Sarah Rovito, Divyansh Kaushik, and Surya Dev Aggarwal will present on how they brought together faculty bibliometric data from the Academic Analytics Research Center (AARC) (obtained through special research-use permission) with faculty region of origin at birth data from the MIT Office of the Provost in support of a case study exploring the contributions of international scientists to MIT’s research output. This analysis was recently published as part of ain Volume II of the MIT Science Policy Review.
Sarah, Divyansh, and Surya, along with representatives from the MIT Office of the Provost, look forward to sharing their experience working with the AARC, findings from the MIT case study, and potential avenues for future research.
Sarah Rovito is the Founder and CEO of Rovito Ventures LLC, a consulting firm providing science, technology, and innovation policy services. She previously served as a 2019-2020 IEEE-USA Congressional Fellow in the U.S.House of Representatives and as the Director of Science & Research Policy at the Association of Public and Land-grant Universities. Sarah provided systems engineering, project management, strategic planning, and business development support to Department of Defense clients earlier in her career. She is licensed as a Professional Engineer and holds an S.M. in Technology and Policy from the Massachusetts Institute of Technology, where she was a Draper Laboratory Fellow, an M.S. in Systems Engineering from The George Washington University, and a B.S.E. in Systems and Control Engineering from Case Western Reserve University.
Surya is a microbiologist currently researching the biology of respiratory infections at NYU Grossman School of Medicine. Prior to that, he completed his Ph.D. at Carnegie Mellon University. Surya is an advocate for international scientists, and graduate students, on issues pertaining to higher education in the US.
Divyansh Kaushik is a Ph.D. student at the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University. At CMU, he is part of the Approximately Correct Machine Intelligence (ACMI) Lab and is advised by Dr. Eduard Hovy and Dr. Zachary Lipton. He is an Amazon Graduate Research Fellow and broadly, his interests lie in exploring human-AI interaction. His research specifically focuses on exploring how we can use different forms of human feedback to robustify NLP systems. Over the years, his work has been supported by Amazon AI, Pricewaterhouse Coopers, and Facebook AI. He is also the President of the Carnegie Mellon University Graduate Student Assembly.
For any questions or comments please.