Dssg overview badging

442 views

Published on

Published in: Education, Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
442
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Give 2 sentences on each projectDo thatAsk Fen: should we call in later
  • The
  • 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.
  • 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.
  • 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.
  • Topics ranged from public safety, to disaster response, community development to energy, health to education. For example, we
  • 50 people, 1.5 million
  • 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.
  • The p
  • 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.
  • Dssg overview badging

    1. 1. Data Science for Social Good dssg.uchicago.edu
    2. 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. 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. 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. 5. Data Science for Social Good dssg.uchicago.edu
    6. 6. Data Science for Social Good dssg.uchicago.edu
    7. 7. 2013 Project Partners Data Science for Social Good dssg.uchicago.edu
    8. 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. 9. DSSG 2014 By the Numbers 50 Fellows 8 Mentors 15 Projects $1.5 Million Data Science for Social Good dssg.uchicago.edu
    10. 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. 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. 12. Experience Working with Federal Partners Data Science for Social Good dssg.uchicago.edu
    13. 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. 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. 15. How the Fellowship Works Prototype Data Science for Social Good Final Product dssg.uchicago.edu
    16. 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. 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. 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. 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. 20. Match.edu Helping Students Find the Right College Data Science for Social Good dssg.uchicago.edu
    21. 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
    22. 22. 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

    ×