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Molly Kleinman

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News

STPP awarded MIDAS grant to advance equitable AI research

Jul 23, 2024
A research project from the Ford School’s Science, Technology, and Public Policy (STPP) program was selected by the Michigan Institute for Data and AI in Society (MIDAS) as part of its 2024 Propelling Original Data Science grants to accelerate...
News

OVPR awards 3 Ford School staff members for research, leadership

Apr 26, 2024
The Office of the Vice President for Research will recognize three of the Ford School's research center staff—Jasmina Camo-Biogradlija (Education Policy Initiative), Molly Kleinman (Science, Technology and Public Policy program), and Kyle S. Kwaiser...
State & Hill

The Last Word: Molly Kleinman

Dec 12, 2023
Molly Kleinman (MSI ’07, PhD CSHPE ’18) joined the Ford School’s Science, Technology, and Public Policy (STPP) program in 2018 and became managing director in 2021. She received her STPP certificate in 2014 and served as Paul Courant’s special...
In the Media

Kleinman on the hazards of facial recognition technology in schools

Oct 4, 2023 City & State
“One thing that’s different from a lot of these earlier kinds of surveillance technologies is the way that the data travels so far beyond the school where it’s coming from,” Kleinman said in an interview.  “The student data in these databases is...
In the Media

Kleinman weighs in on Detroit ShotSpotter debate

Sep 8, 2022 Axios
As the Detroit City Council debates expanding ShotSpotter, a tool that identifies the sound of gunshots, Molly Kleinman, managing director of the Science, Technology, and Public Policy program, weighed in. "There are things they could be doing with...
State & Hill

A program like no other

May 31, 2022
Parthasarathy and the Science, Technology, and Public Policy program chart a unique course for impactIn 2005, when Shobita Parthasarathy saw a position advertised to create a new policy program in science and technology at U-M’s Gerald R. Ford...
News

STPP wins grant to explore Large Language Models  

Jun 11, 2021
Large Language Models (LLM) — machine learning algorithms that can recognize, predict, and  generate human languages on the basis of very large text-based data sets — have captured the imagination of scientists, entrepreneurs, and tech-watchers....