Center News

On April 3, 2024, Hari Srinivasan presented the keynote address in the Duke Center for Autism and Brain Development's 2023-24 Autism Seminar Series, in recognition of Autism Acceptance Month. 

The article "Developing an inclusive campus for autistic students" appears in the March 2024 issue of the Journal of Diversity in Higher Education. The paper discusses specific ways that colleges can become more accessible for autistic students.

Dr. Geraldine Dawson is quoted in this blog post from IEP resource website A Day in Our Shoes with Lisa Lightner.

Dr. Geraldine Dawson is interviewed on the ABCs of Disability Planning podcast about novel digital health approaches for autism screening and outcome monitoring.

Dr. Dawson is interviewed on the European Medical Journal Reviews podcast in a two-part episode.

Going to the doctor can be stressful for anyone. All that poking and prodding, the lab work, and the concern that brought you to the clinic in the first place can combine to make even a regular checkup a taxing experience.  Now imagine arriving for that same clinical visit with the unique sensitivities and needs that can accompany an individual on the autism spectrum. 

 A Well-Rounded Experience in Assessment, Intervention, & Supervision to Better Serve Families Base running is not typically mentioned in relation to the clinical psychology training experience, unless the trainee happens to be a learner at the Duke Center for Autism and Brain Development. For Helen Root, Ph.D., who was part of the 2022-2023 class in Duke University Medical Center’s Clinical Psychology Doctoral Internship Program, rounding the bases was indeed a highlight of her time at Duke.

Clinical Research that Improves Access to Healthcare and Empowers Caregivers Adesuwa Emovon has always enjoyed working with children, whether it involved teaching them a new concept or playing games. As a graduate student, she sought out the Duke Center for Autism and Brain Development to broaden her experience in working with children with disabilities and their families and learn more about research. 

Duke AI Health Fellow In the United States, one in 36 children is diagnosed with autism. Early detection of autism ensures timely access to intervention, and accurate screening is a critical first step to diagnosis and linkage to early services. Sophisticated computational tools, such as machine learning models, may increase autism screening accuracy and help reduce disparities in access to diagnosis and intervention.