Institute for Sustainable Earth and Environmental Software ISEES Matthew B. Jones National Center for Ecological Analysis and Synthesis (NCEAS) University.

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Presentation transcript:

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 Role of synthesis in advancing science Merger of synthesis with experimental and observational science

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

Pace of Shifting Climate in Marine and Terrestrial Ecosystems Burrows et al Science 334: “ 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... ”

Synthesis over time Jackson et al., Science 2001

Software in the science lifecycle From Reichman, Jones, and Schildhauer; doi: /science

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, …)

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

ISEES Vision Massively accelerate science – (Earth, environmental, and life science) – Enable collaboration and integration across disciplines – Invent, develop, integrate, mature, and sustain software used throughout the scientific lifecycle

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

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)

Strategic planning approach

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

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

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

Questions?

Challenge Statement: Earth and environmental scientists face critical society-relevant research questions that increasingly demand interoperability of robust data- and analysis-relevant software components that together span many spatial scales, temporal scales, and science domains. However, absent a collective vision and support infrastructure, most existing scientific software tools are the product of ad hoc, parochial, short-term development efforts, defeating our ability to leverage the full power of modern computing capabilities.

Software lifecycle model

Working Groups and Activities Science Cluster (March 2013) – Collins and Michener – Collates and articulates grand challenges within earth observational sciences that focus and drive ISEES’ software activities and define exemplary collaborative science activities supporting detailed requirements analysis.

Working Groups and Activities ESIP Town Hall (July 2013) – Communicates results to the broader community and solicit feedback used to inform the final Strategic Plan.

Working Groups and Activities Software Cluster (August 2013) – Mattman, Fox, Schildhauer, Jones – Analyzes requirements for scientific software and proposes approaches for ISEES to address these via improvements across the full software lifecycle.

Working Groups and Activities Sustainability & Adoption Cluster (September 2013) – Meyer, Caron, Ames, Hampton, Cruse, Allison – Examines sustainability and governance challenges, and proposes models for engaging the research community, governing ISEES, and developing an effective workforce that can sustain the portfolio of science software curated through ISEES.