Building a Sustainable, Locally-driven, National Data Infrastructure
March 3-5, 2021 - Virtual
Join leaders from across the country, representing state and federal governments, as well as philanthropic foundations and professional associations, for a dynamic two-day workshop celebrating success and mapping a strategy to grow data access, stewardship, and analysis for evidence-based policymaking.
Outcomes from Transitions in Education and Work
Monday, September 24, 2018, 9:00 AM - 3:15 pm (CT) - Chicago, IL
There is enormous interest in building a better understanding of how people transition across different educational and work experiences to sustainable jobs. Transitions of people as they age can be nonlinear and include transitions within and across secondary and post secondary institutions, as well as the use of government services such as disability services, criminal justice interventions, or workforce development. Individuals can also move across political jurisdictions such as state or county lines, making it incredibly difficult to understand the regular patterns in service utilization. The sheer variation on types of transitions individuals can make and the geographical movement across borders opens up opportunities for governments to intervene in more productive ways. The data sharing across states and agencies also provides increasing possibilities for more efficient and effective utilization of government services among vulnerable populations.
Midwest Collaborative: Data for Evidence-Based Policy
March 5 - 6, 2020, 9:00 am - 5:00 pm - Columbus, OH
The Midwest is characterized by a vast network of regional economic activity, as well as a mobile and dynamic workforce. The challenge for policy makers is that while state data systems end at state borders, economic and social activity does not, making it difficult to evaluate the impact of state interventions in many areas, but most clearly in understanding the transitions across education and work.
Rich Context Competition
February 15, 2020, 8:30 am - 3:30 pm - Virtual
Presentations from the finalists for the Coleridge Initiative’s Rich Context The competition challenged computer scientists to find ways of automating the discovery of research datasets, fields and methods used in social science research publications. The teams are representatives from GESIS, KAIST, Paderborn University, and the Allen Institute for Artificial Intelligence.
Rich Context Competition
November 15 - 16, 2019 - Washington D.C.
The focus of the Rich Context workshop is to build a scientific basis for the empirical foundations of data science in government. Empirical research relies critically on knowing how data has been produced and used before: the required elements include what does the data measure, what research has been done by which researchers, with what code, and with what results. The interest of funders in supporting data science, combined with the recent passage of the Evidence-Based Policymaking Act and the launch of the federal data strategy, make this an opportune time for such a workshop.