Reimagining autism research in the U.S.: A synergistic approach between social work, public health, and data analytics

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that requires multifaceted research and interventions. This paper explores the synergistic potential of integrating social work, public health, and data analytics to address challenges in autism research and care in the United States. Social work emphasizes equitable access and community-based interventions, public health provides frameworks for addressing disparities and early detection, and data analytics introduces transformative tools for personalized care and longitudinal tracking. Despite progress in each domain, significant gaps remain, including disparities in diagnosis and fragmented systems of support. This paper proposes a synergistic framework for interdisciplinary collaboration, emphasizing cross-sector partnerships, centralized data sharing, community engagement, and scalable interventions. Policy and practice recommendations focus on enhancing access to services, building technological infrastructure, and promoting autism-friendly policies. By leveraging the strengths of these fields, this approach aims to improve outcomes for individuals with autism, fostering a more inclusive and effective system of care. Keywords: Autism Spectrum Disorder, Interdisciplinary Collaboration, Social Work, Public Health, Data Analytics, Early Intervention.