Kimberly Rogers

Conference--Modeling Social Interactions: New Directions in Affect Control Theory

June 22-24, 2017 • Dartmouth College • Hanover, New Hampshire

Affect control theory (ACT) examines how sentiment norms – our culturally shared meanings for particular types of actors, behaviors, emotions, and social settings – organize social life and direct us toward a mutual interpretive framework for interaction.  To find out more about this conference content and schedule, read here.

Experiencing Intersectionality and Inequality in "Introductory Sociology"

Developing their skill at perspective-taking, along with building students’ “sociological imaginations,” a concept described by 20th century sociologist C. Wright Mills, are two of the main objectives of "Introductory Sociology." Along with in-class games and weekly reflections, assignments in Kim Rogers' course ask students to investigate areas where their personal identities overlap with social dynamics.  Read the full story about "Doing Sociology" here.

American Sociological Association Publication Award#2

Dartmouth College Assistant Professor Kimberly Rogers, along with colleagues Tobias Schröder and Jesse Hoey, is receiving a second award (the Outstanding Recent Contribution in Social Psychology Award from the Social Psychology Section of the American Sociological Association) for the following paper:

Schröder, Tobias, Jesse Hoey, and Kimberly B. Rogers. 2016. "Modeling Dynamic Identities and Uncertainty in Social Interactions Bayesian Affect Control Theory." American Sociological Review 81 (4): 828-855.

The paper is also the 2017 recipient of the Mathematical Sociolgy Section Outstanding Article Publication Award.

American Sociological Association Publication Award

Dartmouth College Assistant Professor Kimberly Rogers, along with colleagues Tobias Schröder and Jesse Hoey, is being honored at the Montreal American Sociological Association meetings for the paper:

Schröder, Tobias, Jesse Hoey, and Kimberly B. Rogers. 2016. "Modeling Dynamic Identities and Uncertainty in Social Interactions Bayesian Affect Control Theory." American Sociological Review 81 (4): 828-855.

The paper is the 2017 recipient of the Mathematical Sociolgy Section Outstanding Article Publication Award.

Read the full article here.

 

Winner of International Research Competition

Assistant Professor Kimberly Rogers has been awarded a three-year grant from the National Science Foundation, as part of the Trans-Atlantic Platform’s Digging into Data Challenge.

The project, entitled "Theoretical and Empirical Modeling of Identity and Sentiments in Collaborative Groups," will provide new theoretical insights into the dynamics of self-organized collaborations, in which people come together to work on a common problem without prompting by a third party. A theoretically-grounded computational model of small group interactions will be used to explore the mechanisms that motivate self-organized collaborations and determine their likelihood of success or failure, focusing on the example of open-source software development in online collaborative networks like GitHub. The project is sponsored by four funding agencies spanning the United States (NSF; PI: Kimberly B. Rogers, $174,748 USD), Canada (SSHRC, NSERC; PI: Jesse Hoey, $199,504 CDN), and Germany (DFG; PI: Tobias Schroder, €295,951 EUR).

“Modeling Identity Dynamics and Uncertainty in Social Interactions”

Assistant Professor Kimberly Rogers was awarded a CompX grant from the Neukom Institute for her project “Modeling Identity Dynamics and Uncertainty in Social Interactions: Bayesian Affect Control Theory.” CompX grants support the development of novel computational techniques and the application of computational methods to research across the campus and professional schools.             

The award will support the development of simulation and visualization software powered by BayesACT, a theoretically-grounded computational model of social interaction dynamics. The software will enable a host of empirical validation studies, by allowing users to generate precise, testable mathematical predictions about interaction.

The full list of funded projects can be seen here.