Data Science for Social Good

Enabling our clients to have a greater impact with new technologies

A great deal has changed since the late 1960s when Mathematica first pioneered the use of rigorous research methods to gather evidence and inform policymakers about pressing issues. Today we are witnessing a digital transformation of how evidence-building organizations and their partners collect data, conduct analyses, and share information with decision makers and the public. Technological advances have made it possible to access new kinds of data, process large data sets more quickly, and illustrate meaningful trends in data through maps, tables, charts, and other interactive graphics. Cloud computing, artificial intelligence, and predictive analytics have all boosted our field’s capacity to scale data science for social good. As we evolve to make use of ever more sophisticated methods and tools, Mathematica is also leading the way on establishing policies, programs, and practices that prioritize data security, privacy, and ethics under a digital trust framework.

Explore how digital technology is enabling Mathematica and its partners to pursue new questions and develop innovative solutions to meet the most urgent health and social challenges of the day.

Podcast

Diversifying Computational Social Science

This episode of On the Evidence focuses on a joint training initiative sponsored by Mathematica and Howard University designed to build a more diverse pipeline of researchers who use methods and tools from data science and social science.

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Related Staff

Akira Bell

Akira Bell

Senior Vice President; Chief Information Officer

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Matthew Gillingham

Matthew Gillingham

Vice President; Director of Health Technology

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Kate Miller

Kate Miller

Vice President; Chief Technology Officer Human Services, Director of Systems and Technology

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Mary Grider

Mary Grider

Director, Data Analytics

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Nora Paxton

Nora Paxton

Director, Data Analytics

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Alex Bohl

Alex Bohl

Director of Data Innovation

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Fei Xing

Fei Xing

Director of Data Science

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Andrew Hurwitz

Andrew Hurwitz

Lead Data Scientist

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Xindi (Cindy) Hu

Xindi (Cindy) Hu

Lead Data Scientist

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Data Analytics and Technology Solutions

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Partner with us at the intersection of data science, social science, and technology to progress from inquiry to insight to impact. Our evidence-informed solutions empower you to see clearly and act quickly.

Data Analytics

Data Analytics

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Digital Innovation

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Clinical Quality Measure Development

Clinical Quality Measure Development

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Measures as a Service (MaaS)

Measures as a Service (MaaS)

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Case Modeling and Forecasting

Case Modeling and Forecasting

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