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

Assistant Professor of Economics, Brown University

Curriculum Vitae
dan[@]bjorkegren[.]com   Office: Robinson Hall 303D   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
Revised and resubmitted, Econometrica Video (30m) | How do you say algorithm in Kiswahili?
with B. Douglas Bernheim, Jeffrey Naecker, and Michael Pollmann
(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) Original Proposal (posted 2010)
Media (2015): NPR Morning Edition, The World Bank (syndicated to World Economic Forum), New Scientist, Radio New Zealand
with Darrell Grissen
American Economic Association Papers and Proceedings (2018)
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
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