Data Science Corps Conference at the McCourt School of Public Policy, in conjunction with the Data Science for Public Policy Program

Conference Participant Bios

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December 7 - 8, Georgetown University, Washington DC

VISION: The Data Science Corps is envisioned as an effort to help unleash the power of data at the local, state, national, and international levels in the service of science and society by providing practical experiences, teaching new skills, and offering teaching opportunities in data science to U.S. data scientists and data science students.

MISSION: The mission of the Data Science Corps is to:

(i) Enable U.S. data scientists and data science students to obtain practical experience with data-intensive applications;

(ii) Promote a better understanding of the power of data, and the role that data can play in addressing issues at the local, regional, national, and international levels;

(iii) Teach data literacy and provide basic training in data science to the existing workforce in communities, organizations, and institutions at the local, state, national, and international levels.

Data Science Corps builds upon and enhances American leadership in data science as well as increasing American competitiveness in the data-driven global landscape by enabling sound data science practices across communities.

BACKGROUND: In practice, using data involves work. For example, one must understand the dataset context; the data may have to be cleaned and filtered; they may need to be “wrangled” into different formats; data collection and curation methods may require improvement; the data may need to be analyzed and visualized using alternative methods; and, finally, the findings have to be communicated to intended audience in order to inform decision-making. There are many examples in practice where data collected are left unused or underused.

In other cases, even rudimentary approaches to data collection—let alone data analysis—have not taken root among organizations. Data Science Corps would engage with participating organizations/institutions across rural, inner city, state, national, international communities to enable increased use of their data assets, while providing practical, hands-on experience to Data Science Corps volunteers. Proficiency in data collection, data curation, data management, data analysis, and data-driven decision-making is increasingly becoming a major differentiator between efficient, rich, highly functioning communities versus less efficient, poorer communities. Bridging the data-to-knowledge gap will enable communities at all levels to make better use of their data assets. Data Science Corps will focus especially on underserved communities.

Interactions between Data Science Corps volunteers and the communities they serve will be mutually beneficial—enabling data literacy and transfer of data science skills to local communities, on the one hand, while providing insights, practical experience, and teaching opportunities to participating data scientists, on the other.

STRUCTURE: The Data Science Corps would provide an organizational structure to (i) help establish and disseminate best practices; (ii) maintain lists of volunteer organizations and project organizations; and, (iii) provide a brokering function between these sets of organizations, to match Data Science Corps volunteers to projects in the field (see figure). The Data Science Corps could enhance existing internship and study abroad programs at academic institutions by providing a data science “track”/focus. Programs like the National Science Foundation’s Big Data Regional Innovation Hubs and Spokes and Smart & Connected Communities, which already have a community-engagement component, and similar programs in other agencies, would be ripe targets for the Data Science Corps.

Data Science Corps

Data Corps Workshop
Dec 7th and 8th, 2017
McCourt School of Public Policy
Georgetown University, Washington, DC


Objective

The Data Science Corps is envisioned as an effort to help unleash the power of data at the local, state, national, and international levels in the service of science and society by providing practical experiences, teaching new skills, and offering teaching opportunities in data science to U.S. data scientists and data science students.

This workshop aims to bring together more than 50 representatives from academia, government agencies, foundations, private-sector companies, international organizations, and nonprofits to discuss the vision and implementation of a Data Science Corps program.
 
The outcome of this workshop will be implementation plan and time table for the Data Science Corps, as well as suggested pilot projects for deploying a first cohort of Data Science Corps volunteers.

 

Agenda

Day 1 – December 7th, 2017
Location: Old North 205

 
 
8:30 am
Registration and breakfast
 
9:00 am
Welcome Remarks
Michael Bailey, Georgetown University
Jim Kurose, NSF/CISE

 
9:20 am
The Data Science Corps Vision
Chaitan Baru, NSF/CISE 
 
9:30 am
Keynote : Brandon Pustejovsky, Chief Data Officer, USAID (Old North 205)
 
10:00 am
Roundtable 1: Projects (Old North 205)

Discuss projects and project types that would benefit from Data Science Corps volunteers and resources.

Session Chair: Sarah Stone

  • Avi Bender, National Technical Information Service (NTIS)
  • Victoria Cerullo, Bloomberg

  • Jake Porway, DataKind

  • Drew Zachary, U.S. Census Bureau

11:00 am
Coffee Break outside of Old North 205
 
11:30 am
Breakout Discussion 1Projects

Room assignments will be shared in Old North 205
Discussion groups with 8 to 10 people to discuss how to connect with organizations offering projects.

 

12:30 pm
Lunch
 
1:30 pm
Re-group in Old North 205 to share discussion outcomes
 
2:15 pm
Roundtable 2: Resources and Volunteers 

Discuss how volunteers and resources could be identified and utilized for the Data Science Corps.

Session Chair: Donna Medeiros

  • Catherine Gihlstorf, SAS
  • Robert Kirkpatrick, UN Global Pulse Lab

  • Adam Seth Levine, Cornell University and Research 4 Impact

  • Mathew Taylor, Intel

3:15 pm
Coffee Break outside of Old North 205
 
3:45 pm
Breakout Discussion 2Volunteers and resources

Room assignments will be shared in Old North 205
Discussion groups with 8 to 10 people to how to identify, train and deploy volunteers and other resources.

 

4:45 pm
Re-group in Old North 205 to share discussion outcomes
 
5:30 pm
Reception and dinner in Bio-Ethics Library, Healy Hall

 

Day 2 – December 8th, 2017
 
 
8:30 am
Welcome and Recap (Old North 205)
Mike Bailey, Georgetown University
 
8:45 am
Roundtable 3: Structure and Sustainability (Old North 205)

Discuss how to structure and sustain the Data Science Corps.

Session Chair: René Bastón

  • Danielle Dhillon, Digital Impact Alliance

  • Josh Greenberg, Sloan Foundation
  • Claire Melamed, Global Partnership for Sustainable Development Data

  • Trevor Monroe, The World Bank

9:45 am
Breakout Discussion 3 – Data Science Corps Structure and Sustainability

Room assignments will be shared in Old North 205

Discussion groups with 8 to 10 people to how to structure the Data Corps for maximum effectiveness, and for long-term success.
 

10:45 am
Coffee Break outside of Old North 205
 
11:15 am
Re-group in plenary to share discussion outcomes 
 
11:15 am
Group discussion of next steps (Old North 205)
Session Chair: Michael Bailey
  • Should U.S./national and international be two separate operations?
  • Do we need additional workshops? If yes, why, when, where, who to invite?
  • Should we consider running workshops outside the U.S.? If yes, why, when, where, whom to invite.
  • What should a pilot/feasibility project look like? What should be the timeline?
  • Formation of working groups
  • Roles and responsibilities

 

12:30 pm
Closing Remarks followed by lunch
Mike Bailey, Georgetown University
 
 

                        

Data Science Corps Conference at the McCourt School of Public Policy, in conjunction with the Data Science for Public Policy Program<.

December 7 - 8, Georgetown University, Washington DC

Organizing Committee Members:

  • Michael Bailey (Chair), Interim Dean, McCourt School of Public Policy, Colonel William J. Walsh Professor, Department of Government, Georgetown University
  • Vandana Janeja (Co-chair), Associate Professor, University of Maryland, Baltimore County and AAAS Big Data Fellow
  • Joanna Chan (Co-chair), Data Scientist, National Technical Information Service, Department of Commerce
  • René Bastón, Executive Director, NSF Northeast Big Data Regional Innovation Hub, Columbia University
  • Melissa Cragin, Executive Director, NSF Midwest Big Data Regional Innovation Hub, University of Illinois
  • Gary Fowlie, Head, International Telecommunication Union Liaison Office to the United Nations
  • Tania McVeety, Manager, Global University Programs, Corporate Technology, IBM
  • Donna Medeiros, Asian Development Bank, Senior Digital Architect and Policy Consultant
  • Renata Rawlings-Goss, Co-Executive Director, NSF South Big Data Regional Innovation Hub, Georgia Tech
  • Lea Shanley, Co-Executive Director, NSF South Big Data Regional Innovation Hub, UNC Chapel Hill
  • Sarah Stone, Deputy Director, NSF West Big Data Regional Innovation Hub, University of Washington
  • Drew Zachary,  Director, The Opportunity Project, U.S. Department of Commerce

Sponsors

Main Sponsor:

Platinum Sponsors:

IBM Logo         Sloan Foundation logo

Silver Sponsor:

Bloomberg Logo

Hotel Information

Conference participants are welcome to stay at any hotels in the area, however through December 1st, Data Science Corp has a block reservation at the Georgetown Inn. The Georgetown Inn is located at 1310 Wisconsin Avenue NW and is walking distance to the Georgetown University campus.

Getting to Campus

If you are driving to campus, you should plan to park at the Southwest Garage located at the bottom of Kennedy Hall. You should use 3611 Canal Road NW as the address when mapping directions in GPS. It is important to note that this garage is cash only. You can find additional directions about driving to campus here and additional information about parking here. We will share additional information about transportation reimbursements at the conference. 

If you are taking a taxi or ride share vehicle, it is easiest to get dropped off at the Main Gates of the University, located at the intersection of 37th and O Streets NW. The University does not allow taxis, Ubers, Lyfts, etc. on campus, so you should not use the parking garage address or any other campus location as a drop off spot. 

Wifi Access
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Campus Map
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