Social Cognition and Addiction Neuroscience: (Bruce D. Bartholow). The overall aim of projects in Dr. Bartholow’s lab is to understand processes that increase risk for alcohol use disorder. This is achieved mainly in two types of studies: (1) examining acute effects of alcohol on brain and behavioral responses related to self-regulation, and (2) studying individual differences in subjective and neurophysiological responses to alcohol and alcohol-related cues. Interns will learn generally about the conduct of psychological and psychophysiological research to investigate effects of alcohol on brain and behavioral responses and to examine alcohol cue-reactivity. Interns will learn about experimental laboratory techniques used to test cognitive processes, and will learn about the importance of experimental control. Interns who show considerable promise and initiative will be invited to assist with conference presentations pertaining to project data.

Behavioral Decision Making Lab (Clint Davis-Stober). Dr. Davis-Stober’s lab conducts research within the emerging field of behavioral decision-making. Work in this lab examines how individuals integrate multiple pieces of information when making a decision, the rationality of various decision strategies, and the performance of various decision rules in the context of the linear model. In collaboration with Dr. McCarthy’s lab, Dr. Davis-Stober’s lab has several ongoing projects focused on addiction-relevant decision making: (1) the development of new mathematical models of how individuals choose whether or not to drive under alcohol intoxication, (2) modeling risky sexual decision making, and (3) investigating fundamental changes in choice behavior under alcohol intoxication. Interns working with Dr. Davis-Stober will gain training in mathematical modeling and statistical analyses. In addition, trainees will be exposed to the latest research in behavioral economics and choice modeling as it pertains to addiction research.

Gene-Brain-Behavior Relations Lab (Ian R. Gizer). Research in the lab focuses on genetic contributions to the development of externalizing spectrum disorders, including substance use disorders. Current projects in the lab aim to identify genetic variants associated with alcohol dependence and related behavioral traits (e.g., impulsivity) and use molecular genetic data to understand the relations between such traits. Interns will learn about current molecular genetics methods and how such data can be used to inform our understanding of the biological mechanisms that contribute to the etiology of addictive behaviors. Using existing datasets, interns will gain hands-on experience formulating and conducting molecular genetic analyses beginning with preliminary quality control analyses to conducting tests of genetic association between individual variants and biological pathways and alcohol and other substance use disorders.

Alcohol Cognitions Lab. Dr. McCarthy’s research is focused on pharmacological, personality, and genetic factors that influence risk for alcohol and substance-related problem behavior. A particular emphasis of his work is the acute effects of alcohol on decision making, impulsivity, working memory, and perceptions of problem behaviors associated with alcohol use (e.g., driving after drinking, risky sexual behavior). An ongoing R01 project is being conducted in collaboration with Dr. Tim Trull and the Personality and Emotion Laboratory, and combines laboratory and EMA methods for examining risk and decision making processes about driving after drinking. Finally, a set of collaborative projects with Dr. Clint Davis-Stober is oriented toward testing the acute effects of alcohol on basic decision making properties (rationality, process factors) and adapting cutting-edge behavioral economic decision models to address important questions in alcohol-related decision making. Dr. McCarthy is Co-Director of the Training Program, and is responsible for training in grant preparation and coordinating grant writing workshops for pre and post-doctoral trainees.

Drug Motivation Laboratory (Thomas M. Piasecki). Research in this lab focuses on using Ecological Momentary Assessment methods to examine alcohol and tobacco use. Interns in this lab can get experience conducting secondary analyses of data from diary studies involving real-time assessments of alcohol and tobacco use. The data sets permit investigation of the event-level correlates and consequences of alcohol use and investigation of moderating contextual and person-level factors. Interns will receive training in the logic and analysis of electronic diary data. In consultation with the supervisor, interns will identify specific research questions that can be addressed with existing diary data, read and discuss relevant scholarly articles, conduct statistical analyses, and prepare scientific reports.

Alcohol Health and Behavior Lab (Kenneth J. Sher). Ongoing work in the Sher lab is aimed at characterizing the predictors and consequences of heavy alcohol use in young adults. We utilize several different sources of data including data sets from studies conducted here at the University of Missouri as well as national, public-use data sets. We are particularly interested in how individual vulnerability interact with various kinds of environmental contexts to determine the degree to which young men and women drink heavily and the effects of such heavy drinking on health, relationships, and role functioning. We also study various ways to improve the diagnosis of alcohol use disorders. Interns will learn about the epidemiology of drinking and alcohol use disorders in young adulthood and major etiological theories of alcoholism. Interns will develop their skills in bibliographic research, data analysis and use of statistical software, and the preparation of scientific reports.

Behavioral Genetics of Alcohol Use and Other Addictive Disorders (Wendy Slutske). The specific goals of the project are to characterize the contribution of genetic and environmental factors to different milestones in the development of alcohol use and other addictive disorders (i.e. initiation, regular use, disorder), and the extent to which these are shared across different problems of addiction (to alcohol, nicotine, cannabis, and gambling). We utilize several different sources of data including data sets from several twin studies conducted in Australia as well as national, public-use data sets. Interns will learn about the twin study method and become familiar with the behavioral genetic literature on alcohol use and other addictive disorders. Participating interns will develop a research question, learn how to use statistical packages such as SPSS, SAS, or Mplus to conduct analyses of twin-study data, and will learn how to prepare a report to summarize their findings.

Cost Effective Sampling for Social Network Data to Minimize Measurement Error (Douglas Steinley). Research in this lab focuses on key methodological challenges associated with social network analysis, especially as applied to alcohol use. These include (a) the assessment of the sensitivity of network statistics and model parameters to various types of missing data under different sampling schemes, (b) develops the first notions of effect sizes and power analysis for social network methodology, and (c) cost-effective sampling schemes. The methodology involves computer simulations coupled with advanced combinatorial data analytic approaches. Depending upon the qualifications and interests of the intern, he or she could be involved in conducting computer simulations (primarily on a MATLAB platform) or implementing recommendations that stem from the simulations on available social network data sets.

Personality and Emotion Laboratory (Tim Trull). The overall aim of ongoing work in this lab involves a series of NIH-funded projects assessing alcohol use, cannabis use, and self-harm as emotion regulation strategies among individuals high in affective instability/emotion dysregulation. Studies also assess craving, pain, mood, impulsivity, and dysregulated behavior in daily life. Interns will gain valuable experience interacting with self-report, physiological, and behavioral data collected in daily life from clinical participants. Participating interns can expect to learn more about the data collection process of a research study and ethical treatment of human subjects. Further, interns will become familiar with statistical packages such as SAS, SPSS, MPlus, as well as smartphone and wireless sensor technology.