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Tucker, J. & Lorig, F. (2024). Agent-based social simulations for health crises response: utilising the everyday digital health perspective. Frontiers In Public Health, 11, 1-6, Article ID 1337151.
Åpne denne publikasjonen i ny fane eller vindu >>Agent-based social simulations for health crises response: utilising the everyday digital health perspective
2024 (engelsk)Inngår i: Frontiers In Public Health, ISSN 2296-2565, Vol. 11, s. 1-6, artikkel-id 1337151Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

There is increasing recognition of the role that artificial intelligence (AI) systems can play in managing health crises. One such approach, which allows for analysing the potential consequences of different policy interventions is agent-based social simulations (ABSS). Here, the actions and interactions of autonomous agents are modelled to generate virtual societies that can serve as a “testbed” for investigating and comparing different interventions and scenarios. This piece focuses on two key challenges of ABSS in collaborative policy interventions during the COVID-19 pandemic. These were defining valuable scenarios to simulate and the availability of appropriate data. This paper posits that drawing on the research on the “everyday” digital health perspective in designing ABSS before or during health crises, can overcome aspects of these challenges. The focus on digital health interventions reflects a rapid shift in the adoption of such technologies during and after the COVID-19 pandemic, and the new challenges this poses for policy makers. It is argued that by accounting for the everyday digital health in modelling, ABSS would be a more powerful tool in future health crisis management.

sted, utgiver, år, opplag, sider
Frontiers Media S.A., 2024
Emneord
agent-based social simulations, health policy, crisis, COVID-19, everyday digital health, artificial intelligence
HSV kategori
Forskningsprogram
Hälsa och samhälle
Identifikatorer
urn:nbn:se:mau:diva-65091 (URN)10.3389/fpubh.2023.1337151 (DOI)001152256900001 ()38298258 (PubMedID)2-s2.0-85183829987 (Scopus ID)
Tilgjengelig fra: 2024-01-17 Laget: 2024-01-17 Sist oppdatert: 2024-02-27bibliografisk kontrollert
Abid, M. A., Amouzad Mahdiraji, S., Lorig, F., Holmgren, J., Mihailescu, R.-C. & Petersson, J. (2023). A Genetic Algorithm for Optimizing Mobile Stroke Unit Deployment. Paper presented at 27th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES 2023), Athens, Greece, 6-8 September 2023. Procedia Computer Science, 225, 3536-3545
Åpne denne publikasjonen i ny fane eller vindu >>A Genetic Algorithm for Optimizing Mobile Stroke Unit Deployment
Vise andre…
2023 (engelsk)Inngår i: Procedia Computer Science, ISSN 1877-0509, Vol. 225, s. 3536-3545Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A mobile stroke unit (MSU) is an advanced ambulance equipped with specialized technology and trained healthcare personnel to provide on-site diagnosis and treatment for stroke patients. Providing efficient access to healthcare (in a viable way) requires optimizing the placement of MSUs. In this study, we propose a time-efficient method based on a genetic algorithm (GA) to find the most suitable ambulance sites for the placement of MSUs (given the number of MSUs and a set of potential sites). We designed an efficient encoding scheme for the input data (the number of MSUs and potential sites) and developed custom selection, crossover, and mutation operators that are tailored according to the characteristics of the MSU allocation problem. We present a case study on the Southern Healthcare Region in Sweden to demonstrate the generality and robustness of our proposed GA method. Particularly, we demonstrate our method's flexibility and adaptability through a series of experiments across multiple settings. For the considered scenario, our proposed method outperforms the exhaustive search method by finding the best locations within 0.16, 1.44, and 10.09 minutes in the deployment of three MSUs, four MSUs, and five MSUs, resulting in 8.75x, 16.36x, and 24.77x faster performance, respectively. Furthermore, we validate the method's robustness by iterating GA multiple times and reporting its average fitness score (performance convergence). In addition, we show the effectiveness of our method by evaluating key hyperparameters, that is, population size, mutation rate, and the number of generations.

sted, utgiver, år, opplag, sider
Elsevier, 2023
Emneord
genetic algorithm, mobile stroke unit (MSU), optimization, healthcare, time to treatment
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-64632 (URN)10.1016/j.procs.2023.10.349 (DOI)
Konferanse
27th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES 2023), Athens, Greece, 6-8 September 2023
Forskningsfinansiär
The Kamprad Family Foundation
Tilgjengelig fra: 2023-12-20 Laget: 2023-12-20 Sist oppdatert: 2023-12-20bibliografisk kontrollert
Lorig, F., Vanhée, L. & Dignum, F. (2023). Agent-Based Social Simulation for Policy Making. In: Mohamed Chetouani, Virginia Dignum, Paul Lukowicz, Carles Sierra (Ed.), Human-Centered Artificial Intelligence: (pp. 391-414). Springer Nature
Åpne denne publikasjonen i ny fane eller vindu >>Agent-Based Social Simulation for Policy Making
2023 (engelsk)Inngår i: Human-Centered Artificial Intelligence / [ed] Mohamed Chetouani, Virginia Dignum, Paul Lukowicz, Carles Sierra, Springer Nature, 2023, s. 391-414Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

In agent-based social simulations (ABSS), an artificial population of intelligent agents that imitate human behavior is used to investigate complex phenomena within social systems. This is particularly useful for decision makers, where ABSS can provide a sandpit for investigating the effects of policies prior to their implementation. During the Covid-19 pandemic, for instance, sophisticated models of human behavior enable the investigation of the effects different interventions can have and even allow for analyzing why a certain situation occurred or why a specific behavior can be observed. In contrast to other applications of simulation, the use for policy making significantly alters the process of model building and assessment, and requires the modelers to follow different paradigms. In this chapter, we report on a tutorial that was organized as part of the ACAI 2021 summer school on AI in Berlin, with the goal of introducing agent-based social simulation as a method for facilitating policy making. The tutorial pursued six Intended Learning Outcomes (ILOs), which are accomplished by three sessions, each of which consists of both a conceptual and a practical part. We observed that the PhD students participating in this tutorial came from a variety of different disciplines, where ABSS is mostly applied as a research method. Thus, they do often not have the possibility to discuss their approaches with ABSS experts. Tutorials like this one provide them with a valuable platform to discuss their approaches, to get feedback on their models and architectures, and to get impulses for further research.

sted, utgiver, år, opplag, sider
Springer Nature, 2023
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 13500
Emneord
Agent-based modeling, Simulation for crisis situations, Sophisticated agent architectures, Analysis of simulation outputs, Interaction with stakeholders, NetLogo
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-64159 (URN)10.1007/978-3-031-24349-3_20 (DOI)2-s2.0-85152526853 (Scopus ID)978-3-031-24349-3 (ISBN)
Forskningsfinansiär
Wallenberg AI, Autonomous Systems and Software Program (WASP)Knut and Alice Wallenberg Foundation, 570080103Swedish National Infrastructure for Computing (SNIC), 2018-05973
Tilgjengelig fra: 2023-12-07 Laget: 2023-12-07 Sist oppdatert: 2023-12-08bibliografisk kontrollert
Amouzad Mahdiraji, S., Abid, M. A., Holmgren, J., Mihailescu, R.-C., Lorig, F. & Petersson, J. (2023). An Optimization Model for the Placement of Mobile Stroke Units. In: Teresa Guarda; Filipe Portela; Jose Maria Diaz-Nafria (Ed.), Advanced Research in Technologies, Information, Innovation and Sustainability: Third International Conference, ARTIIS 2023, Madrid, Spain, October 18–20, 2023, Proceedings, Part I. Paper presented at Advanced Research in Technologies, Information, Innovation and Sustainability, Third International Conference, ARTIIS 2023, Madrid, Spain, October 18–20, 2023 (pp. 297-310). Springer
Åpne denne publikasjonen i ny fane eller vindu >>An Optimization Model for the Placement of Mobile Stroke Units
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2023 (engelsk)Inngår i: Advanced Research in Technologies, Information, Innovation and Sustainability: Third International Conference, ARTIIS 2023, Madrid, Spain, October 18–20, 2023, Proceedings, Part I / [ed] Teresa Guarda; Filipe Portela; Jose Maria Diaz-Nafria, Springer, 2023, s. 297-310Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Mobile Stroke Units (MSUs) are specialized ambulances that can diagnose and treat stroke patients; hence, reducing the time to treatment for stroke patients. Optimal placement of MSUs in a geographic region enables to maximize access to treatment for stroke patients. We contribute a mathematical model to optimally place MSUs in a geographic region. The objective function of the model takes the tradeoff perspective, balancing between the efficiency and equity perspectives for the MSU placement. Solving the optimization problem enables to optimize the placement of MSUs for the chosen tradeoff between the efficiency and equity perspectives. We applied the model to the Blekinge and Kronoberg counties of Sweden to illustrate the applicability of our model. The experimental findings show both the correctness of the suggested model and the benefits of placing MSUs in the considered regions.

sted, utgiver, år, opplag, sider
Springer, 2023
Serie
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937 ; 1935
Emneord
Optimization, MILP, Time to Treatment, Mobile Stroke Unit (MSU), MSU Placement
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-64865 (URN)10.1007/978-3-031-48858-0_24 (DOI)2-s2.0-85180781530 (Scopus ID)978-3-031-48857-3 (ISBN)978-3-031-48858-0 (ISBN)
Konferanse
Advanced Research in Technologies, Information, Innovation and Sustainability, Third International Conference, ARTIIS 2023, Madrid, Spain, October 18–20, 2023
Tilgjengelig fra: 2024-01-08 Laget: 2024-01-08 Sist oppdatert: 2024-01-08bibliografisk kontrollert
Lorig, F. & Norling, E. (Eds.). (2023). Multi-Agent-Based Simulation XXIII: 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers. Paper presented at Multi-Agent-Based Simulation XXIII23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022,. Springer Nature
Åpne denne publikasjonen i ny fane eller vindu >>Multi-Agent-Based Simulation XXIII: 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers
2023 (engelsk)Konferanseproceedings (Fagfellevurdert)
sted, utgiver, år, opplag, sider
Springer Nature, 2023. s. 147
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 13743
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-64161 (URN)10.1007/978-3-031-22947-3 (DOI)978-3-031-22947-3 (ISBN)
Konferanse
Multi-Agent-Based Simulation XXIII23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022,
Merknad

This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS 2022, which took place virtually during May 8–9, 2022. The conference was originally planned to take place in Auckland, New Zealand, but had to change to an online format due to the COVID-19 pandemic.

The 11 papers included in these proceedings were carefully reviewed and selected from 17 submissions. They focus on finding efficient solutions to model complex social systems, in areas such as economics, management, organisational and social sciences in general.

Tilgjengelig fra: 2023-12-07 Laget: 2023-12-07 Sist oppdatert: 2023-12-08bibliografisk kontrollert
Lorig, F., Persson, J. A. & Michielsen, A. (2023). Simulating the Impact of Shared Mobility on Demand: a Study of Future Transportation Systems in Gothenburg, Sweden. International Journal of Intelligent Transportation Systems Research, 21(1), 129-144
Åpne denne publikasjonen i ny fane eller vindu >>Simulating the Impact of Shared Mobility on Demand: a Study of Future Transportation Systems in Gothenburg, Sweden
2023 (engelsk)Inngår i: International Journal of Intelligent Transportation Systems Research, ISSN 1348-8503, Vol. 21, nr 1, s. 129-144Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Self-driving cars enable dynamic shared mobility, where customers are independent of schedules and fixed stops. This study aims to investigate the potential effects shared mobility can have on future transportation. We simulate multiple scenarios to analyze the effects different service designs might have on vehicle kilometers, on the required number of shared vehicles, on the potential replacement of private cars, and on service metrics such as waiting times, travel times, and detour levels. To demonstrate how simulation can be used to analyze future mobility, we present a case study of the city of Gothenburg in Sweden, where we model travel demand in the morning hours of a workday. The results show that a significant decrease of vehicle kilometers can be achieved if all private car trips are replaced by rideshare and that shared vehicles can potentially replace at least 5 private cars during the morning peak.

sted, utgiver, år, opplag, sider
Springer, 2023
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-57773 (URN)10.1007/s13177-023-00345-5 (DOI)000919810900001 ()2-s2.0-85146806659 (Scopus ID)
Prosjekter
Elektriska delade självkörande fordon i det framtida fossiloberoende transportsystemet (Eldsjäl)
Forskningsfinansiär
Vinnova, 2019-05094Region Västra Götaland, KTN 2019-00124Malmö University, IOTAPMarianne and Marcus Wallenberg Foundation, WASP-HS
Tilgjengelig fra: 2023-01-24 Laget: 2023-01-24 Sist oppdatert: 2023-07-04bibliografisk kontrollert
Belfrage, M., Lorig, F. & Davidsson, P. (2022). Making Sense of Collaborative Challenges inAgent-based Modelling for Policy-Making. In: Giovanni Sileno; Christoph Becker; Nicola Lettieri (Ed.), Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022): . Paper presented at Saarbrücken, Germany, December 14, 2022. CEUR
Åpne denne publikasjonen i ny fane eller vindu >>Making Sense of Collaborative Challenges inAgent-based Modelling for Policy-Making
2022 (engelsk)Inngår i: Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022) / [ed] Giovanni Sileno; Christoph Becker; Nicola Lettieri, CEUR , 2022Konferansepaper, Publicerat paper (Fagfellevurdert)
sted, utgiver, år, opplag, sider
CEUR, 2022
Serie
CEUR Workshop Proceedings, ISSN 1613-0073
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-66202 (URN)
Konferanse
Saarbrücken, Germany, December 14, 2022
Tilgjengelig fra: 2024-03-04 Laget: 2024-03-04 Sist oppdatert: 2024-03-04bibliografisk kontrollert
Alassadi, A., Lorig, F. & Holmgren, J. (2022). Population Generation for Agent-based Simulations of Stroke Logistics Policies: A Case Study of Stroke Patient Mobility. International Journal On Advances in Life Sciences, 14(1&2), 12-21
Åpne denne publikasjonen i ny fane eller vindu >>Population Generation for Agent-based Simulations of Stroke Logistics Policies: A Case Study of Stroke Patient Mobility
2022 (engelsk)Inngår i: International Journal On Advances in Life Sciences, ISSN 1942-2660, E-ISSN 1942-2660, Vol. 14, nr 1&2, s. 12-21Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

For acute medical conditions, for instance strokes, the time until the start of the treatment is a crucial factor to prevent a fatal outcome and to facilitate the recovery of the patient’s health. Hence, the planning and optimization of patient logistics is of high importance to ensure prompt access to healthcare facilities in case of medical emergencies. Computer simulation can be used to investigate the effects of different stroke logistics policies under realistic conditions without jeopardizing the health of the patients. The success of such policies greatly depends on the behavior of the individuals. Hence, agent-based simulation is particularly well-suited as it imitates human behavior and decision-making by means of artificial intelligence, which allows for investigating the effects of policies under different conditions. Agent-based simulation requires the generation of a realistic synthetic population, that adequately represents the population that shall be investigated such that reliable conclusions can be drawn from the simulation results. In this article, we propose a process for generating an artificial population of potential stroke patients that can be used to investigate the effects of stroke logistics policies using agent-based simulation. To illustrate how this process can be applied, we present the results from a case study in the region of Skåne in southern Sweden, where a synthetic population of stroke patients with realistic mobility behavior is simulated. 

sted, utgiver, år, opplag, sider
International Academy, Research and Industry Association (IARIA), 2022
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-56757 (URN)
Tilgjengelig fra: 2022-12-15 Laget: 2022-12-15 Sist oppdatert: 2022-12-16bibliografisk kontrollert
Dytckov, S., Persson, J. A., Lorig, F. & Davidsson, P. (2022). Potential Benefits of Demand Responsive Transport in Rural Areas: A Simulation Study in Lolland, Denmark. Sustainability, 14(6), Article ID 3252.
Åpne denne publikasjonen i ny fane eller vindu >>Potential Benefits of Demand Responsive Transport in Rural Areas: A Simulation Study in Lolland, Denmark
2022 (engelsk)Inngår i: Sustainability, E-ISSN 2071-1050, Vol. 14, nr 6, artikkel-id 3252Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In rural areas with low demand, demand responsive transport (DRT) can provide an alternative to the regular public transport bus lines, which are expensive to operate in such conditions. With simulation, we explore the potential effects of introducing a DRT service that replaces existing bus lines in Lolland municipality in Denmark, assuming that the existing demand remains unchanged. We set up the DRT service in such a way that its service quality (in terms of waiting time and in-vehicle time) is comparable to the replaced buses. The results show that a DRT service can be more cost efficient than regular buses and can produce significantly less CO2 emissions when the demand level is low. Additionally, we analyse the demand density at which regular buses become more cost efficient and explore how the target service quality of a DRT service can affect operational characteristics. Overall, we argue that DRT could be a more sustainable mode of public transport in low demand areas.

sted, utgiver, år, opplag, sider
MDPI, 2022
Emneord
demand-responsive transport, microsimulation, operational costs
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-51183 (URN)10.3390/su14063252 (DOI)000774348100001 ()2-s2.0-85126302018 (Scopus ID)
Prosjekter
Towards integrated and adaptive public transport
Tilgjengelig fra: 2022-04-28 Laget: 2022-04-28 Sist oppdatert: 2024-02-05bibliografisk kontrollert
Belfrage, M., Brown, B., Danielsson, H., Dignum, V., Glöss, M., Lorig, F., . . . Wiberg, M. (2022). WASP-HS. Community Reference Meeting: Sustainability and Smart Cities. wasp-hs.org
Åpne denne publikasjonen i ny fane eller vindu >>WASP-HS. Community Reference Meeting: Sustainability and Smart Cities
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2022 (engelsk)Rapport (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
wasp-hs.org, 2022. s. 9
Serie
WASP-HS Research Brief Series ; 2022:01
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-66214 (URN)
Tilgjengelig fra: 2024-03-06 Laget: 2024-03-06 Sist oppdatert: 2024-03-06bibliografisk kontrollert
Prosjekter
Framtidens integrerade och adaptiva kollektivtrafik; Publikasjoner
Dytckov, S., Davidsson, P. & Persson, J. A. (2023). Integrate, not compete! On Potential Integration of Demand Responsive Transport Into Public Transport Network. In: : . Paper presented at 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023. Bilbao, Bizkaia, Spain: Institute of Electrical and Electronics Engineers (IEEE)
Mot mer tillförlitliga prognoser: Multimodell-ensembler för simulering av corona-pandemin; Malmö universitet
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-8209-0921