Advancing Software for

Ecological Forecasting

Introduction:

Scientific Workflows

Schlesinger et al. 1979 Terminology for model credibility. Simulation.

Inference Engines

Kruschke et al 2012The time has come: Bayesian methods for data analysis in the organizational sciences.

Workshop Objectives

Establish current state of our projects• Common challenges• Opportunities to collaborate, couple existing tools

Foster collaborations, coupling of existing toolsIdentify common design principles and standardsEnvision next generation software

Make science faster and more useful

Agenda: Today

9-10: Plenary• Welcome, David LeBauer, University of Illinois• Inference Engines, Perry de Valpine, University of California at Berkeley• Scientific Workflows, Matthew Smith, Microsoft Research, Cambridge

10-12: Lightning Talks (4 min ea.)• Scientific Workflow Projects• Inference Engine Projects

1-5 Working Groups

Lightning Talks and Workshop Participants

Agenda: Wednesday and Thursday

Wednesday 9 AM Keynote: Aaron Ellison, HarvardReaching the 99%: making statistical software relevant and useful for ecologists10-5 Working Groups

Thursday9 AM Plenary: Matt Jones, NCEASLooking forward: what next? 10-5 Working Groups

Sponsors

NSF RCN: Forecasts Of Resource and Environmental Changes: data Assimilation Science and Technology (Yiqi Luo, PI)

Additional Support:Microsoft Research ConnectionsInstitute for Genomic Biology