Various forms of interaction during the process of research and innovation constitute a global network of knowledge generation and diffusion. Countries and their research organizations and individual scientists need to be embedded in this network to participate in global knowledge ows and to...

It is sometimes said that an effect of the COVID-19 pandemic will be heightened appreciation of the importance of scientific research and expertise. We test this hypothesis by examining how exposure to previous epidemics affected trust in science and scientists. Building on the “impressionable...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

A major source of research funding for university professors are competitive research grants. With focus on Luxembourg, we present results from a difference-in-difference analysis which show that research grants by the Luxembourg National Research Fund (FNR), the central research funding agency...

In recent years, crowdfunding has attracted the attention of tech startups. It has become a good alternative way to readily raise funds, especially during the early startup stages. However, in the case of mass intelligence, it is quite difficult to ensure the accuracy and reliability of...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

We investigate the impact of industry engagement on the direction of academic science. We apply the framework of the research agenda to assess to which extent industry engagement shifts the costs and benefits of pursuing and adopting research topics. Our empirical analysis, based on a survey of...

It is sometimes said that an effect of the COVID-19 pandemic will be heightened appreciation of the importance of scientific research and expertise. We test this hypothesis by examining how exposure to previous epidemics affected trust in science and scientists. Building on the “impressionable...

The paper draws on evidence of predatory publishing obtained from the 4 year-long Harbingers research study of the changing scholarly communication attitudes and behaviour of early career researchers (ECRs). The project featured longitudinal interviews for its first 3 years with 116 ECRs...

This study aimed to find out how academic assets are interconnected with firm creation by academic staff at different academic life-cycle stages. The applied theoretical setting integrated resource-based and life-cycle explanations of academic entrepreneurship. A longitudinal whole population...

This paper provides new evidence supporting that gender differences in post-graduate educational choices contribute to the glass ceiling in the labor market. We study the decision to pursue an advanced degree form an internationally renowned institution, which greatly facilitates access to top...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

We study the diffusion of knowledge from scientists to firms within scientific communities. We build on a unique dataset on conference proceedings as "paper trail" of almost all relevant conference series in computer science since 1996. More than 5000 firms appear as conference sponsors or as...

It is sometimes said that an effect of the COVID-19 pandemic will be heightened appreciation of the importance of scientific research and expertise. We test this hypothesis by examining how exposure to previous epidemics affected trust in science and scientists. Building on the "impressionable...

The scientific community is engaged in an active debate on the value of its peer-review system. Does peer review actually serve the role we envision for it--that of helping government agencies predict what ideas have the best chance of contributing to scientific advancement? Many federal...

We study the diffusion of knowledge from scientists to firms within scientific communities. We build on a unique dataset on conference proceedings as "paper trail" of almost all relevant conference series in computer science since 1996. More than 5000 firms appear as conference sponsors or as...