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CS Colloquium - Computations and Complex Socio-Technical Systems

Feb 10, 2023

04:00 PM - 05:00 PM

MacLean Hall, 110

2 West Washington Street, Iowa City, IA 52240

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Suman Kalyan Maity portrait - courtesy of https://sumanmaity.com/

Speaker

Suman Kalyan Maity

Abstract

We are surrounded by complex, adaptive and evolving socio-technical systems. The expansion and interdependence of technology and social interaction gives rise to a number of complex challenges from various perspectives in these systems. This talk builds on two inter-connected threads—research on social media and Science of Science. In the first part of the talk, I will discuss how social media is misused, specifically focusing on the detection and mitigation of malicious and harmful content on social media platforms. I will present novel methods and techniques for identifying and combating these issues, in order to create a safer and more inclusive environment on social media for all users. In the second part of the talk, I will delve deeper into the fundamental dynamics and uncertainties underlying the inner-workings of Science. I will focus on the evolving global landscape of grants and interdisciplinary publications to better understand team science and collaboration, the evolution of professional careers, and inequality in Science.

Bio

Suman Kalyan Maity is currently a postdoctoral research associate at the MIT Department of Brain and Cognitive Sciences (BCS) and affiliated with the MIT Center for Research on Equitable and Open Scholarship (CREOS). He is also a visiting research fellow at Center for Science of Science and Innovation (CSSI) and The Northwestern Institute on Complex Systems (NICO), Northwestern University. He received his PhD in Computer Science and Engineering from Indian Institute of Technology Kharagpur. He was the recipient of the IBM PhD Fellowship and Microsoft Research India PhD Fellowship Award during his PhD. His research interests lie in the interdisciplinary area of Social Data Science. He develops and applies methods from Natural Language Processing, Machine Learning and Network Science to investigate the potential and opportunities within this interdisciplinary area, with a specific focus on issues related to social media and Science.

Individuals with disabilities are encouraged to attend all University of Iowa–sponsored events. If you are a person with a disability who requires a reasonable accommodation in order to participate in this program, please contact in advance at