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From Text to Map: A System Dynamics Bot for Constructing Causal Loop Diagrams
May 15 @ 11:00 am - 12:00 pm EDT
May, 15 at 11 am NY | 4 pm London | 11 pm Beijing | Time Converter
From Text to Map: A System Dynamics Bot for Constructing Causal Loop Diagrams
Join us to delve into the innovative System Dynamics Bot, a tool designed to automate causal loop diagram creation from text. Learn how it performs in converting text to maps, see practical examples, and understand the challenges and solutions in its development.
Learning Outcomes:
- Gain insight into the capabilities of large language models in system dynamics and model building.
- Understand the effectiveness of the System Dynamics Bot in identifying key relationships within textual data.
- Discover the challenges encountered and solutions implemented during the development of this tool.
This webinar is ideal for system dynamics practitioners, data analysts, and anyone interested in the intersection of artificial intelligence and model building. Sign up to explore how this technology can streamline your modeling processes and enhance your understanding of complex systems.
About the Presenters
Niyousha Hosseinichimeh has a PhD and a master’s degree in public administration and policy from State University of New York at Albany, and a bachelor’s degree in mechanical engineering from Sharif University, Iran. She is currently an assistant professor at the Department of Industrial and Systems Engineering at Virginia Tech. Her research focuses on developing and applying methods to improve health and healthcare systems. She uses simulation models to help stakeholders improve their understanding and decision making in complex dynamic systems. She has applied system dynamics approach to diverse health issues including infant mortality, mental health, and alcohol impaired driving among teens. Her methodological contributions include expanding calibration methods for dynamic models and developing techniques for system dynamics group model building. Her research has been funded by the National Institute of Health, National Science Foundation, Agency for Healthcare Research and Quality, Ohio State Department of Health, and Burroughs Wellcome Fund.
