About

On Sunday September 25th 2016, we will reconvene to strengthen our community and further these aims. The overall theme for this year’s edition will be “better governance” or how data science can be applied to solve public interest problems.

The data revolution has enabled businesses to provide better service, at a lower cost, and to more customers, at a scale of change not seen since the industrial revolution. While the corporate sector has effectively engaged the academic community in their problems, public and non-profit sectors have seen comparatively less application of data science methods.

Since 2014, Bloomberg has been hosting this yearly conference on applications of data science to problems related to the social good. This forum has enabled participants from academia, industry, government and NGOs to share insights and progress on applying modern machine learning and data science methods to problems in public and non-profit sectors.

Registration is now open.

Agenda
Subject
to change

8:40 – 8:50 AM

Room: 7E MPR

Introduction & Welcome

Moderator: Shawn Edwards, Chief Technology Officer, Bloomberg L.P.

8:50 – 9:15 AM

Room: 7E MPR

Keynote: Cathy O’Neil

9:15 – 9:40 PM

Room: 7E MPR

Keynote: DJ Patil and Lynn Overmann, White House Office of Science and Technology Policy

Moderator: Gideon Mann, Bloomberg L.P.

9:55 – 10:40 AM

Room: 7E MPR

Data-driven Strategies for Reducing Gun Violence in U.S. Cities

Moderator:
Ted Alcorn, Everytown for Gun Safety

Room: 28 MPR

Planetary Life Signs: Geospatial Data-Driven Stewardship of our Natural Capital

Moderator:
David Klein, Conservation Metrics, Inc.

Room: 29 AUD

EU Lawmakers Advance Data Intelligence to Combat Corruption

Moderator:
Sarah Jane Mahmud, Bloomberg Intelligence

10:40 – 11:45 AM

Room: 7E MPR

Gun Control Paper Presentations

Moderator:
Gideon Mann, Bloomberg L.P.

Room: 28 MPR

D4GX Immersion Day Panel

Moderator:
Justin Hendrix, NYC Media Lab

Room: 29 AUD

Public Service Delivery Paper Presentations

Moderator:
Karin Klein, Bloomberg Beta

11:45 AM – 12:30 PM

Room: 7E MPR

City Services Panel

Moderator:
Susan Kish, Excel Ventures

Room: 28 MPR

The Power of Data Science Volunteerism – Managing Population Health and Forecasting Urban Water Usage

Moderator:
JeanCarlo Bonilla, DataKind

Room: 29 AUD

Lightning Paper Presentations 1

Moderator:
Karin Klein, Bloomberg Beta

12:30 PM

Lunch

1:15 – 2:00 PM

Room: 7E MPR

Eliminating Cyber Threat Whack-a-Mole: Developing a Risk Based Approach

Moderator:
Philip Reitinger, President & CEO, Global Cyber Alliance

Room: 28 MPR

Data & Crime Panel: Western Union, Mastercard, California Dept of Justice

Moderator:
Michael Flowers, Enigma

Room: 29 AUD

Cities Paper Presentations

Moderator:
Mark Dredze, Bloomberg L.P.

2:00 – 3:00 PM

Room: 7E MPR

Decoding the SDGs: Data Solutions for Achieving Sustainable Development Goals

Moderator:
Tim Stiles, KPMG Global Chair

Room: 28 MPR

Mobility Paper Presentations

Moderator:
Mark Dredze, Bloomberg L.P.

Room: 29 AUD

The Future of Data Work at Aid Agencies

Moderator:
Zack Brisson, Reboot

3:00 PM

Coffee Break

3:30 – 4:30 PM

Room: 7E MPR

Quantified Community Paper Presentations

Moderator:
Beth Noveck, NYU Governance Lab

Room: 28 MPR

Closing the Participation Gap in Anti Poverty Program through Data Science

Moderator:
Scarlett Swerdlow, Civis Analytics

Room: 29 AUD

Lightning Paper Presentations II

Moderator:
Kevin Fleming, Bloomberg L.P.

4:30 – 5:30 PM

Closing Reception

2016 Proceedings

Authors: Adibhatla, Varun; Fan, Shi; Atwater, Patrick; Affiliation: ARGO Labs, NYU Center for Data Science, ARGO Labs

Title of paper: Digitizing Municipal Street Inspections Using Computer Vision
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Authors: Adrian Benton, Braden Hancock, Glen Coppersmith, John W Ayers, Mark Dredze; Affiliation: Johns Hopkins University, Stanford, Qntfy, San Diego State University, Johns Hopkins University

Title of paper: After Sandy Hook Elementary: A Year in the Gun Control Debate on Twitter
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Authors: Ahu Yildirmaz; Affiliation: ADP

Title of paper: Using Big Data to Decode Private Sector Wage Growth
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Authors: Alejandro Noriaga, Alex ‘Sandy’ Pentland, Ira Winder, Nina Lutz, Yan Leng, Luis Alonso; Affiliation: MIT Media Lab

Title of paper: Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata
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Authors: Amy Ruppeck; Affiliation: Director, Global Anti-Money Laundering Investigations, Western Union

Title of paper: Fighting Human Trafficking with Data Analysis

Authors: Chris Callison-Burch, Ellie Pavlick; Affiliation: Upenn

Title of paper: The Gun Violence Database
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Authors: Constantine E. Kontokosta, Nicholas Johnson, Anthony Schloss; Affiliation: New York University, University of Warwick & NYU CUSP, Red Hook Initiative

Title of paper: The Quantified Community at Red Hook: Urban Sensing and Citizen Science in Low-Income Neighborhoods
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Authors: Cyrus Vance, Jr, Yurie Ito, Jacob Olcott; Affiliation: New York Country District Attorney, Executive Director, Cyber Green, Vice President, Business Development, BitSight Technologies

Title of panel: Eliminating Cyber Threat Whack-a- Mole: Developing a Risk Based Approach

Moderator: David J. Klein, Conservation Metrics, Inc.; Panelists: John Amos, SkyTruth; Rachael Petersen, Global Forest Watch; Noelle Phares, Mavrx, Inc.

Title of panel: Planetary Life Signs: Geospatial Data-Driven Stewardship of our Natural Capital

Authors: David Ory, Stephen Granger-Bevan; Affiliation: Metropolitan Transportation Commission

Title of paper: A Functioning Beta Solution to the Challenge of Opening Transit Payment System Transaction Data
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Authors: Desmond Upton Patton, Kathleen McKeown, Owen Rambow, Jamie MacBeth; Affiliation: Columbia University, Columbia University, Fairfield University

Title of paper: Using Natural Language Processing and Qualitative Analysis to Intervene in Gang Violence: A Collaboration Between Social Work Researchers and Data Scientists
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Authors: Elena Alfaro Martinez, Maria Hernandez Rubio, Roberto Maestre Martinez, Juan Murillo Arias, Dario Patane, Amanda Zerbe, Robert Kirkpatrick, Miguel Luengo-Oroz; Affiliation: BBVA Data & Analytics, BBVA Data & Analytics, BBVA Data & Analytics, BBVA Data & Analytics, BBVA Data & Analytics, United Nations Global Pulse, United Nations Global Pulse, United Nations Global Pulse

Title of paper: Measuring Economic Resilience to Natural Disasters with Big Economic Transaction Data
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Authors: Gaurav Paruthi, Enrique Frias-Martinez, Vanessa Frias-Martinez; Affiliation: iSchool, University of Michigan, Telefonica Research, Madrid, Spain, iSchool, University of Maryland

Title of paper: The Role of Rating and Loan Characteristics in Online Microfunding Behavior
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Authors: Iana Aranda, Rob Goodier, Laura MacDonald; Affiliation: Engineering for Change, Engineering for Change, Centre for Affordable Water and Sanitation Technology

Title of paper: TMI! How Knowledge Platforms Tame the Information Overload and Advance Global Development Through Technology
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Authors: Jackson Kimani , Rob Waterworth ; Affiliation: The Clinton Foundation- Regional Director, Interim Director- moja global

Title of panel: Moja global: a new approach to measuring greenhouse gas emissions brings potential for improved governance

Authors: Jacob Abernethy, Cyrus Anderson, Chengyu Dai, Arya Farahi, Linh Van Nguyen, Adam Rauh, Eric Schwartz, Guangsha Shi, Jonathan Stroud, XInyu Tan, Jared Webb, Sheng Yang, Wenbo Shen; Affiliation: University of Michigan

Title of paper: Flint Water Crisis: Data-Driven Risk Assessments From Residential Water Testing Data
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Authors: Justin Erlich, Sundeep Pattem, Ilana Parmer; Affiliation: Office of the CA Attorney General

Title of panel: How Open Data Can Make us Smarter on Crime

Authors: Juan Francisco Saldarriaga, David A. King; Affiliation: Columbia University, Arizona State University

Title of paper: Access to Taxicabs for Unbanked Households: An Exploratory Analysis in New York City
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Authors: John W. Ayers, Benjamin M. Althouse, Eric C. Leas, Ted Alcorn, Mark Dredze; Affiliation: San Diego State University, Sante Fe Institute, UC San Diego, Everytown for Gun Safety, Johns Hopkins University

Title of paper: Big Media Data Can Inform Gun Violence Prevention
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Authors: James Kizer, Arnaud Sahuguet, Neil Lakin, Michael Carroll, JP Pollak, Deborah Estrin; Affiliation: The Foundry @ Cornell Tech, The Small Data Lab @ Cornell Tech

Title of paper: Internet Scale Research Studies using SDL-Rx
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Authors: Jacob Abernethy, Cyrus Anderson, Chengyu Dai, John Dryden, Eric Schwartz, Wenbo Shen, Jonathan Stroud, Laura Wendlandt, Sheng Yang, Daniel Zhang; Affiliation: Michigan Data Science Team

Title of paper: Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
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Authors: Katie OConnell, Mackenzie Madden, Dr. Sheri Davis-Faulkner; Affiliation: Westside Communities Alliance

Title of paper: Data Accessibility as a Pathway to Genuine Equality for Atlantics Westside Communities (demo)
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Authors: Katie O’Connell, Yeji Lee, Firaz Peer, Shawn M. Staudaher, Alex Godwin, Mackenzie Madden, Ellen Zegura; Affiliation: Georgia Institute of Technology, University of Wyoming

Title of paper: Making Public Safety Data Accessible in the Westside Atlanta Data Dashboard
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Authors: Kristyna Tomsu, Alexis; Affiliation: Real Impact Analytics, Eggermont

Title of paper: Telecom data for efficient malaria interventions
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Authors: Kyle Protho, Amy Ruppeck; Affiliation: Western Union

Title of panel: Moving Money for Better: The Role of Data Analytics in Western Union’s Anti-Human Trafficking Initiative

Authors: Larry Rudolph, Alex ‘Sandy’ Pentland, Jinhua Zhao, Haris N. Koutsopolous, Yan Leng; Affiliation: MIT/Two Sigma LP, MIT Media Lab, Northeastern

Title of paper: Managing travel demand: Location recommendation for system efficiency based on mobile phone data
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Authors: Lester King; Affiliation: Rice University

Title of paper: Public Intervention Strategies for Distressed Communities
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Authors: Marasi Mwencha, James Rosen; Affiliation: John Snow, Inc., Avenir Health

Title of paper: Better Data Visibility & Data Use Result in Lower Cost and Improved Performance in Medicine Supply Chains
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Authors: Melissa Marsh, Ingrid Erickson, Jonah Bleckner; Affiliation: PLASTARC, Rutgers University, PLASTARC

Title of paper: Transforming building industry and health outcomes through social data-supported design
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Authors: Nadine Levick; Affiliation: EMS Safety Foundation

Title of paper: iRescU – Data for Social Good Saving Lives Bridging the Gaps in Sudden Cardiac Arrest Survival
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Authors: Neal Jean, Marshall Burke, Michael Xie, W. Matthew Davis, David B. Lobell, Stefano Ermon; Affiliation: Stanford University

Title of paper: Combining satellite imagery and machine learning to predict poverty

Authors: Olga Ianiuk, Eve Ahearn; Affiliation: Enigma

Title of paper: Harnessing the Potential of the American Community Survey
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Authors: Patrick Atwater, Christopher Tull, Eric Schmitt, Drew Atwater, Joone Lopez, Varun Adibhatla ; Affiliation: California Data Collaborative, California Data Collaborative,Moulton Niguel Water District, ARGO Labs

Title of paper: Transforming how water is managed in the West
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Authors: Peyman Noursalehi, Haris N. koutsopoulos; Affiliation: Northeastern University

Title of paper: Real-time Predictive Analytics for Improving Public Transportation Systems’ Resilience
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Authors: Rasmi Elasmar; Affiliation: Columbia University

Title of paper: Analytics for Cities (Talk/Demo)

Authors: Rimas Gulbinas, Clay Teeter, Ed Clark; Affiliation: Cornell Tech, Maalka, ZGF Architects

Title of panel: How to Engage Citizens in Large Scale Sustainability Initiatives

Authors: Sarah Knudson, Srijita Sarkar, Abhik Ray; Affiliation: University of Saskatchewan, University of Saskatchewan, ESPN, Inc.

Title of paper: Connecting Data Science and Qualitative Interview Insights through Sentiment Analysis to Assess Migrants’ Emotion States Post-Settlement
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Authors: Scarlett Swerdlow, Steven Lee, Kelly Kreft, Ola Topczewska; Affiliation: Civis Analytics, Robin Hood Foundation

Title of panel: Closing the Participation Gap in Anti-Poverty Programs Through Data Science

Authors: Simone, Andel; Zachary, Jacob; Affiliation: Brody, Koester, Markovits, Phillips

Title of paper: Moving the Needle: What Works Cities and the use of data and evidence
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Authors: Steve Rees, Mary Perry; Affiliation: School Wise Press, K12 Measures

Title of paper: Education Stats Made Visible To Help District Managers Plan
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Authors: Timothy A.A. Stiles, Kate Krukiel, Robert Kirkpatrick, Mary Bridger, Traci Gusher; Affiliation: KPMG Global Chair, Microsoft, UN Global Pulse, Plan International, KPMG Managing Director Data & Analytics

Title of panel: Decoding the SDGs: Data Solutions for Acheiving the Sustainable Development Goals

Authors: Unaiza Ahsan, Oleksandra Sopova, Wes Stayton, Bistra Dilkina; Affiliation: Georgia Tech, Kansas State University, Georgia Tech

Title of paper: Interactive tool to prioritize housing options for refugee resettlement
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Authors: Wessley Merten, Adam Reyer, Jackie Savitz, John Amos, Paul Woods, Brian Sullivan; Affiliation: Oceana, SkyTruth, Google

Title of paper: Global Fishing Watch: Bringing transparency to global fisheries
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Authors: Yasmin Chandani, Elizabeth A. Bunde, PhD, Wambui Waithaka, Eric Wakaria, James Riungu, Judith Njumwah-Kariuki, Alexis Strader; Affiliation: John Snow, Inc.

Title of paper:A Case in Kenya: Unlocking bottlenecks in public health supply chains through data dashboards and enhanced governance structures
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Moderator: Zack Brisson, Reboot; Presenters: Tariq Khokhar, The World Bank; Manuel García-Herranz, UNICEF; Merrick Schaefer, USAID; Molly Jackman, Facebook

Title of panel: Development Data Visionaries: The Future of Data Work at Aid Agencies

Authors: Zhengyi Zhou, Philipp Meerkamp, Chris Volinsky; Affiliation: AT&T Labs Research, Bloomberg LP

Title of paper:Quantifying urban traffic anomalies
Download

2015 Proceedings

Download the complete list of submissions.

Press Links

2016 Press Links

D4GX 2016 Keynotes: How Big Data Can Be A Tool For Good (Or Evil)

Can city governments use data analytics to help improve the lives of citizens? That was the question presented to attendees at Bloomberg’s annual Data for Good Exchange conference on Sunday, September 25, 2016, and the answers weren’t always easy to hear. Read more

D4GX 2016: Four Surprising Tales About City Life, Told Through Data

Cities may end up being one of the biggest winners in the rise of data science. That much is clear from scanning some of the most cutting-edge research in the field. Read more

D4GX 2016: Merging Data Science with Better Governance

Governments are increasingly using Big Data and data science to address pressing social problems and improve public services. In many cities, data analytics is the underpinning for programs that map blighted urban areas for redevelopment, smart energy grids that automatically adjust streetlights to conserve energy, and crime prevention systems meant to deter crime and improve safety. Read more

D4GX 2016: How Technology Can Reduce Carbon Emissions in Developing Countries

Climate change is one of the biggest challenges of this century that’s linked to how we live in and interact with the world. The way we produce our food, heat our homes, travel – all affect climate change. Read more

Data for Good: Bloomberg and NYC Media Lab team data scientists with nonprofits to solve real world problems

Five unique immersions: off campus, out of the lab, and in collaboration with data-driven leadership teams at nonprofits and municipalities around the world. Read more

D4GX 2016: How Data Can Improve our Cities and Better Residents’ Lives

Just over a year ago, the newly elected mayor of Jackson, Mississippi – a city burdened with infrastructure problems and a struggling economy – realized he needed better information before he could take action. Read more

How Algorithms Can Hurt Society: A Chat With Math Radical Cathy O’Neil

Cathy O’Neil believes there is a dark side to numbers. A mathematician by training, she earned her doctorate at Harvard and went on to become a tenure-track professor at Barnard College. Read more

D4GX Preview: Eyeing the Data Behind Gun Violence

Guns are used to kill more than 30,000 Americans every year. But unlike other public health threats such as influenza, the federal government has not taken the lead on researching the causes and consequences of gun violence. Read more

D4GX 2016 Registration Now Open: Enigma.io’s Mike Flowers on Why the Conference is So Important

While the 2016 election season has been contentious around hot topics such as gun safety, climate change and public spending, there is one thing that constituents can all agree on—data science has an enormous potential to solve the government’s most pressing social problems. Read more

Mining Data for the Public Good #D4GX

Bloomberg’s third annual Data for Good Exchange will focus on how data science can be applied to the public interest. Read more

Program Committee Insights: Drew Conway on D4GX 2016

Drew encouraged by the maturation of the Data for Good movement. Read more

Private Data and the Public Good

These are the prepared remarks given on the occasion of the Robert Kahn distinguished lecture at The City College of New York on 5/22/16. Read more

D4GX 2016: Program Committee Announced, Call for Papers Open

Bloomberg shares program committee for 2016 Data for Good Exchange and encourages paper submissions demonstrating applications of data science that can help solve problems for the social good. Read more

Announcing Data for Good Exchange 2016 (#D4GX): Better Governance

D4GX is part of a long Bloomberg tradition of advocacy for using data science and human capital to solve problems at the core of society. Read more

2015 Press Links

Data for Good Exchange 2015: Public Health and the Need for Good, High Quality Data

Dr. Kelly Henning, who leads public health initiatives for Bloomberg Philanthropies, opened D4GX 2015 with a keynote about data science and public health. Read more

Data for Good Exchange 2015 (#D4GX): A Three Part Perspective

Bloomberg’s Chief Technology Officer Shawn Edwards, Global Head of R&D Vlad Kliatchko, and Head of Data Science Gideon Mann share insights from #D4GX. Read more

Oliver Wise, City of New Orleans, to Keynote at Data for Good Exchange (#D4GX)

“The Data for Good Exchange will be an excellent forum for the data science community, government officials and the NGO world to come together to figure out what we can do better and more effectively when it comes to the use of data in our daily work,” said Wise. Read more

Data for Good Exchange Registration is Open

Registration is open for Bloomberg’s 2015 Data for Good Exchange in NYC on September 28. Bloomberg Philanthropies’ Dr. Kelly Henning joins as one of the distinguished keynote speakers. Read more

Data for Good Exchange: Last Chance to Submit Papers

The 2015 Data for Good Exchange is shaping up to be one of the can’t-miss events of the year for data scientists, academics, researchers, policy makers, NGOs and non-for-profits. Read more

Applying Data Science for Social Good Starts with Building Empathy

At DataKind, we are humbled by the thousands of data scientists worldwide that have reached out to us, ready to use their skills for the greater good. Read more

UNICEF Creates Researcher-in-Residence Role With Support From Bloomberg

The growing use of big data by humanitarian groups prompted UNICEF and Bloomberg to take a step to advance such work by creating a researcher-in-residence job at the charity’s New York headquarters. Read more

UNICEF and Bloomberg Announce Data Science Researcher-in-Residence Program

We are thrilled to announce a collaboration with UNICEF to establish a researcher-in-residence position at UNICEF that will seek to expand the impact data science can have on global children’s initiatives. Read more

Opening Data Opens Opportunities

Bloomberg understands the impact open data can have on business and society. Read more

Share How You’re Using Data for Social Good: $25,000 in Prizes and Grants Available

Calling all university faculty and students: apply now to share your data-driven research at this year’s Data for Good Exchange (#d4gx) and a chance to receive various grants and prizes.Read more

Deploying Data to Drive Social Change

We believe that better access to information is both good business and good for society. Read more

Data For Social Good: Our Efforts Continue

At Bloomberg, we believe that equal access to information is a social good; it is a principle fundamentally linked to good business. Our founder, Mike Bloomberg, applied this principle to democratize the opaque capital markets, using cutting edge data and technology to open access to information. Read more

2014 KDD Press Links
KDD at Bloomberg: Wrap Up
On Sunday, August 24, a crowd of nearly 700 people – including prominent data scientists, policy makers and non- and for-profit leaders from around the world – gathered at our global headquarters in New York City with one goal in mind: unleashing the power of data for good. Read more

VIDEOS: KDD at BLOOMBERG Speaker Round-Up
With over 700 attendees — including prominent data scientists, policy makers and non- and for-profit leaders from around the world – the event also featured live talks by over a dozen global thought leaders. Read more

Creating Social Impact At Scale: Dan Doctoroff’s Keynote At KDD
Yesterday, I had the pleasure of speaking to more than 2,000 data scientists, researchers, academics, and technologists at the KDD Conference in New York. The theme of this year’s conference was how to harness data science for social good. Read more

Unleashing the Power of Data For Good
Humans solve problems by identifying the common patterns that can unlock similarities, explain differences, and relate diverse facts into a coherent whole. As the number of sources of information grows, systems become more complex, and… Read more

Unleashing Data For Impact
On August 24, 2014, we will be partnering with the Association of Computing Machinery’s Special Interest Group for Knowledge Discovery and Data Mining (ACM SIGKDD) to host “Unleash Data: Accelerate Impact – KDD at Bloomberg.” Read more

Video Highlights

Watch Highlights:

 

Kelly Henning, M.D. – Public Health Programs, Bloomberg Philanthropies

 

Oliver Wise

Shawn Edwards – Chief Technology Officer, Bloomberg L.P.

 

Vlad Kliatchko – Global Head of R&D, Bloomberg L.P.

 

Gideon Mann – Head of Data Science, Bloomberg L.P.

 

Kelly Henning

 

Oliver Wise

 

Natalia Adler

 

Beth Blauer

 

Sophie Chou

 

Mike Flowers

 

Justin Kosslyn

 

Jake Porway

 

Arnaud Sahuguet

 

David Troy

 

Ben Wellington

Hongyang Bai

 

Elena Enova

 

David Klein

 

Christopher Tull

 

Ben Wellington

Program
Committee

nataliaadler Natalia Adler
UNICEF
@nataliaaadler19
As a ‘development entrepreneur,’ Natalia has been looking for ways to implement social innovations for children at UNICEF for over 10 years. She’s currently serving as the Data, Research and Policy Planning Specialist at UNICEF Headquarters, where she provides strategic management guidance through lean and innovative management practices, with focus on re-thinking UNICEF’s role in upper-middle and high-income status and the ‘data revolution.’ She’s currently supporting the development of a global data strategy for UNICEF, where she’s interested in the intersection of triangulation of different data sources, protocols for better data governance, and how to operationalize a data-use ecosystem for good.
storybell Story Bellows
Brooklyn Public Library
Story Bellows serves as Chief Innovation and Performance Officer for Brooklyn Public Library. In this role, she leads the strategic planning team and ensures that BPL is positioned to deliver excellent service in a rapidly changing urban environment. Before BPL, Story co-founded and served as Director of the Mayor’s Office of New Urban Mechanics in Philadelphia, and was the Director of the Mayors’ Institute on City Design, based in Washington, DC. An urban designer by training, Story holds degrees from Colgate University and the London School of Economics.
robert Robert Cheetham
Azavea
Robert Cheetham is the founder and CEO of Azavea, a B Corporation that applies geospatial technology for civic, social, and environmental impact.  Azavea creates advanced geospatial analysis software for watersheds, climate change, urban ecosystems, elections, transit, public safety and human services.  The firm’s public service mission and research focus are at the heart of its work including: open source projects, R&D partnerships with universities, the Summer of Maps program, the OpenDataPhilly project, and donating a portion of its profits to charitable organizations.  Prior to founding Azavea, he served as a software developer and GIS analyst for the University of Pennsylvania, the City of Philadelphia and the Philadelphia Police Department and as a civil servant in Japan.  He has an MLA in Landscape Architecture and Regional Planning from the University of Pennsylvania and a BA in Japanese Studies from the University of Michigan.
drew_1 Drew Conway
Alluvium
Drew Conway, CEO and founder of Alluvium, is a leading expert in the application of computational methods to social and behavioral problems at large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years.Drew has advised and consulted companies across many industries; ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and government agencies at all levels. Drew started his career in counter-terrorism as a computational social scientist in the U.S. intelligence community.
susancrawford Susan Crawford
Harvard University
Susan Crawford is a professor at Harvard Law School and a co-director of the Berkman Center. She is the author of Captive Audience: The Telecom Industry and Monopoly Power in the New Gilded Age, co-author of The Responsive City: Engaging Communities Through Data-Smart Governance, and a contributor to Medium.com’s Backchannel. She served as Special Assistant to the President for Science, Technology, and Innovation Policy (2009) and co-led the FCC transition team between the Bush and Obama administrations. She also served as a member of Mayor Michael Bloomberg’s Advisory Council on Technology and Innovation and is now a member of Mayor Bill de Blasio’s Broadband Task Force.
michelangelo Michelangelo D’Agostino
Civis Analytics
Michelangelo D’Agostino is the Director of Data Science R&D at Civis Analytics, where he leads a team that develops statistical models and writes software to help companies and non-profits leverage their data.As a reformed particle physicist turned data scientist, Michelangelo loves mungeable datasets, machine learning, and long walks on the beach (with a floppy hat, plenty of sunscreen, and a laptop). He comes to Civis from Braintree, a Chicago-based online payments company that was acquired by PayPal. Prior to Braintree, Michelangelo was a senior analyst in digital analytics with the 2012 Obama re-election campaign. He helped to optimize the campaign’s email fundraising juggernaut and analyzed social media data. He’s also been a mentor with the Data Science for Social Good Fellowship.Michelangelo holds a PhD in particle astrophysics from Berkeley and got his start in analytics sifting through neutrino data from the IceCube experiment. Accordingly, he spent two glorious months at the South Pole, where he slept in a tent salvaged from the Korean War and enjoyed the twice-weekly shower rationing. He’s also written about science and technology for the Economist.
nickidell Nicola Dell
Cornell Tech
Nicki Dell is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech. Her research interests span human-computer interaction (HCI) and information and communication technologies for development (ICTD) with a focus on designing and evaluating systems that improve the lives of underserved populations in low-income regions. Nicki received a Ph.D. in Computer Science from the University of Washington in 2015, where she was awarded a Graduate Facebook Fellowship and a Google Anita Borg Scholarship. She also holds a B.Sc. in Computer Science from the University of East Anglia in the UK.
Mark-Dredze_125x125 Mark Drezde
Research Professor
Johns Hopkins University
@mdredze
Mark Dredze is an Assistant Research Professor in Computer Science at Johns Hopkins University and a research scientist at the Human Language Technology Center of Excellence. He is also affiliated with the Center for Language and Speech Processing and the Center for Population Health Information Technology. His research in natural language processing and machine learning has focused on graphical models, semi-supervised learning, information extraction, large-scale learning, and speech processing. His recent work includes health information applications, including information extraction from social media, biomedical and clinical texts. He obtained his Ph.D. from the University of Pennsylvania in 2009.
Mike-Flowers_125x125 Mike Flowers
Former Head of MODA NYC
enigma.io
@MPFlowersNYC
Mike Flowers leads Enigma’s analytics program and platform development. Prior to joining Enigma, Flowers served as New York City’s first Chief Analytics Officer and Chief Open Platform Officer under Mayor Michael Bloomberg. During his tenure he founded the Mayor’s Office of Data Analytics (MODA), a groundbreaking initiative in the use of public data focused on optimizing operations across more than 40 city agencies and $70 billion in annual budget. In addition, Flowers designed and oversaw the implementation of NYC DataBridge, a citywide analytics platform that enabled the sharing and analysis of city data both across agencies and with the public.Prior to joining the Bloomberg Administration, Flowers served as Counsel to the U.S. Senate Permanent Subcommittee on Investigations and as Deputy Director of the Department of Justice’s Regime Crimes Liaison’s Office in Baghdad.
rachel_1 Rachel Haot
1776
Rachel Haot is a Managing Director at 1776. Prior to 1776, she served as Chief Digital Officer and Deputy Secretary for Technology for New York State and as Chief Digital Officer for the City of New York for five years. Earlier in her career Rachel was Founder and CEO of GroundReport, a global news startup, for four years. She is a World Economic Forum Young Global Leader and a former Adjunct Professor at Columbia Business School.
Susan-Kish_125x125 Susan Kish
Director
The Foundation Center
Susan Kish is a senior executive with more than two decades of experience in financial services, renewable energy, media, networks and building businesses. She is a director and co-founder of the Energy Venture Forum, the foundation which established and produces the European Energy Venture Fair in Zurich.She is an independent Director and Advisor on several boards, including The Foundation Center, InsideClimate News and the SwissNex Science Consulate. Ms. Kish has spoken at TED about her experience learning to code as a senior executive, and is an experienced facilitator on topics including energy, networks, innovation, and risk. She graduated from Harvard University, Magna Cum Laude in History of Science, and lives with her family in Boston.
julialane Julia Lane
NYU – Center for Urban Science & Progress
Julia Lane is a Professor in the Wagner School of Public Policy at New York University. She is also a Provostial Fellow in Innovation Analytics and a Professor in the Center for Urban Science and Policy.
Emmanuel-Letouze_125x125 Emmanuel Letouzé
Director
Data-Pop Alliance
@datapopalliance
Emmanuel Letouzé is the Director and co-Founder of Data-Pop Alliance. He is a Visiting Scholar at MIT Media Lab, a Fellow at HHI, a Senior Research Associate at ODI, a Non-Resident Adviser at the International Peace Institute, and a PhD candidate (ABD) in Demography at UC Berkeley. His interests are in Big Data and development, conflict and fragile states, poverty, migration, official statistics and fiscal policy. He is the author of the UN Global Pulse’s White Paper, “Big Data for Development: Challenges and Opportunities”, where he worked as Senior Development Economist in 2011-12, and the lead author of the report “Big Data for Conflict Prevention” and of the 2013and 2014 OECD Fragile States reports.
Gideon-Mann_125x125 Gideon Mann
Head of Data Science
Bloomberg L.P.
@GideonMann
Gideon Mann is the Head of Data Science at Bloomberg, guiding the strategic direction for machine learning, natural language processing, and search on the core terminal. He is part of the leadership team for the Office of the CTO.He joined Bloomberg from Google Research. At Google, in addition to academic research, his team built the core middle-ware libraries for small-to-medium sized machine learning, and publicly released the Google Prediction API, Smart Auto-Fill for Sheets, and coLaboratory (open-sourced as part of iPython / Project Jupyter).Mann graduated Brown University in 1999 and subsequently received a Ph.D. from The Johns Hopkins University in 2006. His focus at Hopkins was natural language processing with a dissertation on multi-document fact extraction and fusion. After a short post-doc at UMass-Amherst working on problems in weakly supervised machine learning, he started working at Google Research in NYC in 2007.
q_! Q McCallum
@qethanm
Q McCallum works as a professional-services consultant, with a focus on strategic matters around data and technology. His speaking engagements include conferences, meetups, and training events. He is also engaged in a number of projects, ranging from open-government/civic-data collaborations to open-source software tools. Q’s published work includes Business Models for the Data Economy, Parallel R: Data Analysis in the Distributed World and Bad Data Handbook: Mapping the World of Data Problems.
craigneville Craig Nevill-Manning
Sidewalk Labs
Craig is Chief Technology Officer of Sidewalk Labs, leading the engineering team – which focuses on developing new urban technologies – and working with portfolio companies to develop their engineering teams and technology. Before joining Sidewalk Labs, he founded Google’s first remote engineering center, located in New York City. In his role as Engineering Director at Google, he oversaw the development of products including Google Local (now Maps) and Froogle (now Google Shopping), as well as features of web search such as Question Answering and Web Definitions.A native of New Zealand, he earned a BSc in Computer Science from Canterbury University and a PhD in Computer Science from Waikato University. Passionate about great coffee, he co-founded Happy Bones café in Little Italy with his wife Kirsten and partners from New Zealand.
sara_1 Sara Menker
Gro-Intelligence
Sara Menker is Founder and CEO Gro Intelligence. Prior to founding Gro, Sara was a Vice President in Morgan Stanley’s commodities group. She began her career in commodities risk management, where she covered all commodity markets, and subsequently moved to trading, where she managed an options portfolio. Sara is a Trustee of the Mandela Institute for Development Studies, a member of the Global Agenda Council on Africa at the World Economic Forum and an Advisory Board Member of Shining Hope for Communities. Sara was named a Young Global Leader by the World Economic Forum and is a fellow of the Aspen Institute. Sara completed her undergraduate studies at Mount Holyoke College and the London School of Economics and holds an M.B.A. from Columbia University.
jb-michel Jean-Baptiste Michel
Palantir
JB Michel develops key data science technologies at Palantir. His research is focused on turning large datasets into instruments that reveal previously unseen behaviors in biology, society and industry. Prior to Palantir, JB co-founded the boutique data science firm Quantified Labs, was a Visiting Faculty at Google, and founded the Cultural Observatory at Harvard. JB’s research was featured on the covers of Science and Nature, the front pages of the New York Times and the Boston Globe, in TED talks viewed by millions and in the bestselling book “Uncharted: Big Data as a Lens on Human Culture” (Aiden and Michel, Penguin, 2013). He co-discovered the field of “culturomics”, the quantitative analysis of culture through big data. JB is a TED Fellow, a Forbes’ “30 under 30”, an artist whose work is part of the permanent collection at the Whitney Museum of American Art, and was awarded a honorary PhD in Science (’15) from Claremont Graduate University for his work in big data. He holds an Engineer’s Diploma (’05) from Ecole Polytechnique, a Masters in Applied Mathematics (’06) and a PhD in Systems Biology (’10) from Harvard.
bethnoveck Beth Noveck
NYU Governance Lab
@bethnoveck
Beth Simone Noveck is the Jerry Hultin Global Network Professor at the New York University Tandon School of Engineering and a Visiting Professor at the MIT Media Lab. She directs the Governance Lab.
cathyoneail Cathy O’Neil
Cathy O’Neil is a data scientist, writer, and activist. She got a math Ph.D. from Harvard University and was a math professor for a time at Barnard College. In 2007 she went to work as a quant in finance for a few years before switching over to the tech world. After starting a blog at mathbabe.org, she joined Occupy Wall Street and started writing books about data science. Her newest book, Weapons of Math Destruction: how big data increases inequality and threatens democracy, is to be released on September 6, 2016 by Crown Books.
Arnaud-Sahuguet_125x125 Arnaud SahuguetDirector of The Foundry @ Cornell Tech
@Sahuguet
Dr. Sahuguet has a passion to invent and build products that leverage technology to solve meaningful problems and have a large social impact. His goal is to empower people and organisations to be more productive and collaborative through innovation.Before joining GovLab as Chief Technology Officer, Arnaud spent eight years at Google as a product manager for speech recognition and Google Maps; he founded and launched the OneToday mobile fundraising platform for Google; he also worked on child protection and civic innovation.Before Google, he spent five years at Bell Labs research as member of technical staff working on standardisation and identity management.Arnaud holds a PhD in Computer Science from University of Pennsylvania, a MSc from Ecole Nationale des Ponts et Chaussées and a BSc from Ecole Polytechnique in France.
martinsave Martin Saveski
MIT Media Lab
@msaveski
Martin is a PhD student at the MIT Media. His interests lie at the intersection of machine learning, social network analysis, and causal inference.
tomsteinberg Tom Steinberg
UK Government
Tom Steinberg is one of the pioneers of the ‘civic technology’ movement in the UK. In 2003 he founded mySociety, a British-based international NGO that develops civic tech tools including TheyWorkForYou, WhatDoTheyKnow and FixMyStreet. He has also been a policy advisor to various governments and political parties, specifically on policy questions relating to the use of data and the internet. He is now an independent consultant, and writes at Civicist.
saroush Soroush Vosoughi
MIT Media Lab
Soroush Vosoughi is postdoctoral associate working with Professor Deb Roy in the Laboratory for Social Machines at the MIT Media Lab. He is studying and modeling the behavior of highly connected, complex and massive communication systems such as social networks. His main interests lie at the intersection of natural language processing, network analytic and machine learning. For his Ph.D., at the Laboratory for Social Machines at MIT, he developed algorithms for automatic detection and verification of rumors on social media. In the past as a member of the Cognitive Machines group, he has worked on the language, vision and planning subsystems of an interactive physical robot that learns to communicate in human-like ways and has been involved in studying and modeling the underlying processes involved in child language acquisition by analyzing behavior in massive audio-video corpora. Soroush’s work has been published in prestigious journals and international conferences such as: Connection Science, CogSci, ACM SIGCHI, ACM/IEEE HRI, ACM ICMI, Interspeech and Social Informatics (SocInfo). Soroush received his Ph.D., M.Sc, and Sc.B. from MIT in 2015, 2010, and 2008 respectively.
Ben-Wellington_125x125 Ben Wellington
Quantitative Analyst
Two Sigma
@IQuantNY
Ben Wellington is the creator of I Quant NY, a data science and policy blog that focuses on insights drawn from New York City’s public data, and advocates for the expansion and improvement of that data.His data analysis has influenced local government policy including changes in NYC street infrastructure, the way New Yorkers pay for cabs and the design of NYC subway vending machines, and his talk on urban data was featured on TED. He is a contributor to The New York Times, and is a Visiting Assistant Professor in the City & Regional Planning program at The Pratt Institute in Brooklyn. As a quantitative analyst at Two Sigma, he helped launch the firm’s pro bono Data Clinic, which helps non-profits leverage their data to advance their work. Wellington also leads team building and workplace training workshops for Cherub Improv, a non-profit that uses improv comedy for social good.Wellington holds a Ph.D. in Computer Science (Natural Language Processing) from New York University.
Shivon-Zilis_125x125 Shivon Zilis
Investor
Bloomberg Beta
@shivon
Shivon Zilis is an Investor at Bloomberg Beta. She is currently based in San Francisco. She cares most about data and machine intelligence transforming the world. To date, she’s invested in companies taking a data driven approach to redefining the future of news, web navigation, and agriculture. She has also made investments in machine learning platforms, developer platforms, and open source technologies.Zilis attended Yale University, and received a Bachelor’s degree in economics and philosophy.

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