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

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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, 6th floor
(check-in on 3rd floor)
Room ARoom BRoom C
8:00AMBreakfast and Registration is open from 8am.
9:15Keynote: Narendra Mulani (Chief Analytics Officer, Accenture Analytics)
9:45Lightning Talks: Social Challenges in Need of Data
Session Chair: Joe Walsh (UChicago)

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)

Social Challenges in the Midwest and the role of the Midwest Big Data Hub - Melissa Cragin (UIUC & MBDH)
Coffee Break
10:30Data Science for Social Good Fellowship: Project Talks
Session Chair: Kenneth Joseph (Northeastern/Harvard)

Improving Health Outcomes by Intelligent Matching of Patients and Family Doctors - Íñigo Martínez de Rituerto de Troya (DSSG Europe)

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

Developing a Fishing Risk Framework from Satellites and Ocean Data - Iván Higuera-Mendieta (DSSG Europe)

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

Data-Driven Planning for Sustainable Tourism in Tuscany - Momin Malik (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
Session Chair: Alex Engler

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)

Human Capital Analytics: Maternity Leave Policy Change - Athina Kanioura (Accenture)
11:15Data Science for Social Good Fellowship: Project Talks
Session Chair: Andrea Navarrete (ITAM)

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 - Hillary Dawkins and Jacob Rich (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 and Cara Arizmendi (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
Moderator: Rayid Ghani

Lisa Green (Head of Domino for Good, Domino Data Labs)
James Guszcza (US Chief Data Scientist, Deloitte)
Michael Moliterno (Data Scientist, Datascope Analytics)
Narendra Mulani (Chief Analytics Officer, Accenture)
Lunch (Provided) & Topic-Specific Discussion Tables
Training Workshops
We will have 6 training workshops taking place in parallel. Three of them will be on the 6th floor and the other three on the 22nd floor.
1:15Scoping Data Science for Social Good Projects - Lauren Haynes (UChicago)
Better Together: Integrating Data Science and Human Centered Design - Peter Bull and Jessie Wild Sneller (DrivenData)Data Science for Social Good Problem Templates - Rayid Ghani (UChicago)
1:15Hands-on Technical Workshop (Laptop required)
Data Visualization in Python - Alex Engler (UChicago) - Accenture Room A (22nd Floor)
Hands-on Technical Workshop (Laptop required)
Basic SQL for Data Analysis - Joe Walsh (UChicago) Accenture Room B (22nd Floor)
Hands-on Technical Workshop (Laptop required)
Advanced SQL for Data Analysis - Adolfo De Unánue (UChicago) Accenture Room C (22nd Floor)
Training Workshops Round 2
2:30Scoping Data Science for Social Good Projects - Joe Walsh (UChicago)Data Maturity Framework - Christina Sung (UChicago)Machine Learning 101 - Matt Gee (UChicago)
2:30Hands-on Technical Workshop (Laptop required)
Spark for Social Scientists - Alex Engler (UChicago) Accenture Room A (22nd Floor)
Hands-on Technical Workshop (Laptop required)
Text Analysis - Avishek Kumar (UChicago) Accenture Room B (22nd Floor)
Evaluating Models, Biases and Errors - Jane Zanzig & Benedict Kuester (UChicago) Accenture Room C (22nd Floor)
Coffee Break
4:00Training Government Professionals in Data Analytics for Policymaking
Moderator: Jane Zanzig (UChicago)

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)
Behavior Change

Data Science and Behavior Change - James Guszcza (Deloitte)

Flipping the Volunteerism Switch - George Wu (UChicago)
Panel Discussion: Life After Hackathons
Moderator: Burt Lum (Hawaii Open Data)

Adi Abili (AngelHack)
Derek Eder (Chi Hack Night, DataMade)
Ian Henshaw (Technology Tank)

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
8:00Breakfast and Registration is open from 8am.
9:15Plenary Panel: Learnings from Running DSSG Fellowship Programs Across the World
Moderator: Rayid Ghani

Lauren Haynes (UChicago)
Bill Howe (University of Washington)
Leid Zejnilovic (Nova SBE, Lisbon)
10:00Lightning Talks: Deploying Data Science for Social Good Systems
Session Chair: Lauren Haynes (UChicago)

- Sam Edelstein (City of Syracuse)
- Tom Schenk (City of Chicago)
- Joe Walsh (UChicago)

Poster Spotlights (30 second poster pitches)
Coffee Break
10:30Short Talks: Case Studies
Session Chair: Nasir Bhanpuri (Virta Health)

Operationalizing Data Science in Municipal Government - Sam Edelstein (City of Syracuse) & Alex Pudlin (City of LA)

Using Data to Close the SNAP and EITC Participation Gap in NYC - Kelly Kreft and Advik Shreekumar (Civis Analytics)

Takuya Kudo (Accenture)

Short Talks: Collaboration Models for
Doing Data Science for Social Good

Session Chair: Ben Yuhas

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)

Running the Civic Tech Challenge Competition - Steve Philpott (Colony 5)
Short Talks: Data Collection and Data Sharing
Session Chair: Adolfo De Unánue (UChicago)

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 (University of Notre Dame & University of Information Technology and Management in Rzeszow, Poland)

Sharing Securely within Government: Best Practices for Facilitating Interagency
Data Science
- Kevin Wilson (The Lab @ DC)

Use Cases and Challenges in Cross Sector Collaboration with Criminal Justice Data - Lauren Haynes (UChicago)
11:15Short Talks: Case Studies
Session Chair: Benedict Kuester (UChicago)

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

Session Chair: Eddie Lin (UChicago)

Using Public and Private Data to improve Employment Outcomes -Tristan Crockett and Matt Gee (UChicago)

Reducing Lead Poisoning among Children in Chicago - Raed Mansour (Chicago Department of Public Health)

Targeting Neighborhood Preservation inspections in Kansas City, MO - Matt Pazoles (What Works Cities)

Data-Driven Inspections for Safer Housing in San Jose, California - Kit Rodolfa (UChicago)
Panel Discussion: Linking Programmatic Data to Student Academic Data to Improve Youth Outcomes
Moderator: Mackenzie Magnus (Thrive Chicago)

Jennifer Axelrod (University of Chicago Chapin Hall)
Vikki Rompala (Metropolitan Family Services)
Daniel Yao (Chicago Public Schools, Thrive Chicago)
Lunch (Provided) & Poster Session
1:15Short Talks: Case Studies
Session Chair: Frido Linder (Penn State)

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)

Improvements in Patient Retention with Interpretable Machine Learning - Nasir Bhanpuri (Virta Health)
Short Talks: Data Science Education
Session Chair: Kit Rodolfa (UChicago)

Data Science and Policy Graduate Programs - Alex Engler (UChicago)

Data Science Bootcamps - Zach Miller (Metis)

Data Science for Social Good Fellowship Curriculum -
Jane Zanzig (UChicago)

Teaching Data Science for Policy to Government and Non Profit Professionals -
Avishek Kumar (UChicago)
Short Talks: Research Challenges in doing Data Science for Social Good
Session Chair: Hareem Naveed (UChicago)

Challenges in Assessing Predictive Bias - Peter Baumgartner (RTI)

Challenges in Measuring Prevention: Examples from Child Maltreatment Prevention Programs in Texas - Patrick S. 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
Moderator: Lauren Haynes (UChicago)

Donna Jo Maki (Lake County, IL)
John Maki (ICJIA)
Erika Salomon (UChicago)
Panel Discussion: Role of Chief Data Officers in Policymaking
Moderator: Jane Wiseman (Harvard)

Santi Garces (South Bend)
Tom Schenk (City of Chicago)
Leah Tivoli (Seattle)
(2:15 PM) Panel Discussion: Ethics, Fairness, and Bias
Lisa Green (Domino)
Nathan Srebro (TTIC)
Julia Stoyanovich (Drexel University)
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)
Summit Room A
- The Hand-Off: Reproducibility for Project Sharing and Extensibility - Meg Drouhard (UW eScience)
Summit Room B
- Data Sharing – Challenges and Lessons - Christina Sung (UChicago) and Kevin Wilson (The Lab @ DC)
Summit Room C
- How Do We Know We're Doing Social Good? - Erika Salomon and Adolfo De Unánue (UChicago)
Accenture Room A
- Deploying Data Science for Social Good Systems - Klaus Ackermann and Tristan Crockett (UChicago)
Accenture Room B
- Ethics, Fairness, and Bias - Joe Walsh and Benedict Kuester (UChicago)
Accenture Room C
- Collaboration Across Governments, Academia and Industry - Hareem Naveed and Eddie Lin (UChicago)
Accenture Innovation Room
Discussion Groups Report Back