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 […]
Pioneering women in the social and behavioral sciences have established programs, institutionalized critical bodies of knowledge, and pursued their personal passions to […]
“Demystifying Academic Processes: From Publishing Your Research to Promoting it,” answered three main questions: How can you get published in an academic journal (whether an early career researcher or veteran)? How can you promote your publications? And how should you think about measuring impact?
In ‘The New PhD: How to Build a Better Graduate Education,’ Loenard Cassuto and Robert Weisbuch argue that graduate programs aren’t preparing doctoral students for the jobs they’ll likely have outside college classrooms or laboratories.
Britain’s Academy of Social Sciences is seeking a pro-active, experienced and thoughtful senior campaign manager to take responsibility for developing and delivering […]
Behavioral and social science grant recipients from America’s National Institutes of Health appear to have not published their results within five years at a greater rate than for their non-behavioral peers. An NIH director investigated …
Persistent rejection by academic arbiters – whether journals, grant makers or employers – is problematic, and focusing on the individual academic is not the whole solution
SICSS-Howard/Mathematica will have a topical focus on countering anti-Black racism and inequity and the program will focus on helping participants build the tools to accomplish this.
In academia gender bias is often figured in terms of research productivity and differentials surrounding the academic work of men and women. Alesia Zuccala and Gemma Derrick posit that this outlook inherently ignores a wider set of variables impacting women, and that attempts to achieve cultural change in academia can only be realised, by acknowledging variables that are ultimately difficult to quantify.