MONDAY, 15 March
Day 1 – Monday March, 15 (CET)
9:30 – 11:00
INSPIRATION
By Jason Thompson, The University of Melbourne
‘Be careful what you wish for – The highs and lows of modeling controversial public policy’
11.00 – 11:15
Break
TRACK ONE
Social Simulation and Games
Timo Szczepanska, UiT The Arctic University of Norway, Norway
Melania Borit, UiT The Arctic University of Norway, Norway
Harko Verhagen, Stockholm University, Sweden
11:15 – 12:45
The 2nd Workshop on Games and Agent-Based Modelling – Realizing Synergies by the ESSA SIG Games and Social Simulation provides an interactive environment for a diverse community of researchers to connect and exchange experiences of mixing Games and ABM. The program is as follows:
11:15-11:50 Diana Adamatti (Federal University of Rio Grande, Brazil), Multiagent Systems and Role-Playing in Games Natural Resource Management
11:50-12:00 Asli Mutlu (University of Twente, the Netherlands), Games as an inspiration for behavioral rules in an agent-based model of nature-based solutions for flood adaptation
12:00-12:10 Juan Ocampo (Lund University, Sweden), Struggling merchants – A game about Complementary Currencies
12:10-12:40 Andreas Angourakis (University of Cambridge, UK), Gaming Artificial Anasazi. Transforming an agent-based model in archaeology into immersive gameplay experiences
TRACK TWO
ABM for Historical Studies
Amineh Ghorbani, Delft University of Technology, the Netherlands
Molood Ale Ebrahim, Delft University of Technology, the Netherlands
Giangiacomo Bravo, Linnaeus University, Sweden
Tine de Moor, Rotterdam School of Management, the Netherlands
11:15 – 12:45
The goal of this session is to discuss how ABM can best be used in historical studies for hypothesis testing and theory development, what the key challenges are and how they can potentially be remedied. The session shares experiences gained from the MIDI project and invites experts in using longitudinal, quantitative and qualitative data, as well as those having experiences with hypothesis/theory testing to share their experiences that can contribute to this domain. The session will start with two short presentation on models that use historical data, with some key challenges raised. There will then be a plenary session between Giangiacomo Bravo and Tine de Moor (professor of history), debating the usefulness of ABM for historical studies. As the outcome of this session, we hope to publish an opinion paper on the usefulness of ABM in the field of History in related journals.
12:45– 13:30
Lunch break
TRACK ONE
6th Workshop on Integrating Qualitative and Quantitative Evidence using Social Simulation.
Melania Borit, UiT The Arctic University of Norway, Norway
Bruce Edmonds, Manchester Metropolitan University, UK
Martin Neumann, Johannes Gutenberg University of Mainz, Germany
13:30 – 15:00
Agent-based simulation can be related to qualitative as well as quantitative data. However using qualitative data can seem daunting, partly because there are no established methods for doing this. The goal of this session is to continue the discussion on methods for integrating qualitative and quantitative data in agent-based models, focusing on facilitating exploration of topics of interest elicited from the community. The session will include: a plenary discussion between a qualitative researcher and an agent based modeller (followed by Q&A), break-out rooms on pre-defined topics, plenary summing up, and a plenary fishbowl discussion.
TRACK TWO
Social Influence Modeling in Python Using defSim (tutorial)
Marijn Keijzer
Dieko Bakker
Anton Laukemper
13:30 – 15:00
Understanding opinion dynamics and the mechanisms behind opinion formation has been a major challenge in a multitude of scientific domains. Fear of increasingly polarized political climates has driven significant public and scientific interest in this topic. The novel modeling software defSim offers a framework for a unified representation of agent-based models on opinion dynamics, greatly facilitating replication, comparison and further development of existing models for a broader scientific community. In this tutorial, the participants receive a thorough introduction into the software, and hands-on experience with modeling of social influence processes. Upon completion, participants will be able to use defSim in their own research or teaching.
15.00 – 15:15
Break
TRACK ONE
6th Workshop on Integrating Qualitative and Quantitative Evidence using Social Simulation.
Melania Borit, UiT The Arctic University of Norway, Norway
Bruce Edmonds, Manchester Metropolitan University, UK
Martin Neumann, Johannes Gutenberg University of Mainz, Germany
15.15 – 16:45
Agent-based simulation can be related to qualitative as well as quantitative data. However using qualitative data can seem daunting, partly because there are no established methods for doing this. The goal of this session is to continue the discussion on methods for integrating qualitative and quantitative data in agent-based models, focusing on facilitating exploration of topics of interest elicited from the community. The session will include: a plenary discussion between a qualitative researcher and an agent based modeller (followed by Q&A), break-out rooms on pre-defined topics, plenary summing up, and a plenary fishbowl discussion.
TRACK TWO
Social Influence Modeling in Python Using defSim (tutorial)
Marijn Keijzer
Dieko Bakker
Anton Laukemper
15.15 – 16:45
Understanding opinion dynamics and the mechanisms behind opinion formation has been a major challenge in a multitude of scientific domains. Fear of increasingly polarized political climates has driven significant public and scientific interest in this topic. The novel modeling software defSim offers a framework for a unified representation of agent-based models on opinion dynamics, greatly facilitating replication, comparison and further development of existing models for a broader scientific community. In this tutorial, the participants receive a thorough introduction into the software, and hands-on experience with modeling of social influence processes. Upon completion, participants will be able to use defSim in their own research or teaching.