Data Science for Social Good

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.