SG Final Symposium
The Complexity of Social and Economic Systems: From Models to Measures
ETH Zurich, Main Building, Audi Max F30
31 October 2024 (Thursday) 09:00–16:00
Venue
ETH Zurich Main Building, Audi Max F30
Rämistrasse 101, 8092 ZürichLink to map
Synopsis
In October 2004, Frank Schweitzer established the Chair of Systems Design at ETH Zürich. This symposium celebrates the 20th anniversary of the Chair and also marks the final one under his leadership. Each of the three sessions exemplifies, pars pro toto, the success of the Chair’s interdisciplinary approach.
Invited speakers and former collaborators will provide an overview of their motivations, achievements, and ongoing research questions. They will demonstrate that the diverse topics explored at the Chair over the past 20 years share a common methodological foundation in network science, agent-based modeling, system dynamics, and data science.
Thus, the complexity of social and economic systems can be effectively addressed by an interdisciplinary team equipped with the right spirit, skills, and leadership.
Registration
Participation is free of charge but registration is required: Register here
For the Farewell Lecture of Frank Schweitzer no registration is needed.
Organisation
- Prof. David Garcia, Department of Politics and Public Administration, University of Konstanz
- Prof. Ingo Scholtes, Center for Artificial Intelligence and Data Science, Universität of Würzburg
Download Program with Abstracts (PDF)
Program
Thursday, October 31
Ingo Scholtes
Welcome and Introduction
Center for Artificial Intelligence and Data Science, Universität of Würzburg
October 31, 2024 | 09:00–09:30
Session
Coordination, Collaboration and Success
October 31
09:30 – 11:00
Marton Karsai
Memory, Causality and Their Consequences in Temporal Networks
Department of Network and Data Science, Central European University Vienna (Austria)
See Abstract
October 31, 2024 | 09:30–10:00
Christoph Gote
Decoding Collaboration: Predicting and Optimising Software Development through Networks
Axpo Group
See Abstract
October 31, 2024 | 10:00–10:20
Giacomo Vaccario
Knowledge in socio-economic systems: Insights from collaboration, mobility, and data-driven models
ETH Zürich
See Abstract
October 31, 2024 | 10:20–10:40
Ingo Scholtes
What makes teams successful? A Network Science Perspective
Center for Artificial Intelligence and Data Science, Universität of Würzburg
See Abstract
October 31, 2024 | 10:40–11:00
☕️ Coffee Break 🥐
11:00–11:30Session
Dependency, Risk and Resilience
October 31
11:30 – 13:00
Mauro Napoletano
Extreme Events in Micro- and Macroeconomic Dynamics: Theory and Empirical Evidence
Université Côte d’Azur, Sophia-Antipolis (France)
See Abstract
October 31, 2024 | 11:30–12:00
Rebekka Burkholz
Cascade Processes for Sparse Machine Learning
CISPA Helmholtz Center for Information Security, Saarbrücken (Germany)
See Abstract
October 31, 2024 | 12:00–12:20
Stefano Battiston
Climate change and financial risk
University of Zurich and Ca Foscari of Venice
See Abstract
October 31, 2024 | 12:20–12:40
Giona Casiraghi
Quantifying Resilience in Complex Systems: From Robustness to Adaptivity
Chair of Systems Design, ETH Zürich
See Abstract
October 31, 2024 | 12:40–13:00
Lunch Break
13:00–14:30mtec-SG-all
Making of the Chair
October 31, 2024 | 14:00–14:30
Session
Emotions, Opinions and Polarization
October 31
14:30 – 16:00
Andreas Flache
The Complexity of Social Polarization: Connecting Individual Opinions and Societal Dynamics with Agent-Based Models and Experiments
Department of Sociology, University of Groningen, NL
See Abstract
October 31, 2024 | 14:30–15:00
Jan Lorenz
Opinion Distributions in the Real World
School of Business, Social and Decision Sciences, Constructor University Bremen (Germany)
See Abstract
October 31, 2024 | 15:00–15:20
Laurence Brandenberger
The Rise of Extremes: Tracing the Surge in Swiss Political Polarization
Professorship for Political Methodology, University of Zurich (Switzerland)
See Abstract
October 31, 2024 | 15:20–15:40
David Garcia
Online emotions and how to measure them
Computational Social Science Lab, University of Konstanz
See Abstract
October 31, 2024 | 15:40–16:00
David Garcia
Closing Remarks
Computational Social Science Lab, University of Konstanz
October 31, 2024 | 16:00–16:10
☕️ Coffee Break 🥐
16:10–16:30Session
Abschiedsvorlesung Prof. Frank Schweitzer
October 31
17:00 – 18:30