In 1969 Bromilow observed that the time $T$ to execute a construction project follows a power law scaling with the project cost $C$, $Tsim C^B$ [Bromilow 1969]. While the Bromilow's time-cost model has been extensively tested using data for different countries and project types, there is no theoretical explanation for the algebraic scaling. Here I mathematically deduce the Bromilow's time-cost model from the fractal nature of activity networks. The Bromislow's exponent is $B=1-alpha$, where $1-alpha$ is the scaling exponent between the number of activities in the critical path $L$ and the number of activities $N$, $Lsim N^{1-alpha}$ with $0leqalpha<1$ [Vazquez et al 2023]. I provide empirical data showing that projects with low serial/parallel (SP)% have lower $B$ values than those with higher SP%. I conclude that the Bromilow's time-cost model is a law of activity networks, the Bromilow's exponent is a network property and forecasting project duration from cost should be limited to projects with high SP%.
{"title":"Deduction of the Bromilow's time-cost model from the fractal nature of activity networks","authors":"Alexei Vazquez","doi":"arxiv-2409.00110","DOIUrl":"https://doi.org/arxiv-2409.00110","url":null,"abstract":"In 1969 Bromilow observed that the time $T$ to execute a construction project\u0000follows a power law scaling with the project cost $C$, $Tsim C^B$ [Bromilow\u00001969]. While the Bromilow's time-cost model has been extensively tested using\u0000data for different countries and project types, there is no theoretical\u0000explanation for the algebraic scaling. Here I mathematically deduce the\u0000Bromilow's time-cost model from the fractal nature of activity networks. The\u0000Bromislow's exponent is $B=1-alpha$, where $1-alpha$ is the scaling exponent\u0000between the number of activities in the critical path $L$ and the number of\u0000activities $N$, $Lsim N^{1-alpha}$ with $0leqalpha<1$ [Vazquez et al 2023].\u0000I provide empirical data showing that projects with low serial/parallel (SP)%\u0000have lower $B$ values than those with higher SP%. I conclude that the\u0000Bromilow's time-cost model is a law of activity networks, the Bromilow's\u0000exponent is a network property and forecasting project duration from cost\u0000should be limited to projects with high SP%.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes a new conceptual framework called Collective Predictive Coding as a Model of Science (CPC-MS) to formalize and understand scientific activities. Building on the idea of collective predictive coding originally developed to explain symbol emergence, CPC-MS models science as a decentralized Bayesian inference process carried out by a community of agents. The framework describes how individual scientists' partial observations and internal representations are integrated through communication and peer review to produce shared external scientific knowledge. Key aspects of scientific practice like experimentation, hypothesis formation, theory development, and paradigm shifts are mapped onto components of the probabilistic graphical model. This paper discusses how CPC-MS provides insights into issues like social objectivity in science, scientific progress, and the potential impacts of AI on research. The generative view of science offers a unified way to analyze scientific activities and could inform efforts to automate aspects of the scientific process. Overall, CPC-MS aims to provide an intuitive yet formal model of science as a collective cognitive activity.
{"title":"Collective Predictive Coding as Model of Science: Formalizing Scientific Activities Towards Generative Science","authors":"Tadahiro Taniguchi, Shiro Takagi, Jun Otsuka, Yusuke Hayashi, Hiro Taiyo Hamada","doi":"arxiv-2409.00102","DOIUrl":"https://doi.org/arxiv-2409.00102","url":null,"abstract":"This paper proposes a new conceptual framework called Collective Predictive\u0000Coding as a Model of Science (CPC-MS) to formalize and understand scientific\u0000activities. Building on the idea of collective predictive coding originally\u0000developed to explain symbol emergence, CPC-MS models science as a decentralized\u0000Bayesian inference process carried out by a community of agents. The framework\u0000describes how individual scientists' partial observations and internal\u0000representations are integrated through communication and peer review to produce\u0000shared external scientific knowledge. Key aspects of scientific practice like\u0000experimentation, hypothesis formation, theory development, and paradigm shifts\u0000are mapped onto components of the probabilistic graphical model. This paper\u0000discusses how CPC-MS provides insights into issues like social objectivity in\u0000science, scientific progress, and the potential impacts of AI on research. The\u0000generative view of science offers a unified way to analyze scientific\u0000activities and could inform efforts to automate aspects of the scientific\u0000process. Overall, CPC-MS aims to provide an intuitive yet formal model of\u0000science as a collective cognitive activity.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emma F. Thomas, Mengbin Ye, Simon D. Angus, Tony J. Mathew, Winnifred Louis, Liam Walsh, Silas Ellery, Morgana Lizzio-Wilson, Craig McGarty
We are living in an age of protest. Although we have an excellent understanding of the factors that predict participation in protest, we understand little about the conditions that foster a sustained (versus transient) movement. How do interactions between supporters and authorities combine to influence whether and how people engage (i.e., using conventional or radical tactics)? This paper introduces a novel, theoretically-founded and empirically-informed agent-based model (DIMESim) to address these questions. We model the complex interactions between the psychological attributes of the protester (agents), the authority to whom the protests are targeted, and the environment that allows protesters to coordinate with each other -- over time, and at a population scale. Where an authority is responsive and failure is contested, a modest sized conventional movement endured. Where authorities repeatedly and incontrovertibly fail the movement, the population disengaged from action but evidenced an ongoing commitment to radicalism (latent radicalism).
{"title":"From Mobilisation to Radicalisation: Probing the Persistence and Radicalisation of Social Movements Using an Agent-Based Model","authors":"Emma F. Thomas, Mengbin Ye, Simon D. Angus, Tony J. Mathew, Winnifred Louis, Liam Walsh, Silas Ellery, Morgana Lizzio-Wilson, Craig McGarty","doi":"arxiv-2408.12795","DOIUrl":"https://doi.org/arxiv-2408.12795","url":null,"abstract":"We are living in an age of protest. Although we have an excellent\u0000understanding of the factors that predict participation in protest, we\u0000understand little about the conditions that foster a sustained (versus\u0000transient) movement. How do interactions between supporters and authorities\u0000combine to influence whether and how people engage (i.e., using conventional or\u0000radical tactics)? This paper introduces a novel, theoretically-founded and\u0000empirically-informed agent-based model (DIMESim) to address these questions. We\u0000model the complex interactions between the psychological attributes of the\u0000protester (agents), the authority to whom the protests are targeted, and the\u0000environment that allows protesters to coordinate with each other -- over time,\u0000and at a population scale. Where an authority is responsive and failure is\u0000contested, a modest sized conventional movement endured. Where authorities\u0000repeatedly and incontrovertibly fail the movement, the population disengaged\u0000from action but evidenced an ongoing commitment to radicalism (latent\u0000radicalism).","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The advent of social media platforms has revolutionized information consumption patterns, with individuals frequently engaging in these platforms for social interactions. This trend has fostered an environment where people gravitate towards information that aligns with their preconceived notions, leading to the formation of echo chambers and polarization within the society. Recently introduced activity-driven models have been successful in capturing the dynamics of information propagation and polarization. The present study uses this model to explore the impact of social media on a polarized society. By considering the varying influence of media, ranging from exposing individuals to contradictory views to reinforcing existing opinions, a supercritical pitchfork bifurcation is observed, triggering a transition from consensus to polarization. The transition points from polarization to consensus are derived analytically and is validated through numerical simulations. This research sheds light on the complex interplay between social media dynamics and societal polarization.
{"title":"The impact of social media on polarization in the society","authors":"Samana Pranesh, Sayan Gupta","doi":"arxiv-2408.12877","DOIUrl":"https://doi.org/arxiv-2408.12877","url":null,"abstract":"The advent of social media platforms has revolutionized information\u0000consumption patterns, with individuals frequently engaging in these platforms\u0000for social interactions. This trend has fostered an environment where people\u0000gravitate towards information that aligns with their preconceived notions,\u0000leading to the formation of echo chambers and polarization within the society.\u0000Recently introduced activity-driven models have been successful in capturing\u0000the dynamics of information propagation and polarization. The present study\u0000uses this model to explore the impact of social media on a polarized society.\u0000By considering the varying influence of media, ranging from exposing\u0000individuals to contradictory views to reinforcing existing opinions, a\u0000supercritical pitchfork bifurcation is observed, triggering a transition from\u0000consensus to polarization. The transition points from polarization to consensus\u0000are derived analytically and is validated through numerical simulations. This\u0000research sheds light on the complex interplay between social media dynamics and\u0000societal polarization.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthropic activities have a significant causal effect on climatic change but climate has also major impact on human societies. Population vulnerability to natural hazards and limited natural resources are deemed problematic, particularly on small tropical islands. Lifestyles and activities are heavily reliant on energy consumption. The relationship between climatic variations and energy consumption must be clearly understood. We demonstrate that it is possible to determine the impact of climate change on energy consumption. In small tropical islands, the relationship between climate and energy consumption is primarily driven by air conditioner electricity consumption during hotter months. Temperatures above 26{deg}C correlate with increased electricity consumption. Energy consumption is sensitive to: (1) climatic seasonal fluctuations, (2) cyclonic activity, (3) temperature warming over the last 20 years. On small tropical islands, demographic and wealth variations also have a significant impact on energy consumption. The relationship between climate and energy consumption suggests reconsidering the production and consumption of carbon-based energy.
{"title":"The impact of climate and wealth on energy consumption in small tropical islands","authors":"Julien Gargani","doi":"arxiv-2408.12438","DOIUrl":"https://doi.org/arxiv-2408.12438","url":null,"abstract":"Anthropic activities have a significant causal effect on climatic change but\u0000climate has also major impact on human societies. Population vulnerability to\u0000natural hazards and limited natural resources are deemed problematic,\u0000particularly on small tropical islands. Lifestyles and activities are heavily\u0000reliant on energy consumption. The relationship between climatic variations and\u0000energy consumption must be clearly understood. We demonstrate that it is\u0000possible to determine the impact of climate change on energy consumption. In\u0000small tropical islands, the relationship between climate and energy consumption\u0000is primarily driven by air conditioner electricity consumption during hotter\u0000months. Temperatures above 26{deg}C correlate with increased electricity\u0000consumption. Energy consumption is sensitive to: (1) climatic seasonal\u0000fluctuations, (2) cyclonic activity, (3) temperature warming over the last 20\u0000years. On small tropical islands, demographic and wealth variations also have a\u0000significant impact on energy consumption. The relationship between climate and\u0000energy consumption suggests reconsidering the production and consumption of\u0000carbon-based energy.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose an agent-based model of information spread, grounded on psychological insights on the formation and spread of beliefs. In our model, we consider a network of individuals who share two opposing types of information on a specific topic (e.g., pro- vs. anti-vaccine stances), and the accumulation of evidence supporting either type of information is modelled by means of a drift-diffusion process. After formalising the model, we put forward a campaign of Monte Carlo simulations to identify population-wide behaviours emerging from agents' exposure to different sources of information, investigating the impact of the number and persistence of such sources, and the role of the network structure through which the individuals interact. We find similar emergent behaviours for all network structures considered. When there is a single type of information, the main observed emergent behaviour is consensus. When there are opposing information sources, both consensus or polarisation can result; the latter occurs if the number and persistence of the sources exceeds some threshold values. Importantly, we find the emergent behaviour is mainly influenced by how long the information sources are present for, as opposed to how many sources there are.
{"title":"An evidence-accumulating drift-diffusion model of competing information spread on networks","authors":"Julien Corsin, Lorenzo Zino, Mengbin Ye","doi":"arxiv-2408.12127","DOIUrl":"https://doi.org/arxiv-2408.12127","url":null,"abstract":"In this paper, we propose an agent-based model of information spread,\u0000grounded on psychological insights on the formation and spread of beliefs. In\u0000our model, we consider a network of individuals who share two opposing types of\u0000information on a specific topic (e.g., pro- vs. anti-vaccine stances), and the\u0000accumulation of evidence supporting either type of information is modelled by\u0000means of a drift-diffusion process. After formalising the model, we put forward\u0000a campaign of Monte Carlo simulations to identify population-wide behaviours\u0000emerging from agents' exposure to different sources of information,\u0000investigating the impact of the number and persistence of such sources, and the\u0000role of the network structure through which the individuals interact. We find\u0000similar emergent behaviours for all network structures considered. When there\u0000is a single type of information, the main observed emergent behaviour is\u0000consensus. When there are opposing information sources, both consensus or\u0000polarisation can result; the latter occurs if the number and persistence of the\u0000sources exceeds some threshold values. Importantly, we find the emergent\u0000behaviour is mainly influenced by how long the information sources are present\u0000for, as opposed to how many sources there are.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristian E. Bello, Benjamin Harper, Camilo A. Castro, Alcides Montoya C
The rapid growth of quantum computing in the last few years has led many countries to make relevant public investments in that field. However, Colombia lacks any investment or legislation in this area. Most previous studies have focused on other countries, contributing to the region's significant lag. In this paper, we propose efforts to include quantum computing as a fundamental pillar of Colombia's development plan. In this research we involved three stakeholders: academia (Universidad Nacional de Colombia), industry (Alianza Team), and government (Vice Ministry of Digital Transformation). We anticipate that our work will provide a connection between all stakeholders involved in public investments in quantum technology in the country and will facilitate its legislation.
{"title":"Quantum Ecosystem Research and Analysis in Colombia","authors":"Cristian E. Bello, Benjamin Harper, Camilo A. Castro, Alcides Montoya C","doi":"arxiv-2409.00059","DOIUrl":"https://doi.org/arxiv-2409.00059","url":null,"abstract":"The rapid growth of quantum computing in the last few years has led many\u0000countries to make relevant public investments in that field. However, Colombia\u0000lacks any investment or legislation in this area. Most previous studies have\u0000focused on other countries, contributing to the region's significant lag. In\u0000this paper, we propose efforts to include quantum computing as a fundamental\u0000pillar of Colombia's development plan. In this research we involved three\u0000stakeholders: academia (Universidad Nacional de Colombia), industry (Alianza\u0000Team), and government (Vice Ministry of Digital Transformation). We anticipate\u0000that our work will provide a connection between all stakeholders involved in\u0000public investments in quantum technology in the country and will facilitate its\u0000legislation.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Increasing amounts of data are available on temporal, or time-varying, networks. There have been various representations of temporal network data each of which has different advantages for downstream tasks such as mathematical analysis, visualizations, agent-based and other dynamical simulations on the temporal network, and discovery of useful structure. The tie-decay network is a representation of temporal networks whose advantages include the capability of generating continuous-time networks from discrete time-stamped contact event data with mathematical tractability and a low computational cost. However, the current framework of tie-decay networks is limited in terms of how each discrete contact event can affect the time-dependent tie strength (which we call the kernel). Here we extend the tie-decay network model in terms of the kernel. Specifically, we use a cubic spline function for modeling short-term behavior of the kernel and an exponential decay function for long-term behavior, and graft them together. This spline version of tie-decay network enables delayed and $C^1$-continuous interaction rates between two nodes while it only marginally increases the computational and memory burden relative to the conventional tie-decay network. We show mathematical properties of the spline tie-decay network and numerically showcase it with three tasks: network embedding, a deterministic opinion dynamics model, and a stochastic epidemic spreading model.
{"title":"Spline tie-decay temporal networks","authors":"Chanon Thongprayoon, Naoki Masuda","doi":"arxiv-2408.11913","DOIUrl":"https://doi.org/arxiv-2408.11913","url":null,"abstract":"Increasing amounts of data are available on temporal, or time-varying,\u0000networks. There have been various representations of temporal network data each\u0000of which has different advantages for downstream tasks such as mathematical\u0000analysis, visualizations, agent-based and other dynamical simulations on the\u0000temporal network, and discovery of useful structure. The tie-decay network is a\u0000representation of temporal networks whose advantages include the capability of\u0000generating continuous-time networks from discrete time-stamped contact event\u0000data with mathematical tractability and a low computational cost. However, the\u0000current framework of tie-decay networks is limited in terms of how each\u0000discrete contact event can affect the time-dependent tie strength (which we\u0000call the kernel). Here we extend the tie-decay network model in terms of the\u0000kernel. Specifically, we use a cubic spline function for modeling short-term\u0000behavior of the kernel and an exponential decay function for long-term\u0000behavior, and graft them together. This spline version of tie-decay network\u0000enables delayed and $C^1$-continuous interaction rates between two nodes while\u0000it only marginally increases the computational and memory burden relative to\u0000the conventional tie-decay network. We show mathematical properties of the\u0000spline tie-decay network and numerically showcase it with three tasks: network\u0000embedding, a deterministic opinion dynamics model, and a stochastic epidemic\u0000spreading model.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In a context of increasing scientific specialization and deficiencies in the scientific literacy of the population, there arises a need to broaden the methods of scientific dissemination. This study proposes an approach that combines music with scientific concepts, focusing on the sonification of satellite images as the core. A generative musical composition system is developed that uses visual data to create accessible and emotional auditory experiences, thus enriching the fields of scientific dissemination and artistic expression. It concludes with an example of the algorithm's use in a musical composition.
{"title":"Polyrhythmic Harmonies from the Sky: Transforming Satellite Images of Clouds into Musical Compositions through Algorithms","authors":"Carlos Darío Badilla Cerdas","doi":"arxiv-2408.11461","DOIUrl":"https://doi.org/arxiv-2408.11461","url":null,"abstract":"In a context of increasing scientific specialization and deficiencies in the\u0000scientific literacy of the population, there arises a need to broaden the\u0000methods of scientific dissemination. This study proposes an approach that\u0000combines music with scientific concepts, focusing on the sonification of\u0000satellite images as the core. A generative musical composition system is\u0000developed that uses visual data to create accessible and emotional auditory\u0000experiences, thus enriching the fields of scientific dissemination and artistic\u0000expression. It concludes with an example of the algorithm's use in a musical\u0000composition.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yidan Xue, Wassim Jabi, Thomas E. Woolley, Katerina Kaouri
A Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly assess and compare mitigations for airborne disease spread. This agent-based simulator combines people movement in an indoor space, viral transmission modelling and detailed architectural design, and it is powered by topologicpy, an open-source Python library. VIRIS generates very fast predictions of the viral concentration and the spatiotemporal infection risk for individuals as they move through a given space. The simulator is validated with data from a courtroom superspreader event. A sensitivity study for unknown parameter values is also performed. We compare several non-pharmaceutical interventions (NPIs) issued in UK government guidance, for two indoor settings: a care home and a supermarket. Additionally, we have developed the user-friendly VIRIS web app that allows quick exploration of diverse scenarios of interest and visualisation, allowing policymakers, architects and space managers to easily design or assess infection risk in an indoor space.
{"title":"VIRIS: Simulating indoor airborne transmission combining architectural design and people movement","authors":"Yidan Xue, Wassim Jabi, Thomas E. Woolley, Katerina Kaouri","doi":"arxiv-2408.11772","DOIUrl":"https://doi.org/arxiv-2408.11772","url":null,"abstract":"A Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly\u0000assess and compare mitigations for airborne disease spread. This agent-based\u0000simulator combines people movement in an indoor space, viral transmission\u0000modelling and detailed architectural design, and it is powered by topologicpy,\u0000an open-source Python library. VIRIS generates very fast predictions of the\u0000viral concentration and the spatiotemporal infection risk for individuals as\u0000they move through a given space. The simulator is validated with data from a\u0000courtroom superspreader event. A sensitivity study for unknown parameter values\u0000is also performed. We compare several non-pharmaceutical interventions (NPIs)\u0000issued in UK government guidance, for two indoor settings: a care home and a\u0000supermarket. Additionally, we have developed the user-friendly VIRIS web app\u0000that allows quick exploration of diverse scenarios of interest and\u0000visualisation, allowing policymakers, architects and space managers to easily\u0000design or assess infection risk in an indoor space.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：