Potential Computational Social Science Speakers

[bhavyapan]

We ask you to:

• Propose 1 or more computational social scientists we can invite for our seminar series this year, including a 1-2 sentence defense of why others might want to hear from them
• Uprank ("thumbs up") 5 other proposals

Professor Evans will invite the top-most upranked people for the seminar over the course of the year.

[Marugannwg]

Kate Crawford. I'm really interested in how people can be creative about social science and computing/AI technology. Both fields have a strong interdisciplinary nature, and I found Kate Crawford's writing illustrates such nature. Her study covers the application of AI in various domains, from politics and ethics to media and art.

[saniazeb8]

Marti A. Hearst

[Daniela-miaut]

I would also like to hear from Professor Andrew Abbott, but about how computational methods can be applied in relation to our various traditional ways of knowing.

[Joycepeiting]

I would like to recommend Dr. Andrew Sweeting. His past work in identifying the price dynamics and investigating product differentiation using computational and empirical methods are intriguing. Here are some of his works: http://www.asweeting.com/publications-1.html

[zimoma0819]

Molly Ireland, Ph.D.

She studies an social-personality psychology. Her work focus on analysing naturalistic and experimental language to understand a person's attitudes toward a work and their major life changes and individual life difference. She touches on linguistics and social psychology and also uses computerized text analysis, which sounds very interesting to me!!!

[JerryCG]

Han Zhang.

Han Zhang is an Assistant Professor in Division of Social Science, HKUST. He is good at using image data/computer vision to study social events like protests. For example, in one of his paper, he proposed a new mechanism of China's governance to prevent protests based on the street monitors' locations. His direction is very interesting to me!

[hchen0628]

Xiaogang WU(https://as.nyu.edu/faculty/xiaogang-wu-.html)

Dr. Wu is a professor at New York University and also the Director of the Center for Applied Social and Economic Research (CASER) at NYU Shanghai. He has organized and participated in many quantitative studies about Hong Kong and Shanghai, aiming to use empirical data to gain systematic knowledge about society and further understand the complexity of social issues. Recently, his work focuses on using Spatial Data to understand issues such as neighborhood effects, inequality, and mobility.

[ChrisZhang6888]

I would like to recommend Dr. Shilin Jia as potential speaker. I am particularly interested in his research on communist party’s rhetorical change during the country’s great economic transformation. I believe it would be intriguing to learn more about what models and the reasoning behind the research design.

[yuhanwang7]

David Melamed(https://sociology.osu.edu/people/melamed.9) I would like to suggest Professor Melamed from OSU talk about his study on how computational modeling can be helpful for understanding how social structure can influence individual outcomes. Further, as a professor in sociology, how to change the current understanding and the limitations of traditional sociology methodology and how some changes in academia can possibly change the limitation on larger scales.

[66Alexa]

Professor Jon Clindaniel

I'm really interested in Dr. Clindaniel's research on traditional archaeological theory and methods extension, hope to learn more about it.

[Pritam0705]

Dr. Kiran Garimella: His research focuses on understanding large-scale human behavior on social networks, polarization on social media, and misinformation. His current research focuses on developing privacy-preserving data collection tools for WhatsApp.

[CanaanCui]

I would love to hear from Ms. Clipperton about her research in agent-based modeling and complex systems. The resurgence phenomenon in society is intriguing, especially those on segregation.

[YutaoHeOVO]

Professor Susan Athey for her amazing work in machine-learning based causal inference including causal forest, semiparametric estimation etc.

[volt-1]

Dr. Mina Lee is currently a postdoctoral researcher in the Computational Social Science group at Microsoft Research and is slated to become an assistant professor in the Department of Computer Science at the University of Chicago in 2024. Her research focuses on understanding the impact of interactions with language models (LMs) on the writing processes and cognitive abilities. Specifically, she designs writing assistants with the aim of exploring the interaction between humans and LMs, evaluates LMs based on their ability to interact with humans, and improves LMs to augment human capabilities. Her work involves not just technical depth but also considerations on how to design and evaluate systems that interact with humans. Inviting her to speak in our workshop would offer the audience deep insights into how to leverage advanced language models in helping real-world problems.