Social, Behavioral Scientists Eligible to Apply for NSF S-STEM Grants
Solicitations are now being sought for the National Science Foundation’s Scholarships in Science, Technology, Engineering, and Mathematics program, and in an unheralded […]
The double-blind review process, adopted by many publishers and funding agencies, plays a vital role in maintaining fairness and unbiasedness by concealing the identities of authors and reviewers. However, in the era of artificial intelligence (AI) and big data, a pressing question arises: can an author’s identity be deduced even from an anonymized paper (in cases where the authors do not advertise their submitted article on social media)?
Recent experiences have not been very positive. The vast majority of proposals seem to conflate impact with research dissemination (a heroic leap of faith – changing the world one seminar at a time), or to outsource impact to partners such as NGOs and thinktanks.
As a math professor who teaches students to use data to make informed decisions, I am familiar with common mistakes people make when dealing with numbers. The Dunning-Kruger effect is the idea that the least skilled people overestimate their abilities more than anyone else. This sounds convincing on the surface and makes for excellent comedy. But in a recent paper, my colleagues and I suggest that the mathematical approach used to show this effect may be incorrect.
Here are five ways I have found Altmetrics to be useful beyond a simple numerical score and just telling us which journal papers are receiving attention.
This anecdote illustrates the joy of doing this research. It shows that IT project names sometimes exhibit an unexpected twist and can have a completely different effect than anticipated. One project name even surprised us as researchers on this topic.
Machine learning tools like chatbots and virtual assistants can emulate the work of psychologists and psychotherapists and are even helping to address people’s basic therapeutic needs.
Reflecting on their work on the recent BIAS project, the authors traced some of the challenges we faced carrying out interdisciplinary research and the strategies we developed to mitigate them.
As research and instruction librarians, we know people have concerns about using Wikipedia in academic work. And yet, in interacting with undergraduate and graduate students doing various kinds of research, we also see how Wikipedia can be an important source for background information, topic development and locating further information.