The Systems Science Seminar Series covers a wide range of topics, providing an opportunity for presenters to share and attendees to become exposed to the latest research from different fields and disciplines. Agent-based simulation, artificial intelligence, artificial life, genetic algorithms, machine learning, neural networks, signal processing, social networks, system dynamics, and science itself are just a few of the many diverse topics that have been presented, all in an informal environment where questions and discussion are encouraged.
Unless otherwise specified, seminars are held on Fridays from 12-1 p.m. in Harder House Room 104 throughout Fall and Winter terms. For those taking the seminar for credit, grading is based on attendance, either in-person or remote.
CONTACT US: If you have questions, comments, or topic/speaker suggestions, or if you would like to present a seminar, please email Wayne Wakeland.
A list of previous seminar announcements and recordings can be found on our Seminar Archive page.
Given the growing trends towards decentralization and decarbonization of the power sector, there is an increasing need to understand how customers make energy decisions at a more granular level. This ...Read More
Framing Wicked Problems: Harnessing Collective Intelligence with Participatory Modeling and Fuzzy Cognitive Mapping
Wicked problems are issues facing human social systems that are persistent or reoccurring, have difficult-to-detect origins, complex networks of causation, and that respond to interventions by generating undesirable unintended consequences. ...Read More
Modeling Post-fire Successional Trajectories under Climate Change in Interior Alaska using Landis II
Shelby A. Weiss
Alaska boreal forest ecosystems are experiencing a greater frequency of wildfire relative to the region’s historic fire regime. These increases in fire frequency, as well as annual burned area, increase ...Read More
Realist evaluation, a theory-driven approach to program evaluation grounded in realist philosophy, is designed to address the question: What works for whom, to what extent, in what circumstances, and why? ...Read More
This talk will focus on preliminary results from Reconstructability Analysis (RA) models, Bayesian Network (BN) models, and standard linear regression to predict dynamics on the bulk electric grid. The best ...Read More
Reconstructability Analysis (RA) has been successfully used to analyze a myriad of different data types. At its core it relies on a row-based approach to data where each row represents ...Read More
Teresa D. Schmidt
We explore two statistical methods that infer social network structures and statistically test those structures for change over time: regression-based differential network analysis (R-DNA) and information theory-based differential network analysis ...Read More
Computational Social Science Society of Americas (CSSA) Conferences as a Venue for Publication and Outreach
I had the opportunity to present my work at CSS18 and CSS19 and was/am pleasantly surprised by its casual and stimulating ambience. The themes of this conference are highly aligned ...Read More
How can we improve the relationship between people and technology? Is society forever indentured to surveillance capitalists, consigned to behaving for the benefit of elite others? We think not, and ...Read More
Computing with ultra-simple, small, dynamical systems, such as Cellular Automata (CA), Random Boolean Networks (RBNs), or Reservoir Computers (RC) is appealing because such systems are in general ultra-low power and ...Read More
Using Large-Scale Meteorological Patterns to Better Understand Local-Scale Weather and Climate Extremes
High-impact weather and climate events such as temperature extremes, heavy rainfall, and lightning are all associated with numerous impacts on society and the environment. Furthermore, anthropogenic climate change is broadly ...Read More
This research addresses the quickest means of minimizing fossil fuel use and, thus, the existential threat of climate change due to the impact of greenhouse gas accumulation. The apparently simple ...Read More
A computational simulation model calculates recovery trajectories following traumatic brain injury (TBI). Prior publications include a multi-scale framework for studying concussion and a systems-level causal loop diagram (CLD) and discussion ...Read More
Obesity prevalence remains high and exhibits pronounced social patterning in the U.S., despite widespread intervention efforts. Complex individual, environmental, and intergenerational influences on obesity are difficult to study using traditional ...Read More
Fractal Dimension as Objective Function in a Genetic Algorithm for Application in Architectural Design
John Charles Driscoll
A major project is underway to develop a shared platform for data and analytics in a highly federated healthcare delivery organization. In the status quo data environment, analysts have integrated ...Read More
The fully connected world is quickly becoming a reality. Architects and developers of this new world must understand both the hardware and software basics of IoT and IIoT systems as ...Read More
For most people, a system is a construct with vexing complexities, many many parts, and perhaps wrapped with a goal or intention. Add to that simple construct a set of ...Read More