future research. To facilitate the exchange of information and shared learning, student talks should focus on modeling or computing challenges faced in their research.

Workshop participants will:

  • Develop new modeling and computing skills through hands-on analyses and lectures led by quantitative scientists

  • Share research findings and explore open questions within and at the interface of environmental, ecological, climatic, and statistical sciences

  • Learn about the National Center for Atmospheric Research (NCAR) and National Ecological Observatory Network (NEON) data resources that can facilitate scientific discovery

Workshop participants will also have ample time to enjoy the mountains and downtown Boulder.

Workshop tutorials:

    Climate data analytics

        Instructor: Doug Nychka, Institute for Mathematics Applied to Geosciences, NCAR

    Bayesian statistics and Monte Carlo integration strategies

        Instructor: Jennifer Hoeting, Department of Statistics, Colorado State University

    Hierarchical models for spatio-temporal data analysis

        Instructors: Sudipto Banerjee, Division of Biostatistics, University of Minnesota

                            Andrew Finley, Department of Forestry, Michigan State University

Application process:

Twenty five graduate students in environmental, ecological, climatic, and statistical science fields will be selected to participate in this year's week-long workshop.

Application materials are due April 4 and notification will occur around April 10. Application packets will be reviewed by the tutorial instructors. Please submit the following:

  1. Presentation title, abstract, co-authors, and affiliations (1 page)

    • student presentations should emphasize modeling or computing challenges/barriers to proposed or on-going research
  2. NSF style biographical sketch (2 pages)

Travel and local support fellowships are available and will be awarded on a competitive basis. To apply for a support fellowship, submit the following by the March 17 deadline:

  1. Level of support required. Indicate one of the following:
    • local only, i.e., food and lodging
    • travel and local, i.e., flight, food, and lodging
  2. Advisor letter of support indicating any matching funds offered by your institution

Application packets should be sent as a single PDF document to Andrew Finley at finleya@msu.edu with the subject "NCAR workshop application" in the subject.

Sponsors