Theme: Cross-Sector Collaboration in Data Science
Big data and data science methods are increasingly being tapped to benefit society through projects that involve partners from government, academia, business, and civil society. In this session of the Data Science Studies Working Group, we’ll explore the dynamics of such data-intensive, cross-sector collaborations
We’ve assembled a guest panel of individuals from all four sectors with experience collaborating on data-intensive efforts to improve urban mobility and transportation:
Nick Bolten, Co-Lead, OpenSidewalks, University of Washington
Candace Faber, Civic Technology Advocate, City of Seattle
Mark Hallenbeck, Director, Washington State Transportation Center, University of Washington
Janice Hellman, Performance Analyst, Washington State Department of Transportation
Clifford Snow, Volunteer Contributor, OpenStreetMap
Graham Thompson, Seattle Civic Tech Manager, Microsoft
Matthew Weidner, Systems Analyst for Demand-Responsive Transportation, King County Metro
Some of the projects they’ll be discussing include building trip planning tools for people with limited mobility, analyzing fine-grained transit user data, and developing a platform for transportation agencies to securely share their data.
The interactive discussion will broadly address the following questions:
- Why is collaboration across sectors on data-intensive projects important?
- What are some of the technical, social, economic, and political challenges to working across sectors on data-intensive projects?
- How do you build successful collaborations across sectors on data-intensive projects?
- What vision of the city are these data-intensive cross-sector collaborations working toward?