No. 1: Artificial Intelligence for Development

All Papers

• An Agile and Accessible Adaptation of Bayesian Inference to Medical Diagnostics for Rural Health Extension Workers

  Joel Robertson, Del J. DeHart

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• Voice as Data: Learning from What People Say

  Tapan S. Parikh

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• Inferring Macroeconomic Complexity from Country-Product Network Data

  Cesar A Hidalgo, Ricardo Hausmann

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• Machine Learning Methods for Verbal Autopsy in Developing Countries

  Sean T. Green, Abraham D. Flaxman

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• Social Navigation through the Spoken Web: Improving Audio Access through Collaborative Filtering in Gujarat, India

  Robert Farrell, Rajarshi Das, Nitendra Rajput

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• Human-Enabled Microscopic Environmental Mobile Sensing and Feedback

  Prabal Dutta, Lakshminarayanan Subramanian

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• Learning to Identify Locally Actionable Health Anomalies

  Kuang Chen, Emma Brunskill, Jonathan Dick, Prabhjot Dhadialla

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• Routing for Rural Health: Optimizing Community Health Worker Visit Schedules

  Emma Brunskill, Neal Lesh

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• Who’s Calling? Demographics of Mobile Phone Use in Rwanda

  Joshua Evan Blumenstock, Dan Gillick, Nathan Eagle

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• Using Data Mining to Combat Infrastructure Inefficiencies: The Case of Predicting Nonpayment for Ethiopian Telecom

  Mariye Yigzaw, Shawndra Hill, Anita Banser, Lemma Lessa

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• Parameterizing the Dynamics of Slums

  Amy Wesolowski, Nathan Eagle

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• Remembering the Past for Meaningful AI-D

  Julie Sage Weber, Kentaro Toyama

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• Human Mobility in Advanced and Developing Economies: A Comparative Analysis

  Alberto Rubio, Vanessa Frias-Martinez, Enrique Frias-Martinez, Nuria Oliver

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• Quantifying Behavioral Data Sets of Criminal Activity

  Jameson L. Toole, Nathan Eagle, Joshua B. Plotkin

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• Case for Automated Detection of Diabetic Retinopathy

  Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian

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• Preface

  Nathan Eagle, Eric Horvitz

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• Traffic Flow Monitoring in Crowded Cities

  John Alexander Quinn, Rose Nakibuule

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• Document Classification for Focused Topics

  Russell Power, Jay Chen, Trishank Karthik, Lakshminarayanan Subramanian

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• Causal Structure Learning for Famine Prediction

  Ernest Mwebaze, Washington Okori, John Alexander Quinn

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• A Model for Quality of Schooling

  Massoud Moussavi, Noel McGinn

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• People, Quakes, and Communications: Inferences from Call Dynamics about a Seismic Event and its Influences on a Population

  Ashish Kapoor, Nathan Eagle, Eric Horvitz

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• Reality Mining Africa

  Shawndra Hill, Anita Banser, Getachew Berhan, Nathan Eagle

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• Development Projects for the CausalityWorkbench

  Isabelle Guyon, Jean-Philippe Pellet, Alexander Statnikov

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• A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records

  Vanessa Frias-Martinez, Enrique Frias-Martinez, Nuria Oliver

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• An Approach for Mining Accumulated Crop Cultivation Problems and their Solutions

  Samhaa R. El-Beltagy, Ahmed Rafea, Said Mabrouk, Mahmoud Rafea

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• Intelligent Heartsound Diagnostics on a Cellphone Using a Hands-Free Kit

  Tiffany Chen, Katherine Kuan, Leo A. G. Celi, Gari D. Clifford

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• Contextual Information Portals

  Jay Chen Chen, Trishank Karthik, Lakshminarayanan Subramanian

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• Mining Road Traffic Accident Data to Improve Safety: Role of Road-Related Factors on Accident Severity in Ethiopia

  Tibebe Beshah, Shawndra Hill

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• Speech Technology for Information Access: a South African Case Study

  Etienne Barnard, Marelie H. Davel, Gerhard B. Van Huyssteen

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• A Step Towards Modeling and Destabilizing Human Trafficking Networks Using Machine Learning Methods

  Shreya Amin

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