Association for Behavior Analysis International

Research has shown that parents of children with ASD are among the most stressed as compared to all other parents, including those who have children with other psychiatric conditions and developmental disabilities (Hayes & Watson, 2013). Parents of children with ASD are chronically stressed because the demands of the family environment often exceed the parent’s ability to cope. There are few evidence-based interventions available for professionals to use with parents of a child with ASD: some use cognitive therapies, such as meditation, some use social support to reduce stress and mental health problems, and others use implement parent training to improve child behavior. Few if any combine both mental health and behavioral approaches, and none of these are designed for implementation by school personnel. This presentation describes findings from a multi-year transdisciplinary investigation into the most common stressors for parents of preschool children with ASD attending a CABAS® model school. Specifically, in two studies we surveyed parents to determine their reported levels of stress and common stressors, as well as parents’ mental and physical wellbeing, self-care, and self-efficacy skills. In the first study we also examined mother-child interactions during free-play and demand situations in order to determine possible target behaviors for intervention. Implications of the findings and suggestions for interventions will be discussed.

Those interested in parent education and interventions to help parents cope with the stresses of parenting a child with ASD. These may include practitioners, educators, researchers, or parents themselves.

Advances in genetics, molecular biology, and cognitive neuroscience offer hope for personalized treatment and improved outcomes in those with autism spectrum disorder (ASD). However, the promise of precision medicine is limited by a lack of mechanistic models that explain phenotypic and etiological heterogeneity; instead of using such models to identify subgroups likely to respond to specific treatments, the field relies on service availability, trial-and-error, and clinical judgment to make treatment decisions. In line with the computational psychiatry objective, my research integrates mathematical models of behavior and brain activity to establish neurocognitive models that can successfully predict individual social and nonsocial learning profiles. Specifically, I am formally comparing the suitability of various computational models to capture selective deficits in social learning of individuals with ASD, as well as variability in both social and nonsocial learning across typically developing youth and those with ASD. Identifying how these model-based predictions are implemented in the brain will allow us to identify neural architecture underlying learning in therapeutically relevant contexts. The long-term goal of this research line is to apply these computational models to inform, refine, and individualize diagnosis, education, and treatment of youth with ASD.

Board certified behavior analysts; licensed psychologists; graduate students.

I am an Assistant Professor of cognitive neuroscience in the Psychology department at George Washington University (GWU). I am also affiliated with the Autism and Neurodevelopmental Disorders Institute at GWU. My research combines computational and neuroscientific methods to understand the neurobiological mechanisms underlying learning in neurotypical and clinical populations, especially autism spectrum disorder. I have expertise in designing naturalistic tasks to assess social decision making in behavior and brain function, conducting longitudinal clinical studies, computational modeling and developmental cognitive neuroscience. I have recently been awarded the Bridge to Independence Award by the Simons Foundation for Autism Research to study learning in autism with a computational neuroscientific approach and its implications for treatment.

Autism spectrum disorder (ASD) is marked by social communication and interaction impairments and restricted and repetitive behaviors (RRBs), yet little is understood about the etiology of these impairments and there are few successful treatment interventions. The expression and severity of social impairments can vary widely across individuals, so more objective bio-behavioral markers that measure the process of how interactions unfold over time will greatly enhance our understanding and could lead to targeting of interventions to particular subgroups of patients. Engagement in restrictive and repetitive behaviors can compound the social communication and interaction difficulties, so a fuller understanding of the contextual factors that influence the expression of RRBs is also need. In this talk, I argue that social synchrony may be a useful dynamic bio-marker of social ability in children and adolescents with ASD. The relevance of social synchrony and coupled oscillator-based modeling of synchronization for understanding social impairment in ASD will be discussed and synchronization ability for spontaneous and intentional interpersonal coordination in children and adolescents with and without ASD will be compared. In addition, I will present data that evaluates the relationship between synchronization ability and more traditional clinical and social cognitive measures of social ability and evaluate the influence of social and motor context on the presentation of RRBs and language production during conversation. Finally, the promise of social synchronization ability for providing a measure with heightened resolution to identify the essential qualities of social performance in naturalistic situations and isolate underlying neural mechanisms that may be disrupted in ASD will be discussed and directions for future research and potential interventions outlined.

Board certified behavior analysts; licensed psychologists; graduate students.

In 1892, William James brought Hugo Münsterberg from Freiburg to direct the new, Harvard Psychological Laboratory that James had created in the Philosophy Department. Münsterberg had trained under William Wundt in Leipzig, who had pioneered an experimental method to explore the relationship between mental events and physical experience. The New Psychology banished the old method of introspection. Instead, it relied on highly controlled experiments with equipment borrowed from the domains of physics and physiology. Researchers studied the psychology of the senses, the timing of mental acts, judgement, memory, and attention. Starting with these “prism, pendulum, and chronograph philosophers,” as James called them, this talk will conclude with B. F. Skinner and his experiments on operant conditioning, reinforcement, and learning. Special attention will be paid to early apparatus such as reaction keys, prototype operant chambers, cumulative recorders, and teaching machines. The apparatus, laboratory records, memoranda, and correspondence of James, Munsterberg, and Skinner survive at Harvard University and can be accessed by scholars interested in the development of their thought.

Board certified behavior analysts; licensed psychologists; graduate students.

Sara Schechner, Ph.D. is the David P. Wheatland Curator of the Collection of Historical Scientific Instruments at Harvard University, where she is also on the faculty of the History of Science Department.  She has served as Secretary of the Scientific Instrument Commission of the International Union of History and Philosophy of Science and Technology.  She has published widely on the history of astronomy, scientific instruments, and material culture and has curated numerous exhibitions, including several on the history of psychology.

Schechner earned degrees in physics and the history and philosophy of science from Harvard and Cambridge.  Before returning to Harvard, she was chief curator at the Adler Planetarium in Chicago, and curated exhibits for the Smithsonian Institution, the American Astronomical Society, and the American Physical Society.  Schechner’s research, teaching, and exhibition work has earned her many awards.  She is the 2019 recipient of the Paul Bunge Prize from the German Chemical Society and the German Bunsen Society for Physical Chemistry, which is regarded worldwide as the most important honor in the history of scientific instruments.  She has also received the prestigious LeRoy E. Doggett Prize for Historical Astronomy from the American Astronomical Society, the Joseph H. Hazen Education Prize of the History of Science Society, and the Great Exhibitions Award of the British Society for the History of Science.

Despite the rise of nicotine vaping and its recent public scares, cigarette smoking remains the single most preventable cause of premature death in the USA and for many other parts of the world. Smoking kills over 7 million people a year. Smoking fits well with the principles of applied behavior analysis because it is a highly repetitious behavior maintained by its consequences. Early applications of functional analysis and conditioning led to promising treatments for helping people stop smoking but as group and individual face-to-face therapies they were hampered high intensity, cost, and low scalability. Fortunately, the rise of digital technologies and telehealth has a recreated the ability for provide behavioral therapies for smoking cessation on a broad scale at lower cost. Acceptance and Commitment Therapy (ACT), a contemporary form of clinical behavior analysis based on Skinner’s philosophy of Radical Behaviorism, is becoming a prominent therapeutic approach to digital and telehealth delivered smoking cessation. ACT teaches functional analysis, present moment awareness, and values-based living to help people cope with urges and stay committed to living smoke free. I will show how my research team translates ACT principles into concrete and highly accessible treatment programs on platforms including telephone-delivered behaviorial coaching, websites, smartphone apps, and chatbots for smoking cessation. This translational research is an iterative process of expert clinician input, user testing, and rapid prototyping. Once developed, we test each of these delivery platforms in both small and large-scale randomized controlled trials comparing the ACT program with standard cognitive behavioral programs. I will share the latest results of these trials and how our interventions have already reached over 50,000 people. I will close with highlighting the future directions of our research, including applications to treatment of obesity.

Board certified behavior analysts; licensed psychologists; graduate students.

Dr. Jonathan Bricker’s passion is to scale up behavioral therapies into high reach public health intervention programs.  He is an internationally recognized scientific leader in the behavioral therapy called Acceptance and Commitment Therapy (ACT). He focuses ACT on skills for self-control, particularly for quitting smoking and other addictions. His programs have been developed and tested on many platforms, including apps, chatbots, websites, and telephone coaching that reach thousands of people daily. Rather than encouraging people to ignore cravings, his approach to ACT is to focus on becoming aware of triggers for cravings and choosing not to act on them. His smoking cessation programs have achieved success rates that are double that of other programs—cutting cigarette use by 75 percent. Dr. Bricker has over 85 scientific publication and has received $14 million in US Government NIH grants, predominantly for WebQuit, iCanQuit and the TALK study of Acceptance and Commitment Therapy for smoking cessation. His research and expert testimony was instrumental in Washington State passing a law to increase the minimum age of tobacco sales to 21.

He founded and leads the Health And Behavioral Innovations in Technology lab (which goes by the apt acronym: HABIT), which is part of the Public Health Sciences Division, at the Fred Hutch Cancer Research Center in Seattle, Washington. Dr. Bricker’s expertise in his field has led him to his current role of senior editor of the journal, Addiction. His TEDx talk, “The Secret to Self-Control” has been viewed nearly 5 million times, and has been translated into ten languages.

Behavior can be defined as anything a person does. Understanding everyday processes and why we do things the way we do is often not analyzed but is taken for granted as this is just how we do it. Lean Six Sigma can be intimidating to those who are just learning about the concept due to the overwhelming amount of information on this topic. But it doesn’t have to be! Lean Six Sigma is a process improvement methodology designed to eliminate problems, remove waste and inefficiency, and improve working conditions to provide a better response to customers' needs. Currently healthcare, finance, manufacturing, IT and other field are using Lean Six Sigma. Even complete strangers to Lean Six Sigma can gain a working knowledge of how the methodology works. They need only develop a basic Lean Six Sigma literacy by becoming acquainted with the fundamentals. This session will help start your journey towards becoming successful using Lean Six Sigma with easy-to-understand methods and tools that can be applied to behavior analytic principles for overall business process improvement, quality management and healthy behavior change.

Anyone interested in learning about Lean Six Sigma and how to apply it to their practice.

Jennifer is the Director of the Performance Improvement Department at the Medical University of South Carolina and a retired Air Force E9 Chief Master Sergeant with 32 years of clinical, administrative, and performance improvement experience in hospital, ambulatory care, and dental facilities in a variety of settings worldwide.

Jennifer is an accomplished trainer and her practical experience has taken her into many types of industries including healthcare, supply chain, service organizations, aerospace, and manufacturing. She is an invited speaker to numerous conferences, webinars, and symposiums.

She supports MUSC’s executive leadership in the deployment of Lean Six Sigma throughout the organization. Jennifer manages Six Sigma Black and Green Belts, develops and teaches curriculum for Lean Six Sigma education, drives system-wide projects, and customizes Lean Six Sigma methodology to best suit MUSC’s needs.

She is an adjunct faculty member in MUSC College of Health Professions and College of Nursing. She has an MBA in Human Resources and BS in Occupational Education Health Administration. Jennifer is a certified Six Sigma Master Black Belt and also holds a LEAN Sensei Certification from Villanova University. Jennifer is a member of the American Society for Quality (ASQ), the Institute of Industrial and System Engineers (IISE), Society of Health Systems (SHS), Institute for Healthcare Improvement (IHI) and Project Management Institute (PMI). She also serves on the American Quality Institute Green Belt International Standard Technical Committee.

Bounded rationality and finite processing capacity result in homo sapiens focusing attention first on the here and now. But many individual and social problems require attention to future costs and benefits, with climate change the most urgent challenge for decisions that fully and justly weigh immediate and certain costs and benefits of business-as-usual or greenhouse gas mitigation efforts against delayed, risky, and often disputed costs and benefits. Psychological theories from prospect theory to hyperbolic discounting and query theory predict that future costs of business-as-usual and future benefits of GHG mitigation efforts will typically get short thrift in such decisions. I present data for three interventions that focus greater attention on future consequences and thus provide entry points for choices that better balance short- and long-term goals and objectives. (1) In trade-offs between immediate and delayed consumption, discounting of future consequences is reduced when choice options with future benefits are made the default and when decision makers are prompted to consider arguments for such choices first (Weber et al., 2007). (2) Individual and country-level data show that citizens may use perceptions of their country’s age to predict its future continuation, with longer pasts predicting longer futures, and longer futures justifying greater investments into sustainability. Thus, framing a country as a long-standing entity can promote pro-environmental behavior (Hershfield, Bang, & Weber, 2014). (3) Finally, individuals’ motivation to leave a positive legacy can be leveraged to increase engagement with climate change and other environmental problems (Zaval, Markowitz & Weber, 2015).

Anyone interested in behavior and behavior change.

Elke Weber is the Gerhard R. Andlinger Professor in Energy and the Environment and Professor of Psychology and Public Affairs at Princeton University. Her research models decision-making under uncertainty and time delay in financial and environmental contexts from a psychological and neuroscience perspective. Her expertise in the behavioral decision sciences has been sought out by advisory committees of the National Academy of Sciences on Human Dimensions in Global Change, an American Psychological Association Task Force that issued a report on the Interface between Psychology and Global Climate Change, and Working Group III for the 5th and 6th Assessment Report of the U.N. Intergovernmental Panel on Climate Change (IPCC). She is past president of the Society for Neuroeconomics, the Society for Judgment and Decision Making, and the Society for Mathematical Psychology. She is a fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, the American Psychological Association, the Association for Psychological Science, the Society for Risk Analysis, the Society for Experimental Psychology. She received the Distinguished Scientific Contribution Award from the Society for Risk Analysis and was also elected to the German National Academy of Sciences.