TUESDAY, 17 May
Day 3 – TUESDAY, May, 17
9:30 – 11:00
Experimental ABM, let’s talk about it
By Dino Carpentras, University of Limerick, Ireland
Daniela Cialfi, University of Studies Gabriele d’Annunzio Chieti-Pescara, Italy
This session is organized by the newborn Special Interest Group on Experimental ABM. The main focus is to discuss with both the members and other interested participants about the role of experiments and empirical data in ABM. To keep the discussion flowing, the session will be divided into 3 parts (each one during ~30 minutes). Each part would focus on a specific topic and will be introduced by a 5/10 mins presentation. The three main discussion topics will be 1. The current state of the experimental literature in ABM. 2. The standards, highlighting possible commonalities and differences with other experimental fields. 3. Future directions, focusing on what can be done to promote more experimental work in ABM.
09:30 – 10:00 Experiments in the literature
10:00 – 10:30 Standards for experiments in ABM
10:30 – 11:00 Further development
11:00 – 11:15
11:15 - 12:45
Interactive Team Cognition: Analysis of successful team decision processes
By Denise Lopez, University of Europe for Applied Sciences, Germany
Iris Lorscheid, University of Europe for Applied Sciences, Germany
Teamwork dynamics can be found in all areas of industries and activities making them impactful practices that we interact with routinely. The debates that come out of team discussions hold details of information on interaction dynamics that may give us answer to “what elements in the interaction process contribute to a successful team”. Our research aim is to move toward a better understanding of team outcomes by examining group decision processes using a mix methods approach. This workshop will demonstrate the laboratory group observation portion of the approach and we will discuss what is extracted from the activities performed. Additionally, the simulation model based on this group discussion process will be presented and discussed. Our workshop is an opportunity for participants to experience our research live and interactive, while giving us the chance to discuss extensively our approach, contribution, and limitations with experts in the field.
11:15 – 11:30 Introduction
11:30 – 11:40 Explanation of the game
11:40 – 12:10 Play the game
12:10 – 12:20 Discussion of the results
12:20 – 12:35 Bring it back to the research
12:35 – 12:45 Questions and feedback.
12.45 – 13:30
13.30 - 15:00
Challenges of applying social simulation for policy making
By Fabian Lorig, Malmö University, Sweden
Paul Davidsson, Malmö University, Sweden
Loïs Vanhée, Umeå University, Sweden
Frank Dignum, Umeå University, Sweden
The Covid-19 crisis demonstrated the potential value of social simulations for policy makers but also highlighted the challenges arising from using simulations for the purpose of supporting decision-making. The goal of this workshop is to provide a platform for the exchange of experiences with using ABSS for policy making as well as to discuss how ABSS needs to evolve and what tools need to be developed to provide more adequate support for decision makers. Prior to the workshop, we would like to invite all participants to report on their experiences in applying ABSS for policy making and how they believe the optimal support should look like. We also want to give all those that reply to the call for answers the opportunity to hold a short statement at the workshop.
After your registration for this workshop, please answer the questions that can be found here: https://forms.gle/hbnU1VYuMSE8f88PA
13:30 – 13:40 Welcome + Framing of the workshop
13:40 – 14:00 Statements of participants
14:00 – 14:45 Group discussion: What is failing in application of ABSS for policy making? What actions are required and how can we achieve this? (Discussion of successful/unsuccessful experiences of ABSS application and how it needs to evolve to facilitate use in policy making)
14:45 – 15:00 Summary of discussion and next steps
15:15 - 16:45
INSPIRATION TALK: Justified stories as one role for models in policy decisions
By Jennifer Badham, University of Durham, UK
I will be talking about JuSt-Social, a model developed to support local planners in North East England in the first year of the COVID-19 pandemic. The model supports decision making by projecting plausible responses to policy interventions such as social distancing. The presentation focuses on the changing relationship between policy, model and data as the epidemic developed, and the role of models as a tool for thinking.