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Data Science for Social Good

dssg.uchicago.edu
On the Phone…

Matt Gee
Research Fellow, Urban Center
for Computation and Data
Founding Organizer of Data Science for
Social Good Summer Fellowship &
Center for Impact Measurement

Data Science for Social Good

dssg.uchicago.edu
Outline
• Overview of the Fellowship Program

• Project Examples from Summer 2013
• What We’re Looking for in Project Partners?

• How we’d like to partner with badging research
and implementation?

Data Science for Social Good

dssg.uchicago.edu
Goals
• Train Students
• Build Internal Agency
Capacity
• Solve Real Problems

Data Science for Social Good
dssg.uchicago.edu
The Eric & Wendy Schmidt Data Science for Social Good Summer 4
Fellowship
Data Science for Social Good

dssg.uchicago.edu
Data Science for Social Good

dssg.uchicago.edu
2013 Project Partners

Data Science for Social Good

dssg.uchicago.edu
Variety of Project Areas
Economic
Education Development Transportation

Health

Energy

EMR Data

Smart
Meter
Data

Education
Records

Housing &
Community
Data

Predicting
Heart Attacks

Discovering
Energy Savings
Opportunities

Predicting
College Underenrollment

Targeting
Foreclosures for
Redevelopment

Data Science for Social Good

dssg.uchicago.edu

Bus GPS
&
Ridership
Data

Simulating Better
Routes to Reduce
Overcrowding

Disaster
Relief

Social
Media
Data

Identifying
Damage in RealTime
DSSG 2014 By the Numbers
50 Fellows
8 Mentors
15 Projects

$1.5 Million
Data Science for Social Good

dssg.uchicago.edu
Ideal 2014 Project Partners
Have:
1. An interesting problem that can be tackled
using data science, machine
learning, predictive analytics, etc.
2. Resources and interest in interacting with us
regularly throughout the summer
3. The ability to use the Fellows’ solution to
make a meaningful social impact

Data Science for Social Good

dssg.uchicago.edu
Problem Types
• Text Analysis/NLP

• Clustering / Finding Structure in Unstructured Data
• Prediction
• Targeting
• Large-scale experimentation/behavior change
• Real-time analysis of large data for decision support
• Data integration
• Novel uses of new data sources
• Anonymization of unstructured data
• Anomaly detection
• Signal processing

Data Science for Social Good

dssg.uchicago.edu
Experience Working with
Federal Partners

Data Science for Social Good

dssg.uchicago.edu
Our process with project
partners
January - February
Initial
Meetings
and Project
Scoping

Data Audit
& Project
Refinement

Data Science for Social Good

March

April

May

Project
Selection &
Contract
Drafting

Finalized
Data
Sharing
Agreement

Meet with
project
mentor

dssg.uchicago.edu

June

Fellowship
begins
DSSG Summer Timeline
12 Weeks
June

Week
1

Week
2

July

Week
3

Week
4

Pitch Solution
to Partners

Data Science for Social Good

Week
5

Week
6

August

Week
7

Present
Prototype

dssg.uchicago.edu

Week
8

Week
9

Week
10

Week
11

Week
12

Project
Presentations
How the Fellowship Works
Prototype

Data Science for Social Good

Final Product

dssg.uchicago.edu
Network Analysis
for Non-Profits
Mining the Web for Fun and Non-Profits

DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013
dssg.uchicago.edu
The Science for Social Good
16
“Our mission is to build a future
in which people live in harmony
with nature. Lorem ipsum dolor
sit amet, consectetur adipiscing
elit. Quisque dignissim dolor vel
velit dictum, eget pulvinar erat
facilisis. Morbi a sollicitudin dui.
Pellentesque posuere ornare
pharetra. Duis sagittis lectus ut
neque aliquet, dictum pretium
dolor porta. Lorem ipsum dolor
sit amet, consectetur adipiscing
elit. Mauris egestas et elit non
dapibus.

Animals

Cancer

Diabetes

Autism

Parkinson’s

Similarity
Metrics

Organs

Environment
Music

HIV/AIDS

Gay Rights
Human Rights

Trafficking
17

DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013
dssg.uchicago.edu
The Science for Social Good

17
Twitter-Informed
Disaster Relief
Extracting Useful Information from Social Media During a Crisis

DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013
dssg.uchicago.edu
The Science for Social Good
18
Flooding bad up
and down sides of
Green River Rd

Too little information
Too many tweets
Tweedr

1. Classify & Filter
2. Cluster & Merge
3. Extract &
Geolocate

User Interface &
Map

DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013
dssg.uchicago.edu
The Science for Social Good
19
Match.edu
Helping Students Find the Right College

Data Science for Social Good

dssg.uchicago.edu
Anthony

Benjamin

• PSAT: 120
• GPA: 2.9

• PSAT: 120
• GPA: 2.9

…went to a college with
an average SAT of
~1250

…went to a college with
an average SAT of
~1650

• One parent went to college
• 2/3 of high school poor

• Both parents went to college
• 1/3 of high school poor
• White

• Black

Data Science for Social Good

dssg.uchicago.edu
Contact Us

rayid@uchicago.edu

mattgee@uchicago.edu

tplagge@uchicago.edu

dssg.uchicago.edu
github.com/organizations/dssg
@datascifellows

Data Science for Social Good

dssg.uchicago.edu

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Dssg overview badging

  • 1. Data Science for Social Good dssg.uchicago.edu
  • 2. On the Phone… Matt Gee Research Fellow, Urban Center for Computation and Data Founding Organizer of Data Science for Social Good Summer Fellowship & Center for Impact Measurement Data Science for Social Good dssg.uchicago.edu
  • 3. Outline • Overview of the Fellowship Program • Project Examples from Summer 2013 • What We’re Looking for in Project Partners? • How we’d like to partner with badging research and implementation? Data Science for Social Good dssg.uchicago.edu
  • 4. Goals • Train Students • Build Internal Agency Capacity • Solve Real Problems Data Science for Social Good dssg.uchicago.edu The Eric & Wendy Schmidt Data Science for Social Good Summer 4 Fellowship
  • 5. Data Science for Social Good dssg.uchicago.edu
  • 6. Data Science for Social Good dssg.uchicago.edu
  • 7. 2013 Project Partners Data Science for Social Good dssg.uchicago.edu
  • 8. Variety of Project Areas Economic Education Development Transportation Health Energy EMR Data Smart Meter Data Education Records Housing & Community Data Predicting Heart Attacks Discovering Energy Savings Opportunities Predicting College Underenrollment Targeting Foreclosures for Redevelopment Data Science for Social Good dssg.uchicago.edu Bus GPS & Ridership Data Simulating Better Routes to Reduce Overcrowding Disaster Relief Social Media Data Identifying Damage in RealTime
  • 9. DSSG 2014 By the Numbers 50 Fellows 8 Mentors 15 Projects $1.5 Million Data Science for Social Good dssg.uchicago.edu
  • 10. Ideal 2014 Project Partners Have: 1. An interesting problem that can be tackled using data science, machine learning, predictive analytics, etc. 2. Resources and interest in interacting with us regularly throughout the summer 3. The ability to use the Fellows’ solution to make a meaningful social impact Data Science for Social Good dssg.uchicago.edu
  • 11. Problem Types • Text Analysis/NLP • Clustering / Finding Structure in Unstructured Data • Prediction • Targeting • Large-scale experimentation/behavior change • Real-time analysis of large data for decision support • Data integration • Novel uses of new data sources • Anonymization of unstructured data • Anomaly detection • Signal processing Data Science for Social Good dssg.uchicago.edu
  • 12. Experience Working with Federal Partners Data Science for Social Good dssg.uchicago.edu
  • 13. Our process with project partners January - February Initial Meetings and Project Scoping Data Audit & Project Refinement Data Science for Social Good March April May Project Selection & Contract Drafting Finalized Data Sharing Agreement Meet with project mentor dssg.uchicago.edu June Fellowship begins
  • 14. DSSG Summer Timeline 12 Weeks June Week 1 Week 2 July Week 3 Week 4 Pitch Solution to Partners Data Science for Social Good Week 5 Week 6 August Week 7 Present Prototype dssg.uchicago.edu Week 8 Week 9 Week 10 Week 11 Week 12 Project Presentations
  • 15. How the Fellowship Works Prototype Data Science for Social Good Final Product dssg.uchicago.edu
  • 16. Network Analysis for Non-Profits Mining the Web for Fun and Non-Profits DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013 dssg.uchicago.edu The Science for Social Good 16
  • 17. “Our mission is to build a future in which people live in harmony with nature. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque dignissim dolor vel velit dictum, eget pulvinar erat facilisis. Morbi a sollicitudin dui. Pellentesque posuere ornare pharetra. Duis sagittis lectus ut neque aliquet, dictum pretium dolor porta. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris egestas et elit non dapibus. Animals Cancer Diabetes Autism Parkinson’s Similarity Metrics Organs Environment Music HIV/AIDS Gay Rights Human Rights Trafficking 17 DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013 dssg.uchicago.edu The Science for Social Good 17
  • 18. Twitter-Informed Disaster Relief Extracting Useful Information from Social Media During a Crisis DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013 dssg.uchicago.edu The Science for Social Good 18
  • 19. Flooding bad up and down sides of Green River Rd Too little information Too many tweets Tweedr 1. Classify & Filter 2. Cluster & Merge 3. Extract & Geolocate User Interface & Map DataEric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013 dssg.uchicago.edu The Science for Social Good 19
  • 20. Match.edu Helping Students Find the Right College Data Science for Social Good dssg.uchicago.edu
  • 21. Anthony Benjamin • PSAT: 120 • GPA: 2.9 • PSAT: 120 • GPA: 2.9 …went to a college with an average SAT of ~1250 …went to a college with an average SAT of ~1650 • One parent went to college • 2/3 of high school poor • Both parents went to college • 1/3 of high school poor • White • Black Data Science for Social Good dssg.uchicago.edu

Editor's Notes

  1. Give 2 sentences on each projectDo thatAsk Fen: should we call in later
  2. The
  3. It is a one-of-a-kind program that brings together some of the most talented students from the best universities in the world, PhD, Masters and Advanced Undergraduates in Computer Science, Statistics, economics, public policy, Physics, and Mathematics, and puts them in interdisciplinary teams to tackle real-world, high-impact problems for governments and non-profits.
  4. Each team of fellows is lead by an experienced mentor from industry or academia. These mentors work with the fellows and the partners to ensure that their work is on point and on time.
  5. Last year we worked with a total of 22 partners to scope projects for the summer fellowship. These partners included Federal, state and local agencies, as well as non-profit organizations and foundations.
  6. Topics ranged from public safety, to disaster response, community development to energy, health to education. For example, we
  7. 50 people, 1.5 million
  8. Last year we scoped several potential projects with federal agencies and learned a lot about some of the main challenges in working with federal partners. This experience will help us better avoid major hurdles as we work with you to scope projects.
  9. The p
  10. The process that fellowship projects go through is hightly collaborative. Fellows will spend time meeting with you to understand the problem you want solved and the data you have available, then work collaboratively in a shared space to develop creative solutions to your problem, and periodically presenting you with new insights and prototype solutions several times throughout the summer. Feedback from the partner throughout the project is critical to the success of the project and we ask that partners have a dedicated point of contact that can provide 10 hours a week to the project for the first two weeks, then 2 hours a week to the project afterward.