Size matters: word count as a measure of quality on wikipedia. - Joshua Evan Blumenstock (WWW, 2008)

Who's Calling? Demographics of Mobile Phone Use in Rwanda. - Joshua Evan Blumenstock; Dan Gillick; Nathan Eagle (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Mobile divides: gender, socioeconomic status, and mobile phone use in Rwanda. - Joshua Blumenstock; Nathan Eagle (ICTD, 2010)

Using mobile phone data to measure the ties between nations. - Joshua Evan Blumenstock (iConference, 2011)

Research overview for doctoral colloquium. - Joshua Evan Blumenstock (iConference, 2011)

Differences in phone use between men and women: quantitative evidence from Rwanda. - Anita Mehrotra; Ashley Nguyen; Joshua Evan Blumenstock; Viraj Mohan (ICTD, 2012)

Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda. - Joshua E. Blumenstock (Inf. Technol. Dev., 2012)

Social and spatial ethnic segregation: a framework for analyzing segregation with large-scale spatial network data. - Joshua Evan Blumenstock; Lauren Fratamico (ACM DEV (4), 2013)

Towards operationalizing outlier detection in community health programs. - Ted McCarthy; Brian DeRenzi; Joshua Evan Blumenstock; Emma Brunskill (ICTD (2), 2013)

Expanding Rural Cellular Networks with Virtual Coverage. - Kurtis Heimerl; Kashif Ali; Joshua Evan Blumenstock; Brian Gawalt; Eric A. Brewer (NSDI, 2013)

Probabilistic Inference of Unknown Locations: Exploiting Collective Behavior when Individual Data is Scarce. - Joshua Evan Blumenstock; Ramkumar Chokkalingam; Vijay Gaikwad; Sashwat Kondepudi (ACM DEV, 2014)

Computational challenges in the analysis of large, sparse, spatiotemporal data. - Ian Kelley; Joshua Evan Blumenstock (DICT@HPDC, 2014)

Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty. - Muhammad Raza Khan; Joshua Manoj; Anikate Singh; Joshua Blumenstock (BigData Congress, 2015)

The Price is Right?: Statistical evaluation of a crowd-sourced market information system in Liberia. - Joshua Evan Blumenstock; Niall Keleher (ACM DEV, 2015)

Promises and pitfalls of mobile money in Afghanistan: evidence from a randomized control trial. - Joshua Evan Blumenstock; Michael Callen; Tarek Ghani; Lucas Koepke (ICTD, 2015)

Observing gender dynamics and disparities with mobile phone metadata. - Philip J. Reed; Muhammad Raza Khan; Joshua Blumenstock (ICTD, 2016)

Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries. - Muhammad Raza Khan; Joshua E. Blumenstock (KDD, 2016)

Predicting Student Dropout in Higher Education. - Lovenoor S. Aulck; Nishant Velagapudi; Joshua Blumenstock; Jevin West (CoRR, 2016)

Machine Learning Across Cultures: Modeling the Adoption of Financial Services for the Poor. - Muhammad Raza Khan; Joshua Evan Blumenstock (CoRR, 2016)

Understanding the Impact of Urban Infrastructure: New Insights from Population-Scale Data. - Joshua Blumenstock; Danaja Maldeniya; Sriganesh Lokanathan (ICTD, 2017)

Can Human Development be Measured with Satellite Imagery? - Andrew Head; Mélanie Manguin; Nhat Tran; Joshua E. Blumenstock (ICTD, 2017)

An Investigation of Phone Upgrades in Remote Community Cellular Networks. - Kushal Shah; Philip A. Martinez; Emre Tepedelenlioglu; Shaddi Hasan; Cedric Festin; Joshua Blumenstock; Josephine Dionisio; Kurtis Heimerl (ICTD, 2017)

eKichabi: Information Access through Basic Mobile Phones in Rural Tanzania. - Galen Weld; Trevor Perrier; Jenny Aker; Joshua E. Blumenstock; Brian Dillon; Adalbertus Kamanzi; Editha Kokushubira; Jennifer Webster; Richard J. Anderson 001 (CHI, 2018)

Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. - Muhammad Raza Khan; Joshua E. Blumenstock (AAAI, 2019)

Who Ties the World Together? Evidence from a Large Online Social Network. - Guanghua Chi; Bogdan State; Joshua E. Blumenstock; Lada A. Adamic (COMPLEX NETWORKS (2), 2019)

Mining University Registrar Records to Predict First-Year Undergraduate Attrition. - Lovenoor S. Aulck; Dev Nambi; Nishant Velagapudi; Joshua Blumenstock; Jevin West (EDM, 2019)

The Illusion of Change: Correcting for Biases in Change Inference for Sparse, Societal-Scale Data. - Gabriel Cadamuro; Ramya Korlakai Vinayak; Joshua Blumenstock; Sham M. Kakade; Jacob N. Shapiro (WWW, 2019)

Targeting Development Aid with Machine Learning and Mobile Phone Data. - Emily L. Aiken; Guadalupe Bedoya; Aidan Coville; Joshua E. Blumenstock (COMPASS, 2020)

Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. - Esther Rolf; Max Simchowitz; Sarah Dean; Lydia T. Liu; Daniel Björkegren; Moritz Hardt; Joshua Blumenstock (ICML, 2020)

Connecting Isolated Communities: Quantitative Evidence on the Adoption of Community Cellular Networks in the Philippines. - Niall Keleher; Mary Claire Barela; Joshua Blumenstock; Cedric Festin; Matthew Podolsky; Erin Troland; Arman Rezaee; Kurtis Heimerl (ICTD, 2020)

Manipulation-Proof Machine Learning. - Daniel Björkegren; Joshua E. Blumenstock; Samsun Knight (CoRR, 2020)

Micro-Estimates of Wealth for all Low- and Middle-Income Countries. - Guanghua Chi; Han Fang; Sourav Chatterjee; Joshua E. Blumenstock (CoRR, 2021)

Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. - Emily L. Aiken; Viraj Thakur; Joshua Blumenstock (COMPASS, 2022)

Note: Home Location Detection from Mobile Phone Data: Evidence from Togo. - Rachel B. Warren; Emily L. Aiken; Joshua Blumenstock (COMPASS, 2022)

(Machine) Learning What Policies Value. - Daniel Björkegren; Joshua E. Blumenstock; Samsun Knight (CoRR, 2022)

Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan. - Emily L. Aiken; Guadalupe Bedoya; Joshua Blumenstock; Aidan Coville (CoRR, 2022)

Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? - Satej Soman; Emily L. Aiken; Esther Rolf; Joshua Blumenstock (CoRR, 2022)

Machine learning and phone data can improve targeting of humanitarian aid. - Emily L. Aiken; Suzanne Bellue; Dean S. Karlan; Chris Udry; Joshua E. Blumenstock (Nat., 2022)

Moving targets: When does a poverty prediction model need to be updated? - Emily L. Aiken; Tim Ohlenburg; Joshua Blumenstock (COMPASS, 2023)

Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy. - Emily L. Aiken; Esther Rolf; Joshua Blumenstock (IJCAI, 2023)

Privacy Guarantees for Personal Mobility Data in Humanitarian Response. - Nitin Kohli; Emily L. Aiken; Joshua Blumenstock (CoRR, 2023)

Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda. - Joshua E. Blumenstock; Nitin Kohli (CoRR, 2023)

Enabling Humanitarian Applications with Targeted Differential Privacy. - Nitin Kohli; Joshua Blumenstock (CoRR, 2024)

Expanding Perspectives on Data Privacy: Insights from Rural Togo. - Zoe Kahn; Meyebinesso Farida Carelle Pere; Emily L. Aiken; Nitin Kohli; Joshua E. Blumenstock (Proc. ACM Hum. Comput. Interact., 2025)

Satellite and Mobile Phone Data Reveal How Violence Affects Seasonal Migration in Afghanistan. - Xiao Hui Tai; Suraj R. Nair; Shikhar Mehra; Joshua E. Blumenstock (CoRR, 2025)