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Institute for Sustainable Earth and Environmental Software ISEES

Institute for Sustainable Earth and Environmental Software ISEES. Matthew B. Jones National Center for Ecological Analysis and Synthesis (NCEAS) University of California Santa Barbara ISEES Science Drivers Workshop March 11-12, 2013. Science and Synthesis.

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Institute for Sustainable Earth and Environmental Software ISEES

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  1. Institute for Sustainable Earth and Environmental SoftwareISEES Matthew B. Jones National Center for Ecological Analysis and Synthesis (NCEAS) University of California Santa Barbara ISEES Science Drivers Workshop March 11-12, 2013

  2. Science and Synthesis • Role of synthesis in advancing science • Merger of synthesis with experimental and observational science

  3. Ocean Health Index (OHI) Ocean Health Index Halpern et al. 2012

  4. Pace of Shifting Climate in Marine and Terrestrial Ecosystems Burrows et al. 2011. Science 334:652-655 “The velocity of climate change is two to seven times faster in the ocean than on land in the sub-Arctic and within 15° of the equator...”

  5. Synthesis over time • Jackson et al., Science 2001

  6. Software in the science lifecycle From Reichman, Jones, and Schildhauer; doi:10.1126/science.1197962

  7. Software for the Earth, Life, and Environmental Sciences • Statistical analysis • e.g., R, SAS, Matlab, Systat, Excel, etc. • One-off models (by students, faculty, etc.) • Custom analytics (e.g., Primer, MetaWin, MaxEnt) • Modeling frameworks (e.g., ROMS) • Community models (e.g., Century, Community Climate Model) • Workflows (Kepler, VisTrails, …) • Computing engines (e.g., Sun Grid Engine, Amazon ECS) • Data management (DataONE, Metacat, DataUp) • Service computing (Blast, WMS, WFS, …)

  8. Software challenges • Wide range of software types • Code Complexity and Quality • Reproducibility • Systems integration • Development and maintenance are labor intensive • NSF not set up for infrastructure/maintenance • Software lifetime long compared to hardware • Under-appreciated value

  9. ISEES Vision • Massively accelerate science • (Earth, environmental, and life science) • Enable collaboration and integration across disciplines • Invent, develop, integrate, mature, and sustainsoftware • used throughout the scientific lifecycle

  10. ISEES Structure • Community driven initiative • Provide mechanisms to empower the community • Model after synthesis centers • Prioritize based on science drivers • Link to community initiatives such as ESIP • Enable a new generation of open, reproducible science

  11. ISEES Steering Committee • Matthew Jones (Cyberinfrastructure) • Lee Allison (Geology) • Daniel Ames (Hydrology) • Bruce Caron (Collaboration) • Scott Collins (Ecology) • Patricia Cruse (Library) • Peter Fox (CI & Semantics) • Stephanie Hampton (Ecology) • Chris Mattmann (JPL; Apache) • Carol Meyer (ESIP Community) • William Michener (DataONE) • James Regetz (Analytics) • Mark Schildhauer (Semantics)

  12. Strategic planning approach

  13. Science Drivers • Goal: Explore science drivers for ISEES • (some drivers, not *the* drivers) • Connect the science drivers to software needs • Envision role of a software institute in enabling science

  14. 9:00 am – The 2-day process Tuesday • Workflow (WF) diagram • Data needs • Analysis/viz. needs • Collaboration needs Defining the Analytical Workflow to Answer the Questions Workflow Software Needs Scientists’ Needs and Benefits Defining the Grand Challenge Questions Monday • List of software needs • WF-SW Commonalities • WF-SW Differences • Question • Problem statement/background • How answer benefits science • How answer benefits society • 3-6 references • What does ISEES look like? • Workforce needs • Community needs • Community benefits

  15. Introductions • Name • Affiliation • Area(a) of expertise and interest • Favorite vacation spot

  16. Questions? • http://isees.nceas.ucsb.edu/ • http://www.nceas.ucsb.edu/ecoinfo/

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