quantitative

King’s investigates the use of quantitative modelling to predict innovation programme success.

This work was motivated by Professor Elena Simperl’s experience of leading and supporting competitive EU-funded projects that offer business incubation and acceleration services to data-centric startups and SMEs (namely ODINE, DataPitch and DMS Accelerator projects). One of the key strengths of such programmes lies in their ability to attract, select and effectively allocate resources towards the most promising companies.