Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
Linked In is a potential treasure trove for researchers, but it has limitations on both how much data to use and how to obtain it. But a since 2017 the company has been offering teams of researchers a chance to explore its riches.
March for Science wants to continue the momentum from their global marches with the first ever March for Science three-day summit aimed at teaching community organizing and communication skills, and advocacy. The event, called the S|IGNS SUMMIT, will be held starting on July 6 in Chicago.
The negative consequences of relying too heavily on metrics to assess research quality are well known, potentially fostering practices harmful to scientific research such as p-hacking, salami science, or selective reporting. To address this systemic problem, Florian Naudet, and collegues present six principles for assessing scientists for hiring, promotion, and tenure.
In their previous Impact Blog post, Katy Jordan and Mark Carrigan considered whether institutions have invested too much hope in social media as a solution to the problem of demonstrating research impact. Here they report on research analyzing how social media was cited in impact case studies submitted to the UK’s REF 2014.
In a rapidly changing higher education landscape, where the meaning of “impact” are continually developing, benefits of social media seems obvious. Increasing numbers of institutions are encouraging researchers to take up social media to communicate to wider society. However, as Katy Jordan and Mark Carrigan explain, the possibilities social media offers may lead to foreseen problems.
Going to an academic conference is an exciting opportunity to connect with like-minded individuals and exchange stimulating ideas. However, to make the most of a conference requires a lot of hard work before, during, and after the meeting itself. Marta Teperek provides a checklist of things to do at each of these stages.
Anna-Sigrid Keck and colleagues designed a structured doctoral program focused on transdisciplinary research and compared students’ publication patterns to students in traditional programmes. While rates of productivity were broadly similar, citation rates were found to be higher for transdisciplinary students, as were indicators of collaboration such as co-authorship.
When discussing the nexus of computer science and social science, the transaction is usually in one direction – what can computer scientists do for social scientists. But a recent paper from Tufts University anthropologist Nick Seaver reverses that flow, using the tool of ethnography to interrogate the tools of engineering.