Talk, VMASC Research Seminar, Suffolk, VA
This talk emphasizes the critical importance of effective risk communication in saving lives and advocates for a unified approach to research in this field, aiming to consolidate the extensive body of literature on improving risk communication strategies.
Talk, VMASC Research Seminar, Suffolk, VA
This talk showcases how VDEM can leverage AWS services to build a robust data management system, enabling rapid decision-making and efficient emergency response through automated data collection, integration, and analysis.
Talk, DHS Modeling and Simulation Community of Interest, Washington, D.C.
This talk describes how changes in input variables affect the outputs of a simulation model, helping to validate and improve the model’s accuracy and robustness. This process typically employsglobal sensitivity analysis to identify critical factors that influence model behavior, allowing for better decision-making and optimization of systems across various fields.
Talk, VMASC Research Seminar, Suffolk, VA
This talk discusses the sensitivity assessor tool streamlines the process of conducting comprehensive sensitivity analyses, incorporating methods such as factor screening, local sensitivity analysis, and global sensitivity analysis to provide a holistic understanding of model behavior. The presentation demonstrates how the Sensitivity Assessor Tool can be applied across various domains, including production systems, risk assessment, and resource optimization, to improve model reliability, support scenario planning, and ultimately enhance decision-making processes.
Talk, George Mason University, Department of Computational and Data Sciences Fall Research Colloquium, Fairfax, VA
This talk discusses how sensitivity analysis can enhance the comprehension of simulation models by identifying key input factors that significantly influence outcomes, thereby improving model validation and decision-making processes.
Talk, Data for Refugees Challenge Workshop, Istanbul, Turkey
This talk describes how mobile phone data can be utilized to analyze the behavior and movement patterns of refugees in provinces that host significant refugee populations. This analysis may provide insights into the spatial distribution, mobility, and social integration of refugees.
Talk, Annual Meeting of the International Association for the Cognitive Science of Religion, Boston, MA
This talk describes the use of agent-based modeling to explore the conditions and mechanisms leading to escalating xenophobic anxiety between religious groups. The research aims to shed light on whether religion plays a causal role in promoting intergroup anxiety and if anxiogenic contexts contribute to increased religiosity.
Talk, Humanitarian Logistics for Refugees Workshop, Amsterdam, Netherlands
This talk describes the integration of refugees and immigrants in Dutch society using an agent-based modeling approach that incorporates value-sensitive design principles. This study presumably examines how different values held by both newcomers and host communities influence social interactions, policy effectiveness, and overall integration outcomes.
Talk, Annual Meeting of the European Social Simulation Association, Dublin, Ireland
This talk uses agent-based modeling to explore cyclical nature of violence between religious groups, exploring how initial conflicts can spiral into increasingly severe retaliatory actions, fueled by fear, misunderstanding, and the reinforcement of negative stereotypes.
Talk, Refugees Religion and Radicalization Workshop, Kristiansand, Norway
This talk presents a novel methodology for analyzing religious phenomena using interdisciplinary techniques that combine empirical data collection, computational modeling, and theoretical frameworks from various social sciences. This approach probably aims to provide a more comprehensive and nuanced understanding of religion by integrating multiple perspectives and advanced analytical tools, moving beyond traditional methods in religious studies.
Talk, Beyond Schelling and Axelrod Workshop, Manchester, United Kingdom
This talk addresses the challenges and strategies involved in effectively using smaller datasets for modeling purposes. It explores various techniques to overcome common issues such as overfitting and lack of generalization, which are prevalent when working with limited data. The presentation covers methods like transfer learning, data augmentation, and ensemble learning to enhance model performance. Additionally, it discusses the importance of selecting appropriate modeling algorithms and feature selection techniques to maximize the utility of small data in fields where large datasets are not available.
Talk, Quarterly Meeting of Hampton Roads Pedestrian and Bicycling Advocacy Committee, Surry, VA
This talk investigates the relationship between bicycle path distribution and socioeconomic indicators at the census tract level. It examines whether there are disparities in bicycle infrastructure across different neighborhoods and how this correlates with income levels, car ownership rates, and other demographic factors.
Talk, Combined Meeting of the International Spine Study Group and European Spine Study Group, Barcelona, Spain
This talk addresses the challenges and strategies involved in effectively using smaller datasets for modeling purposes. It explores various techniques to overcome common issues such as overfitting and lack of generalization, which are prevalent when working with limited data. The presentation covers methods like transfer learning, data augmentation, and ensemble learning to enhance model performance. Additionally, it discusses the importance of selecting appropriate modeling algorithms and feature selection techniques to maximize the utility of small data in fields where large datasets are not available.
Talk, Modeling Religion in Norway Colloquium, Kristiansand, Norway
This talk explores how agent-based models and other computational simulations can be used to address complex societal issues, providing policymakers with valuable insights into the potential outcomes of different policy interventions. This presentation examines the strengths and limitations of using social simulations to inform public policy decisions, highlighting both the power of these tools to model complex systems and the challenges in ensuring their accuracy and relevance to real-world scenarios.
Talk, Annual Meeting of the International Association for the Cognitive Science of Religion, Vancouver, Canada
This talk explores how the integration of big data analytics can provide fresh perspectives on religious beliefs and practices by analyzing vast datasets from sources like social media, surveys, and online forums. This approach allows researchers to track shifts in religious behavior over time, identify emerging trends such as the rise of spiritual but non-religious identities, and understand the evolving role of religion in contemporary society
Talk, Data for Development (D4D) Challenge at Net Mob, Boston, MA
This talk explores the use of mobile phone data to inform and enhance public health strategies and interventions. It examines how aggregated, de-identified mobile device data can provide near real-time information on population movements and behaviors, which is valuable for decision-making.
Talk, National Science Foundation DriveSense Workshop, Norfolk, VA
This talk explores how data collected from individual travelers can revolutionize transportation planning and urban development. This presentation examines the use of GPS data from mobile phones and vehicles to create detailed models of travel behavior, providing urban planners with unprecedented insights into real-world movement patterns.