NYU's Coleridge Initiative hosted the 2019 Rich Context Competition

On February 15, 2019, New York University’s Coleridge Initiative hosted the 2019 Rich Context Competition, inviting computer scientists and machine learning researchers around the world to find better ways of automating the discovery of research datasets, fields, and methods behind social science research publications.

Twenty teams from eight countries submitted letters of intent, and four finalist teams—Allen Institute for Artificial Intelligence, GESIS, KAIST, Paderborn University—were invited to present their results at the workshop held at NYU Wagner in New York City. The winner of this year’s competition was the team from the Allen Institute for Artificial Intelligence, and honorable mention went to KAIST, which was presented by Haritz Puerto San Roman and Giwon Hong.

The goal of this competition was to automate the discovery of research datasets and the associated research methods and fields in social science research publications. Participants used combinations of machine learning and data analysis methods to identify the datasets used in a corpus of social science publications and infer both the scientific methods and fields used in the analysis and the research fields.

Sponsors of this event included Schmidt Futures, the Eric and Wendy Schmidt Fund for Strategic Innovation, Overdeck Family Foundation, and the Alfred P. Sloan Foundation.  

This event was produced in partnership with SAGE Publications and Digital Science.