Cutting NSF Is Like Liquidating Your Finest Investment
Look closely at your mobile phone or tablet. Touch-screen technology, speech recognition, digital sound recording and the internet were all developed using […]
Transcribing can be a pain, and although recent progress in speech recognition software has helped, it remains a challenge. Speech recognition programs, do, however, raise ethical/consent issues: what if person-identifiable interview data is transcribed or read by someone who was not given the consent to do so? Furthermore, some conversational elements aren’t transcribed well by pattern recognition programs.
In the first post from a series of bulletins on public data that social and behavioral scientists might be interested in, Gary Price links to an analysis from the Transactional Records Access Clearinghouse.
Alejandro Portes will be recognized for his award in October. He is the Princeton/University of Miami sociologist behind concepts such as the ethnic enclave and segmented immigration.
In this Business and Management INK post, Viktor Dörfler and Colin Eden of the University of Strathclyde Business School write about their research with 19 Nobel laureates examing how people at the ‘grandmaster’ level define what makes for good research .
A key political driver of open access and open science policies has been the potential economic benefits that they could deliver to public and private knowledge users. However, the empirical evidence for these claims is rarely substantiated. In this post Michael Fell, discusses how open research can lead to economic benefits and suggests that if these benefits are to be more widely realized, future open research policies should focus on developing research discovery, translation and the capacity for research utilization outside of the academy.
University rankings might claim to provide an index through which students, faculty, and the general public might ascertain a number of things: the quality of education provided by an institution, the potential for networking at an institution, the breadth and depth of research being performed at an institution, and more. The institutional quest towards topping the university rankings can, however, derail efforts towards the improvement of society and higher education at large.
Most institutions see the market as the only legitimate form of organization, but different visions towards public policy, some involving artificial intelligence, have been the subject of consideration from academics and politicians alike. Under what circumstances, and to what extent, could artificial intelligence replace the market as the end-all guiding force in crafting reasonable public policy? Brexit may play a leading role in the transition.
After a friend gave the reviewer a copy of ‘The Slow Professor: Challenging the Culture of Speed in the Academy’ by Maggie Berg and Barbara K. Seeber, it gave him lots of food for thought: Working at a university, after several years of postdoctoral fellowships, why, indeed, not slow down?