Our Next Events

The 34th Annual International SCTPLS Conference will be hosted by the University of Cincinnati, (Cincinnati, Ohio, USA) August 1-2, 2024. The Call for Abstracts is ready now, and the due date for conference abstracts – speaking presentations, posters, and symposia – is May 15, 2024.

The pre-conference workshop will be a Nonlinear Datapalooza, same location, on July 31. There will be an informal reception on July 30. Participants will bring data, analytic and topical expertise, and work together to make meaningful progress on the topics of their choice. For more information, see the workshop page on the 2024 conference web area.

International Nonlinear Science Conference
In our further efforts to reach more nonlinear scientists worldwide, SCTPLS sponsors the International Nonlinear Science Conference series, which has taken us to Austria, Greece, Italy, Japan, The Netherlands, and Spain so far. The scope and size of the INSCs are similar to those of the annual conference, with prominent keynote speakers, symposia, individual sessions, and poster presentations.
Scenes from the 2018 Annual Conference, Raleigh, NC.
Abstracts to Previous Annual Conferences
Abstracts to Previous INSCs

Annual International Conference, USA
The Annual Conference for the Society for Chaos Theory in Psychology and Life Sciences is the premier venue for training, networking, and sharing the latest empirical and applied developments in nonlinear dynamics across psychology, the life sciences and beyond. Since 1991, the Society and its conferences have been founded in the principles of interdisciplinary work, acknowledging the ubiquity of nonlinear dynamics across the behavioral, social, and life sciences.

The conference is typically intimate in size with around 60-70 attendees representing psychology, biology, economics, business, physics, mathematics, and other scholars organized around a common interest in nonlinear dynamics. Attendance is typically broad geographically as well, with membership in SCTPLS representing each of the global continents. The program includes prominent keynote speakers, cutting-edge pre-conference workshops, symposia, individual sessions, and poster presentations.

Members attending the Annual Conference are all welcome to particpate in the SCTPLS business meeting that is scheduled as part of the conference.

Nonlinear Datapalooza
Most conferences are designed for presentations of completed or in process scientific or technical work. The goals for attending are for dissemination, citation, and critical feedback on a presenter,s work. Secondary goals are networking to build colleagues with different skillsets or from different disciplines, exploring new methods, and coming up with new and creative avenues to explore. Traditional conferences are hierarchical, with experts presenting keynote talks and workshops in a didactic format.

The Nonlinear Datapalooza turns this process upside-down: no hierarchy, no finished work, and no boundaries to forming new collaborations and learning new methods. As the name suggests - the Nonlinear Datapalooza is all about getting together to analyze data. Who will be attending: (A) methods experts to obtain new data sets to analyze (B) people with data sets who would like to learn new approaches to analysis and (C) content experts and students who want to learn new methods and contribute as co-authors on more high quality publications. Essentially - the conference will match people who would like to write up "methods" and "results" with those who would like to write up "introductions" and "discussions." In the process, methodologists will learn about other disciplines and further validate their tools, while content experts and students will learn how to apply new methodologies to their work. Each attendee should be able to try out at least one new method and become an author on at least one original publication produced during the conference. At the same time, the work produced should make a serious impact on the field of nonlinear science, as we produce multiple papers with the potential to combine different methodologies.