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​A study by Stony Brook University and the University of Pennsylvania, published in the Findings of the Association for Computational Linguistics on November 29, 2021, analyzed over three million tweets from 3,000 social bot accounts and an equal number of genuine accounts. The research estimated 17 human attributes—such as age, gender, five personality traits, eight emotions, and sentiment—for each account. While individual bots appeared human-like, their uniformity across these attributes revealed their artificial nature, suggesting a new method for detecting bots based solely on linguistic patterns.

On September 24, 2021, Stony Brook University held an investiture ceremony at the Charles B. Wang Center Theatre to formally recognize four distinguished faculty members with endowed chairs at the Institute for Advanced Computational Science (IACS). The honorees included:​

• Robert J. Harrison, PhD – Director and Chair of IACS

• Heather Lynch, PhD – IACS Endowed Chair in Ecology and Evolution

• Benjamin Levine, PhD – IACS Endowed Chair in Chemistry

• Owen Rambow, PhD – IACS Endowed Chair in Linguistics​WikipediaStony Brook University+1iacs.stonybrook.edu+1iacs.stonybrook.edu

The ceremony, attended by President Maurie McInnis and Provost Paul Goldbart, highlighted the crucial role of philanthropy in attracting top-tier faculty to the university. These endowed positions underscore Stony Brook's commitment to advancing interdisciplinary research and innovation in computational science.

In September 2021, Dr. Ning Wang, a computer scientist at Rowan University, initiated a project to enhance the accessibility of advanced driver-assistance technologies. Collaborating with researchers from Temple University, Stony Brook University, Kettering University, and Wayne State University, the team secured a three-year, $1.2 million grant from the National Science Foundation's Cyber-Physical Systems program. Their approach utilizes collaborative artificial intelligence inference to enable real-time processing of driving data, reducing the need for extensive onboard computational power. This innovation aims to integrate advanced safety features into existing vehicles, potentially through smartphone applications, thereby making such technologies more affordable and accessible to a broader range of drivers.​

Stony Brook University is developing "AI-Grid," an artificial intelligence-enabled autonomous grid aimed at enhancing the resilience of power infrastructure against cyberattacks, faults, and disasters. Led by Professor Peng Zhang, the project is supported by a $5 million cooperative agreement from the National Science Foundation's Convergence Accelerator Program. The initiative involves a multidisciplinary team and over 30 partnerships with utilities, government agencies, and research institutions. AI-Grid integrates deep learning, encrypted control, and active fault management to create a lightweight, secure, and replicable solution for modernizing electrical grids.