Day 3 Agenda 1.Brief review of where we are 2.Break out reports on recommendations, then distillation incl. identifying any major gaps 3.Proposed outline for report 4.Breakouts: add’l discussion/writing focusing on recommendations (but on other issues as needed) 5.Recap and conclusions

ARCSS Synthesis Workshop: New Perspectives through Data Discovery and Modeling 2-4 April 2007, Bell Harbor Center, Seattle WA GOAL: Bring together data provider & data user communities to identify innovative approaches on data management and assimilation, recent developments in technology, and modeling that will advance arctic system synthesis and understanding You are here?

Tuesday Discussions AM: What ideal framework / data / modeling system could we build as a community w/o constraint? The What PM: What gaps, challenges, obstacles prevent us from attaining the vision now?…..what new research investments should be made? The How

Products IT Toolbox, Flux Couplers Process Study, Monitoring Data Simulation Modules “ARCTIC SYSTEM FRAMEWORK” Science Outputs Policy, public info demands

Will we have identified major commonalities, cross- cutting issues, and general data and modeling- related topics? –Of a scientific nature ( e.g. use of intercomparison exercises, ESM fingerprinting, innovative statistical techniques ) –Of a technical nature ( e.g. metadata standards, using open source map serving, exploiting peta-scale computing ) –Of an outreach nature ( e.g. expressing complex data to lay public and policymakers ) –Of an administrative nature ( e.g. peer-review in age of inter- disciplinary science, virtual collaboratories vs bricks & mortar facilities ) Day 2/3 Breakout Sessions Will we have established the basis for a prioritized set of recommendations?

Proposed Outline for Report Anticipate a 30-page Prospectus Text strategic in tone, drawn from this and numerous earlier events Professional look w/ suitable graphics, nice cover Executive Summary 1.Introduction 2.Motivation to think in new ways re data/modeling for synthesis, improved understanding, education, policy support major gaps/challenges/research needs links to ARCSS synthesis capitalizing on new developments in CI/IT, models, obs. 3.Framework and supporting material Examples of topics that could benefit from such a frame (i.e. single/dual/multi-d “pillars”) 4.Specific recommendations

Still substantial work ahead…. Findings from earlier events plus this workshop distilled, and incorporated w/ additional text by OC as a draft document (early-June) Document to be reviewed by WS participants and community at large (mid-June) Comments incorporated into final report text (early-July) Publication & submission to NSF (August/Sept)

Key Recommendations Collaborative platform for science support Use platform to transform scientific credibility of data (i.e. citable, trackable) [more of a motivation?]…rec could be to use the framework to transform the publishing and citation system (w/ science publishing consortia) [ work w/ NASA DAACs] Collaborative platform for education: partner with Digital Library movement

Key Recommendations Create incentives for data submission (not a rec, but key point)…use platform to motivate or promote a culture to submit to an e-journal that values the scholarship of data…use platform to accumulate “critical mass” to mobilize the contribution of data sets A face-to-face collaboratory---funding mechanisms for short visits, WSs, etc. Small grants (e.g. data buys, travel to Russia) New data sets for scaling (plots to aerial, to rs) including new techologies..rec=design activity to co-develop monitoring networks and promote improved technology Rapid preliminary analysis (visualization) These recs keep repeating themselves

Key Recommendations –A Collaboratory –Data Issues, Standards, policies, etc. –Public outreach nature ( e.g. expressing complex data to lay public ) –Of an educational nature (e.g. new e-curriculum materials for system science from grade school to on to mid-career) –Of a policy-relevant nature (e.g. a policy challenge) –Of an administrative nature ( e.g. peer-review in age of inter-disciplinary science, virtual collaboratories vs bricks & mortar facilities )