Researchers at Cornell University have been awarded a $5.1 million grant from the Autism Data Science Initiative, part of the National Institutes of Health’s broader $50 million program to study autism. The project aims to analyze how existing interventions are used and assess their outcomes to guide the design of future clinical studies.

The funding comes amid federal scrutiny of autism research under the Trump administration, which has previously proposed controversial measures including creating a database of individuals with autism using information from hospitals, pharmacies, and wearable health devices.

Judy Zhong, chief of the Division of Biostatistics at Weill Cornell Medical College, will lead the Autism Replication, Validation, and Reproducibility Center, which will verify findings from other projects funded through the initiative. Zhong’s team plans to use a replication system (R squared), established in 1982, to validate models predicting disease outcomes based on genetic variance and other factors.

“Autism is a very complex condition,” Zhong said. “Our approach emphasizes rigorous scientific replication to ensure reliable results across multiple studies.”

Experts in the field praised the NIH’s approach despite public controversy. Helen Tager-Flusberg, director of Boston University’s Center for Autism Research Excellence, noted that the grants are focused on sophisticated, evidence-based research, contrasting with unproven claims about vaccines or Tylenol that have emerged from the administration.

“The NIH staff have done excellent work developing this research program, ensuring it advances understanding of autism in a scientifically rigorous manner,” Tager-Flusberg said. “The results from these grants are extremely promising for the field, even amid funding challenges and political noise.”

The initiative represents a major step forward in autism research, combining data science, replication studies, and clinical evaluation to better understand the complex biological and environmental factors contributing to the disorder.