1. Science of Science and Innovation Policy (SciSIP) Presentation to: SBE Advisory Committee By: Dr. Kaye Husbands Fealing National Science Foundation November 8, 2007

2. Dr. Marburger’s Priority Areas Comprehensive data collection, data taxonomy and stewardship New metrics, models, tools, and frameworks International partnerships that promote science and technology advancements

3. SciSIP Goals Development of an evidence-based platform for science policy Understanding: develop usable knowledge and theories Measurement: improve and expand science metrics, datasets and analytical models and tools Community development: cultivate a community of practice focusing on SciSIP across the academy, the public sector and industry

4. Community of Practice Interdisciplinary International Innovative Inclusive

5. Grand Challenges (1) 1. Full systems approach to mapping science, technology and innovation 2. Portfolio models of investment in science and technology 3. Behavioral and dynamic models of the relationship between scientific discovery and policy decisions 4. Mapping and cyber tools linking the evolving taxonomy of S&E to policy decision-making 5. Full accounting of intangible assets and international workforce flows, and their contributions to science and technology outcomes

6. Grand Challenges (2) 6. Real-time evaluative and decision-making tools for assessing public sector investments in fundamental science and technology on economic growth and social well-being 7. Measures of spillover effects between scientific discovery and technological innovation, particularly among universities, firms and government labs 8. Evaluative measures of disciplinary cultures on transformative work 9. Computational models of creativity 10. Evaluative approaches to measuring diversity and its impact on science and technology developments

7. SciSIP-Funded Investigator Initiated Research (1) Human capital development and the collaborative enterprise related to STI outcomes: Trandisciplinary research teams (NIH-CERN; biomedical; nano) Collaboration between academic and non-academic scientists (hydrology, soil and water science) Virtual social networks (Internet) Domain and culturally based evaluation tools (U.S., Mexico, Brazil) Returns to international knowledge flows: Benefits from international collaboration (bio-fuels) Contributions of foreign graduate students and postdocs to knowledge creation and diffusion Creativity and innovation: Cognitive models of scientific discovery and innovation Tools for innovative design based on core cognitive processes

8. SciSIP-Funded Investigator Initiated Research (2) Knowledge production system: Gap analysis of the Idea Innovation Network (normal v. high risk; small v. large science) Complexity systems modeling of technological evolution (low-carbon energy technologies) Mapping tool of science for correlating funding with research outputs International database of inter-organizational collaborative agreements (OECD) Science policy implications: Theoretical framework for assessing science and technology policies and social welfare outcomes (OECD) Evaluative tools for assessing the distributional consequences of policy initiatives (intellectual property rights; life sciences) State science and innovation policy initiatives evaluation tools Public-values-based model of science and innovation policies

9. Broader Impacts Simulation models of the knowledge creation and transfer system Organizational designs and social networks that incubate, enrich and accelerate innovation Tools for policymakers to optimize funding potential Database of international research and technology partnerships, with indicators Video database on tools and artifacts in innovative design Performance evaluations tools enabled by cyberinfrastructure Frontier methods of program evaluation Theoretical foundations of the knowledge creation and innovation system and linkages to economic growth and social well-being

10. Lessons Learned from Solicitation I Proposals from a variety of fields and varied methodologies performed well in the competition. Multidisciplinary studies performed well if all of the necessary areas of expertise were well represented by engaged researchers. Requests for small grants to do pilot studies were underutilized. Research studies outperformed infrastructural development. Research agenda should focus on Grand Challenges— development, organization and mobilization of productive resources in the creation and diffusion of new knowledge. Data development and community building are two important emphasis areas to be added next competition.

11. SciSIP Milestones Near term: SciSIP Solicitation II Add new methods, models and tools specifically informing the data- collection process Add data development including new surveys, datasets, indicators, and benchmarks Stakeholder forum—academics, policymakers, industry tech managers Collaboratories—virtual organizations Medium term: New S&E indicators Domain-specific models Summer institute Longer term: An evidence-based understanding of the impacts of the S&E enterprise A capacity to better nourish and harness the capabilities of the national STEM workforce The development of a Community of Practice

12. Thank you! Comments and questions invited. For more information please contact: Dr. Kaye Husbands Fealing khusband@nsf.gov