The Data Science and Learning Division (DSL) tackles advanced scientific problems where data analysis and artificial intelligence can provide critical insights and accelerate discovery.
A primary thrust of the division is to build cross-cutting capability at Argonne to tackle advanced scientific problems where data analysis and artificial intelligence (AI) are key problem solving strategies. The division creates a home for expertise in data intensive computing and machine learning, and builds cross-cutting teams that integrate mathematics, computer science, advanced architectures, and domain science to solve problems in science and engineering. It provides an interdisciplinary home for new data science and AI programs and projects, often in collaboration with the Computational Science and Mathematics and Computer Science Divisions, and the Argonne Leadership Computing Facility.
The division is home to an elite core of staff already at Argonne that are working on Data Science and Machine Learning, with matrixed staff from all areas of Argonne creating the key connections needed to develop data science and AI applications. The DSL division builds on and expands the approximately 200 staff at Argonne working on over 60 data intensive and machine learning projects, and forms partnerships with AI and data science activities at universities and industry.