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ORCIDJoshua Evan Blumenstock
Person information
- affiliation: University of California, Berkeley, CA, USA
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2020 – today
- 2024
[i15]Nitin Kohli, Joshua Blumenstock:
Enabling Humanitarian Applications with Targeted Differential Privacy. CoRR abs/2408.13424 (2024)- 2023
- [c31]Emily L. Aiken, Tim Ohlenburg, Joshua Blumenstock:
Moving targets: When does a poverty prediction model need to be updated? COMPASS 2023: 117 - [c30]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: 5888-5896 - [i14]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 abs/2305.01783 (2023) - [i13]Nitin Kohli, Emily L. Aiken, Joshua Blumenstock:
Privacy Guarantees for Personal Mobility Data in Humanitarian Response. CoRR abs/2306.09471 (2023) - [i12]Joshua E. Blumenstock, Nitin Kohli:
Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda. CoRR abs/2310.04970 (2023) - 2022
- [j2]Emily L. Aiken, Suzanne Bellue, Dean S. Karlan, Chris Udry, Joshua E. Blumenstock
:
Machine learning and phone data can improve targeting of humanitarian aid. Nat. 603(7903): 864-870 (2022) - [c29]Emily L. Aiken, Viraj Thakur, Joshua Blumenstock:
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. COMPASS 2022: 214-231 - [c28]Rachel B. Warren, Emily L. Aiken, Joshua Blumenstock:
Note: Home Location Detection from Mobile Phone Data: Evidence from Togo. COMPASS 2022: 685-692 - [i11]Daniel Björkegren, Joshua E. Blumenstock, Samsun Knight:
(Machine) Learning What Policies Value. CoRR abs/2206.00727 (2022) - [i10]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 abs/2206.11400 (2022) - [i9]Satej Soman, Emily L. Aiken, Esther Rolf, Joshua Blumenstock:
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? CoRR abs/2211.08735 (2022) - 2021
- [i8]Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock:
Micro-Estimates of Wealth for all Low- and Middle-Income Countries. CoRR abs/2104.07761 (2021) - [i7]Emily L. Aiken, Viraj Thakur, Joshua E. Blumenstock:
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. CoRR abs/2111.00175 (2021) - 2020
- [c27]Emily L. Aiken, Guadalupe Bedoya, Aidan Coville, Joshua E. Blumenstock:
Targeting Development Aid with Machine Learning and Mobile Phone Data. COMPASS 2020: 310-311 - [c26]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: 8158-8168 - [c25]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: 17:1-17:16 - [i6]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 abs/2003.06740 (2020) - [i5]Daniel Björkegren, Joshua E. Blumenstock, Samsun Knight:
Manipulation-Proof Machine Learning. CoRR abs/2004.03865 (2020)
2010 – 2019
- 2019
- [c24]Muhammad Raza Khan, Joshua E. Blumenstock:
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. AAAI 2019: 606-613 - [c23]Guanghua Chi, Bogdan State, Joshua E. Blumenstock, Lada A. Adamic:
Who Ties the World Together? Evidence from a Large Online Social Network. COMPLEX NETWORKS (2) 2019: 451-465 - [c22]Lovenoor S. Aulck, Dev Nambi, Nishant Velagapudi, Joshua Blumenstock, Jevin West:
Mining University Registrar Records to Predict First-Year Undergraduate Attrition. EDM 2019 - [c21]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: 2608-2615 - [i4]Muhammad Raza Khan, Joshua E. Blumenstock:
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. CoRR abs/1901.11213 (2019) - 2018
- [c20]Galen Weld, Trevor Perrier, Jenny Aker, Joshua E. Blumenstock, Brian Dillon, Adalbertus Kamanzi, Editha Kokushubira, Jennifer Webster, Richard J. Anderson:
eKichabi: Information Access through Basic Mobile Phones in Rural Tanzania. CHI 2018: 133 - 2017
- [c19]Joshua Blumenstock, Danaja Maldeniya, Sriganesh Lokanathan:
Understanding the Impact of Urban Infrastructure: New Insights from Population-Scale Data. ICTD 2017: 4:1-4:12 - [c18]Kushal Shah, Philip A. 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: 6:1-6:12 - [c17]Andrew Head, Mélanie Manguin, Nhat Tran, Joshua E. Blumenstock:
Can Human Development be Measured with Satellite Imagery? ICTD 2017: 8:1-8:11 - 2016
- [c16]Philip J. Reed, Muhammad Raza Khan, Joshua Blumenstock:
Observing gender dynamics and disparities with mobile phone metadata. ICTD 2016: 48 - [c15]Muhammad Raza Khan, Joshua E. Blumenstock:
Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries. KDD 2016: 145-154 - [i3]Muhammad Raza Khan, Joshua Evan Blumenstock:
Machine Learning Across Cultures: Modeling the Adoption of Financial Services for the Poor. CoRR abs/1606.05105 (2016) - [i2]Lovenoor S. Aulck, Nishant Velagapudi, Joshua Blumenstock, Jevin West:
Predicting Student Dropout in Higher Education. CoRR abs/1606.06364 (2016) - 2015
- [c14]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: 677-680 - [c13]Joshua Evan Blumenstock, Niall Keleher:
The Price is Right?: Statistical evaluation of a crowd-sourced market information system in Liberia. ACM DEV 2015: 117-125 - [c12]Joshua Evan Blumenstock, Michael Callen, Tarek Ghani, Lucas Koepke:
Promises and pitfalls of mobile money in Afghanistan: evidence from a randomized control trial. ICTD 2015: 15:1-15:10 - [i1]Muhammad Raza Khan, Joshua Manoj, Anikate Singh, Joshua Evan Blumenstock:
Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty. CoRR abs/1512.06430 (2015) - 2014
- [c11]Joshua Evan Blumenstock, Ramkumar Chokkalingam, Vijay Gaikwad, Sashwat Kondepudi:
Probabilistic Inference of Unknown Locations: Exploiting Collective Behavior when Individual Data is Scarce. ACM DEV 2014: 103-112 - [c10]Ian Kelley, Joshua Evan Blumenstock:
Computational challenges in the analysis of large, sparse, spatiotemporal data. DICT@HPDC 2014: 41-46 - 2013
- [c9]Joshua Evan Blumenstock, Lauren Fratamico:
Social and spatial ethnic segregation: a framework for analyzing segregation with large-scale spatial network data. ACM DEV (4) 2013: 11:1-11:10 - [c8]Ted McCarthy, Brian DeRenzi, Joshua Evan Blumenstock, Emma Brunskill:
Towards operationalizing outlier detection in community health programs. ICTD (2) 2013: 88-91 - [c7]Kurtis Heimerl, Kashif Ali, Joshua Evan Blumenstock, Brian Gawalt, Eric A. Brewer:
Expanding Rural Cellular Networks with Virtual Coverage. NSDI 2013: 283-296 - 2012
- [j1]Joshua E. Blumenstock:
Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda. Inf. Technol. Dev. 18(2): 107-125 (2012) - [c6]Anita Mehrotra, Ashley Nguyen, Joshua Evan Blumenstock, Viraj Mohan:
Differences in phone use between men and women: quantitative evidence from Rwanda. ICTD 2012: 297-306 - 2011
- [c5]Joshua Evan Blumenstock:
Using mobile phone data to measure the ties between nations. iConference 2011: 195-202 - [c4]Joshua Evan Blumenstock:
Research overview for doctoral colloquium. iConference 2011: 831-832 - 2010
- [c3]Joshua Evan Blumenstock, Dan Gillick, Nathan Eagle:
Who's Calling? Demographics of Mobile Phone Use in Rwanda. AAAI Spring Symposium: Artificial Intelligence for Development 2010 - [c2]Joshua Blumenstock, Nathan Eagle:
Mobile divides: gender, socioeconomic status, and mobile phone use in Rwanda. ICTD 2010: 6:1-6:10
2000 – 2009
- 2008
- [c1]Joshua Evan Blumenstock:
Size matters: word count as a measure of quality on wikipedia. WWW 2008: 1095-1096
Coauthor Index
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