From Simulation to Structure: Parameter Estimation in Agent-Based Models

The talk presents research at the intersection of complexity science, machine learning, knowledge representation and organisation, and economics. It focuses on computational modelling and network-based parameter estimation for agent models.

About Speaker:
Marcela Lopes Alves is a DPhil student in Computer Science and part of the Institute of New Economic Thinking (INET) at the University of Oxford. Her research explores complex systems, computational modelling, and network-based approaches for parameter estimation. This work connects machine learning, dynamic systems, and systems engineering with questions of knowledge representation and organisation, with a focus on how complexity theory can help understand economic systems.

About ISKO UK:
These events are brought to you by ISKO UK, a not-for-profit scientific and professional association dedicated to promoting the theory and practice of Knowledge Organization. To learn about membership benefits and how you can join, visit https://www.iskouk.org/join-us. If you want to support our work, please donate at https://www.iskouk.org/donate.

Logistics:
Please register with your Zoom account email using the registration link available when you RSVP. You will be asked to log into your Zoom account to attend the event.