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

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

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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).

Tuesday, January 30, 2018 - 11:10am

CAMPAIGN: Bloomberg: Sustainable Business

CONTENT: Blog

Data science has had a tremendous impact in the private sector and is increasingly being applied in the public sector. The Data for Good Exchange (D4GX) is an annual conference centered on these novel problems and applications. This article describes the history of the conference and introduces a selection of the best papers from the 2017 conference that focus on human services.

The Data for Good Exchange (D4GX) is an annual conference on the application of data science for social good. The event, which is hosted by Bloomberg’s Office of the CTO in New York City each September, attracts a mixed audience of data scientists and direct practitioners from academia, industry, non-profits and government. Throughout the day, there is a mix of panels and paper presentations, all of which are recorded and available online. This special issue of the Journal of Technology in Human Services presents a selection of the best papers from the 2017 conference that focus on human services, as well as some of the history behind D4GX.

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Keywords: Innovation & Technology | Bloomberg | Data for Good Exchange | Media & Communications | Research, Reports & Publications | Responsible Business & Employee Engagement | Responsible Production & Consumption | conferences | d4gx | techatbloomberg

CAMPAIGN: Bloomberg: Sustainable Business

CONTENT: Blog