The Learning Variability Network Exchange (LEVANTE) brings together researchers from around the world aiming to capture the richness and diversity of child development and learning.
Only by conducting open-access, cutting-edge research can we enhance our knowledge on learning and developmental variability.
Delve into the science of learning variability, explore cutting-edge research, and discover practical insights to enhance learning for all.
Home » Data Coordinating Center
The Data Coordinating Center (DCC), directed by Michael C. Frank at Stanford University, is charged with the creation, implementation, and maintenance of the measurement and data storage frameworks developed for LEVANTE. In its capacity, the DCC vets assessment measures including psychometric analyses to determine validity and norming. It further manages the integration of the administration platform and coordinates the design, build, and execution of the infrastructure for LEVANTE data collection, storage, and access.
Michael C. Frank is the Benjamin Scott Crocker Professor of Human Biology in the Department of Psychology and the Director of the Symbolic Systems Program at Stanford University. He studies children’s language learning and development, focusing on using large-scale datasets to understand learning variability and consistency across cultures. He served as President of the Cognitive Science Society, has edited for journals including Cognition and Child Development, and is current co-Editor in Chief of the Open Encyclopedia of Cognitive Science. Michael has been elected to the National Academy of Medicine and the American Academy of Arts and Sciences (2024).