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2021 Research Achievement Awards | Research at Brown


2021 Research Achievement Awards
Brown University will award Research Achievement Awards to six faculty members as part of its annual program honoring extraordinary scholars for their research across a wide range of academic disciplines.
“Brown researchers are accomplishing remarkable work in many fields, and with these awards we recognize the exceptional achievements and discoveries of six of them,” said Vice President for Research Jill Pipher, a professor of mathematics. “During this year of global pandemic, the creativity and resilience of Brown faculty members has been extraordinary. We greatly value their determination to advance important fundamental and translational research.”
The consequential research that Brown faculty members conduct ensures the University’s ability to fulfill its academic mission and be an agent of meaningful change, Provost Richard M. Locke said. ....

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Two from Department of Statistics named Institute of Mathematical Statistics Fellows


18 May 2021
Two faculty members from the Penn State Department of Statistics have been named Fellows of the Institute of Mathematical Statistics.
Nicole Lazar, professor of statistics, and
Aleksandra (Seša) Slavković, professor of statistics and associate dean for graduate education for the Eberly College of Science, have been recognized for their distinction in research and leadership in the field.
Created in 1935, the Institute of Mathematical Statistics (IMS) is a member organization that fosters the development and dissemination of the theory and applications of statistics and probability. The IMS has 3,500 active members throughout the world, and approximately 15% of its current membership has earned the status of fellowship. In 2021, 41 members were selected for IMA Fellowship by a committee of their peers. ....

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Penn State center to advance AI tools to accelerate scientific progress


A new research center at Penn State, the Center for Artificial Intelligence Foundations and Scientific Applications, or CENSAI, will unite Penn State researchers to explore the use of artificial intelligence (AI) as a tool to investigate key steps in the scientific process. CENSAI is part of Penn State’s Institute for Computational and Data Sciences, and it includes faculty from across Penn State.
Penn State Institute for Computational and Data Sciences
“The emergence of big data and advances in machine learning have dramatically accelerated some of the key steps in science. However, many key elements of the scientific process remain largely untouched and untamed by artificial intelligence,” said Honavar. “We believe that we can dramatically accelerate scientific progress, potentially by several orders of magnitude, in some disciplines, by effectively addressing these bottlenecks.” ....

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