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

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.

Agenda

 

 

9:00 Opening
9:15

Keynote Talk:
Narendra Mulani (Chief Analytics Officer, Accenture Analytics)

9:30
9:45 Lightning Talks – Social Challenges in Need of Data Science
Data Science and the Future of Food: Using Technology to Feed the Planet. John Monaghan
Leveraging Data Science for the National Network’s Intimate Partner Violence Intervention. Kyle Ott
Challenges in Measuring Child Maltreatment Prevention. Patrick Tennant
10:00
10:15 Coffee Break
10:30 Breakout Session 1A:
Data Science for Social Good Fellowship –  Project Talks (from programs in Portugal, Seattle, Atlanta, IBM, and Taiwan)
Breakout Session 1B: Short Talks – Private Sector and Doing Data Science for Social Good

Going the Distance: Big Data on Resident Access to Everyday Goods. Kelly Benoit, Diana Farrell , Lindsay Relihan, Marvin Ward, Bryan Kim (JP Morgan Chase Institute)

A case study of mobility and dengue in Pakistan. Caroline Buckee (Harvard), Kenth Engø-Monsen (Telenor)

Sacha Litman (Global Lead, & Company Public and Social Sector Analytics)

10:45
11:00
11:15 Breakout Session 2A:
Data Science for Social Good Fellowship –  Project Talks (from programs in Portugal, Seattle, Atlanta, IBM, and Taiwan)
Breakout Session 2B: Panel Discussion – Role of the Private Sector in Data Science for Social Good Efforts
11:30
11:45
12:00 Lunch (Provided)
12:15
12:30
12:45
13:00
13:15 Training Workshop 1:
Scoping Data Science
for Social Good Projects
Training Workshop 2
Integrating Data Science and
Human Centered Design
Training Workshop 3:
Data Science for Social Good Problem Templates
13:30
13:45
14:00
14:15 Training Workshop 4:
Scoping Data Science
for Social Good Projects
Training Workshop 5
Preparing to do a Data Science Project
(Legal Agreements, Technical Requirements,
Data Acquisition)
Training Workshop 6,7,8,9:
Hands-on Technical training sessions
14:30
14:45
15:00
15:15 Coffee Break
15:30
15:45 Panel: The Benefits and Pitfalls of using
Data for Social Impact and Policymaking
16:00
16:15
16:30
16:45 Closing Day 1
17:00 Break and Walk to Reception Venue
17:15
17:30
17:45 Reception (Food and Drinks will be served)
18:00
18:15
18:30
18:45
19:00

 

9:00 Opening
9:15 Plenary Panel: Learnings from DSSG Programs
9:30
9:45
10:00 Lightning Talks: Deploying Data Science for Social Good Solutions
10:15 Coffee Break
10:30 Breakout Session 3A:
Data Collection:
Challenges and Methodologies
Breakout Session 3B:
Collaboration Models for
Doing Data Science for Social Good
Breakout Session 3C: Case Studies
10:45
11:00
11:15 Breakout Session 4A:
Short Talks – Data Sharing across Agencies
Breakout Session 4B:
Panel Discussion – Life after hackathons
Breakout Session 4C: Panel Discussion
Linking programmatic data to student academic data to improve outcomes for youth.
11:30
11:45
12:00 Lunch
12:15
12:30
12:45
13:00
13:15 Breakout Session 5A:
Short Talks: Data Science Education
Breakout Session 5B:
Short Talks: Use of Data to Improve Criminal Justice
Breakout Session 5C
Short Talks: Research Challenges in doing Data Science for Social Good
13:30
13:45
14:00 Breakout Session 6A: Panel Discussion
Role of Chief Data Officers in Policymaking
Breakout Session 6B: Panel Discussion
Using Data to Address the Opioid Epidemic
Breakout Session 6C
Panel Discussion: Ethics, Fairness, and Bias
14:15
14:30
14:45 Coffee Break
15:00
15:15 Discussion Group Session 1:
Data Sharing – Challenges and Lessons
Discussion Group Session 2
Building Data Science Teams
Discussion Group Session 3:
Ethics, Fairness, and Bias
15:30
15:45
16:00
16:15
16:30 Plenary Session
16:45 Discussion Group Report Back and Discussion
17:00
17:15 Closing