Dr. Ross Gore

Dr. Ross Gore

I am Research Associate Professor at Old Dominion University My work focuses on data science and predictive analytics. I am is passionate about extracting useful information from new and diverse data sources to help inform decision making.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Spinal Specific Lexicon for Sentiment Analysis of Adult Spinal Deformity Patient Interviews Correlate with SRS22, SF36, and ODI Scores: A Pilot Study of 25 Patients

Published in Preprints.org, 2025

This paper explores the use of natural language processing and sentiment analysis on telehealth visit transcripts to develop a novel health-related quality of life (HRQOL) metric for adult spinal deformity patients. The study demonstrates significant correlations between this new sentiment analysis-based metric and conventional HRQOL measures, suggesting that NLP techniques applied to patient transcripts can produce effective HRQOL metrics.

Recommended citation: Gore, Ross, Safaee, Michael M, Lynch, Christopher J, Ames, Chris P. (2025). "Spinal Specific Lexicon for Sentiment Analysis of Adult Spinal Deformity Patient Interviews Correlate with SRS22, SF36, and Odi Scores: A Pilot Study of 25 Patients." Preprints.
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Enhancing risk and crisis communication with computational methods: A systematic literature review

Published in Risk Analysis, 2024

This paper reviews recent risk communication literature and highlights the need for more research on computational methods to improve both aspects of message construction efficacy and efficiency.

Recommended citation: Munro, M. H., Gore, R. J., Lynch, C. J., Hastings, Y. D., & Reinhold, A. M. (2024). Enhancing risk and crisis communication with computational methods: A systematic literature review. Risk Analysis.
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A Relevance Model for Threat-Centric Ranking of Cybersecurity Vulnerabilities

Published in Cybersecurity & Information Systems Information Analysis Center Journal, 2024

This paper presents a framework for vulnerability management that uses public data sources and adversary criteria from MITRE ATT&CK to prioritize vulnerabilities, demonstrating significant improvements over CVSS in identifying targeted vulnerabilities and reducing patching costs.

Recommended citation: McCoy, Corren; Gore, Ross J; Nelson, Michael L; Weigel, Michele. (2024). "A Relevance Model for Threat-Centric Ranking of Cybersecurity Vulnerabilities." Cybersecurity & Information Systems Information Analysis Center Journal. Special AI/ML Edition.
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Practical Considerations for Transitioning a Professional Short Course Online

Published in Adult Learning, 2024

This paper discusses practical considerations for transitioning a professional short course to an online format.

Recommended citation: Collins, Andrew J; Lynch, Christopher; Leathrum, Jim; Grigoryan, Gayane; Cotter, T Stephen; Gore, Ross; Butler, Brandon. (2024). "Practical Considerations for Transitioning a Professional Short Course Online." Adult Learning. 10451595241258232.
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Embedding Software Engineering in Mixed Methods Research: Computationally Enhanced Risk Communication

Published in International Journal of Multiple Research Approaches, 2023

This paper explores the integration of software engineering techniques into mixed methods research, focusing on computationally enhanced approaches for risk communication.

Recommended citation: Reinhold, Ann Marie; Munro, Madison H; Shanahan, Elizabeth A; Gore, Ross J; Ezell, Barry C; Izurieta, Clemente I. (2023). "Embedding Software Engineering in Mixed Methods Research: Computationally Enhanced Risk Communication." International Journal of Multiple Research Approaches. 15(2).
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A structured narrative prompt for prompting narratives from large language models: Sentiment assessment of chatgpt-generated narratives and real tweets

Published in Future Internet, 2023

This paper presents a structured narrative prompt for generating narratives from large language models and assesses the sentiment of ChatGPT-generated narratives and real tweets.

Recommended citation: Lynch, Christopher J; Jensen, Erik J; Zamponi, Virginia; OBrien, Kevin; Frydenlund, Erika; Gore, Ross. (2023). "A structured narrative prompt for prompting narratives from large language models: Sentiment assessment of chatgpt-generated narratives and real tweets". Future Internet. 15(12), 375.
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Understanding and assessing demographic (in)equity resulting from extreme heat and direct sunlight exposure due to lack of tree canopies in Norfolk, VA using agent-based modeling

Published in Ecological Modelling, 2023

This paper uses agent-based modeling to assess demographic inequity resulting from extreme heat and direct sunlight exposure due to lack of tree canopies in Norfolk, VA.

Recommended citation: Zamponi, Virginia; OBrien, Kevin; Jensen, Erik; Feldhaus, Brandon; Moore, Russell; Lynch, Christopher J; Gore, Ross. (2023). "Understanding and assessing demographic (in)equity resulting from extreme heat and direct sunlight exposure due to lack of tree canopies in Norfolk, VA using agent-based modeling". Ecological Modelling. 483, 110445.
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Estimating the health effects of adding bicycle and pedestrian paths at the census tract level: multiple model comparison

Published in JMIR public health and surveillance, 2022

This paper compares multiple models to estimate the health effects of adding bicycle and pedestrian paths at the census tract level.

Recommended citation: Gore, Ross; Lynch, Christopher J; Jordan, Craig A; Collins, Andrew; Robinson, R Michael; Fuller, Gabrielle; Ames, Pearson; Keerthi, Prateek; Kandukuri, Yash. (2022). "Estimating the health effects of adding bicycle and pedestrian paths at the census tract level: multiple model comparison." JMIR public health and surveillance. 8(8), e37379.
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Short-range forecasting of COVID-19 during early onset at county, health district, and state geographic levels using seven methods: comparative forecasting study

Published in Journal of medical Internet research, 2021

This paper compares seven different methods for short-range forecasting of COVID-19 cases during the early onset of the pandemic, analyzing their performance at various geographic levels.

Recommended citation: Lynch, Christopher J; Gore, Ross. (2021). "Short-range forecasting of COVID-19 during early onset at county, health district, and state geographic levels using seven methods: comparative forecasting study." Journal of medical Internet research. 23(3), e24925.
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Simulation for cybersecurity: state of the art and future directions

Published in Journal of Cybersecurity, 2021

This paper reviews the state of the art in cybersecurity simulation and outlines future directions for research and application in this field.

Recommended citation: Kavak, Hamdi; Padilla, Jose J; Vernon-Bido, Daniele; Diallo, Saikou Y; Gore, Ross; Shetty, Sachin. (2021). "Simulation for cybersecurity: state of the art and future directions." Journal of Cybersecurity. 7(1), tyab005.
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Application of one-, three-, and seven-day forecasts during early onset on the COVID-19 epidemic dataset using moving average, autoregressive, autoregressive moving average, autoregressive integrated moving average, and naïve forecasting methods

Published in Data in Brief, 2021

This paper applies various forecasting methods to predict COVID-19 cases during the early onset of the epidemic, comparing different time horizons and statistical techniques.

Recommended citation: Lynch, Christopher J; Gore, Ross. (2021). "Application of one-, three-, and seven-day forecasts during early onset on the COVID-19 epidemic dataset using moving average, autoregressive, autoregressive moving average, autoregressive integrated moving average, and naïve forecasting methods." Data in Brief. 35, 106759.
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Modeling radicalization and violent extremism

Published in Advances in Social Simulation: Looking in the Mirror, 2020

This paper presents models for understanding and analyzing the processes of radicalization and violent extremism using computational or theoretical approaches.

Recommended citation: Shults, F LeRon; Gore, Ross. (2020). "Modeling radicalization and violent extremism." Advances in Social Simulation: Looking in the Mirror. 405-410.
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A network agent-based model of ethnocentrism and intergroup cooperation

Published in Quality & Quantity, 2020

This paper presents a network agent-based model exploring ethnocentrism and intergroup cooperation, examining how mechanisms like preexisting markers, imitation, and reaction to non-cooperating agents influence group dynamics and network formation.

Recommended citation: Lemos, Carlos M; Gore, Ross J; Lessard-Phillips, Laurence; Shults, F LeRon. (2020). "A network agent-based model of ethnocentrism and intergroup cooperation." Quality & Quantity. 54(2), 463-489.
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Exploring good cycling cities using multivariate statistics

Published in Environment systems and decisions, 2020

This study investigates the characteristics of 119 cities to explore what factors help make a city good for cycling using multivariate statistical techniques.

Recommended citation: Collins, Andrew J; Jordan, Craig A; Robinson, R Michael; Cornelius, Caitlin; Gore, Ross. (2020). "Exploring good cycling cities using multivariate statistics." Environment systems and decisions. 40, 526-543.
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Agent-based modelling of values: The case of value sensitive design for refugee logistics

Published in Journal of Artificial Societies and Social Simulation, 2020

This paper presents an agent-based model using value sensitive design to explore humanitarian logistics for refugees.

Recommended citation: Boshuijzen-van Burken, Christine; Gore, Ross; Dignum, FPM; Royakkers, Lamber; Wozny, Phillip; Shults, F LeRon. (2020). "Agent-based modelling of values: The case of value sensitive design for refugee logistics." Journal of Artificial Societies and Social Simulation. 23(4), 6.
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Post-supernatural cultures: There and back again

Published in Secularism and Nonreligion, 2020

This paper explores the concept of post-supernatural cultures, examining the transition away from and potential return to supernatural beliefs in societies.

Recommended citation: Wildman, Wesley J; Shults, F LeRon; Diallo, Saikou Y; Gore, Ross; Lane, Justin E. (2020). "Post-supernatural cultures: There and back again." Secularism and Nonreligion. 9.
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Characterizing the mobile phone use patterns of refugee-hosting provinces in turkey

Published in Guide to Mobile Data Analytics in Refugee Scenarios: The 'Data for Refugees Challenge' Study, 2019

This paper analyzes mobile phone use patterns in refugee-hosting provinces in Turkey, providing insights into refugee behavior and integration.

Recommended citation: Frydenlund, Erika; Yilmaz Şener, Meltem; Gore, Ross; Boshuijzen-van Burken, Christine; Bozdag, Engin; De Kock, Christa. (2019). "Characterizing the mobile phone use patterns of refugee-hosting provinces in turkey". Guide to Mobile Data Analytics in Refugee Scenarios: The "Data for Refugees Challenge" Study. 417-431.
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Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme

Published in PloS one, 2019

This paper examines the dimensionality and factorial invariance of religiosity across different cultural contexts, focusing on Christians and the religiously unaffiliated.

Recommended citation: Lemos, Carlos Miguel; Gore, Ross Joseph; Puga-Gonzalez, Ivan; Shults, F LeRon. (2019). "Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme". PloS one. 14(5), e0216352.
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Identifying unexpected behaviors of agent-based models through spatial plots and heat maps

Published in Complex Adaptive Systems: Views from the Physical, Natural, and Social Sciences, 2019

This paper presents methods for identifying unexpected behaviors in agent-based models using spatial plots and heat maps.

Recommended citation: Lynch, Christopher J; Kavak, Hamdi; Gore, Ross; Vernon-Bido, Daniele. (2019). "Identifying unexpected behaviors of agent-based models through spatial plots and heat maps". Complex Adaptive Systems: Views from the Physical, Natural, and Social Sciences. 129-142.
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A generative model of the mutual escalation of anxiety between religious groups

Published in Journal of Artificial Societies and Social Simulation, 2018

This paper presents a generative model exploring the mutual escalation of anxiety between religious groups, providing insights into inter-religious conflicts.

Recommended citation: Shults, F LeRon, Gore, Ross, Wildman, Wesley J, Lynch, Christopher J, Lane, Justin E, Toft, Monica D. (2018). "A generative model of the mutual escalation of anxiety between religious groups." Journal of Artificial Societies and Social Simulation. 21(4).
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Assessing cyber-incidents using machine learning

Published in International Journal of Information and Computer Security, 2018

This paper applies machine learning techniques to assess and analyze cyber-incidents, enhancing cybersecurity measures.

Recommended citation: Gore, Ross, Diallo, Saikou Y, Padilla, Jose, Ezell, Barry. (2018). "Assessing cyber-incidents using machine learning." International Journal of Information and Computer Security. 10(4), 341-360.
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Why do the godless prosper? Modeling the cognitive and coalitional mechanisms that promote atheism

Published in Psychology of Religion and Spirituality, 2018

This paper models the cognitive and coalitional mechanisms that promote atheism, exploring why non-religious individuals may prosper.

Recommended citation: Shults, F LeRon, Gore, Ross, Lemos, Carlos, Wildman, Wesley J. (2018). "Why do the godless prosper? Modeling the cognitive and coalitional mechanisms that promote atheism." Psychology of Religion and Spirituality. 10(3), 218.
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Modelling terror management theory: computer simulations of the impact of mortality salience on religiosity

Published in Religion, Brain & Behavior, 2018

This paper presents computer simulations exploring the impact of mortality salience on religiosity using terror management theory.

Recommended citation: Shults, F LeRon, Lane, Justin E, Wildman, Wesley J, Diallo, Saikou, Lynch, Christopher J, Gore, Ross. (2018). "Modelling terror management theory: computer simulations of the impact of mortality salience on religiosity." Religion, Brain & Behavior. 8(1), 77-100.
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Forecasting changes in religiosity and existential security with an agent-based model

Published in Journal of Artificial Societies and Social Simulation, 2018

This paper uses an agent-based model to forecast changes in religiosity and existential security, exploring the dynamics between these factors.

Recommended citation: Gore, Ross, Lemos, Carlos, Shults, F LeRon, Wildman, Wesley J. (2018). "Forecasting changes in religiosity and existential security with an agent-based model." Journal of Artificial Societies and Social Simulation. 21(1).
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Applying statistical debugging for enhanced trace validation of agent-based models

Published in Simulation, 2017

This paper presents the application of statistical debugging techniques to improve trace validation in agent-based models, enhancing the reliability and accuracy of simulation results.

Recommended citation: Gore, Ross J; Lynch, Christopher J; Kavak, Hamdi. (2017). "Applying statistical debugging for enhanced trace validation of agent-based models." Simulation. 93(4), 273-284.
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Markov chain modeling of cyber threats

Published in The Journal of Defense Modeling and Simulation, 2017

This paper presents the application of Markov chain modeling to analyze and predict cyber threats, providing insights into cybersecurity risk assessment and management.

Recommended citation: Gore, Ross; Padilla, Jose; Diallo, Saikou. (2017). "Markov chain modeling of cyber threats." The Journal of Defense Modeling and Simulation. 14(3), 233-244.
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Augmenting bottom-up metamodels with predicates

Published in Journal of Artificial Societies and Social Simulation, 2017

This paper discusses a method for enhancing bottom-up metamodels by incorporating predicates, potentially improving the accuracy or interpretability of these models.

Recommended citation: Gore, Ross; Diallo, Saikou; Lynch, Christopher; Padilla, Jose. (2017). "Augmenting bottom-up metamodels with predicates." Journal of Artificial Societies and Social Simulation. 20(1).
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Semi-automated initialization of simulations: an application to healthcare

Published in The Journal of Defense Modeling and Simulation, 2016

This paper presents a semi-automated approach for initializing simulations, with a specific application to healthcare scenarios.

Recommended citation: Padilla, Jose J; Diallo, Saikou Y; Kavak, Hamdi; Sahin, Olcay; Sokolowski, John A; Gore, Ross J. (2016). "Semi-automated initialization of simulations: an application to healthcare". The Journal of Defense Modeling and Simulation. 13(2), 171-182.
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Identifying key papers within a journal via network centrality measures

Published in Scientometrics, 2016

This paper presents a method for identifying key papers within a journal using network centrality measures.

Recommended citation: Diallo, Saikou Y; Lynch, Christopher J; Gore, Ross; Padilla, Jose J. (2016). "Identifying key papers within a journal via network centrality measures". Scientometrics. 107, 1005-1020.
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Formal methods, statistical debugging and exploratory analysis in support of system development: Towards a verification and validation calculator tool

Published in International Journal of Modeling, Simulation, and Scientific Computing, 2016

This paper discusses the integration of formal methods, statistical debugging, and exploratory analysis to support system development, proposing a verification and validation calculator tool.

Recommended citation: Diallo, Saikou Y; Gore, Ross; Lynch, Christopher J; Padilla, Jose J. (2016). "Formal methods, statistical debugging and exploratory analysis in support of system development: Towards a verification and validation calculator tool". International Journal of Modeling, Simulation, and Scientific Computing. 7(01), 1641001.
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You are what you tweet: connecting the geographic variation in Americas obesity rate to twitter content

Published in PloS one, 2015

This paper explores the relationship between Twitter content and geographic variations in obesity rates across America, using social media data to understand health trends.

Recommended citation: Gore, Ross Joseph; Diallo, Saikou; Padilla, Jose. (2015). "You are what you tweet: connecting the geographic variation in Americas obesity rate to twitter content". PloS one. 10(9), e0133505.
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Statistical debugging for simulations

Published in ACM Transactions on Modeling and Computer Simulation (TOMACS), 2015

This paper discusses statistical debugging techniques specifically applied to simulations, addressing methods for identifying and resolving issues in simulation models.

Recommended citation: Gore, Ross; Reynolds Jr, Paul F; Kamensky, David; Diallo, Saikou; Padilla, Jose. (2015). "Statistical debugging for simulations". ACM Transactions on Modeling and Computer Simulation (TOMACS). 25(3), 1-26.
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An overview of modeling and simulation using content analysis

Published in Scientometrics, 2015

This paper provides an overview of modeling and simulation using content analysis techniques, offering insights into trends and patterns in the field.

Recommended citation: Diallo, Saikou Y; Gore, Ross J; Padilla, Jose J; Lynch, Christopher J. (2015). "An overview of modeling and simulation using content analysis". Scientometrics. 103, 977-1002.
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Conceve: Conceptual modeling and formal validation for everyone

Published in ACM Transactions on Modeling and Computer Simulation (TOMACS), 2014

This paper introduces Conceve, a tool for conceptual modeling and formal validation designed to be accessible to a wide range of users in the modeling and simulation community.

Recommended citation: Gore, Ross; Diallo, Saikou; Padilla, Jose. (2014). "Conceve: Conceptual modeling and formal validation for everyone". ACM Transactions on Modeling and Computer Simulation (TOMACS). 24(2), 1-17.
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Toward a formalism of modeling and simulation using model theory

Published in Complexity, 2014

This paper proposes a formalism for modeling and simulation using model theory, aiming to provide a more rigorous mathematical foundation for the field.

Recommended citation: Diallo, Saikou Y; Padilla, Jose J; Gore, Ross; Herencia‐Zapana, Heber; Tolk, Andreas. (2014). "Toward a formalism of modeling and simulation using model theory". Complexity. 19(3), 56-63.
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Modeling and simulation framework for systems engineering

Published in , 2014

This paper presents a comprehensive framework for applying modeling and simulation techniques to systems engineering problems.

Recommended citation: Diallo, Saikou Y; Tolk, Andreas; Gore, Ross; Padilla, Jose J. (2014). "Modeling and simulation framework for systems engineering."
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INSIGHT: understanding unexpected behaviours in agent-based simulations

Published in Journal of Simulation, 2010

This paper presents INSIGHT, a framework for understanding unexpected behaviors in agent-based simulations. It discusses methods for analyzing and interpreting emergent phenomena in complex systems.

Recommended citation: Gore, Ross, Reynolds Jr, Paul F. (2010). "INSIGHT: understanding unexpected behaviours in agent-based simulations." Journal of Simulation. 4(3), 170-180.
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AggPro: the aggregate projection system

Published in Baseball Research Journal, 2009

This paper introduces AggPro, an aggregate projection system for baseball analytics. It discusses methods for projecting player performance using aggregated statistical data.

Recommended citation: Gore, R., Snapp, C., Highley, Timothy. (2009). "AggPro: the aggregate projection system." Baseball Research Journal. 38(2), 20-25.
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Conference Papers

An Agent-Based Model of Prosocial Equilibrium: The Role of Religiously Motivated Behaviour in the Formation and Maintenance of Large-Scale Societies

Published in Conference of the European Social Simulation Association, 2022

This paper presents an agent-based model exploring the role of religiously motivated behavior in the formation and maintenance of large-scale societies.

Recommended citation: Puga-Gonzalez, Ivan; Shults, F LeRon; Gore, Ross; Talmont-Kaminski, Konrad. (2022). "An Agent-Based Model of Prosocial Equilibrium: The Role of Religiously Motivated Behaviour in the Formation and Maintenance of Large-Scale Societies." Conference of the European Social Simulation Association. 61-73.
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Increased need for data analytics education in support of verification and validation

Published in 2021 Winter Simulation Conference (WSC), 2021

This paper discusses the growing need for data analytics education to support verification and validation processes in modeling and simulation.

Recommended citation: Lynch, Christopher J; Gore, Ross; Collins, Andrew J; Cotter, T Steven; Grigoryan, Gayane; Leathrum, James F. (2021). "Increased need for data analytics education in support of verification and validation." 2021 Winter Simulation Conference (WSC). 1-12.
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Education in analytics needed for the modeling & simulation process

Published in 2020 Winter Simulation Conference (WSC), 2020

This paper discusses the need for education in analytics to support the modeling and simulation process, highlighting the importance of analytical skills in M&S.

Recommended citation: Leathrum, James F; Collins, Andrew J; Cotter, T Steven; Lynch, Christopher J; Gore, Ross. (2020). "Education in analytics needed for the modeling & simulation process." 2020 Winter Simulation Conference (WSC). 3236-3247.
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A value sensitive ABM of the refugee crisis in the Netherlands

Published in 2019 Spring Simulation Conference (SpringSim), 2019

This paper presents a value-sensitive agent-based model of the refugee crisis in the Netherlands, exploring ethical considerations in policy decisions.

Recommended citation: Gore, Ross; Wozny, Phillip; Dignum, Frank PM; Shults, F LeRon; Boshuijzen-van Burken, Christine; Royakkers, Lamber. (2019). "A value sensitive ABM of the refugee crisis in the Netherlands". 2019 Spring Simulation Conference (SpringSim). 1-12.
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Aging out of crime: Exploring the relationship between age and crime with agent based modeling

Published in Proceedings of the agent-directed simulation symposium, 2017

This paper uses agent-based modeling to explore the relationship between age and crime, particularly focusing on the phenomenon of aging out of criminal behavior.

Recommended citation: Cornelius, Caitlin VM; Lynch, Christopher J; Gore, Ross. (2017). "Aging out of crime: Exploring the relationship between age and crime with agent based modeling." Proceedings of the agent-directed simulation symposium. 1-12.
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The spread of wi-fi router malware revisited

Published in Proceedings of the 20th Communications & Networking Symposium, 2017

This paper revisits the topic of wi-fi router malware spread, providing updated insights and models on how such malware propagates through networks.

Recommended citation: Kavak, Hamdi; Vernon-Bido, Daniele; Padilla, Jose J; Diallo, Saikou Y; Gore, Ross J. (2017). "The spread of wi-fi router malware revisited." Proceedings of the 20th Communications & Networking Symposium. 1-10.
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The impact of modeling paradigms on the outcome of simulation studies: An experimental case study

Published in 2016 Winter Simulation Conference (WSC), 2016

This paper presents an experimental case study on the impact of modeling paradigms on simulation study outcomes.

Recommended citation: Diallo, Saikou Y; Lynch, Christopher J; Padilla, Jose J; Gore, Ross. (2016). "The impact of modeling paradigms on the outcome of simulation studies: An experimental case study". 2016 Winter Simulation Conference (WSC). 1451-1462.
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Using simulation games for teaching and learning discrete-event simulation

Published in 2016 Winter Simulation Conference (WSC), 2016

This paper discusses the use of simulation games for teaching and learning discrete-event simulation concepts.

Recommended citation: Padilla, Jose J; Lynch, Christopher J; Diallo, Saikou Y; Gore, Ross J; Barraco, Anthony; Kavak, Hamdi; Jenkins, Bakari. (2016). "Using simulation games for teaching and learning discrete-event simulation". 2016 Winter Simulation Conference (WSC). 3375-3384.
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Towards modeling factors that enable an attacker

Published in SummerSim, 2016

This paper explores modeling approaches for factors that enable an attacker in cybersecurity scenarios.

Recommended citation: Vernon-Bido, Daniele; Padilla, Jose J; Diallo, Saikou Y; Kavak, Hamdi; Gore, Ross J. (2016). "Towards modeling factors that enable an attacker". SummerSim. 46.
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A characterization of cybersecurity simulation scenarios

Published in SpringSim (CNS), 2016

This paper provides a characterization of cybersecurity simulation scenarios.

Recommended citation: Kavak, Hamdi; Padilla, Jose J; Vernon-Bido, Daniele; Gore, R; Diallo, S. (2016). "A characterization of cybersecurity simulation scenarios". SpringSim (CNS). 3.
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Modeling and simulation as a service (MSaaS) for education: Learning STEM concepts through simulation use and building

Published in SummerSim, 2015

This paper discusses the concept of Modeling and Simulation as a Service (MSaaS) in education, focusing on learning STEM concepts through both using and building simulations.

Recommended citation: Padilla, Jose J; Romero-Hall, Enilda; Diallo, Saikou Y; Barraco, Anthony; Kavak, Hamdi; Lynch, Christopher J; Gore, Ross J; Sheth-Chandra, Manasi. (2015). "Modeling and simulation as a service (MSaaS) for education: Learning STEM concepts through simulation use and building". SummerSim. 50:1-50:9.
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Mobile data as public health decision enabler: a case study of cardiac and neurological emergencies

Published in Data for Development (D4D) Challenge at Net Mob 2015, Boston, USA, 7-10 April 2015, 2015

This paper explores the use of mobile data in public health decision-making, focusing on a case study involving cardiac and neurological emergencies.

Recommended citation: Mutafungwa, Edward; Thiessard, Frantz; Diallo, Pathé; Gore, Ross; Jouhet, Vianney; Karray, Chiheb; Kheder, Nouha; Rym, Saddem; Hämäläinen, Jyri; Diallo, Gayo. (2015). "Mobile data as public health decision enabler: a case study of cardiac and neurological emergencies". Data for Development (D4D) Challenge at Net Mob 2015, Boston, USA, 7-10 April 2015.
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The need for usable formal methods in verification and validation

Published in 2013 Winter Simulations Conference (WSC), 2013

This paper discusses the importance of developing usable formal methods for verification and validation in simulation and modeling.

Recommended citation: Gore, Ross; Diallo, Saikou. (2013). "The need for usable formal methods in verification and validation". 2013 Winter Simulations Conference (WSC), 1257-1268.
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Reducing confounding bias in predicate-level statistical debugging metrics

Published in 2012 34th International Conference on Software Engineering (ICSE), 2012

This paper presents methods for reducing confounding bias in predicate-level statistical debugging metrics, improving the accuracy and reliability of software debugging techniques.

Recommended citation: Gore, Ross; Reynolds, Paul F. (2012). "Reducing confounding bias in predicate-level statistical debugging metrics." 2012 34th International Conference on Software Engineering (ICSE). 463-473.
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Modifying test suite composition to enable effective predicate-level statistical debugging

Published in NASA Formal Methods: 4th International Symposium, NFM 2012, Norfolk, VA, USA, April 3-5, 2012. Proceedings 4, 2012

This paper discusses techniques for modifying test suite composition to improve the effectiveness of predicate-level statistical debugging, enhancing software testing and fault localization processes.

Recommended citation: Gore, Ross; Reynolds, Paul F. (2012). "Modifying test suite composition to enable effective predicate-level statistical debugging." NASA Formal Methods: 4th International Symposium, NFM 2012, Norfolk, VA, USA, April 3-5, 2012. Proceedings 4. 70-84.
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Applying enhanced fault localization technology to Monte Carlo simulations

Published in Proceedings of the 2011 Winter Simulation Conference (WSC), 2011

This paper presents an application of enhanced fault localization techniques to Monte Carlo simulations, improving the ability to identify and diagnose issues in complex stochastic models.

Recommended citation: Kamensky, David; Gore, Ross; Reynolds, Paul F. (2011). "Applying enhanced fault localization technology to Monte Carlo simulations." Proceedings of the 2011 Winter Simulation Conference (WSC). 2798-2809.
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Statistical debugging with elastic predicates

Published in 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

This paper is about statistical debugging with elastic predicates. These predicates adapt to interesting value ranges of numeric variables in scientific software to help automatically find the location of bugs.

Recommended citation: Gore, Ross, Reynolds, Paul F, Kamensky, David. (2011). "Statistical debugging with elastic predicates." 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011). 492-495.
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Causal program slicing

Published in 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation, 2009

This paper introduces causal program slicing, a technique that combines program slicing with causal inference to identify the parts of a program that are causally related to specific behaviors or outputs.

Recommended citation: Gore, Ross, Reynolds Jr, Paul F. (2009). "Causal program slicing." 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation. 19-26.
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Applying causal inference to understand emergent behavior

Published in 2008 Winter Simulation Conference, 2008

This paper is about applying causal inference to simulation trace data to understand emergent behavior. A case study highlighting how the technique can identify differences in the causal dynamics of agent-based simulation vs a differential equation-based simulation of flu spread is presented.

Recommended citation: Gore, Ross, Reynolds, Paul F. (2008). "Applying causal inference to understand emergent behavior." 2008 Winter Simulation Conference. 712-721.
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Validating evolving simulations in COERCE

Published in Computational Science–ICCS 2007: 7th International Conference, Beijing, China, May 27-30, 2007, Proceedings, Part I 7, 2007

This paper presents COERCE, a framework for validating evolving simulations. It addresses the challenges of maintaining simulation validity as models evolve over time and become more complex.

Recommended citation: Reynolds, Paul F, Spiegel, Michael, Liu, Xinyu, Gore, Ross. (2007). "Validating evolving simulations in COERCE." 2007 International Computational Science Conference (ICCS), Beijing, China, May 27-30, 2007. 1238-1245.
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An exploration-based taxonomy for emergent behavior analysis in simulations

Published in 2007 Winter Simulation Conference, 2007

This paper presents a taxonomy for analyzing emergent behavior in simulations. It provides a structured approach to explore and categorize unexpected behaviors that arise in complex simulation models.

Recommended citation: Gore, Ross, Reynolds, Paul F. (2007). "An exploration-based taxonomy for emergent behavior analysis in simulations." 2007 Winter Simulation Conference. 1232-1240.
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Explanation exploration: Exploring emergent behavior

Published in 2007 Principles of Advanced and Distributed Simulation Workshop (PADS 07), 2007

This paper is about exploring emergent behavior through explanation exploration. A case study with agent-based modeling is presented to demonstrate the application of the process in detail.

Recommended citation: Gore, Ross, Reynolds Jr, Paul F, Tang, Lingjia, Brogan, David C. (2007). "Explanation exploration: Exploring emergent behavior." 21st International Workshop on Principles of Advanced and Distributed Simulation (PADS 07). 113-122.
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