Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.

  • AAB: Applied Animal Behavior

    AUT: Autism

    BPN: Behavioral Pharmacology and Neuroscience

    CBM: Clinical/Family/Behavioral Medicine

    CSS: Community, Social, and Sustainability Issues

    DDA: Developmental Disabilities

    DEV: Behavioral Development

    EAB: Experimental Analysis of Behavior

    EDC: Education

    OBM: Organizational Behavior Management

    PCH: Philosophical, Conceptual, and Historical Issues

    PRA: Practice

    TBA: Teaching Behavior Analysis

    VRB: Verbal Behavior

    DEI: Diversity, Equity, and Inclusion

    SCI: Science

    OTH: Other

46th Annual Convention; Washington DC; 2020

Event Details

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Invited Panel #55
Computer Technology and the Future of Behavior Analysis: A Panel With Discussion
Saturday, May 23, 2020
11:00 AM–11:50 AM
Marriott Marquis, Level M2, Marquis Ballroom 6
Area: SCI; Domain: Theory
Chair: Jonathan W. Pinkston (Western New England University)
CE Instructor: Darlene E. Crone-Todd, Ph.D.
Panelists: CASEY J. CLAY (University of Missouri), DARLENE E. CRONE-TODD (Salem State University), AARON J. FISCHER (University of Utah)

This panel will be a discussion of Dr. Ellie Kazemi’s SQAB Tutorial on the utility of computer technologies in behavior analysis.

Instruction Level: Intermediate
Target Audience:

Board certified behavior analysts; licensed psychologists; graduate students.

Learning Objectives: At the conclusion of the presentation, participants will be able to: (1) describe contemporary applications of computer technologies in behavior analysis; (2) describe the research questions to be addressed by computer technologies; (3) describe resources to leverage computer technologies in behavior analysis.
CASEY J. CLAY (University of Missouri)
DARLENE E. CRONE-TODD (Salem State University)
AARON J. FISCHER (University of Utah)



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