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Future Prospects of Cyberinfrastructure for Social, Behavioral, and Economic Sciences

Myron Gutmann from the National Science Foundation discusses the current state and future prospects of cyberinfrastructure for the Social, Behavioral, and Economic (SBE) sciences. The focus is on data provision, primarily through surveys and censuses, highlighting the challenges in data integration, privacy protection, and the need for real-time observational networks. The presentation emphasizes the importance of international cooperation and the development of open-source technologies to enhance data sharing while addressing scientific and policy challenges. Initial steps and collaborative efforts are underway to establish a robust SBE research data infrastructure.

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Future Prospects of Cyberinfrastructure for Social, Behavioral, and Economic Sciences

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Presentation Transcript

  1. Cyberinfrastructure for the SBE Sciences – Prospects for the Future Myron Gutmann Assistant Director, National Science Foundation Directorate for the Social, Behavioral & Economic Sciences

  2. The State of Play • Cyberinfrastructure for SBE is currently mostly about data provision • Emphasis is on surveys & censuses, plus some geospatial data • Large number of data collections available, but most aren’t very large datasets • Recent research: analysis of large social networks (cellphones, etc.), but few data are shared & infrastructure not developed

  3. Existing Areas of Cooperation: A Long History • International consortia of data producers & users have existed for nearly 50 years: ICPSR & CESSDA • Investments in improving shared access to data since 2000 by EC, NSF, & Library of Congress • Social Science metadata standard: DDI • Some progress on common authentication (although still work to do).

  4. Scientific Challenges • Administrative vs. Research Data • Merging disparate data sources (especially to serve environment & society questions) • Protecting Confidentiality & Privacy • Multilingual data • Metadata processing • Increasing sizes of data sets • Policy Challenge: data sharing policies

  5. Frameworks for Cooperation • Data sharing policies (including data sharing policies for administrative data) • Enhanced approaches to authentication • Protection of confidential data through creation of virtual data enclaves • Development of shared open-source technologies for preservation, delivery, & analysis of data

  6. Big Ideas I: Social Media Data • Social Media data are (relatively) large, born-digital and born-international • Example: Twitter Archive at Library of Congress • Research potential in social and behavioral science, computer science, law & society • Continually evolving resource • How should we build these data out as common research infrastructures?

  7. Big Ideas II: Integrated Social-Behavioral Observation Network • Question 1: What SBE data will be the successors to traditional surveys? • Question 2: What data do we need to parallel environmental observation networks? • Proposed answer: real-time observation networks of SBE data • Challenge: what form should this take and how should we develop them?

  8. A Decadal Perspective • Building a common SBE-focused research data infrastructure for the 21st century takes time • International cooperation is essential but time- and resource-consuming • Need to start now to identify good ideas and start with planning & pilots • SBE 2020 Activity underway now • New SBE Infrastructure workshop at NSF – December 16-17, 2010

  9. Thank you! mgutmann@nsf.gov

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