Introduction to AiiDA, the ADES Model and the Concept of Provenance - 2017

Learn about AiiDA (Automated Interactive Infrastructure and Database for Computational Science) through this 37-minute lecture delivered by Dr. Giovanni Pizzi at the 2017 ICTP conference. Explore the fundamental concepts of the ADES (Automated Data and Execution System) model and understand how provenance tracking works in computational materials science workflows. Discover how AiiDA enables researchers to manage complex computational workflows while maintaining complete data lineage and reproducibility. Gain insights into the infrastructure design that supports automated execution of computational tasks and the systematic organization of scientific data. Understand the importance of provenance in computational science and how it ensures transparency and reproducibility in research workflows. This presentation provides essential knowledge for researchers working in computational materials science who need to manage large-scale computational projects with proper data management and workflow automation.