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Advancing Software for Ecological Forecasting

Advancing Software for Ecological Forecasting. Introduction:. Inference Engines. Scientific Workflows. Kruschke et al 2012 The time has come: Bayesian methods for data analysis in the organizational sciences. Schlesinger et al. 1979 Terminology for model credibility. Simulation.

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Advancing Software for Ecological Forecasting

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  1. Advancing Software for Ecological Forecasting

  2. Introduction: Inference Engines Scientific Workflows Kruschke et al 2012 The time has come: Bayesian methods for data analysis in the organizational sciences. Schlesinger et al. 1979 Terminology for model credibility. Simulation.

  3. Workshop Objectives Establish current state of our projects • Common challenges • Opportunities to collaborate, couple existing tools Foster collaborations, coupling of existing tools Identify common design principles and standards Envision next generation software Make science faster and more useful

  4. 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

  5. Lightning Talks and Workshop Participants

  6. Agenda: Wednesday and Thursday Wednesday 9 AM Keynote: Aaron Ellison, Harvard Reaching the 99%: making statistical software relevant and useful for ecologists 10-5 Working Groups Thursday 9 AM Plenary: Matt Jones, NCEAS Looking forward: what next? 10-5 Working Groups

  7. Sponsors NSF RCN: Forecasts Of Resource and Environmental Changes: data Assimilation Science and Technology (Yiqi Luo, PI) Additional Support: Microsoft Research Connections Institute for Genomic Biology

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