Program
March 22-24,
Stanford University
Monday,
March 22 9:00 AM
– 5:30 PM: Symposia sessions
9:00 – 9:15 AM: Welcome & Symposium Overview by Nathan
and Eric
9:15 – 10:00 AM: Keynote: Opportunities for Machine Learning in Development
John Quinn, Makerere University, Uganda
10:00 – 10:30AM: 1-Minute Introductions I (slide optional)
10:30 – 11:00 AM: Coffee Break
11:00 – 11:30 PM: 1-Minute Introductions II
11:30 – 12:30 PM: Presentations: Insights about People and
Behavior
Moderator: John Quinn
11:30 – 11:45 AM: Human Mobility in Advanced and
Developing Economies: A Comparative
Alberto Rubio, Vanessa Frias-Martinez, Enrique
Frias-Martinez, and Nuria Oliver
11:45 – 12:00 PM: Reality Mining Africa
Shawndra Hill, Anita Banser, Getachew Berhan, and Nathan
Eagle
12:00 – 12:15 PM: A Gender-centric Analysis of Calling
Behavior in a Developing Economy
Vanessa Frias-Martinez, Enrique Frias-Martinez, and Nuria
Oliver
12:15 – 12:30 PM: Parameterizing the Dynamics of Slums
Amy P. Wesolowski and Nathan Eagle
12:30 – 2:00 PM: Lunch
2:00 – 2:45 PM: Keynote: Development as Design
Tapan Parikh, UC Berkeley
2:45 – 3:30 PM: Presentations: AI-D for Health, Education,
and Welfare
Moderator: Ashish Kapoor
2:45 – 3:00 PM: Learning a Causal Structure for Quality of
Schooling
Noel McGinn and Massoud Moussavi
3:00 – 3:15 PM: Intelligent Heartsound Diagnostics on a
Cellphone using a Hands-free Kit
T. Chen, K. Kuan, L. Celi, and G. D. Clifford
3:15 – 3:30 PM: Networks, Complexity and Economic
Development
César A. Hidalgo and Ricardo Hausmann
3:30 – 4:00 PM: Coffee Break
4:00 – 4:45 PM: Presentations: Infrastructure & Agriculture
Moderator: Shawndra Hill
4:00 – 4:15 PM: People, Quakes, and Communications:
Inferences from Call Dynamics about a Seismic Event and its Influences on a
Population
Ashish Kapoor, Nathan Eagle, and Eric Horvitz
4:15 – 4:30 PM: Causal Structure Learning for Famine
Prediction
Ernest Mwebaze, Washington Okori, and John A. Quinn
4:30 – 4:45 PM: Quantifying Behavioral Data Sets of
Criminal Activity
Jameson Toole, Nathan Eagle, and Joshua Plotkin
4:45 – 5:45 PM: Panel I: Grand Challenges in AI for Development Chair: Nathan Eagle Panelists:
Kentaro Toyama, Eric Horvitz, Ravi Jain, Shawndra Hill, Tapan Parikh
6:00 PM – 7:00 PM: Reception
Tuesday,
March 23
9:00 AM
– 5:30 PM: Symposia sessions
9:00 – 9:45 AM: Keynote: Behind Google Flu Trends
Rajan Patel, Stanford University
9:45 – 10:30 AM: Presentations: AI-D and Healthcare
Moderator: Eric Horvitz
9:45 – 9:50 AM: Case for Automated Detection of Diabetic
Retinopathy
Nathan Silberman, Kristy Ahlrich, Rob Fergus, and Lakshminarayanan
Subramanian
9:50 – 9:55 AM: Routing for Rural Health: Optimizing
Community Health Worker Visit Schedules
Emma Brunskill Neal Lesh
9:55 – 10:00 AM: Learning to Identify Locally Actionable
Health Anomalies
Kuang Chen, Emma Brunskill, Jonathan Dick, and Prabhjot
Dhadialla
10:05 – 10:10 AM: Machine Learning Methods for Verbal
Autopsy in Developing Countries
Sean T. Green and Abraham D. Flaxman
10:10 – 10:25 AM: An Agile and Accessible Adaptation of
Bayesian Inference to Medical Diagnostics for Rural Health Extension Workers
Joel Robertson and Del DeHart
10:30 – 11:00 AM: Coffee Break
11:00 – 12:30 PM: Panel II: Learning, Causation, and Effective Action
Chair: Eric Horvitz
Panelists:
Ashish Kapoor, Emma Brunskill, John Quinn, Ernest Mwebaze, Massoud Moussavi
12:30 – 2:00 PM: Lunch (and poster set up)
2:00 – 3:30 PM: Poster Session
3:30 – 4:00 PM: Coffee Break
4:00 – 4:30 PM: Presentations: Infrastructure and Agriculture II
Moderator: Nathan Eagle
4:00 – 4:05 PM: An Approach for Mining Accumulated Crop
Cultivation Problems and their Solutions
Samhaa
R. El-Beltagy, Ahmed Rafeaγ, Said
Mabrouk, and Mahmoud Rafea
4:05 – 4:10 PM: Human-enabled Microscopic Environmental
Mobile Sensing and Feedback
Prabal Dutta and Lakshminarayanan Subramanian
4:10 – 4:15 PM: Mining Road Traffic Accident Data to Improve
Road Safety: The Role of Road-related Factors on Accident Severity in Ethiopia
Tibebe Beshah and Shawndra Hill
4:15 – 4:20 PM: Using Data Mining to Combat Infrastructure
Inefficiencies: The Case of
Predicting Non-payment for Ethiopian Telecom
Mariye Yigzaw, Shawndra Hill, Anita Banser, and Lemma
Lessa
4:20 – 4:25 PM: Who’s Calling? Demographics of Mobile
Phone Use in Rwanda
Joshua E. Blumenstock, Dan Gillick, and Nathan Eagle
4:30 – 5:15 PM: Presentations: Information Access
Moderator: Kentaro Toyama
4:30 – 4:35 PM: Speech Technology for Information Access:
a South African Case Study
Etienne Barnard, Marelie Davel, and Gerhard van Huyssteen
4:35 – 4:40 PM: Social Navigation through the Spoken Web:
Improving Audio Access through Collaborative Filtering in Gujrat, India
Robert Farrell, Rajarshi Das, and Nitendra Rajput
4:40 – 4:45 PM: Document Classification for Focused Topics
Russell Power, Jay Chen, Trishank Karthik, and Lakshminarayanan
Subramanian
4:45 – 4:50 PM: Contextual Information Portals
Jay Chen, Trishank Karthik Kuppusamy, and Lakshminaryanan
Subramanian
4:50 – 4:55 PM: Development Projects for the Causality
Workbench
Isabelle Guyon
4:55 – 5:00 PM: A Step Towards Destabilizing Human Trafficking Network Using Machine Learning Methods
Shreya Amin
6:00 PM – 7:00 PM: Plenary joint Spring Symposium session
Wednesday, March 24
9:00 AM – 12:30 PM: Symposia sessions
9:00 – 9:45 AM: Keynote: Myths, Asks, and Opportunities in AI-D
Kentaro Toyama, UC Berkeley
9:45 – 10:30 AM: Break-outs (continuing
through coffee break)
10:30 – 11:00 AM: Coffee Break
11:00 – 11:30 PM: Break-outs (continued)
11:30 – 12:15 PM: Break-out Reports
12:15 – 12:30 PM: Wrap-up