Programme

Clarice Pears Building School of Health & Wellbeing, University Of Glasgow, 90 Byres Rd, Glasgow G12 8TB

Day 1 

12:00-13:00 Lunch

ESSA@Work Room 102

Time

Speaker

Title

13:00 – 13:15

Christian Kammler

Introduction

13:15 – 13:45

Dehua Gao

Digital artifacts as the ‘template’ during the replication of routines across boundaries: Insights from a NK-based simulation model

13:45 – 13:55 

Break

13:55 – 14:25

Christa Blokhuis

Protein transition in a dynamic food environment: An agent-based model to simulate consumption practices at the community level

14:25 – 14:55

Hyesop Shin

Glasgow Low Emission Zone: Simulating the Change in Traffic Flow and the Following Health Outcomes

14:55 – 15:00 

Christian Kammler

Closing

The transformative potential of exascale computing for agent-based modelling Gary Polhill and Matt Hare Room 103

Imagine what you would do if you had a billion laptops you could use to experiment with your agent-based model. This is the kind of computing power that exascale (10^18 operations per second) computing offers. Simulation experiments that now take weeks – even on HPC clusters – could be over in fractions of a second. When working with stakeholders and policymakers, you could then have more creative and interactive discussions about the potential range of cascading consequences emerging from proposed interventions. This workshop, sponsored by the EPSRC (the UK’s Engineering and Physical Sciences Research Council) through the ‘ExAMPLER’ project, aims to co-construct ‘user stories’ of what we could achieve with agent-based modelling when supported by exascale computing, and the institutional changes, software and data we would also need.

15:00-15:30 Coffee

15:30-17:30 Workshop

Alternative models of the development of inequality Bruce Edmonds Room 103

Following a call for declarations of interest in this topic, over thirty researchers have declared an interest in this topic, most of them from the social simulation community. The idea is to expand the narratives concerning how inequality might come about, beyond the traditional ones from the left and right political wings. The socio-technical economy is extremely complex and thus we feel the debate needs to move beyond a simplistic brake-or-accelerator polarisation. We thus want to encourage a range of simulations that seek to represent the processes that can result in persistent, unequal outcomes. We are open to different kinds of inequality as well as different ways of measuring this (inequity, absolute poverty, capabilities approach etc. all included). At this stage we do not want responses to be too formalised, hence why we are asking for an informal half-day workshop rather than a formal session.

Day 2

9:00-10:30 Keynote Brian Castellani, Durham University

https://sacswebsite.blogspot.com/2023/09/how-to-escape-dilemmas-of-complex.html

Chair: Corinna Elsenbroich

Room 103

How to escape the dilemmas of complex systems modelling in public health: A users guide and map

The current literature is clear: there is an urgent need to apply a complex systems modelling approach to public health. What is less clear is how to do this effectively. Research and practice have shown mixed results, due to a series of dilemmas. A short list includes: a strong tendency to model public health issues instead of interrogating the development, implementation and evaluation of systems-level interventions; public health practitioners and funding organisations being biased toward simple, individual-level, short-term solutions based on clinical trials; modellers being tone deaf about the roadblocks to applying simulations to public health; the need to focus on stakeholder engagement; and an overemphasis on computational models over qualitative methods.Fortunately, a small but growing global network of scholars are charting new territory. They are part of a fresh turn in complexity and modelling, the social science turn, which fosters a transdisciplinary, social complexity imagination that, in one way or another, addresses the field’s current dilemmas to create new areas of disruptive and highly innovative social inquiry.The Atlas of social complexity – written with Lasse Gerrits, forthcoming 2024 Edward Elgar – charts this new territory, seeking to map its present future; which we do by outlining a set of ‘best practices’ (with examples of scholars doing this work) for applying social complexity to public health modelling. These include: (1) challenging social physics and reductionism, (2) rethinking complex causality and system dynamics, (3) emphasising co-creation and context, (4) understanding real-world policy making, (5) modelling at multiple levels and with multiple models, (6) developing interdisciplinary methods and using qualitative data, (7) grounding models in rigorous social science, and (8) accepting the limits of what modelling can do. 

10:30-11:00 Coffee

11-13:00 Parallel Sessions

Special Track - Qual2 Rule Room 103

23 Melania Borit, Christopher Frantz and Ruth Meyer Methods for using qualitative data to inform behavioural rules in Agent-Based Modelling: Preliminary results of a Systematic Literature Review SSC2023_paper_23

105 Frithjof Stöppler How abstracts concepts come alive: modelling network path dependence with qualitative data SSC2023_paper_105

102 Nanda Wijermans, Eva Vriens and Giulia Andrighetto Heterogeneous agent decision-making – an empirically informed approach to behavioural types SSC2023_paper_102

86 Lidia Mayangsari, Bhakti S. Onggo and Konstantinos V. Katsikopoulos Simple Heuristics as Mental Model for Staple Food Choice: An ABM Exercise SSC2023_paper_86

48 Michelle Alfers and Paola D’Orazio Modeling the Impact of Social and Behavioral Factors on the Spread of Infectious Diseases in a Macro-Financial Agent-Based Model: a Methodological Proposal SSC2023_paper_48

96 Jose Padilla and Erika Frydenlund Referencer: A Collaborative Online Space for Multidisciplinary Modeling SSC2023_paper_96

110 Rajith Vidanaarachchi, Sangeetha Chandrashekeran, Melissa Kennedy, Jason Thompson and Saman Halgamuge Synthesising an ABM Population Representative of an Indigenous Population: Modelling Science Meets Indigenous Knowledge and Lives SSC2023_paper_110

General Track Room 102 Chair: Nicolas Payette

38 Wander Jager and Shaoni Wang Simulations as a Dialogue Tool: Strengthening Community Engagement and Local Democratic Processes SSC2023_paper_38 

46 Petra Ahrweiler, Nigel Gilbert, Martha Bicket, Albert Sabater Coll, Blanca Luque Capellas, David Wurster, Jesús Siqueiros Garcia and Elisabeth Späth Gamification and Simulation for Innovation SSC2023_paper_46

89 Alexander Melchior, Frank Dignum and Pinar Yolum Policy Development for Societal Challenges: The Collaborative Agent Based Modelling Policy Framework SSC2023_paper_89

72 Branislava Godic, Rajith Vidanaarachchi, Jason Thompson, Victoria Farrar, Leon Booth and Simone Pettigrew Visual Agent-Based Model Communication using Storyboards in Public Health: A case study using the potential effect of Autonomous Vehicles on Physical Activity SSC2023_paper_72

39 Kanako Shibata and Toshiyuki Ogawa Locality enhances consensus in opinion dynamics SSC2023_paper_39

56 Gary Polhill, Benjamin McCormick, Nick Roxburgh, Samuel Assefa and Keith Matthews A ‘Theory of the Middle Range’ to Support Food Security and Circular Economy Value Chain Scenario Analysis SSC2023_paper_56 

11 Bernardo Alves Furtado and Vanessa Nadalin Policy comparisons and causality in an agent-based model SSC2023_paper_11

13:00-14:00 Lunch

14-15:30 Parallel Sessions

Special Track - Transcending Complexity through Agent-Based Modeling in Management, Organization, and Economic Sciences Room 103

28 Eduardo Ferraciolli Agent-based Modeling and the Sociology of Money: a Framework for the Study of Coordination and Plurality SSC2023_paper_28

90 Siamak Khatami and Christopher Frantz Income vs. Demand: Exploring Dynamics of Poverty Lines using Agent-based Modeling SSC2023_paper_90  

26 John Stevenson Local Sharing and Sociality Effects on Wealth Inequality in a Simple Artifical Society SSC2023_paper_26

24 Ali Banihashemi, Stephan Leitner, Alexandra Rausch and Gernot Mödritscher A comparative analysis of open and closed strategy-making: A simulation study SSC2023_paper_24

General Track Room 102 Chair: Riccardo Collasanti

101 Yiyu Wang, Jiaqi Ge and Alexis Comber Navigation in Complex Space: a Bayesian Nash Equilibrium-Informed Agent-Based Model SSC2023_paper_101 

44 Doug Salt, Gary Polhill, Corran Musk, Lorenzo Milazzo, Dawn Parker and Kit Macleod Towards automated provenance collection for experimental runs of agent-based models SSC2023_paper_44

103 Nicolas Payette The curse of possibilities SSC2023_paper_103 

117 Corinna Elsenbroich, Harko Verhagen and Nanda Wijermans Agent Decision-Making Heterogeneity – Agent (Meta)Frameworks for Agent-Based Modelling SSC2023_paper_117

74 Liz Verbeek, Tatiana Filatova, Amineh Ghorbani, Igor Nikolic and Martijn Warnier Agent-based Building Blocks Architecture (ABBA): How software engineering can help computational social science models  SSC2023_paper_74 

16-17:30 Parallel Sessions

Special Track - Transcending Complexity through Agent-Based Modeling in Management, Organization, and Economic Sciences Room 103

31 Dehua Gao Digital artifacts as the ‘template’ during the replication of routines across boundaries: Insights from a NK-based simulation model SSC2023_paper_31

97 Claudia Estevez-Mujica Networks and people (in)efficiency SSC2023_paper_97

18 Cesar Garcia-Diaz The impact of cognitive diversity on networked search and coordination 

6 Stephan Leitner Building resilient organizations: The roles of top-down vs. bottom-up organizing SSC2023_paper_6 

General Track Room 102 Chair: Rok Novak

7 Elizabeth Hunter and John D. Kelleher Estimating Population Burden of Stroke with an Agent-Based Model SSC2023_paper_7

49 Hyesop Shin and Eric Silverman Glasgow Low Emission Zone: Simulating the Change in Traffic Flow and the Following Health Outcomes SSC2023_paper_49 

52 Ryan Allcock and Peer-Olaf Siebers Crowd Health Encoding, for Crowd Simulations Using the Smoothed Particle Hydrodynamics Computational Method application SSC2023_paper_52 

20 Anthony Favier, Phani-Teja Singamaneni and Rachid Alami Human Simulation to Challenge Human-Aware Robot Navigation SSC2023_paper_20 

37 Przemyslaw Szufel Agent-based simulation of autonomous intelligent vehicle fleet in urban networks SSC2023_paper_37

17:30-18:30 Keynote Scott Moss, Founding President of ESSA

Moss – keynote

Chair: Harko Verhagen

Room 103

Agent-Based Social Simulation and Modelling: Cui Bono?

Cui bono = who benefits?  And who do we want to benefit from agent-based social simulation modelling?  My keynote talk will explore how agent-based social simulation modelling has developed in the 40 years since I produced my first published model.  I will use a few examples to show why I believe that the beneficiaries of our work are almost always just ourselves.  I will explain why I think this has happened.  I will argue that you — the following generations of modellers — should and can benefit society more widely.  You could have an important and positive impact on social policy and private enterprise.  I will describe how you might do that.  I will also recognise the pressures on you not  to pursue a wider social benefit.

18:30 Welcome Reception & Poster Session The Arc

Posters

12 Wenhan Feng Modeling Response to Urban Planning (MRUP): From GIS and ABM to Planning Support System SSC2023_paper_12   

14 Sinead Madden Modifying the Bass System Dynamic & Rodgers Agent Based diffusion of innovation models to explore the adaption of industrial hemp cultivation in Ireland. SSC2023_paper_14

15 Sinead Madden An Irish, a Scot & an English agent walked into a bar: ChatGPT stayed @ home & adapted the El Farol model to know why? SSC2023_paper_15  

27 Ryu Koide, Haruhisa Yamamoto, Keisuke Nansai and Shinsuke Murakami Empirically-grounded agent-based simulation of circular economy: Exploring scenarios towards sustainability 

36 Doug Salt and Gary Polhill Four Netlogo extensions: publicly available Netlogo extensions that provide a case-base reasoning framework, table look up with categorical variables,  precision mathematics and virtual machine inspection 

41 Lukas Schubotz, Emile Chappin and Geeske Scholz Beyond the Horizon: Empirical Exploration of Opinion Dynamics via Inverse Modelling SSC2023_paper_41

78 Samuel Assefa, Tony Craig, Alice Hague, Kathryn Colley, Jianyu Chen and Gary Polhill Using agent-based modelling to explore circular economy behaviours in Scotland SSC2023_paper_78

81 Łukasz Kiszkiel, Konrad Talmont-Kaminski, Pawel Sowa and Karol Kaminski Modeling social factors of lifestyle diseases for effective intervention policies 

82 Joos Akkerman and Tatiana Filatova Climate Change Adaptation and Economic Tipping Points SSC2023_paper_82

93 Siamak Khatami and Christopher Frantz Correlation Pattern Recognizer (Copatrec): Automating Nonlinear Model Selection from Data SSC2023_paper_93

95 Daniel Torren, Ivan Savin and Jeroen van den Bergh The cultural multiplier of climate policy 

108 Paulina Rosero, Gert Jan Hofstede, Erika Speelman, Francisco Cuesta, Annah Zhu and Mark Kramer Modeling Artificial Sociality: The influence of social relations on farmers’ land-use decisions in tropical forests SSC2023_paper_108

109 Ernesto Lhuillier Youth and New Media: A Develecology Agent-Based approach to U.S. Comics History (ca. 1890-1960) SSC2023_paper_109

112 Peter Steiglechner, Agostino Merico, Marijn Keijzer and Paul Smaldino The differential effects of different types of noise on opinion formation 

115 Ewout ter Hoeven, Kaveri Iychettira, Sara Constantino and Tatiana Filatova Uncertain Futures: Using an ABM to Understand the Dynamics of Inequality Under Climate Change in Southern India SSC2023_paper_115

25 Leila Niamir Assessing demand-side mitigation strategies in Vienna 

5 Aishwarya Iyer, Ashwini M V., Ahana Lahiri and Amrutha D S. Using Knowledge-based Media Frames to Drive Civic Engagement through Climate Change Memes SSC2023_paper_5

113 Gary Polhill, Alison Heppenstall, Mike Batty, Matt Hare, Doug Salt and Richard Milton Exascale agent-based modelling for policy evaluation in real-time (ExAMPLER) SSC2023_paper_113

75 Marius Kaffai Improving contact tracing by prioritizing influential spreaders identified by socio-demographic characteristics SSC2023_paper_75

 

Day 3

9-10:30 Keynote Tatiana Filatova, Delft University of Technology

Chair: Alison Heppenstall

Room 103

Computational models of adaptive human behaviour and social institutions for exploring responses to climate change

Worldwide climate change exacerbates risks of flooding, droughts, heatwaves and wild forest fires. The recognition of the crucial role of human actors in altering risks and socio-economic resilience drives a proliferation of computational models that include societal dynamics. Yet, replacing a representative rational actor dominant in climate policy models with a variety of behaviorally-rich agents that interact, learn and adapt is not straightforward. While computational agent-based models add value to exploring dynamic responses to climate change risks, the specifics of unprecedented adaptation we are to face open new methodological frontiers. This talk focuses on the role of behavioral biases, individual decisions under risk and social institutions in shaping patterns of risks and in adapting to the changing climate. I present examples of agent-based models – from simplistic to empirically-grounded – to explore cumulative impacts of dynamic boundedly-rational individual choices and of evolving social institutions. The talk concludes with discussing the outstanding methodological challenges and the upcoming open access community platform for sharing reusable building blocks for complex systems models.

 

10:30-11:00 Coffee

11-13:00 Parallel Session.

Special Track - Creating useful models for public health decision-making Room 103

45 Fabrizio Pecoraro, Filippo Accordino, Federico Cecconi and Mario Paolucci ABM for simulating the access to elective surgery services: the issue of patient mobility in Italy  SSC2023_paper_45

62 Umberto Gostoli, Martin Hinsch and Eric Silverman Growing populations from the `bottom-up’: an ABM approach to the generation of synthetic populations SSC2023_paper_62

61 Edmund Chattoe-Brown Reculer Pour Mieux Sauter: Resurrecting an ABM of Household Budgeting and Applying It to Deteriorating Economic Conditions SSC2023_paper_61

85 Vittorio Nespeca, Vitor V. Vasconcelos, Rick Quax and Marcel Olde Rikkert A conceptual and procedural multi-model development framework to inform multi-domain policies: the case of school closures in the Netherlands. SSC2023_paper_85

67 Martin Hinsch, Eric Silverman and David Robertson Whole-system pandemic modelling including pathogen evolution SSC2023_paper_67

87 Heeseo Kwon and Mathy Sannasi Conceptualising the Recursive Relationship among Urban Development, Physical Activity, and Health Using Agent-based Modelling SSC2023_paper_87

Special Track - Sense and Sensibility Room 102

73 Maarten Jensen, Loïs Vanhée and Frank Dignum Context-Sensitive Deliberation for Scalability in Realistic Social Simulations SSC2023_paper_73  

100 Mariusz Rybnik, Ivan Puga-Gonzalez, Leron Shults, Ewa Dąbrowska-Prokopowska, Andrew Atkinson and Konrad Talmont-Kamiński Superstition in the cognitive model: Modelling ritualised behaviour as error management SSC2023_paper_100

2 Friederike Wall Aspirations Levels in Agent-based Models of  Decision-Making in Organizational Contexts SSC2023_paper_2

8 Jonas Stein, Vincenz Frey and Andreas Flache Talk less to strangers: how homophily can improve collective decision-making in diverse teams SSC2023_paper_8

66 Louise Dupuis de Tarlé, Gabriella Pigozzi and Juliette Rouchier Exploring Opinion Diversity and Epistemic Success with an Argumentative Model SSC2023_paper_66 

17 Ivan Puga-Gonzalez, F. Leron Shults, Konrad Talmont-Kaminski and Ross Gore The Rise and Fall of Religion: A Model-Based Exploration of Secularisation, Security and Prosociality SSC2023_paper_17

13:00-14:00 Lunch

14-15:30 Parallel Sessions

General Track Room 103 Chair: Nick Gotts

 47 Rajith Vidanaarachchi, Branislava Godic, Jason Thompson, Victoria Farrar, Leon Booth and Simone Pettigrew An Agent-Based Model based on the Theory of Planned Behaviour with Long-Short Term Memory Modules—Case Study on Food Delivery and Its Implications SSC2023_paper_47

88 Carolina Crespi and Mario Pavone Does a group’s size affect the behavior of a crowd? An analysis based on an agent model SSC2023_paper_88  

71 Mariëlle Rietkerk, Geeske Scholz, Gerdien de Vries and Emile Chappin Advancing the fit of behavioural theory in agent-based energy transition models: an exploration of use behaviour and ways forwards SSC2023_paper_71   

77 Sili Shen, Hang Xiong, Yuqi Liu and Liangzhi You Formation of farmers’ pro-environmental behavior: an agent-based simulation based on the theory of planned behavior SSC2023_paper_77 

116 Daniel Schubert Using Survey Data to develop agent-based models of spatial segregation SSC2023_paper_116

General Track Room 102 Chair: Edmund Chattoe-Brown

104 Gabriele Filomena Towards Dynamic Cognitive Maps in Agent-Based Models of Cities SSC2023_paper_104

35 Kwun Hang Lai Interstellar knowledge dynamics SSC2023_paper_35

10 Bernardo Buarque, Malte Vogl and Roberto Lalli An Opinion Dynamics of Science? Agent-Based Modeling of Knowledge Spread SSC2023_paper_10

94 Ezgi Topuz and Gönenç Yücel Analyzing the Emergence and Dynamics of Pluralistic Ignorance with Agent-Based Model SSC2023_paper_94 

51 İrem Betül Koçak and Gönenç Yücel Minority Opinion Expression in the Presence of Perceived Majority Dominance SSC2023_paper_51

16-17:30 Panel Discussion

Standards in ABM Room 103 Chair: Bruce Edmonds

Whilst agent-based social simulation (ABSS) has gained in sophistication and the range of application areas, it has not been accepted or understood to the extent of other modelling approaches. Part of the reason for this is that others (especially policy makers) do not know what to expect of ABSS and how much it can be relied upon for their purposes. Another aspect is that ABSS is applied sporadically  to many different application areas and is used for many different purposes, so that uniform standards have not been developed. Some standards, such as ODD, have emerged but do not cover all aspects of ABSS. This session is to start a discussion as to what standards ABSS needs and how we, collectively, might go about developing them.

19:00 Conference Dinner

Oran Mor

Day 4

9-10:30 Keynote: Dan Birks, University of Leeds

Chair: Jason Thompson

Room 103

 

Simulating Crime

Crime science is a multidisciplinary field that focuses on understanding crime events with the primary aim of reducing their occurrence and associated harms. As a discipline, crime science prides itself on bringing together insights from the social, natural, formal, and applied sciences to support these efforts. Over the last 15 years, crime scientists have become increasingly interested in how social simulation can support their understanding of crime events, and potential responses to them.  In this talk, I will discuss research I’ve undertaken employing individual-based models to study crime. These studies range from using models to test criminological theory, through developing ‘thinking tools’ for crime prevention, to applied decision support systems. The models discussed are used to explore the dynamics of diverse crime-related problems, from the role urban morphology plays in crime pattern formation, to understanding international illicit firearms networks, and how police forces respond to the broad range of roles they are asked to play in society each day.  To conclude, drawing on the work of a number of colleagues, I put forward several key propositions about crime that I believe simulation modellers should know – with the hope of convincing you to become involved in this exciting application area for social simulation.

10:30-11:00 Coffee

11:00-13:00 Parallel Sessions

Special Track - Sense and Sensibility Room 103

84 Mijke van den Hurk, Mark Dechesne and Frank Dignum Exploring the stepwise process and consequences of identity fusion in different groups: An agent-based model SSC2023_paper_84 

40 Marlene Batzke and Andreas Ernst An experimental attempt at validating an agent-based model on decision making, social norm change, and norm internalization SSC2023_paper_40

80 Teng Li, Wander Jager and Andreas Flache How Does Culture Affect Vaccination Opinion Polarisation? SSC2023_paper_80 

79 Anna Melnyk and Bart De Bruin To be or about to become? Moral responsibility within transition to community energy SSC2023_paper_79 

50 Ivan Digel, Sascha Holzhauer and Friedrich Krebs Exploring Investment Decisions in Energy Retrofitting with a Multi-Stage Algorithm: An Agent-Based Model SSC2023_paper_50

22 Sophie Jones, Ruth Hunter and Leandro Garcia Developing an agent-based model exploring collective patterns and income inequalities in adult’s leisure-time physical activity SSC2023_paper_22

64 Aleid Sunniva Teeuwen, Yue Dou, Markus A. Meyer, Daniel Ayalew Mekonnen, Ermias Tesfaye, Solomon Bizayehu and Andrew Nelson Aspiration adaptation, poverty and agricultural management: an agent-based modelling study SSC2023_paper_64 

Special Track - Simulation in Crisis Room 102

59 Simon Plakolb and Patrick Mellacher The hidden effect of pandemic interventions: Modeling viral phylogenetic linearity under scenarios derived from the last pandemic SSC2023_paper_59   

13 Nick Malleson, Molly Asher and Yannick Oswald Using Approximate Bayesian Computation to Infer Disease Parameter Uncertainty in a COVID-19 Microsimulation SSC2023_paper_13

9 Marcin Wozniak With just one tap. Network study of tweets dissemination during the war in Ukraine SSC2023_paper_9 

69 Rok Novak and David Kocman Assessing Particulate Matter Dose Through Mobility: An Agent-Based Model Approach in An Urban Context SSC2023_paper_69

70 Ruth Meyer, Amelie Schmidt-Colberg, Antonio Kruse, Daniel Eberhardt and Corinna Köpke Towards a specification of behaviour models for crowds SSC2023_paper_70  

54 Francesca Giardini, Melania Borit, Harko Verhagen and Nanda Wijermans Modeling Realistic Human Behavior in Disasters. A Rapid Literature Review of Agent-Based Models reviews SSC2023_paper_54

13:00-14:00 Lunch

14:00-15:30 Parallel Sessions

Special Track - Sense and Sensibility Room 103

16 Diego Dametto, Luc Vieira, Christophe Blaison and Tobias Schroeder EACIS Emergent Affective Configuration of Identities in Space SSC2023_paper_16

99 Mandy Balthasar Aspects of Decision-Making in Human-Machine Teaming SSC2023_paper_99 

42 Bruce Edmonds, Dino Carpentras and Edmund Edmund Chattoe-Brown The grand challenge of helping people agree and how we might go about collectively tackling it SSC2023_paper_42

83 Loïs Vanhée and Melania Borit Thirty years of sense and sensibility in Agent-Based Models: A bibliometric analysis SSC2023_paper_83  

Special Track - Norms and Institutions Room 102

34 Ernesto Carrella, Patrycja Antosz, Ivan Puga Gonzalez and F. Leron Shults Interpreting power analysis via agent-based models SSC2023_paper_34

63 Yerali Gandica and Guillaume Deffuant Bounded confidence models generate more secondary clusters when the number of agents is growing SSC2023_paper_63  

107 Nathan Lloyd and Peter R. Lewis Towards Reflective Normative Agents SSC2023_paper_107

60 Guillaume Deffuant, Marijn Keijzer and Sven Banisch Regular access to constantly renewed online content favors radicalization of opinions SSC2023_paper_60

16-17:30 Parallel Sessions

General Track Room 103 Chair: Stephan Leitner

57 Salih Çevikarslan Research Joint Ventures in an R&D Driven Market with Evolving Consumer Preferences: An Evolutionary Multi-Agent Based Modeling Approach SSC2023_paper_57

33 Christa Blokhuis, Emely de Vet, Gert Jan Hofstede and Marga Ocké Protein transition in a dynamic food environment: An agent-based model to simulate consumption practices at the community level SSC2023_paper_33 

92 Corinna Elsenbroich, Ricardo Colasanti, Jennifer Boyd, Roxana Pollack and Nigel Gilbert Modelling Demographic Developments Driven by Housing Market Dynamics SSC2023_paper_92

98 Alexandra Pröpper, Friedrich Krebs and Sascha Holzhauer PANDORA  – an agent-based-model to analyze acceptance of (energy) policies, applied to the German heating sector SSC2023_paper_98  

30 Magdalena Rath and Patrick Mellacher Exploring the long-term effects of COVID-19-policies on intra-household care work division  SSC2023_paper_30

General Track Room 102 Chair: Bruce Edmonds

68 Frederik Banning, Marcin Czupryna and Bogumił Kamiński How Schwartz values influence social networks in the workplace SSC2023_paper_68 

65 Thorid Wagenblast, Tatiana Filatova, Amineh Ghorbani and Martijn Warnier Empirically-driven social networks: using survey data to specify social influence in agent-based models SSC2023_paper_65  

19 Martina Testori, Bianca Beersma, Charlotte Hemelrijk and Francesca Giardini What matters most in supporting cooperation, the gossip content or the gossiper’s intention?  Simulating motive interpretation in gossip dynamics SSC2023_paper_19

32 Martin Neumann, Davide Secchi, Maria Stefania Festila and Rasmus Gahrn-AndersenComparing performance of different organizational team structures by agent-based modelling SSC2023_paper_32 

17:30-18:30 ESSA General Assembly Room 103

Day 5

9-10:30 Keynote

Nanda Wijermans, Stockholm University

NandaWijermans Keynote

Chair: Gary Polhill

Room 103

The agent design dance. A reflection on modelling situated decision-making
The challenges humanity faces (e.g. climate, poverty, disease) require us to model a diversity of human behaviours. And these are likely taking place in situations out of the normal. This makes the underlying decison-making processes in our models increasingly important. 
 
When modelling our human agents, how do we choose the way our agents decide and act? I keep on wondering, how we as a community are doing? Are we improving our ways in modelling human decision-making? And are we situating our agents decision models appropriately in their context? 
 
In my keynote I use some of the humans my agents try to mimick (e.g. fishers, experiment participants, crowd members) to reflect together with you on the design of agent decision-making, but also take stock of the (collaborative) process by which they are ‘grown’.

10:30-11:00 Coffee

11-13:00 Parallel Sessions

Special Track - Rapid and Adaptive Agent-based Model Development Room 103

58 Önder Gürcan, Timo Szczepanska and Patrycja Antosz A Guide to Re-Implementing Agent-based Models: Experiences from the HUMAT Model SSC2023_paper_58

55 Christian Kammler, Frank Dignum and Nanda Wijermans Towards a social simulation interaction tool for policy makers – a new research agenda to enable usage of more complex social simulations SSC2023_paper_55

106 Matt Hare, Nick Roxburgh, Doug Salt and Gary Polhill Barriers and model curation issues associated with rapid adaptation of empirical legacy ABM in response to urgent policy maker queries SSC2023_paper_106  

General Track Room 102 Chair: Rajith Vidanaararchichi

111 Paola Andrea Zambrano-García, Cesar Garcia-Diaz and Carlos Moreno-Mantilla Influence of franchise governance mechanisms on franchisee’s local decisions about the environmental practices use: An NK simulation model SSC2023_paper_111 

91 Loes Bouman, Wander Jager and Dimitris Ballas SimBologna: a spatial microsimulation and agent-based modelling approach to the analysis of citizens’ participation to democratic innovations for a Greener Europe SSC2023_paper_91

29Bruce Edmonds A Declaration of Social Simulator Rights SSC2023_paper_29

Best Student Presentation Award and unveiling of next SSC location.

13:00-14:00 Lunch

Whilst we encourage in person attendance the conference will be run as a hybrid event.

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