Building policy based on evidence and science is at the center of new legislation and presidential executive orders to restore trust in government. But how can agencies demonstrate the impact of their data? The rich context project – which has been called a gamechanger by a former US chief statistician – uses AI and Machine Learning to find What data are being used, by whom and for what purpose? We have shown how to do this in two machine learning competitions , a workshop and a book. Our goal is to develop an open source platform for dataset discovery from research publications, the development of a catalog of datasets produced with agency funding, and a scorecard for those data that shows the relative value of the dataset based on reuse.
The approach is to apply machine-learning and natural language processing techniques that searches publications to
- Find what datasets are in the publications
- Show how they’ve been used
- Find other experts who have used the data
- Identify other related datasets
- Show how the data have been used
Follow our Kaggle competition here.
Unemployment to Reemployment Portal
States in the Midwest Collaborative are working across state borders to create real-time labor market information that is critical for local pandemic response. This interactive tool draws in the latest de-identified UI claims data, processed through the secure ADRF environment. Through visualizations, state staff can:
- Easily identify which local labor markets and categories of workers are being hardest hit
- Estimate the economic impacts of job loss
- Describe the demographic, education, industry, and occupational characteristics of UI claimants
Learn more by viewing a presentation that demonstrates the uses of the Unemployment to Reemployment Portal, with the Labor Market Information Director for the State of Illinois, Dr. George Putnam, and the Assistant Director of Research and Analysis for the State of Indiana, Diana Barrett.
Multi-State Post-Secondary Dashboard
The dashboard will empower states to better understand the employment outcomes of individuals who participated in their State’s education programs. The information presented in the dashboard will inform state decision-making in education and workforce policy by providing employment outcome measures from multiple states’ workforce data.
The two primary goals of the prototype dashboard are to demonstrate the value of: (1) combining administrative data from multiple states as introduced above, and (2) standardized data models in reproducing analyses across state lines. A presentation showcasing the Multi-State Post-Secondary Dashboard, with Dr. Jessica Cunningham, Executive Director for the Kentucky Center for Statistics, Dr. Josh Hawley, Director of the Ohio Education Research Center, and Dr. Sean Simone, Director of Research and Evaluation at the Rutgers’ Heldrick Center for Workforce Development, provides additional information.