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Dietrich College of Humanities and Social Sciences  ›  Statistics & Data Science  ›  News  ›  2022

2022 News

Ali Shakir Aims to Shine Light on Gravitational Lensing

A junior in physics and statistics and data science has received funding through the Office of Undergraduate Research and Scholar Development to work in Professor Rachel Mandelbaum's lab.

Faculty Spotlight: Nynke Niezink

Nynke Niezink, assistant professor of Statistics & Data Science, works on developing statistical methods for the social sciences.

Holt, Rinaldo Named Dietrich College Dean’s Chairs

The Dean's Chairs recognize senior faculty for eminence in their respective fields and support exceptional research that seeks to improve the human condition.

Largest Study to Date Identifies New Autism Genes

A study that scanned the genomes of 150,000 participants identified new genes linked to autism and other neurodevelopmental disorders.

Book in Honor of the Late Stephen E. Fienberg

"Statistics in the Public Interest" features 28 invited papers from a wide range of authors organized into six sections reflecting the breadth of Steve Fienberg’s interests.

Rinaldo and Tibshirani Selected as 2022 IMS Fellows

Professors Alessandro Rinaldo and Ryan Tibshirani have been selected as 2022 Institute of Mathematical Sciences (IMS) Fellows.

Branson Selected for 2022-2023 Wimmer Fellowship

Zach Branson has been selected to receive a Wimmer Faculty Fellowship for 2022-2023.

Delphi Group, University of Maryland, Meta Honored for COVID-19 Survey

ÓÕ»óÂÜÀò's Delphi Group, the University of Maryland Social Data Science Center and Meta received two awards from the American Association of Public Opinion Research (AAPOR) for their work on the COVID-19 Trends and Impact Survey.

de Oliveira Joins SCS Grads in Amazon Research Fellowship

Amazon awarded its second round of research fellowships to five graduate students at ÓÕ»óÂÜÀò.
COVIDcast: Lessons Learned for Future Pandemic Forecasting

COVIDcast: Lessons Learned for Future Pandemic Forecasting

A massive COVID-19 data collection project led by researchers in CMU’s Delphi Research Group not only helped steer the response to the virus but could also change the future of pandemic forecasting. Throughout the PNAS collection, the researchers reflect on their first year of data collection and analysis and share lessons they learned.
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