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Tom Briggs
Organizational Psychologist & Computational Social Scientist
Professional Background
Tom Briggs is a distinguished professional who leverages his extensive knowledge and experience in research psychology and computational social science to enhance organizational effectiveness and program outcomes. With a unique ability to improve decision-making processes, Tom employs a rigorous scientific approach to measuring, evaluating, simulating, and predicting individual and group behaviors. His expertise lends themselves to a variety of critical questions, such as determining optimal evacuation strategies during public emergencies, understanding how to modify health workers' behaviors to ensure patient safety, and designing work environments that foster increased employee engagement and performance.
Throughout his career, Tom has held a multitude of significant positions that showcase his expertise in quantitative and qualitative research methodologies. As a Data Analyst at the U.S. Securities and Exchange Commission, he utilizes cutting-edge data analysis techniques and tools to influence policy and improve institutional practices. Previously, he served as a PhD Candidate in Computational Social Science at George Mason University, where he explored the complexities of human behavior through computational modeling techniques such as agent-based modeling and network analysis. His consultancy work encompasses collaborations with organizations including the National Geospatial-Intelligence Agency and the Association of State and Territorial Health Officials, where he has made substantial contributions in the fields of workforce analysis and public health.
Education and Achievements
Tom Briggs's educational background forms the foundation of his expertise in research psychology and computational social science. He holds a PhD in Computational Social Science from the esteemed George Mason University, where he rigorously trained in applying computational techniques to analyze social phenomena. Additionally, Tom undertook a Graduate Workshop in Computational Social Science Modeling and Complexity at the renowned Santa Fe Institute, further honing his abilities in complex systems analysis.
Moreover, Tom possesses a Master of Professional Studies (MPS) in Industrial-Organizational Psychology from the University of Maryland Baltimore County. This advanced training provided him with critical insights into human capital management, organizational behavior, and program evaluation. He also completed a Bachelor of Arts in Psychology at the same university, along with studies in Psychology and English at Lancaster University.
Throughout his academic pursuits, Tom has not only focused on theoretical knowledge but has applied this knowledge practically in various research roles. His diverse professional experiences have equipped him with the ability to deliver actionable insights based on rigorous empirical evaluation and data-driven techniques.
Skills and Areas of Expertise
Tom's professional journey has led him to develop a broad skill set that spans multiple disciplines. He is adept in social science methodologies, including experimental design, survey methodology, data analysis, statistical modeling, and data mining. His proficiency in predictive modeling enables him to generate insights that drive informed decision-making across different sectors. Moreover, his expertise in complexity science allows him to utilize advanced computational modeling and simulation techniques to understand behavioral dynamics within large groups.
He is also well-versed in programming languages such as Java, Python, R, and SQL, which enable him to manipulate and analyze complex data sets effectively. Tom leverages a variety of sophisticated analytical tools, including R, SAS, SPSS Statistics, IBM Cognos BI, and Tableau, to visualize data and communicate impactful findings.
His research interests encompass several crucial topics, such as industrial/organizational psychology, human resources, diversity, equity, inclusion, and workforce planning. Tom's comprehensive understanding of these areas ensures that he approaches organizational challenges holistically, considering various factors that influence job performance and employee well-being.
Notable Contributions
Tom Briggs's work has consistently made significant impacts within the organizations he has been part of. During his tenure at the National Geospatial-Intelligence Agency, he applied his analytical skills to facilitate better decision-making through comprehensive workforce analysis. His contributions as a Senior Analyst at the Association of State and Territorial Health Officials directly influenced policies that improve health outcomes across various states.
Additionally, his brief stint at Bose Corporation as a Demonstration Specialist showcases his ability to communicate complex technical concepts clearly. This communication skill plays an essential role in his current work at the U.S. Securities and Exchange Commission, where he presents data-driven insights to stakeholders who rely on accurate information to guide their policy-making efforts.
In his capacity as an Adjunct Faculty at George Mason University, Tom has contributed to the growth of the next generation of scholars and practitioners in the domain of Computational Social Science. His dedication to education exemplifies his commitment to advancing knowledge and practice in this critical field.
Conclusion
Tom Briggs is a highly accomplished and multifaceted professional whose work at the intersection of research psychology and computational social science drives improvements in organizational effectiveness. With a robust academic background and a wealth of practical experience, he continues to provide valuable insights and solutions to complex challenges faced by modern organizations. His ongoing quest for knowledge and his ability to synthesize data into actionable strategies uniquely position him as a leader in his field, making meaningful contributions that enhance understanding of human behavior within various contexts.
