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

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

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.

Map of Science

Maps of Science

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

News and Updates

25
Jan
Brain Magazine

Dr. West and Dr. Bergstrom's proposed seminar on BS was recently featured in Brain Magazine.

25
Jan
Chronicle of Higher Education

Dr. West and Dr. Bergstrom's proposed seminar on BS was recently featured in The Chronicle of Higher Education.

25
Jan
Fast Company Co.Design

Dr. West and Dr. Bergstrom's proposed seminar on BS was recently featured in Fast Company Co.Design.

25
Jan
KOMO News

Dr. West and Dr. Bergstrom's proposed seminar on BS was recently featured on KOMO News.

25
Jan
Seattle PI

Dr. West and Dr. Bergstrom's proposed seminar on BS was recently featured in the Seattle PI.

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.