This research examines how startup founders' academic knowledge, and knowledge gained through startup founding experience, signal investors and attract investments. We further examine, for both financed and non-financed startups, whether these signals are associated with the startup's...

Global warming, sea level rise, and extreme weather events have made climate change a top priority for policymakers across the globe. But which policies are best suited to tackle the enormous challenges presented by our changing climate? This Article proposes that policymakers turn to prediction...

We study the association of startup firm spending with firm survival. We propose that spending per employee (the “normalized burn rate”) captures entrepreneur's ability to avoid failure better than total spending (the popular “burn rate”). We derive an analytical model to describe how...

I theoretically develop and empirically investigate the role of industry and startup experience on the forecast performance of 2,304 entrepreneurs who have started new businesses. Using the Kauffman Firm Survey I show that industry experience is associated with more accurate and less biased...

Leadership behaviors of wildland firefighting teams engaged in firefighting activities are “shared” despite the existence of a highly bureaucratic and hierarchical organizational structure. This paradoxical type of leadership appears to be based on individual perceptions of the effectiveness...

We estimate the relationships between innovation and Human Resources in Europe using theEuropean Innovation Scoreboard of the European Commission for 36 countries for the period 2010-2019. We perform Panel Data with Fixed Effects, Random Effects, Pooled OLS, Dynamic Panel and WLS. We found that...

In this article we investigate the determinants of the European “Most Cited Publications”. We use data from the European Innovation Scoreboard-EIS of the European Commission for the period 2010-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, WLS,...

We propose a simple model where the innovation rate of a technological domain depends on the innovation rate of the technological domains it relies on. Using data on US patents from 1836 to 2017, we make out-of-sample predictions and fond that the predictability of innovation rates can be...

This paper uses some economic modelling techniques to predict the expected arrival date of AGI- Artificial General Intelligence. The average predicted date from this analysis is 2041, with a likely range of 2032 to 2048, and an estimated earliest possible arrival date of 2028, i.e. just 5 years...