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 […]
Even as it insists it’s not really saying anything new, the American Statistical Association Board of Directors has laid down a marker in the debate over what constitutes “statistical significance.”
Science and technology systems are routinely monitored and assessed with indicators created to measure the natural sciences in developed countries. Ismael Ràfols and Jordi Molas-Gallart urge the creation of indicators that better reflect research activities and contributions in ‘peripheral’ spaces.
Corporate universities, argues our Daniel Nehring, have come to operate as self-enclosed power structures that are shielded from intellectually driven debate by their authoritarian structures and their anti-intellectual ethos.
Intellectual labor comes to be largely external to the objectives of the bureaucratic regimes that dominate universities, argues our Daniel Nehring, and academics whose careers were built on intellectual labor turn out to be deskilled workers in organizational settings indifferent to their concerns.
Current efforts to solve wicked problems with a quick dusting of data are unlikely to result in socially useful answers. Luckily, there are innovative people and initiatives using a variety of methods to home in on real solutions.
Is it possible, asks our Michelle Stack, to have an excellent university that is inequitable?
The UK’s proposed Teaching Excellence Framework focuses strongly on ‘value for money,’ which, argues our Daniel Nehring, further elides the intellectual dimensions of scholarship and replaced it with the reduction of academics’ labor to the production of a skilled labor force.
The Russell Group argues that research funding should be concentrated in the most elite institutions, Two sociologists who have studied how Asian universities have fared in global rankings argue just the opposite.