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.

Call for Papers

At the Data for Good Exchange participants shared success stories, challenges, and visions for the future of applications of data science to problems around social good.


The workshop will take place at 731 Lexington Ave New York NY on Sunday, September 25, 2016. There will be no cost to attend.

Keynote and workshop sessions will be organized around the following topic areas.

  1. Justice and fairness, including criminal justice, discrimination, algorithmic bias, workers’ rights, voting rights, etc.
  2. Economic development, including housing, job security, immigration, wages, challenges coming from the “gig” economy, remittance services, etc.
  3. Security and safety, including emergency services, cyber-attacks, dark web and illegal content, gun control, resilience, etc.
  4. Public service delivery, including transportation, sustainability, biodiversity and health monitoring, public health, etc.

Our goal is to share success stories, challenges, and visions for the future of applications of data science to problems around the social good. We welcome submissions that either:

(a) Explain a successful application or innovative system that solves a governance problem

(b) Present a challenge problem that might be aided by use of data science or citizen science

(c) Describe an especially relevant and specialized data set, or

(d) Lay out a vision for the future direction of these growing fields

Click here to download the complete Call for Papers.

Click here to download the Word document template for all submissions.

Call for Papers closed as of July 1, 2016.

2015 Proceedings

Download the complete list of submissions.

Press Links

2016 Press Links

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

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


nataliaadler Natalia Adler
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
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
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
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
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
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
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
Data-Pop Alliance
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.
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
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
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
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
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.
sanaodeh Sana Odeh
NYU Courant
Professor Sana Odeh, is a Clinical Professor, and Faculty Liaison for Global Programs of Computer Science at Courant Institute of Mathematical Sciences, New York University, and an Affiliated Faculty of Computer Science, New York University Abu Dhabi (NYUAD). A proponent of women in technology, professor Odeh is the founder and chair of the NYUAD Conference on Women in Computing in the Arab world, founder and chair of the Arab Women in Computing (arabwic.org), founder and chair of the Annual NYU Abu Dhabi International Hackathon for the Social Good in the Arab World, chair of the annual New York City Girls Computer Science and Engineering Conference and Princeton University Graduate Women in Science and Engineering, and the faculty advisor for NYU’s Courant Women in Computing. She is a member of the leadership committee of the Grace Hopper Celebration of Women in Computing (GHC), and also a member of the steering committee of the Association for Computing Machinery Council on Women in Computing (ACM-W). Her research focuses on Programming Languages and Web and Mobile Technologies, CS for Social Good, Developing information technologies for the developing world, E-Learning, and Arab Women in Computing.
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
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
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
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
Bloomberg Beta
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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