Collective writing: An inquiry into praxis

This is the second text in the series collectively written by members of the Editors' Collective, which comprises a series of individual and collaborative reflections upon the experience of contributing to the previous and first text written by the Editors' Collective: 'Towards a Philosophy of Academic Publishing.' In the article, contributors reflect upon their experience of collective writing and summarize the main themes and challenges. They show that the act of collective writing disturbs the existing systems of academic knowledge creation, and link these disturbances to the age of the digital reason. They conclude that the collaborative and collective action is a thing of learning-by-doing, and that collective writing seems to offer a possible way forward from the co-opting of academic activities by economics. Through detaching knowledge creation from economy, collaborative and collective writing address the problem of forming new collective intelligences

Rab protein evolution and the history of the eukaryotic endomembrane system

Spectacular increases in the quantity of sequence data genome have facilitated major advances in eukaryotic comparative genomics. By exploiting homology with classical model organisms, this makes possible predictions of pathways and cellular functions currently impossible to address in intractable organisms. Echoing realization that core metabolic processes were established very early following evolution of life on earth, it is now emerging that many eukaryotic cellular features, including the endomembrane system, are ancient and organized around near-universal principles. Rab proteins are key mediators of vesicle transport and specificity, and via the presence of multiple paralogues, alterations in interaction specificity and modification of pathways, contribute greatly to the evolution of complexity of membrane transport. Understanding system-level contributions of Rab proteins to evolutionary history provides insight into the multiple processes sculpting cellular transport pathways and the exciting challenges that we face in delving further into the origins of membrane trafficking specificity

Local and Global Convergence of On-Line Learning

We study the performance of an on-line algorithm for learning dichotomies, with a dynamical error-dependent learning rate. The asymptotic scaling form of the solution to the associated Markov equations is derived, assuming certain smoothness conditions. We show that the system converges to the optimal solution and the generalization error vanishes inversely with the number of examples. The system is capable of escaping from local minima, and adapts rapidly to shifts in the target function. The general theory is illustrated for the perceptron and committee machine. Much of learning theory has analyzed the paradigm of batch learning, in which the learner has free access to a fixed set of examples stored in memory. This paradigm leads naturally to an equilibrium statistical mechanical approach based on an energy function that is the learner's error on the training set. The theoretical advantage of this equilibrium formulation is that the learner's performance as a function of the number ..

Arguing about justice

This book brings together fifty of today’s finest thinkers. They were asked to let their imaginations run free to advance new ideas on a wide range of social and political issues. They did so as friends, on the occasion of Philippe Van Parijs’s sixtieth birthday. Rather than restricting themselves to comments on his numerous writings, the authors engage with the topics on which he has focused his attention over the years, especially with the various dimensions of justice, its scope, and its demands. They discuss issues ranging from the fair distribution of marriage opportunities to the limits of argumentation in a democracy, the deep roots of inequality, the challenges to basic income and the requirements of linguistic justice. They provide ample food for thought for both academic and general readers