DIMACS Workshop on Global Change

Venue: 2063 Valley Life Science Building.

8:00 -  8:30  Registration and Breakfast

 8:30 -  9:00  Welcome and Background

 9:00 -  9:40  Revolutionizing Science & Mathematics Education: the global change challenge
               Mark McCaffrey, National Center of Science Education

 9:40 - 10:20  Mathematics and Climate: A New Partnership
               Hans Kaper, Georgetown University

10:20 - 10:50  Break

10:50 - 11:30  The Application of Information Theory to Ecology
               John Harte, University of California - Berkeley

11:30 - 12:10  A GIS Global Change Case Study
               Kevin Koy, University of California - Berkeley

12:10 -  1:30  Lunch

 1:30 -  3:00  Panel 1: Communicating Global Change:
               Minda Berbeco, National Center of Science Education, Barbara Cozzens, Holly Gaff, Old Dominion University

 3:00 -  3:30  Break

 3:30 -  5:30  Contributed Talks:
               Sea-ice Albedo Feedback and the Tipping Points in Algae Dynamics
               Ivan Sudakov, University of Utah

               Predicting Future Extinction Debt from Present-Day Community Patterns
               Justin Kitzes, University of California-Berkeley

               Optimal Control of Restoration - the Role of Economic Threshold
               Adam Lampert, University of California-Davis

               Both Climate Change and Land Use Change Influenceinvasive Species' Future Ranges
               Jennifer Weaver, University of California-Berkeley

               Towards a National Early Warning System for Human West Nile Virus Incidence
               Carrie Manore, Tulane University

               Wastes to Fuel - Waste a Valuable Resource
               Viral Sagar, Rutgers University

 6:00 -  9:00  Banquet Dinner and Talk
               Finding the Sweet Spot
               Richard Salter, Oberlin College

               Location:
               The Faculty Club
               Howard Room
               University of California, Berkeley

Tuesday, May 20, 2014

 8:00 -  8:30  Breakfast

 8:30 -  9:10  Massive Data Set Management and Analysis in the Context of Global Change
               Carl Boettiger, University of California - Santa Cruz

 9:10 -  9:50  Understanding Socio-Ecosystems as Complex Networks in Changing Environments
               Neo Martinez, University of Arizona

 9:50 - 10:30  Applications of GIS in Emerging Zoonotic Processes
               Jason Blackburn, University of Florida

10:30 - 11:00  Break

11:00 - 12:20  Panel 2: Data Deluge or Drought (Quality and Quantity):
               David Ackerly, University of California - Berkeley,
               Fred Roberts, Rutgers University,
               Philip Stark, University of California - Berkeley

12:20 -  1:30  Lunch

 1:30 -  3:00  Workshops 1 and 2 (in parallel)
               1: Student driven: Using Mathematics to Interface Global and Ecosystem Processes

               2: Student driven: Using Mathematics to Link Individual and Population Level Processes

 3:00 -  3:30  Break

 3:30 -  4:30  Workshops 1 and 2 (continue)
               1: Student driven: Using Mathematics to Interface Global and Ecosystem Processes

               2: Student driven: Using Mathematics to Link Individual and Population Level Processes

 4:30 -  5:00  Workshop report back

Wednesday, May 21, 2014

 8:00 -  8:30  Breakfast

 8:30 -  9:10  When All Models are Wrong
               Andrea Saltelli, European Commission JRC

 9:10 - 10:30  Panel 3: Are Our Models Adequate for Policy Formation:
               Solomon Hsiang, University of California - Berkeley,
               Donald Lucas, Lawrence Livermore National Laboratories,
               A. Marm Kilpatrick, University of California - Santa Cruz

10:30 - 11:00  Break

11:00 - 12:00  Way forward discussion

Scratch notes

One-at-a-time sensitivity: (OAT), instead of exhaustive combinations (Latin hypercube)

VV

Validation: are we solving the equations correctly Verification: are we solving the correct equations

UQ: Uncertainty Quantification

Using a particular scenario (double C02) -> a PDF Different models -> different PDFs

What are the nobs, what are the ranges?

Spread in a single model greater than spread across model means…