There’s an article doing the rounds today about public understanding and rejection of experts and expertise. It was discussed in an article in the THES late last year (which ironically I haven’t read). I recommend reading the original article by Scharrer and co-workers, not least because the article itself is about how reading lay summaries can lead to a discounting of expertise.
This post is aiming to get down some thoughts around how the superset of evolutionary models can be framed. It’s almost certainly work that has been done somewhere before but I’m struggling to find it so it seemed useful to lay out what I’m looking for. Evolutionary models are extraordinarily powerful, in part because they are extremely flexible.
This is the first pass at an introductory chapter for a book I’ve had in my head to work on for a long time. The idea is that it relates some of personal history shifting from my grounding science towards the humanities, while interleaving this with a survey of the theoretical work that develops those different perspectives. This is just a first draft written on a Sunday afternoon.
I had a dream, which was not all a dream. The bright sun was extinguish’d, and the stars Did wander darkling in the eternal space, Rayless, and pathless, and the icy earth Swung blind and blackening in the moonless air;
Amongst all the hot takes, the disbelief and the angst the question many of us are asking is what to actually do. I don’t have answers to that question, or rather I have lots of answers and no clarity as to which to choose. An inventory of resources reveals this blog, a substantial, if not massive, social media following on Twitter and some degree of influence associated with that.
Like many people over the past week, and months, I’ve had some cause to reflect on what it is I do, and why. A lot of that circles around an issue that’s been troubling me for a while, how do you simultaneously acknowledge a personal and historical failure to act and credibly and coherently move to change that. How can I know when to challenge and when to shut up and listen – because its not always immediately obvious.
Following one of “those” conversations on twitter, the ones where the 140 character limit just isn’t enough it seemed worth writing up a quick post. It’s that or follow the US election after all… Richard Sever of Cold Spring Harbour Press posed the following question on: …to which my answer was: You can follow the conversation via the links above but here I just wanted to flesh out the disagreement and why I think this matters.
This a set of notes for my talk at Duke University this week. It draws on the Political Economy of Publishing series as well as other work I’ve been involved with by Jason Potts at RMIT amongst others. The title of the talk is “ Sustainable Futures for Research Communication ” and you can find the abstract at the Duke event page. The video is now available along with the slides.
A couple of ideas have been rumbling along in the background for me for a while. Reproducibility and what it actually means or should mean has been the issue du jour for a while.
The development of the acronym “FAIR” to describe open data was a stroke of genius. Standing for “Findable, Accessible, Interoperable and Reusable” it describes four attributes of datasets that are aspirations to achieve machine readability and re-use for an open data world.
As part of the broader Open Science agenda of the European Commission an expert group on “altmetrics” has been formed. This group has a remit to consider how indicators of research performance can be used effectively to enhance the strategic goals of the commission and the risks and opportunities that new forms of data pose to the research enterprise.