COMPUTATIONAL SOCIAL SCIENTIST
As a computational social scientist, I specialize in the intersection of social influence, social media, and online behavior. My expertise lies in developing computational models to analyze and understand the dynamics of social influence and online communities. With advanced training in social network analysis and agent-based modeling, I aim to contribute to a deeper understanding of online behaviors and their societal impact.
RESEARCH INTERESTS
My research interests lie in the intersection of social influence, social media, and online behavior. I focus on developing computational models to understand how social influence spreads across networks, the role of social media in shaping opinions and behaviors, and the dynamics of online communities, using techniques like social network analysis, data mining, and agent-based modeling. By studying the complex interactions within digital environments, my work aims to inform policies and interventions that address online harms and foster social responsibility.
CONCENTRATIONS
Agent-Based Modeling & Simulation
I use agent-based models and custom simulations to study the social media ecosystem, focusing on reducing consumer harms. By simulating interactions between users, platforms, and regulators, I analyze how policies and interventions can protect consumers.
Social Network Analysis
I have a focus in social network analysis, using techniques to model and analyze the relationships and dynamics within networks. This includes generating synthetic networks to simulate real-world social structures and studying how information, behaviors, and influence spread through network connections. My work helps uncover patterns within networks, offering valuable strategies for targeted interventions in complex social systems.
Data Mining & Visualization
I use computational methods to analyze large datasets, helping to uncover patterns and extract meaningful insights. By applying techniques like machine learning, data mining, and statistical analysis, I can organize and process complex data efficiently. The findings are then conveyed through clear and engaging visualizations, making the results easy to understand and actionable. This approach helps to turn raw data into valuable insights that support informed decision-making and strategy development.
Project Design & Leadership
I bring strong abilities in project conceptual design, planning, and leadership. I excel at breaking down complex problems into logical components and designing the key interconnections between them. With deep experience across a range of projects, I take a structured approach to problem-solving, ensuring that each phase of the project is carefully planned and executed. I’ve successfully led multidisciplinary teams, guiding projects from inception to completion while maintaining alignment with project goals and timelines.
EDUCATION
Academic Background
PHD IN COMPUTATIONAL SOCIAL SCIENCE
MASTER'S DEGREE IN COMMUNICATION, CULTURE, AND TECHNOLOGY
BACHELOR'S DEGREE IN PHOTOJOURNALISM
BACHELOR'S DEGREE IN COMPUTER AND INFORMATION SCIENCE
PUBLICATIONS
Axtell, Robert, and Scott D. Eldridge. "Recursive Agent-Based Models in which Certain Agents Utilize Their Own Agent Models." 2023 Multi-Agent-Based Simulation (MABS) Workshop Paper, May, 2023. London, UK.
Rose, Karen, and Scott D. Eldridge. "Business Meets the Internet of Things". BBB Trusted. Better Business Bureau, 23 June 2016.
Rose, Karen, Scott Eldridge, and Lyman Chapin. "The internet of things: An overview." The Internet Society (ISOC) 80 (2015): 1-50.
Eldridge, Scott D. "The Circle [Book Review]." IEEE Technology and Society Magazine 34.1 (2015): 4-16.