Venue: Summit West, 500 W Madison St, Chicago, IL 60661

Made Possible By

We will start the morning of September 28 (9am) with a reception at the end of the day (ending at 7:30pm). We will continue on the morning of September 29 (9am), ending by 5pm.

The program consists of talks, poster session, training workshops, panel discussions, and discussion groups. The agenda below is still being finalized.


Day 1

September 28
Summit West, 500 W Madison Ave
 Room ARoom BRoom C
9:15Keynote: Narendra Mulani (Chief Analytics Officer, Accenture Analytics)
9:45Lightning Talks: Social Challenges in Need of Data

Data Science and the Future of Food: Using Technology to Feed the Planet - John Monaghan (Innovation Center for U.S. Dairy)

Leveraging Data Science for the National Network’s Intimate Partner Violence Intervention - Kyle Ott & Rachel Teicher (National Network for Safe Communities)

Improving Care Along the HIV Care Continuum - Jessica Ridgway (UChicago)
Coffee Break
10:30Data Science for Social Good Fellowship: Project Talks

Intelligent Match-making between Patients and Family Doctors - Manas Gaur (DSSG Europe)

Identifying Rooftop Usage in Rotterdam - Carlos Gonçalves (DSSG Europe)

Developing a Fishing Risk Framework from Satellites and Ocean Data - William Grimes (DSSG Europe)

Predicting Risk of Long-term Unemployment - Helga Holmestad (DSSG Europe)

Data-Driven Planning for Sustainable Tourism in Tuscany - Cristina Lozano (DSSG Europe)

Improving Traffic Incident Response in the Netherlands - Victor Vicente (DSSG Europe)

Coupling Data Science with Participatory Planning for Equity in Urban Renewal Programs: An Analysis of Atlanta's Anti-Displacement Tax Fund - Jeremy Auerbach (DSSG Atlanta)

Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program - Dorris Scott (DSSG Atlanta)
Short Talks: Private Sector and Data Science for Social Good Efforts

Using Data to Make Government Services Intuitive and Engaging - Erek Dyskant (BlueLabs)

A Case Study of Mobility and Dengue in Pakistan - Kenth Engø-Monsen (Telenor)

Going the Distance: Big Data on Resident Access to Everyday Goods - Lindsay Relihan (JP Morgan Chase)
11:15Data Science for Social Good Fellowship: Project Talks

Can Traffic Sensor Data Detect Vehicle Cruising? - Brett Bejcek and Orysya Stus (DSSG Seattle)

Visualizing Equity: A Data Science for Social Good Tool and Model for Seattle - Rachel Berney (DSSG Seattle)

Improving Urban Mobility Through Urban Analytics Using Electronic Smart Card Data - Mayuree Binjolkar (DSSG Seattle)

Applications of Data Science to Livelihood Sustainability in Africa: A Case Study - Matthew Cooper (DSSG Seattle)

Semantic Searching for Efficient Assessment of Sustainable Development in National Plans - Jonathan Galsurkar (DSSG IBM)

Demystifying Social Entrepreneurship : An NLP Based Approach to Finding a Social Good Fellow - Aditya Garg (DSSG IBM)

Cognitive Disease Hunter: Developing Automated Pathogen Feature Extraction from Scientific Literature - Timothy NeCamp (DSSG IBM)

Data for Social Good: A Case Study of Building an Effective Public-Private Partnership on Domestic Violence Prevention - T.C. Hsieh (DSSG Taiwan)
Panel Discussion: Role of the Private Sector in Data Science for Social Good Efforts

Lisa Green (Domino)
James Guszcza (Deloitte)
Sacha Litman (McKinsey)
Michael Moliterno (Datascope Analytics)
Narendra Mulani (Accenture)
Lunch (Provided) & Topic-Specific Discussion Tables
1:15Training Workshops Round 1
We will have 7 training workshops taking place in parallel. Some topics will repeat
to allow more attendees to participate.
- Better Together: Integrating Data Science and Human Centered Design - Peter Bull (DrivenData)
- Scoping Data Science for Social Good Projects
- Data Science for Social Good Problem Templates
- SQL for Data Analysis
- Machine Learning 101
2:15Training Workshops Round 2
- Scoping Data Science for Social Good Projects
- Preparing to do a Data Science Project (Legal Agreements, Technical Requirements, Data Acquisition)
- SQL for Data Analysis
- Data Visualization using Python - Alex Engler (UChicago)
- Understanding and Interpreting Machine Learning Models and Predictions
- Matching Across Data Sources
Coffee Break
3:45Breakout Session: Data Science and Behavior Change

Addressing Recidivism: Intervening to Reduce Technical Violations and Improve Outcomes for Ex-Offenders -
Danielle Fulmer (City of South Bend)

Predicting and Preventing Recidivism of Mothers in the Illinois Criminal Justice System - Him Mistry (NYU)

Utilizing Machine Learning to Predict Recidivism, a Path Forward for the Criminal Justice System - Epaphrodite Uwimana (US Census Bureau)

James Guszcza (Deloitte)
Panel Discussion: Life After Hackathons
Burt Lum (Hawaii Open Data)
Adi Abili
Derek Eder
Ian Henshaw

Closing - Break and Walk to Reception
Reception (Food and drinks will be served)
Venue 610, 610 S Michigan Ave

Day 2

September 29
Summit West, 500 W Madison Ave
 Room A Room BRoom C
9:15Plenary Panel: Learnings from Running DSSG Fellowship Programs Across the World
10:00Lightning Talks: Deploying Data Science for Social Good Systems
Sam Edelstein (City of Syracuse)
Tom Schenk (City of Chicago)
Coffee Break
10:30Short Talks: Case Studies

Driving Action with Machine Learning - Nasir Bhanpuri (Virta Health)

Operationalizing Data Science in Municipal Government - Sam Edelstein (Syracuse)

Kelly Kreft (Civis Analytics)
Short Talks: Collaboration Models for
Doing Data Science for Social good

Crowdsourcing Data Science for Social Good - Kirk Borne (Booz Allen Hamilton)

Lessons Learned from Using Data Science to Empower Change Agents Across Data
- Chia-Kai Liu (DSP, Inc.)

Cross-sector Collaboration in Data Science for Social Good: Opportunities, Challenges, and Open Questions Raised by Working
with Academic Researchers
- Anissa Tanweer (University of Washington)
Short Talks: Data Collection and Data Sharing

Burgh's Eye View: Mapping Tools for Operations - Robert Burack (Harvard Ash Center)

The Role of Data Science in Pursuit of Long-Term Relationship Between Respondents and Social Researchers - Kamil Wais (Notre Dame)

Sharing Securely within Government: Best Practices for Facilitating Interagency
Data Science
- Kevin Wilson (The Lab @ DC)
11:15Short Talks: Case Studies

Intelligent Pothole Detection - Umang Bhatt (CMU)

Can Machine Learning Create an Advocate for Foster Youth?
- Meredith Brindley (Think of Us)

Understanding Blight Ticket Compliance in Detroit - Alexandria Cell (UMichigan)

Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit - Jared Webb (UMichigan)
Short Talks: Collaboration Models for
Doing Data Science for Social good
Panel Discussion: Linking Programmatic Data to Student Academic Data to Improve Youth Outcomes

Jennifer Axelrod, University of Chicago Chapin Hall

Mackenzie Magnus (Thrive Chicago)
Vikki Rompala (Metropolitan Family Services)
Daniel Yao (Chicago Public Schools, Thrive Chicago)
Lunch (Provided) & Poster Session
1:15Short Talks: Case Studies

Analyzing Criminal Justice Reform: the Case of Utah - Daniel Hadley (SLC)

Racial Bias in Policing: An Analysis of Illinois Traffic Stops Data - Chris Kucharczyk and Mollie Pettit (Datascope Analytics)

Using Predictive Analytics to Improve Program Retention: A Case Study in the Criminal Justice Sector - Kristin Porter (MDRC)
Short Talks: Data Science Education

Data Science and Policy Graduate Programs. Alex Engler (UChicago)
Training Government Professionals in Data Analytics for Policymaking Avishek Kumar (UChicago)
Data Science Bootcamps. (Metis)
Data Science for Social Good Curriculum. Jane Zanzig (UChicago)
Short Talks: Research Challenges in doing Data Science for Social Good

Evaluating Risk Assessment: Finding a Methodology that Supports your Agenda - Peter Baumgartner (RTI)

Challenges in Measuring Child Maltreatment Prevention: Two Examples from Texas - Patrick Tennant (University of Texas at Austin)

Decision Support for Policymaking: Causal Inference Algorithm and Case Study -
Bhanukiran Vinzamuri (IBM)
2:00Panel Discussion: Use of Data to Improve Criminal Justice
Panel Discussion: Role of Chief Data Officers in Policymaking
Santi Garces (South Bend)
Tom Schenk (City of Chicago)
Leah Tivoli (Seattle)
Panel Discussion: Ethics, Fairness, and Bias
Coffee Break
3:15Discussion Groups
Small (~20 people), facilitated discussion sessions around a topic facing the data science
for social good community. We will have 7 concurrent discussion groups in different rooms,
after which the facilitators will reconvene and recap in a plenary session. Topics will include:
- Data-science for Good Government: the Value Proposition (and Risks) for Policymakers - Jack Robinson (Sorenson Impact)
- The Hand-Off: Reproducibility for Project Sharing and Extensibility - Meg Drouhard (UW eScience)
- Data Sharing – Challenges and Lessons
- Building Data Science Teams
- Ethics, Fairness, and Bias
Discussion Groups Report Back