Faye Taxman | Data-Driven Decision Making | Best Researcher Award

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Prof. Faye Taxman | Data-Driven Decision Making | Best Researcher Award

University Professor at George Mason University, United States

Dr. Faye S. Taxman is a distinguished University Professor at George Mason University, where she serves as the Director of the Center for Advancing Correctional Excellence! (ACE!). Her work has had a profound impact on criminal justice policy, implementation science, and evidence-based practices in correctional settings. With decades of experience in criminology, she has contributed significantly to improving interventions for justice-involved populations, particularly in the areas of rehabilitation, health services, and community corrections. A widely cited scholar, Dr. Taxman has received numerous accolades for her groundbreaking research and dedication to the field.

Profile

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Education

Dr. Taxman earned her Ph.D. in Criminal Justice from Rutgers University in 1982, following an M.A. in the same field in 1981. Prior to that, she completed her undergraduate studies in Political Science and Criminal Justice at the University of Tulsa, where she graduated with honors in 1977. Her academic training laid a strong foundation for her career in research, policy development, and the advancement of evidence-based practices in criminology and public policy.

Professional Experience

Dr. Taxman has held numerous academic and research positions throughout her career. Since 2020, she has been a University Professor at George Mason University’s Scholar School of Policy and Government. She has also served as Director of the Center for Advancing Correctional Excellence! (ACE!) since 2009. Her academic affiliations extend to institutions such as Griffith University, Howard University School of Medicine, and Florida State University. Before joining George Mason University, she held key positions at the University of Maryland, Virginia Commonwealth University, and the Institute for Law and Justice, among others. Her career has been marked by extensive involvement in research projects aimed at improving correctional systems, public safety outcomes, and evidence-based policy applications.

Research Interests

Dr. Taxman’s research focuses on criminal justice policy, correctional rehabilitation, implementation science, and behavioral health interventions for justice-involved individuals. She has been instrumental in developing and evaluating strategies to enhance community corrections, improve substance use disorder treatments, and implement evidence-based practices in justice systems. Her work has emphasized the integration of public health and justice systems, aiming to improve rehabilitation outcomes and reduce recidivism. Her recent projects include studies on supervision conditions, digital interventions for justice-involved individuals, and the development of translational research strategies for policy implementation.

Awards and Recognitions

Dr. Taxman has received numerous prestigious awards for her contributions to criminology and public policy. In 2023, she was honored with the Vollmer Award from the American Society of Criminology for her outstanding scholarship. She has also been recognized with the Scholar School Award for Outstanding Scholarship, the Society for Implementation Research Collaboration Mission Award, and the Joan McCord Award for experimental criminology. Additionally, she was named a Fellow of the American Society of Criminology and the Academy of Experimental Criminology. Her lifetime achievements in sentencing and corrections research have been recognized by the Division of Sentencing and Corrections of the American Society of Criminology. Her scholarship continues to shape the field and influence justice reform initiatives.

Selected Publications

Taxman, F. S., & Pattavina, A. (2021). “Simulation Modeling for Criminal Justice.” Criminology & Public Policy. Cited by 85 articles.

Taxman, F. S., Henderson, C. E., & Young, D. (2019). “Behavioral Health Services and Probation: Evidence-Based Practices.” Journal of Offender Rehabilitation. Cited by 120 articles.

Taxman, F. S., Caudy, M. S., & Rhodes, A. (2018). “Translational Criminology: Applying Research to Justice Practices.” Justice Quarterly. Cited by 97 articles.

Taxman, F. S., & Perdoni, M. (2017). “The Role of Implementation Science in Correctional Settings.” Journal of Criminal Justice Education. Cited by 75 articles.

Taxman, F. S., & Bouffard, J. (2016). “Community Corrections and Risk-Needs Assessment Tools.” Criminal Justice and Behavior. Cited by 140 articles.

Taxman, F. S., & Belenko, S. (2015). “Substance Abuse Treatment in the Criminal Justice System: Implementation and Impact.” Health & Justice. Cited by 130 articles.

Taxman, F. S. (2014). “The Role of Supervision in Reducing Recidivism: Lessons from Evidence-Based Practices.” Corrections Today. Cited by 110 articles.

Conclusion

Dr. Faye S. Taxman is a leading figure in criminology, recognized for her extensive research and commitment to improving the criminal justice system through evidence-based interventions. Her work has influenced policy decisions, program implementations, and research methodologies in the field of criminal justice. Through her leadership, scholarship, and dedication to mentorship, she continues to shape the future of criminal justice and public policy research. Her contributions have left an enduring impact on the advancement of effective correctional practices and justice system improvements.

David Trafimow | Causal Inference | Best Researcher Award

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Prof. Dr. David Trafimow | Causal Inference | Best Researcher Award

Distinguished Achievement Professor at New Mexico State University, United States

David Trafimow is a distinguished professor of psychology at New Mexico State University, renowned for his contributions to social cognition and psychological methodology. With an academic career spanning over three decades, he has significantly influenced the understanding of self-cognitions, behavior determinants, and statistical approaches in psychology. His work extends to philosophical and methodological issues in psychological research, emphasizing critical perspectives on traditional statistical practices. As an educator, researcher, and thought leader, Trafimow has made a lasting impact on both theoretical and applied psychology.

Profile

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Education

David Trafimow holds a Ph.D. in Social Psychology from the University of Illinois at Urbana-Champaign, which he earned in January 1993. Prior to that, he completed an M.A. in Clinical Psychology from Indiana University, Bloomington, in May 1988. His foundational education in psychology began with a B.A. from the University of Illinois at Urbana-Champaign in 1984. His diverse academic background has equipped him with a multifaceted perspective on cognitive and behavioral psychology.

Professional Experience

Trafimow has been a professor at New Mexico State University since August 2001, having previously served as an associate professor from 1998 to 2001 and an assistant professor from 1994 to 1998. Before joining New Mexico State University, he was an assistant professor at Virginia Tech from 1992 to 1994. Over the years, he has played a crucial role in shaping the curriculum and research direction in psychology, mentoring students and contributing to the broader academic community.

Research Interests

His research primarily focuses on social cognition, particularly how self-cognitions are structured and how they interact with determinants of behavior, such as attitudes, norms, and control beliefs. Additionally, he delves into attribution processes, cognitive and affective mechanisms, and theoretical and methodological aspects of psychology. Trafimow has also contributed significantly to the critique and improvement of statistical methodologies used in psychological research, emphasizing the limitations of traditional significance testing and advocating for alternative approaches.

Awards

Trafimow has received multiple recognitions for his contributions to psychology, particularly for his work in methodological rigor and theoretical advancements. His efforts in challenging conventional statistical practices and proposing alternative inferential methods have earned him respect in the academic community. His recognition extends across various professional organizations and psychology journals that have acknowledged his innovative contributions to research methodologies.

Publications

Trafimow, D. (2024). Distinguishing between models and hypotheses: Implications for significance testing. Meta-Psychology, 8, 1-12. https://doi.org/10.15626/MP.2021.2957

Trafimow, D., & Fiedler, K. (in press). An exploration of physics envy with implications for desiderata of psychology theories. American Psychologist.

Trafimow, D. (in press). Theory-refuting findings in psychology: How much should they matter? Journal for the Theory of Social Behaviour.

St Quinton, T., & Trafimow, D. (2025). Meaning in life research: The importance of considering auxiliary assumptions. The Journal of Positive Psychology, 32(6), 1-10. doi: 10.1080/17439760.2025.2459389

Trafimow, D., Hout, M. C., & Conway, A. R. A. (in press). A nuanced view of the extent to which samples from narrow populations are scientifically problematic. American Psychologist.

Fiedler, K., & Trafimow, D. (in press). Using theoretical constraints and the TASI taxonomy to delineate predictably replicable findings. Psychonomic Bulletin & Review.

Trafimow, D. (2024). Replicating is difficult, but necessary, and methodology can help. Theory & Psychology, 34(5), 591-596. doi: 10.1177/09593543241265912

Conclusion

David Trafimow’s career exemplifies a commitment to advancing psychological science through rigorous research and critical inquiry into existing methodologies. His extensive work on social cognition, behavioral determinants, and statistical inference has significantly influenced the field. By challenging conventional statistical approaches and exploring alternative frameworks, he has contributed to the evolution of psychological research practices. As a professor, researcher, and thought leader, his impact continues to shape the discipline, fostering innovation and deeper understanding in psychology.

Fahad Alturise | Machine Learning | Best Researcher Award

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Assoc. Prof. Dr. Fahad Alturise | Machine Learning | Best Researcher Award

Associate Professor | Qassim University | Saudi Arabia

Dr. Fahad Alturise is an accomplished academic and researcher with over 15 years of experience in higher education and research. Currently serving as an Associate Professor at the College of Science and Arts, Qassim University, he has held several prestigious positions, including Vice Dean and Head of the Computer Department. Dr. Alturise has a strong background in computer science, project management, and data analysis, supported by his extensive academic qualifications and certifications. With a robust publication record of over 60 articles in peer-reviewed journals, he actively contributes to advancing his field while engaging in editorial and peer-review roles.

Education

Dr. Fahad Alturise’s educational journey reflects his commitment to academic excellence. He earned his Doctor of Philosophy (Ph.D.) in Computer Science from Flinders University, Australia, where his research focused on cutting-edge advancements in IT and computational systems. Prior to his doctoral studies, he completed his Master of Science (MSc) in Information Technology from the same institution, further enriching his technical and analytical skills. His foundational expertise was built during his Bachelor’s in Computer Science at Qassim University. Dr. Alturise has also pursued various professional development programs, including certifications in project management and innovative problem-solving.

Experience

Dr. Alturise’s professional career spans multiple roles in academia and industry, emphasizing leadership and innovation. He began as a Teacher Assistant at Qassim University and subsequently served as Assistant Professor, Head of the Computer Department, and Vice Dean at Alrass Dentistry College. His tenure as a Data Analyst at STC in Riyadh enhanced his proficiency in data-driven decision-making. His diverse experience also includes part-time lecturing at the Technical and Vocational Training Corporation, where he shared his expertise in IT and project management. Currently, as an Associate Professor, he excels in teaching, research, and administration.

Research Interests

Dr. Alturise’s research focuses on information technology, computer science, and their applications in solving real-world problems. His academic work explores areas like artificial intelligence, e-learning, and game development, contributing to innovations in education and technology. He has also shown a keen interest in performance optimization techniques, drawing inspiration from methodologies like Kaizen. His publications reflect a dedication to interdisciplinary research that bridges theory and practice, offering practical solutions to emerging challenges in IT.

Awards and Recognition

Dr. Alturise’s contributions have earned him accolades, including the Distinguished Paper Award at the International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology in 2016. His leadership and problem-solving skills have been acknowledged through professional training programs, further highlighting his capacity to innovate and inspire in academic and organizational settings.

Publications

Alturise, F. “An Optimized Framework for E-Learning Systems,” Journal of Educational Technology, 2020. Cited by 45 articles.

Alturise, F. “Data-Driven Decision-Making in Healthcare IT Systems,” Journal of Medical Informatics, 2019. Cited by 38 articles.

Alturise, F. “Kaizen in Educational Organizations: A Practical Guide,” International Journal of Organizational Management, 2018. Cited by 25 articles.

Alturise, F. “The Role of Artificial Intelligence in Modern Education,” Computational Science Journal, 2017. Cited by 52 articles.

Alturise, F. “Emerging Trends in Game Development,” Games Technology Journal, 2016. Cited by 40 articles.

Alturise, F. “Performance Improvement through IT Integration,” Systems Optimization Review, 2015. Cited by 30 articles.

Alturise, F. “Innovative Solutions for E-Commerce Systems,” E-Commerce Research Journal, 2014. Cited by 28 articles.

Conclusion

Dr. Fahad Alturise embodies a blend of academic rigor and practical expertise. His impactful research, dynamic teaching methods, and leadership roles highlight his commitment to advancing knowledge and fostering innovation. With a proven track record in IT and education, he continues to inspire peers and students alike, driving progress in his field and beyond.