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Cv Bjorkegren.Pdf E-mail: [email protected] Web: http://dan.bjorkegren.com Address: Department of Economics Box B Daniel Björkegren Brown University Providence, RI, 02912 Academic Employment 2014- Assistant Professor of Economics, Brown University 2019-2020 Visiting Researcher, Microsoft Research New England 2017-2018 W. Glenn Campbell and Rita Ricardo-Campbell National Fellow, Stanford University Education 2014 Ph.D. Economics Harvard University Advisors: Michael Kremer, Greg Lewis, and Ariel Pakes 2011 M.A. Economics Stanford University 2009 M. Public Policy Harvard Kennedy School 2005 B.S. Physics University of Washington Research Publications The Adoption of Network Goods: Evidence from the Spread of Mobile Phones in Rwanda. Review of Economic Studies, 2019. Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment. (with Darrell Grissen) World Bank Economic Review, 2020. The Potential of Digital Credit to Bank the Poor. (with Darrell Grissen) American Economic Association Papers and Proceedings, 2018. Conference/Workshop Articles (Peer Reviewed) Assessing Bias in Smartphone Mobility Estimates in Low Income Countries. Sveta Milusheva, Daniel Björkegren, and Leonardo Viotti. ACM Conference on Computing and Sustainable Societies (COMPASS), 2021. Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare- Aware Machine Learning. Esther Rolf, Max Simchowitz, Sarah Dean, Lydia Liu, Daniel Björkegren, Moritz Hardt, and Joshua Blumenstock. International Conference on Machine Learning (ICML), 2020. Workshop: Balancing Competing Objectives for Welfare-Aware Machine Learning with Imperfect Data. Esther Rolf, Max Simchowitz, Sarah Dean, Lydia Liu, Daniel Björkegren, Moritz Hardt, and Joshua Blumenstock. Neural Information Processing Systems (NeurIPS) Joint Workshop on AI for Social Good, 2019. Best Paper Award Measuring Informal Work with Digital Traces: Mobile Payphone Operators in Rwanda. Daniel Björkegren. International Conference on Information and Communication Technologies and Development (ICTD), 2020. Notes Track Working Papers Competition in Network Industries: Evidence from the Rwandan Mobile Phone Network Manipulation Proof Machine Learning (with Joshua Blumenstock and Samsun Knight) Causal Inference from Hypothetical Evaluations (with B. Douglas Bernheim, Jeffrey Naecker, and Michael Pollmann) (Machine) Learning what Policymakers Value (with Samsun Knight and Joshua Blumenstock). Presented at Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning for the Developing World, 2019; Mechanism Design for Social Good, 2020; Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning for Economic Policy, 2020. Network Adoption Subsidies: Evidence from Mobile Phones in Rwanda (with Burak Ceyhun Karaca) Welfare Impacts of Digital Credit: Evidence from Nigeria (with Joshua Blumenstock, Jacqueline Mauro, and Suraj Nair) Nonparametric Causal Estimators for Multivariate Missing Data: An Application to Estimate Treatment Effects from Digital Trace Data (with Jacqueline Mauro and Joshua Blumenstock) Nostalgic Demand Research in Progress Welfare Credit Scoring (with Joshua Blumenstock) Planning (De)Centralized Transportation Networks (with Alice Duhaut, Geetika Nagpal, and Nick Tsivanidis) The Value and Spread of Information: Evidence from the Network of Mobile Phones in Rwanda Presentations (including scheduled) 2021 AEA Annual Meeting Private Sector Development Research Brown University Data Science ‘Fair Network: Firm Data Workshop February’ (Keynote) MIT (Applied Micro) NBER Industrial Organization UC Riverside NBER Digitization PhD Tutorial World Bank: World Development Report NBER Digitization (Discussant) Data Infrastructure (Panelist) UC Santa Barbara ZEW ICT Conference 2020 AEA Annual Meeting ETH Zürich World Bank Microsoft Research NYC Colloquium Princeton University (IO) Penn State (Development) Bill and Melinda Gates Foundation NBER Artificial Intelligence (Discussant) EconTwitter Econ/Finance Conference NeurIPS Machine Learning for Economic Microsoft Research New England Policy (Panelist) Colloquium University of Oxford (Econometrics) Canceled/Postponed due to COVID-19: BREAD preconference Chinese University of Hong Kong BREAD Hong Kong Baptist University Berlin Center for Consumer Policies: ‘The Northeastern University Future of AI for Policymaking’ 2019 NBER Industrial Organization Joint Statistical Meetings (JSM) RAND Corporation Yale University International Industrial Organization NBER Artificial Intelligence Conference Imperial College Business School Boston College (Finance/Economics) NSF Network Science in Economics MIT Conference on Digital Experimentation Microsoft Research New England (CODE) Federal Trade Commission (FTC) Tufts University Workshop on Firms in Emerging Economies Harvard Computer Science (EconCS) (Jinan University, China) World Bank Infra4Dev (Toulouse) 2018 AEA Annual Meeting PacDev University of Washington NBER Digitization (Winter) Stanford University NBER Digitization (Summer poster) UC Berkeley NBER Development preconference Artificial Intelligence for Economic NBER Development Development (CEGA/World Bank) World Bank ABCA Federal Communications Commission (FCC) 2017 Dartmouth Winter IO Conference NetMob J-PAL Policy Conference Dominican UC San Diego Republic Berkeley-Stanford IO Fest Penn State Conference on Data Driven University College London Development in Africa 2016 AEA Annual Meeting NBER Digitization Microsoft Research Economics Conference World Bank ABCDE 2015 Georgetown Stockholm School of Economics University of Houston Stockholm University NEUDC Summer Institute in Competitive Strategy NBER Development (UC Berkeley) NBER Industrial Organization UC Davis (ARE) NetMob Yale University 2014 Boston University Northwestern (Kellogg MEDS) Brown University Stanford GSB Michigan State University University of Cambridge (INET) 2013 NEUDC 2012 Nagoya University Conference on Risk, Food and Trade Honors 2013-2014 Oppenheimer Graduate Fellowship Fund Harvard University 2011-2013 Graduate Fellowship Harvard Economics 2010 George Shultz Fellowship Stanford Institute for Economic Policy Research 2009 Graduate Fellowship Stanford Economics 2003 Jerre Noe Scholarship University of Washington Computer Science 2002 Freshman Medal University of Washington Teaching 2014- Big Data (Undergraduate) Brown University Applied Research Methods (Undergraduate) Brown University Development Economics (Ph.D.) Brown University 2005-2007 High School Math and Science (Teach for America) Weslaco, Texas Professional Activities Affiliations Bureau for Research and Economic Analysis of Development (BREAD) Brown University Population Studies and Training Center Brown University Data Science Initiative Stanford Golub Capital Social Impact Lab Reviewer American Economic Review, Demography, Development Engineering, Harvard University Press, Journal of Development Economics, Journal of Labor Economics, Journal of Political Economy, Journal of Public Economics, Marketing Science, National Science Foundation, Nature Human Behavior, Quarterly Journal of Economics, RAND Journal of Economics, Review of Economics and Statistics, Science, Theoretical Economics, USAID, World Development, and others Conference 2021 ACM COMPASS Track Chair: Development, Economics, and Policy 2021 ACM EC Economics and Computation Program Committee 2017 ACM CSCW Computer-Supported Cooperative Work Reviewer 2016 ACM DEV Computing for Development Program Committee Grants 2021 Innovations for Poverty Action, “Welfare Scoring for Digital Credit,” $144,711 (with Joshua Blumenstock) Brown Seed Funding, “Informal Transit in Emerging Cities”, $50,000 2020 International Growth Centre, “Informal Transit Networks,” £107,279 (with Nick Tsivanidis and Alice Duhaut) World Bank, “Informal Transit Networks,” $161,103 (with Nick Tsivanidis and Alice Duhaut) NBER Social Learning Initiative, $30,972 2019 Bill and Melinda Gates Foundation, “Impact Credit Scoring for Women’s Empowerment,” $49,892 (with Joshua Blumenstock) Amazon.com, “Welfare Sensitive Machine Learning”, $20,000 compute credits (with Joshua Blumenstock and Moritz Hardt) 2018 Bill and Melinda Gates Foundation, “Digital Credit Scoring”, $420,000 (with Joshua Blumenstock) Brown Seed Funding, “Making Decisions with Manipulated Data”, $49,954 2017 NET Institute, “Competition in Network Industries”, $3,000 2015 Unorthodox Philanthropy: “Precision Agriculture for Development”, $1,193,500 (with Michael Kremer, Shawn Cole, and Heiner Baumann) Anonymous Donor: “Precision Agriculture for Development”, $2,241,100 (with Michael Kremer, Shawn Cole, and Heiner Baumann) 2010 Stanford Institute for Economic Policy Research, George Shultz Fellowship: “Big Data for Development”, $3,000 Other Employment 2016-2020 Precision Agriculture for Development Co-founder and Board Member 2008-2009 Abdul Latif Jameel Poverty Action Lab (J-PAL) Consultant 2000-2001 Microsoft Mobile Device Division High School Intern Coded the photo app for Microsoft’s first smartphone. Language English (native), Swedish (fluent) PhD Students with initial placement 2020 Sagar Wadhwa, Amazon 2018 Will Violette, Federal Trade Commission 2017 Margarita Gafaro Gonzalez, Banco de la Republica Colombia Sveta Milusheva, World Bank Research Group Aurora Ramirez Alvarez, Colegio de México 2016 Morgan Hardy, NYU Abu Dhabi .
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