I develop methods for digital data, focused on developing societies.
My work has been featured by NPR, the World Bank, and the World Economic Forum.

Assistant Professor of Economics, Brown University

Curriculum Vitae
dan[@]bjorkegren[.]com     Office Hours    

Network Industries
with Burak Ceyhun Karaca
Journal of Development Economics (2022)

with Chiara Farronato
Harvard Business Review (2021), website
Machine Learning
with Joshua Blumenstock and Samsun Knight
[ Video (30m) | Blog post on focus groups: How do you say algorithm in Kiswahili? ]
Causal Inference from Hypothetical Evaluations
with B. Douglas Bernheim, Jeffrey Naecker, and Michael Pollmann
[ R package | Uses some data from the resting paper Non-Choice Evaluations Predict Behavioral Responses to Changes in Economic Conditions with B. Douglas Bernheim, Jeffrey Naecker, and Antonio Rangel ]
(Machine) Learning what Policymakers Value
with Samsun Knight and Joshua Blumenstock
with Esther Rolf, Max Simchowitz, Sarah Dean, Lydia Liu, Moritz Hardt, and Joshua Blumenstock
International Conference on Machine Learning (ICML) (2020)
[ Workshop paper presented at NeurIPS Joint Workshop on AI for Social Good (2019). Best Paper Award ]
Digital Credit
with Darrell Grissen
World Bank Economic Review (2020)
Media coverage (2015): NPR Morning Edition, The World Bank (syndicated to World Economic Forum), New Scientist, Radio New Zealand
Original proposal: Big Data for Development (posted 2010)
with Darrell Grissen
American Economic Association Papers and Proceedings (2018)
Welfare Impacts of Digital Credit: A Randomized Evaluation in Nigeria
with Joshua Blumenstock, Omowunmi Folajimi-Senjobi, Jacqueline Mauro, and Suraj Nair
Nonparametric Causal Estimators for Multivariate Missing Data: An Application to Estimate Treatment Effects from Digital Trace Data
with Joshua Blumenstock and Jacqueline Mauro
Big Data for Development
with Sveta Milusheva and Leonardo Viotti
ACM Conference on Computing and Sustainable Societies (COMPASS) (2021)
Blog post: Can we trust smartphone mobility estimates in low-income countries? (World Bank)
International Conference on Information and Communication Technologies and Development (ICTD) (2020)
In Progress
Welfare-Sensitive Machine Learning
with Joshua Blumenstock
Efficiency of Informal Transit Networks: Evidence from Lagos
with Alice Duhaut, Geetika Nagpal, and Nick Tsivanidis
Other Papers