Citi and Innovations for Poverty Action support field experiments in Afghanistan

A field experiment with a large Afghan firm has received additional support from the Financial Capabilities Research Fund, through Citi and Innovations for Poverty Action

Predicting Poverty and Wealth from Mobile Phone Metadata

Research at the DataLab shows that an individual’s past history of phone use can be used to infer his or her socioeconomic status, and that the predicted attributes of millions of individuals can provide cost-effective policy instruments in poor and developing economies.

Social network analysis in Afghanistan

Joshua Blumenstock is studying the effect of unexpected shocks on network activity in Afghanistan with collaborators at Princeton, UW, UCLA, and UC Berkeley

Map of Science

Maps of Science

Maps of science reveal where ideas come from and where they are going.  

News and Updates

Nature News

Jevin West and colleagues' paper on gender differences in self citation was featured in Nature.

DataLab welcomes REU students

This summer the DataLab will host a number of undergraduate research assistants as part of the NSF Research Experiences for Undergraduates (REU) program. This program supports active research participation by undergraduate students in any of the areas of research funded by the National Science Foundation.

DataLab at IC2S2

DataLab members Nina Cesare and Li Zeng presented at the 2nd Annual International Conference on Computational Social Science in Evanston, IL. Additional Congratulations to Nina on winning the Best Poster Award!

MIT Technology Review

The project with Poshen Lee, Jevin West and Bill Howe was written up in MIT Technology Review as "The First Visual Search Engine for Scientific Diagrams."

Yea-Seul Kim, Francis Nguyen and Dr. Hullman Release Chrome Plugin

Yea-Seul Kim and Francis Nguyen created Atlas of Me, a Chrome plugin for generating personalized spatial analogies to help people understand distances and areas they encounter online. Download at and see the related research paper:

What we do

The DataLab is the nexus for research on Data Science and Analytics at the UW iSchool.  We study large-scale, heterogeneous human data in an effort to understand why individuals, consumers, and societies behave the way they do. Our goal is to use data for the social good, in an ethical manner that can inform policy and impact lives for the better. As the focal point for industry partnerships related to “big data” and business analytics, the DataLab also provides infrastructure and support for student training and engagement in projects that involve the analysis of large datasets.