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

19
Aug
Spiro to present at ASA

Dr. Spiro will present at the Annual Meeting of the American Sociological Association next week. She will talk about joint work with Dr. Zack Almquist at the Rationality and Society Section, Session on Rationality and Social Structure. This year's ASA will be held in Seattle!

01
Aug
Washington Post

Jevin West and his colleagues from Stanford and NYU work on self-citation was featured in the Washington Post

05
Jul
Nature News

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

29
Jun
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.

28
Jun
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!

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.