Research Interests: Juvenile justice, delinquency, media coverage of crime, mass episodic violence, deterrence theory.
Bio: Dr. H. Jaymi Elsass earned her B.S. in Sociology in 2008 from the University of Texas at Austin, and M.S. in Criminal Justice in 2010 as well as Ph.D. in Criminal Justice in 2015 from Texas State University. While completing her Ph.D., Dr. Elsass received the Student Paper Award from the Academy of Criminal Justice Sciences for her coauthored work on the Boston bombing. During graduate school, she published research in a number of academic journals and edited volumes as well as a co-authored book entitled "Mass shootings: Media, myths, and realities." The book received a Choice Award as an Outstanding Academic Title for 2016 from the American Library Association and received an "essential" designation, which is their highest ranking. Her dissertation, entitled "Juvenile delinquency outliers: An analysis of high-rate offenders and pure conformists," was chaired by Dr. Mark Stafford and committee members included Drs. Donna Vandiver, Daniel Mears, and Wayman Mullins. She is currently a lecturer in the School of Criminal Justice at Texas State University and serves as program coordinator for the Round Rock campus.
Research Interests: Criminological theory; race and the criminal justice system; policing; organizational communication in policing; qualitative research; evaluation research in criminal justice; policing and mental health; feminist criminology; communities and crime/crime and place.
Bio: Angela M. Jones is an Assistant Professor at Texas State University. She joined the faculty in 2016 after serving as a Post-Doctoral Research Associate at Barnard College, Columbia University. She earned her Ph.D. in Psychology from the Graduate Center, CUNY. Her research interests lie at the intersection of psychology and the legal system. She has explored errors in juror decision making that can lead to wrongful convictions and methods to reduce such errors. More recently, Dr. Jones is interested in using technological advancements to inform understanding of eyewitness identification and to identify methods that can increase eyewitness accuracy during the investigative process.
Research Interests: Obesity, Nutrition, Liver Cancer, Prostate Cancer, Inflammation.
Bio: Dr. Price is an Assistant Professor of Nutrition at Texas State University. Dr. Price earned her B.S. in Dietetics and Ph.D. in Nutritional Sciences from The University of Texas at Austin. Thereafter, she was awarded a postdoctoral fellowship at UT Austin to continue her research on dissecting the obesity-cancer link. Dr. Price’s research focuses on the impact of obesity on prostate cancer, liver cancer, and non-alcoholic fatty liver disease. Understanding these relationships is critical due to the higher incidence rates of obesity and cancer among individuals in Central and South Texas. Dr. Price’s research integrates basic science and translational research by employing cell culture, animal models, and biospecimen analysis as it relates to obesity, cancer, and fatty liver disease. The goal of this work is to optimize nutritional strategies to reverse the impact of obesity on cancer progression.
Research Interests: Social Sciences, including early childhood education, public education (K-12), higher education, entrepreneurship, leadership, workforce development, STEM; Populations include: first-generation college students, teachers (pre-K through college), families and students with the following demographics: migrant, immigrant, refugee, low-income, special education, gifted, gender (male/female/other), race/ethnic minority groups, and bilingual/ELL. Studies include quantitative and qualitative research designs. Research types: scholarship (e.g., for peer-review journals), program evaluation (e.g., formative and summative), and best practices of high performing sub-units within a research population.
Research Interests: Health disparities; gerontology; minority aging; mental health service utilization; technology-based educational intervention; advanced statistical methodologies (e.g., HLM, SEM and longitudinal data analysis).