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

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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. At the SocSimFesT 2021, we continue and deepen the discussions on established practices and potential developments in the field .
Our workshop consists of three parts: we will start with an inspirational talk, continue with showcases of Games and ABMs, and end with a discussion around actions to be taken to develop the field. Participants will be asked to fill in a short questionnaire before the workshop.

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

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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 longitudional, 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 by a 15 minute presentation on a historical case study where ABM has been used, with some key challenges raised. There will then be a breakout room session of 20 minutes, where these challenges with potential solutions will be discussed.

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

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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

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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

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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.