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Young Data Scientists Help Nonprofits and City Governments Harness Their Data

Article

Organizations across the world are employing small armies of data scientists in order to unlock the potential of their troves of data. Employing emerging technologies like machine learning and neural networks, as well as a range of statistical analysis methods, these organizations are able to mine valuable insights from their data. However, this kind of research is expensive, often requiring highly-educated personnel. Although small organizations like municipalities and non-profits are sitting on mountains of data, they often lack the budgets to mine it with data science.

How Data Science Can Be Applied to Solve Public Interest Problems Without Losing Its Soul

Summary: 

This article is a preprint of the introduction to the special issue of the Journal of Technology in Human Services: Selections from the Data for Good Exchange in 2017 (jointly co-authored by Gideon Mann, Bloomberg’s Head of Data Science, and Cornell Tech’s Arnaud Sahuguet) (link).

Blog

This article is a preprint of the introduction to the special issue of the Journal of Technology in Human Services: Selections from the Data for Good Exchange in 2017 (jointly co-authored by Gideon Mann, Bloomberg’s Head of Data Science, and Cornell Tech’s Arnaud Sahuguet) (link).

Bloomberg's Data Initiative: Big Data for Social Good in 2018

By: Randy Bean
Article

Big data has become ubiquitous in recent years.  Whether it is data-driven marketing, sports analytics, political campaigns, or national security threats, data has become central to any type of informed analysis and plan of action.  Consequently, the arrival of Big data has also spawned a data industry and the emergence of data professions – data analysts, data architects, data scientists, and chief data officers.  Against this backdrop, governmental and social service organizations are following suit and initiating efforts to apply sound data practices to a range of societal challenges.  T

Q&A About Data Science Code of Ethics With Lilian Huang of Data for Democracy

Blog

A new initiative from Bloomberg, BrightHive, and Data for Democracy is looking to create shared values on the ethics of data science.

Natalia Adler: Building – and Using – Data Collaboratives to Help Children

Blog

Natalia Adler describes herself as a problem-solver, not a data scientist. When she came to work at UNICEF’s New York headquarters after seven years in Nicaragua and Mozambique, she joined the data research and policy division. “I immediately saw that, even though we do all sorts of data work, we were behind on the data science component,” says Adler, now a data, research, and policy manager at UNICEF (The United Nations Children’s Fund). “And if you want to make progress on that front, you need to access to big data – however, most relevant datasets sit with corporations.”

Bloomberg's Julia Stoyanovich on the Importance of Many Perspectives at the Data for Good Exchange

Blog

Julia Stoyanovich has worked in data management in all different sectors of the tech world. During the first dotcom boom – and bust – she was at Juno, an internet service provider that Stoyanovich says had the distinction of being the first “bad” tech IPO of that time. “It made me stronger,” she says, laughing. Since then, she’s done research at Columbia University, IBM, the Max Planck Institute for Informatics, Yahoo!, and the University of Pennsylvania.

Data For Good Exchange 2016: Eliminating Cyber Threat Whack-a-Mole

Developing a Risk Based Approach
Multimedia with summary

Originally posted on youTube.

Moderator: Philip Reitinger, President & CEO, Global Cyber Alliance
Panelists: Cyrus Vance, Jr., New York Country District Attorney
Jacob Olcott, VP of Business Development, BitSight Technologies
Yurie Ito, Founder & Executive Director, CyberGreen
Scott Carpenter, Managing Director, Jigsaw (formerly Google Ideas) For Engineering jobs: http://bit.ly/23gXZzd

Data for Good Exchange 2016: Highlights

Multimedia with summary

Originally posted on YOUTUBE.

Highlights from the 2016 Data for Good Exchange, hosted by Bloomberg, the theme of which was “better governance” or how data science can be applied to solve public interest problems. For Engineering jobs: http://bit.ly/23gXZzd

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