Big Data in the Physical Sciences

Main Organizer: Benjamin Joachimi – UCL
Date: January 13th
Location: Royal Society

Forefront research in physics, chemistry, astronomy, and related areas increasingly produces, processes, and analyses very large datasets, with successful outcomes depending critically on the ability to extract information rapidly and with high precision and accuracy. These disciplines are therefore prime exploiters of modern data science concepts but they also push the boundaries of data science applications. The Alan Turing Institute (ATI) will play a key role as a hub that facilitates the knowledge exchange between data science, applications in the physical sciences, and practitioners outside academia.

This ATI summit will bring together researchers, practitioners, industry, and public sector funders, from the ATI joint venture partners as well as the UK-wide community, in order to discuss the requirements, challenges, and opportunities of data science applications in the physical sciences.