The Rich Context Project

The Rich Context project, part of the Coleridge Initiative at New York University, aims to create a new platform that enables empirical analysts to search for and discover datasets.

The challenge that empirical researchers face is that, for a given dataset, it is difficult to find out who has worked with the data before, what methods and code were used, and what results were produced. However, we now have the scientific capacity to build a platform that will automate search and discovery.

Karam Abdulahhad is a postdoctoral researcher at GESIS – Leibniz Institute for the Social Sciences in Germany. He is engaged in the ExploreData project to build an advanced search engine for social science data. He has a PhD degree in computer sciences from Grenoble-Alpes University in France, where he tackled the problem of term mismatch. He proposed a new information retrieval (IR) model by adapting an idea from physics. His research interests include IR theory, logical/conceptual/semantic IR, machine learning, and text mining.