Speaker
Description
Growing amounts of research data require new computing solutions to manage increased data storage, utilisation, and analysis capabilities. The EU-funded SMARTHEP project, where Lund is one of the founding participants, will break from the traditional paradigm of ‘first collect data, then analyse it’ and move towards real-time analysis (RTA) where data collection and analysis become synonymous, so that unprocessed information that would be expensive to store can be discarded. As a consortium formed by academic and industrial partners on scientific, technological, and entrepreneurship aspects of RTA, the SMARTHEP project will train a new generation of inter-sector researchers and give them the tools to process large datasets in real-time, aided by machine learning and hybrid computing architectures. In this contribution we will outline how the network has started, its plans and possible ways to collaborate with other Swedish institutes.
