27 research outputs found

    The effects of aging of scientists on their publication and citation patterns

    Get PDF
    The average age at which U.S. researchers get their first grant from NIH has increased from 34.3 in 1970, to 41.7 in 2004. These data raise the crucial question of the effects of aging on the scientific creativity and productivity of researchers. Those who worry about the aging of scientists usually believe that the younger they are the more creative and productive they will be. Using a large population of 13,680 university professors in Quebec, we show that, while scientific productivity rises sharply between 28 and 40, it increases at a slower pace between 41 and 50 and stabilizes afterward until retirement for the most active researchers. The average scientific impact per paper decreases linearly until 50-55 years old, but the average number of papers in highly cited journals and among highly cited papers rises continuously until retirement. Our results clearly show for the first time the natural history of the scientific productivity of scientists over their entire career and bring to light the fact that researchers over 55 still contribute significantly to the scientific community by producing high impact papers.Comment: 12 pages, 4 figure

    Crowdsourced science: sociotechnical epistemology in the e-research paradigm

    Get PDF
    Recent years have seen a surge in online collaboration between experts and amateurs on scientific research. In this article, we analyse the epistemological implications of these crowdsourced projects, with a focus on Zooniverse, the world’s largest citizen science web portal. We use quantitative methods to evaluate the platform’s success in producing large volumes of observation statements and high impact scientific discoveries relative to more conventional means of data processing. Through empirical evidence, Bayesian reasoning, and conceptual analysis, we show how information and communication technologies enhance the reliability, scalability, and connectivity of crowdsourced e-research, giving online citizen science projects powerful epistemic advantages over more traditional modes of scientific investigation. These results highlight the essential role played by technologically mediated social interaction in contemporary knowledge production. We conclude by calling for an explicitly sociotechnical turn in the philosophy of science that combines insights from statistics and logic to analyse the latest developments in scientific research

    Emergent behavior of growing knowledge about molecular interactions

    No full text
    In the time of Isaac Newton (1643–1727), a prominent scientist could follow advances in multiple fields of knowledge—as far apart from each other as mathematics, astronomy, physics, history and theology. It took a talent of Newton's caliber, of course, to contribute to several of them during one lifetime. Today, with thousands of biomedical journals published in English alone, even Sir Isaac would not have the luxury of systematically following all that happens in biology, let alone in multiple research fields. Currently, millions of active biomedical researchers are scattered around the globe, most focusing on a small fragment of the enormous biological universe. Consequently, knowledge acquisition and validation by scientific communities is bound to have large-scale properties that are normally hidden from individual scientists. These large-scale properties would reveal themselves only at the level of a meta-analysis of large volumes of data produced by numerous scientists. The practical importance of such meta-analyses—besides satisfying academic curiosity—lies in their potential for indicating hidden opportunities lurking in the currently accessible knowledge
    corecore