This paper exploits novel data on the degree of automatability of approximately 100 skills and abilities collected through an original survey of experts in AI, and link them to occupations using information on skill and ability requirements extracted from O*NET. Similar to previous studies, this...

This report presents a methodology to classify skill requirements in online job postings into a pre-existing expert-driven taxonomy of broader skill categories. The proposed approach uses a semi-supervised Machine Learning algorithm and relies on the actual meaning and definition of the skills....

This paper provides a first assessment of the degree to which public research contributes to innovative entrepreneurship, using data on start-ups and venture capital (VC). It looks at academic start-ups founded by recent undergraduates and doctorate students or researchers. It shows that...

This report investigates the gender gap in the funding of innovative start-ups across OECD and BRICS countries using a detailed micro-dataset on start-ups and their founders. Results from empirical analysis show that start-ups with at least one woman in the team of founders are less likely to...

The report presents new cross-country descriptive evidence on innovative start-ups and related venture capital investments drawing upon Crunchbase, a new dataset that is unprecedented in terms of scope and comprehensiveness. The analysis employs a mix of different statistical techniques...