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Developing a Regional Approach to Data Sharing in Silicon Valley

This initiative focuses on continuous improvement and community engagement in the development of a regional approach to data sharing in Silicon Valley. It aims to bridge the gap in education and workforce readiness by analyzing teaching and learning data, and promoting equity and social justice through collective impact and shared measurement.

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Developing a Regional Approach to Data Sharing in Silicon Valley

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  1. Developing a Regional Approach to Data Sharing in Silicon Valley

  2. My Background A Focus on Continuous Improvement & Community Engagement • Director of National Data Strategies for the National Laboratory for Education Transformation (NLET) • San Jose USD Continuous Improvement Programs • Associate of Education for the Future Initiative at Cal State Chico

  3. NSF Planning Grant Awarded to NLET and UC Santa Cruz “Building Community Capacity for Data-Intensive Research in Education”

  4. NSF Grant Counties • Population 2,843,591 • 23% Under 18 • 6% Under 5 • 9% Below Poverty • 47% Speak language other than English at home • 39% Free/Reduced meals students • 22% are enrolled as ELs in K12 schools • 50% gap between Asian and African-American/Hispanic groups who meet UC/CSU requirements • Only 35% of Hispanic youth score Prof/Adv in ELA on the state test compared to 75% of White students.

  5. Why a Regional Approach? Regions are the scale where we compete globally • When a region’s approach to labor, education, innovation, finance, housing & quality of life are strong, local industry thrives • Maintaining a successful region requires coordination of major systems and resources that cut across jurisdictional boundaries

  6. "We needed to start thinking about the city as an enterprise from the technology perspective because then you start dealing with problems holistically and you stop having these excuses as to why you can't do things.” – Bruce Goldstein Chief Data Officer Chicago Department of Innovation & Technology

  7. Why Silicon Valley? • Reflects the discontinuity between new systems used by consumers, commerce, and government and those used in the education and social services sectors • High-tech and bio-tech firms in the Valley explain that they cannot rely on growing their workforce locally, regionally or even in the U.S

  8. And MOST Importantly… • The future success of Silicon Valley’s knowledge-based economy depends on younger generations being prepared for and having access to higher education and regional, economy-relevant training.

  9. Building the 30 Meter Telescope for Education • Determine the causal vectors that shape academic performance, particularly for underserved students. • Very dynamic field comprised of many complex dynamic systems • Need better tools to analyze the breadth and depth of teaching & learning, & the efficacy of interventions, including out-of-school factors

  10. A Multi-System Approach • Connects Researchers and Decision-Makers for more informed outcomes • Informs regional efforts to increase school achievement and workforce readiness through cross-agency collaboration and data sharing • Creates collective impact and shared measurement

  11. Two Scenarios… • How can these data be used to serve the interest of historically underserved communities? • How can these data be used to undermine the interest of historically underserved communities?

  12. Key Question What structures can we put into place to ensure that these data are used to ensure equity and social justice?

  13. Challenges Technical issues are solvable, but governance and access issues are real, including: • Cultural, legal and regulatory issues that prevent data-sharing • Ethical issues, especially privacy and security of student data

  14. Challenges • New technical infrastructures will be required to integrate and manage the large quantities of data from multiple sectors • Advanced analytic approaches developed in fields outside of education research must be applied

  15. Collective Impact Approach • Common Agenda • Shared Measurement • Mutually Reinforcing Activities • Continuous Communication • NLET/UCSC as Backbone Support Organization

  16. Building the Social Infrastructure • Leverage existing social capital in the region • Leverage the transformation underway in the research community • Build incentives for work-in-common across diverse stakeholders

  17. Building the Social Infrastructure • Build on emergent, local efforts to “connect the dots” for students • Leverage the Valley’s innovation culture • Engage students and families in the process

  18. Building the Technology Infrastructure • UCSC Baskin School of Engineering • Expertise from Valley companies and Industry Thought Leaders

  19. Project Timeline • October-November • Meet individually with key, influential stakeholders to determine best approach • December-May • Meet with constituency groups for input on their needs and concerns • June-July • Convene National Ethics & Privacy Conference

  20. Hopes & Aspirations • Build the collective will of the Valley to support every child • Move from planning to implementation with NSF support

  21. Thank you! Marcy Lauck marcy.lauck@nlet.org

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