Jump to content
Ornithology Exchange (brought to you by the Ornithological Council)

Graduate Workshop on Environmental Data Analytics (July 28 – August 1, 2014, Boulder, CO)

Recommended Posts

1st Annual Graduate Workshop on Environmental Data Analytics

July 28 – August 1, 2014

National Center for Atmospheric Research, Boulder CO.

Applications due *March 17, 2014*. Travel and lodging fellowships are available.

Workshop website: www2.image.ucar.edu/event/env-analytics

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.

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 lead 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 tutorials:

  • Climate data analytics -- Doug Nychka, Institute for Mathematics Applied to Geosciences, NCAR.
  • Bayesian statistics and Monte Carlo integration strategies -- Jennifer Hoeting, Department of Statistics, Colorado State University.
  • Hierarchical models for massive spatio-temporal data analysis -- Sudipto Banerjee, Division of Biostatistics, University of Minnesota. Andrew Finley, Department of Forestry, Michigan State University.

Please visit the workshop website for additional information.

Funded by the National Science Foundation, Division of Emerging Frontiers and the National Center for Atmospheric Research.

Link to comment
Share on other sites


This topic is now archived and is closed to further replies.

  • Create New...