corporate members news
+ HIGHLIGHTS OF THE YEAR
In Spring 2023, the HDSI and Harvard John A. Paul- son School of Engineering and Applied Sciences hosted a series of virtual seminars on data lead- ership. During this series, the HDSI community had the chance to hear from McKinsey & Com- pany senior leaders along with Harvard faculty and industry leaders from companies and NGOs to discuss pertinent questions and challenges in AI, digital trust, ethics, data governance, and regulation. Read about the series: • Q&A with Liz Grennan + Alex Singla • View seminar recordings
In November 2022, the HDSI and Amazon Web Services (AWS) announced an alliance to support current and future data science research that works to identify potential solutions to complex health, climate, and economic challenges. The joint collabora- tion funds projects led by Harvard faculty working to create new data solutions that amplify the University’s social impact. Read The Harvard Gazette announcement: • Applying cloud computing to major global problems
McKinsey Special Seminar Series
HDSI + AWS Impact Computing Project
Trust in Science is a flagship project of the HDSI, conducted in collaboration with the Harvard Kennedy School’s Program on Science, Technol- ogy & Society (STS). At a time of seemingly wide- spread loss of confidence in science and exper- tise, the Project seeks to illuminate the varied factors that currently impede trusting relations between the producers and users of scientific information. It leverages data science, science and technology studies, and related disciplines to analyze the breakdowns in public trust, and to ask what steps could be taken to promote better mutual understanding. With generous philanthropic support from Bayer, the Project supports faculty-led research efforts, workshops, conferences, symposia, and external engagement to amplify the impact of funded work.
HDSI Faculty Affiliate Kosuke Imai is a Professor of Government and Statistics at the Harvard Facul- ty of Arts & Sciences and a member of the HD- SI’s Causal Inference Working Group. With a gift of Azure credits from Microsoft, Imai and his re- search team developed a tool to detect gerry- mandering which has been used by plaintiffs in gerrymandering cases in several states. Imai’s continued research evaluating the fairness of redistricting rules has revealed that gerryman- dering still disempowers Americans at the dis- trict level. Read about Kosuke Imai’s work: • How to spot a gerrymandered district? Com- pare it to fair ones. • Biggest problem with gerrymandering
BAYER + Trust in science project
HDSI + Microsoft Azure Funding
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