Center for the Dynamics of Cultural Complexity (DySoC)
DySoC focuses on computational study of the evolution of knowledge, innovation and society. DySoC members and affiliates use methods of computational social science, cultural evolution, social psychology, anthropology, artificial intelligence and information science.
DySoC brings together researchers, students, and international collaborators to explore the frontiers of computational social science, cultural evolution, and the dynamics of scientific change.
Webinars featuring international speakers are scheduled for Spring 2025, followed by a full schedule of seminars and workshops in the 2025-2026 academic year.
Overview
DySoC unites members, students, and international collaborators under three primary research themes:
Computational Social Science: This theme focuses on identifying coherent patterns in complex, large-scale human behavioral data. In highly interconnected domains such as public health, socio-economic change, and environmental challenges, computational approaches provide crucial insights. These societal challenges are rapidly evolving, characterized by ephemeral, indirect, conflicting, and interdependent evidence. DySoC’s research in this area aims to develop tools and frameworks to better understand and respond to these dynamic changes.
Cultural Evolution: This field examines the co-evolution of human cognition, culture, and societies. It seeks to uncover fundamental mechanisms of cooperation and conflict across time, from ancient civilizations to contemporary societies, and even the emerging influence of new technologies and media. DySoC’s research delves into these processes to gain a deeper understanding of social change across different eras.
The Social Complexity of Science: This theme explores how scientific innovation emerges within an ever-growing body of knowledge, extending into broader social networks and cultures. DySoC investigates how scientific knowledge flows across nations and institutions and how misinformation, particularly driven by AI, affects public trust in science, civic values, and global narratives.
Events
Spring 2025 Webinar Series: DySoC will kick off a series of webinars featuring internationally renowned speakers, sharing insights into social complexity, innovation, and data science. The webinars will be held on Thursdays at 12:00 PM Eastern Time. Confirmed speakers and dates include:
- February 13: Kate Starbird (University of Washington) – “Influence and improvisation: How right-wing media ‘works'”
- March 6, 2025: Dietrich Stout (Emory University) – “Evolutionary Neuroscience of Cultural Evolution”
- March 27: Mirta Galesic (Santa Fe Institute) – “Human social sensing for Computational Social Science”
- April 24: Russell Funk (University of Minnesota), on tracking Scientific Disruption
DySoC member talks (Thursday at 12:00 noon):
- February 27: Alex Bentley (University of Tennessee) – “Collaborators: How humans co-evolved with other life and technologies, with AI as our next partner.”
- Date TBA: Jiangen He (School of Information Science, University of Tennessee) – Dynamics of Scientific Publishing Networks
Seminars and Workshops (2025-2026 Academic Year) will offer on hands-on training in computational social science methods.
DySoC Journal Club: Our next journal club meeting will occur on Thursday, May 1, at the usual time and place: 2:45 PM, in Austin Peay 403.
At this particular meeting, we ask that each participant lay out the basic model of human behavior from the perspective of their discipline. This presentation can be as short as five minutes and can be relatively informal. For example, presentation slides are welcome but not required.
It is surprising how differently the social sciences approach human behavior. In psychology, for example, behavior is seen as the result of the interaction between internal factors (cognition, emotion, personality) and external factors like environment, culture, and other people. In anthropology, however, other people are central, with culture, history, and social underlying behavior in interaction with biology and environment. Philosophy often describes “human nature” in terms of ethics, logic, and reason. Sociology describes social structures that determine how behavior is learned, reinforced, and constrained by groups, institutions, norms, and power relations. Evolutionary science aims to explain and predict behavior in terms of the genetic and cultural evolutionary processes that have led to the relevant biological, cultural, societal and environmental structures. We will start with each participant’s statement about their discipline’s perspective and proceed to a discussion that explores how these disciplines complement and challenge each other, how their differences may be scale-dependent, and what a more unified approach might look like.
If you can attend, please RSVP to mlipatov@utk.edu and indicate if you can offer your discipline’s perspective at the meeting.
Questions? Please email Misha Lipatov: mlipatov@utk.edu
People
University of Tennessee – Knoxville
External
Simon Carrignon
University College London
Scholarship & Initiatives
Featured Publications
Bentley, R.A., Horne, B.D. (2025) Perceptible climate warming amplifies how education increases climate concern in the US. npj Climte Action 4: 12. https://doi.org/10.1038/s44168-025-00219-4
Plans are being developed to establish a recurring DySoc postdoctoral fellowship through a competitive application process.