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

14
Nov
Dr. West and Portenoy publish new book chapter

Dr. West and Jason Portenoy have a new book chapter in the recently published, Big Data Is Not a Monolith, from MIT Press. Their chapter is called, "The Data Gold Rush in Higher Education".

14
Nov
DataLab at SocInfo'16

Dr Spiro, along with DataLab PhD students Nina Cesare and Li Zeng, will be at the 2016 Social Informatics Conference this week. Cesare and Zeng will both be presenting new research. 

14
Nov
Dr. Spiro published in PLOS ONE
11
Nov
Walker contributes to Cultural Digitally

DataLab PhD student Shawn Walker wrote about the need for more transparency and access for political data in Culture Digitally to articulate what the election reveals about his own inquiry, and what our agenda as scholars in the world needs to be for the next four years.

10
Oct
Walker speaks at GESIS

DataLab PhD student gave an invited talk entitled 'Examining the Authenticity and Reliability of Social Media Datasets' at GESIS Leibniz Institute for the Social Sciences in Köln, Germany.

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.