SMARTHEP (Project Scientist in Charge, Caterina Doglioni)
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SMARTHEP is a consortium formed by academic and industrial partners on
scientific, technological, and entrepreneurship aspects of real-time analysis.

The focus of SMARTHEP is a central question in a data-rich environment: how to
make the most of the available data to take decisions fast and efficiently,
making the most of the available data. The main purpose of SMARTHEP is to train
a new generation of inter-sector researchers and give them the tools to tackle
this challenge, by processing large datasets in real-time, aided by Machine
Learning and hybrid computing architectures.

The results of SMARTHEP will benefit the HEP community in providing cutting edge
technology and algorithms for the area of data selection (triggering) and
particle detection, leading to precise measurement of the fundamental
constituents of matter and enabling the discovery of new physics processes. The
results of SMARTHEP include concrete commercial deliverables for industry in the
fields of transport, finance and industrial decision-making processes.

The training aspect of this work is crucial to SMARTHEP. The young investigators
working within SMARTHEP will also be prepared as professionals in the upcoming
and highly demanded area of Data Science. They will have the chance to gather
work experiences and training in industry during their PhD degree and establish
connections to companies, as well as acquire the skills that are necessary to a
career in either industry or academia.