Joshua Blumenstock

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 18

Top Topics

Prediction Model

Machine Learning

Top Venues

Publications

Emily L. Aiken, Esther Rolf, Joshua Blumenstock
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy. CoRR (2023)
Emily L. Aiken, Esther Rolf, Joshua Blumenstock
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy. IJCAI (2023)
Emily L. Aiken, Tim Ohlenburg, Joshua Blumenstock
Moving targets: When does a poverty prediction model need to be updated? COMPASS (2023)
Nitin Kohli, Emily L. Aiken, Joshua Blumenstock
Privacy Guarantees for Personal Mobility Data in Humanitarian Response. CoRR (2023)
Satej Soman, Emily L. Aiken, Esther Rolf, Joshua Blumenstock
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? CoRR (2022)
Rachel Warren, Emily L. Aiken, Joshua Blumenstock
Note: Home Location Detection from Mobile Phone Data: Evidence from Togo. COMPASS (2022)
Emily L. Aiken, Guadalupe Bedoya, Joshua Blumenstock, Aidan Coville
Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan. CoRR (2022)
Emily L. Aiken, Viraj Thakur, Joshua Blumenstock
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. COMPASS (2022)
Niall Keleher, Mary Claire Barela, Joshua Blumenstock, Cedric Festin, Matthew Podolsky, Erin Troland, Arman Rezaee, Kurtis Heimerl
Connecting Isolated Communities: Quantitative Evidence on the Adoption of Community Cellular Networks in the Philippines. ICTD (2020)
Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. ICML (2020)
Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. CoRR (2020)
Lovenoor S. Aulck, Dev Nambi, Nishant Velagapudi, Joshua Blumenstock, Jevin West
Mining University Registrar Records to Predict First-Year Undergraduate Attrition. EDM (2019)
Gabriel Cadamuro, Ramya Korlakai Vinayak, Joshua Blumenstock, Sham M. Kakade, Jacob Shapiro
The Illusion of Change: Correcting for Biases in Change Inference for Sparse, Societal-Scale Data. WWW (2019)
Kushal Shah, Philip Martinez, Emre Tepedelenlioglu, Shaddi Hasan, Cedric Festin, Joshua Blumenstock, Josephine Dionisio, Kurtis Heimerl
An Investigation of Phone Upgrades in Remote Community Cellular Networks. ICTD (2017)
Joshua Blumenstock, Danaja Maldeniya, Sriganesh Lokanathan
Understanding the Impact of Urban Infrastructure: New Insights from Population-Scale Data. ICTD (2017)
Philip J. Reed, Muhammad Raza Khan, Joshua Blumenstock
Observing gender dynamics and disparities with mobile phone metadata. ICTD (2016)
Lovenoor S. Aulck, Nishant Velagapudi, Joshua Blumenstock, Jevin West
Predicting Student Dropout in Higher Education. CoRR (2016)
Muhammad Raza Khan, Joshua Manoj, Anikate Singh, Joshua Blumenstock
Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty. BigData Congress (2015)
Joshua Blumenstock, Nathan Eagle
Mobile divides: gender, socioeconomic status, and mobile phone use in Rwanda. ICTD (2010)