Research Symposium at the ASHA Convention

Purpose

Resources

The Research Symposium brings together clinicians and researchers at the ASHA Convention to discuss current research that has important implications for the study of communication sciences and disorders (CSD). Each year's symposium focuses on a specific research theme. Research is presented by invited speakers who are experts in their fields.

ASHA offers a Research Mentoring-Pair Travel Award (RMPTA) in conjunction with this program to provide a research mentoring experience to graduate students and postdoctoral fellows. Awarded pairs receive ASHA Convention registration fee waivers and a travel stipend, as well as the opportunity to engage in mentored activities before, during, and after Convention.

The Symposium is an annual program that has been offered since 1990. The Symposium and the associated travel award are funded, in part, by grant #R13DC003383 from the National Institute on Deafness and Other Communication Disorders (NIDCD).

Participants

The Symposium is open to all attendees of the ASHA Convention who are interested in current research.

Format

The Symposium consists of several talks related to a research topic of importance to CSD with opportunities for discussion between clinicians, students, junior investigators and senior investigators. The 2023 Symposium is scheduled to take place all day Saturday, November 18 as part of the in-person ASHA Convention in Boston, Massachusetts.

Coordinated by Jordan Green, PhD (MGH Institute of Health Professions), the 2023 Symposium topic is Artificial Intelligence (AI) in CSD. AI is being rapidly integrated into most health professions and is poised to transform many aspects of clinical practice in CSD. Leveraging the full potential of AI, however, requires new experimental approaches and data capture tools, and new paradigms for implementation and educating clinical practitioners. The Research Symposium will highlight the work of several multidisciplinary research teams who are integrating knowledge among clinical practitioners, bioengineers, computer scientists, and data scientists to advance opportunities and transform clinical practice in CSD.