IC2s2 Tuesday Afternoon Keynotes

IC2s2 Tuesday afternoon Dashun Wang - Predictive Signals Behind Success Dashun starts by talking about weather predictions, natural phenomena can be observed, modelled and predicted. Can success be measured modelled and predicted? Obviously Dashun thinks so, and we are gong to be looking at the result of a number of studies in this talk. Science of Science Aim is to build on top of the work of others, but add to it the massive data that we now have access to, along with the tools that we have developed. ... (more)

IC2s2 2017, conference preview

I’m about to head to Köln for the International Conference on Computational Social Science (IC2S2) and I’m pretty excited for a whole bunch of reasons. I’ve been fascinated by network science, and the potential application of techniques from that science to the rest of research, for quite a while, but generally this has been an interest that I have entertained from a distance. I had the pleasure of attending an early instance of the NetSci conference series back in 2008, and even contributed to a working paper looking at the implications of the intersection between social data and network algorithms (Mining for Social Serendipity), however the academic track has not been my track at all, and with one thing or another this was a community that my career moved me away from for some time. ... (more)

Futurepub10

This week I attended futurepub10, I love these events, I’ve been to a bunch, and the format of short talks, and lots of time to catchup with people is just great. # A new Cartography of Collaboration - Daniel Hook, CEO Digital Science (work with Ian Calvert). Digital science have produced a report on collaboration, and this talk was covering one of chapters from that. I was interested to see what the key takeaways are that you can describe in a five minute talk. ... (more)

Three posts about product development

I’m catching up on some reading at the moment. Trying to make headway on some other work while jet lagged is proving a challenge. Anyway, here are a couple of nice posts about product development that popped up in my feed (hat tip to Mind the Product Weekly Newsletter. ## What do people do in the spaces in between? When thinking about what people do with your product, also think about what they don’t do, and how to help them get to where they are going. ... (more)

PLOS are looking for a new CEO

So I hear that PLOS are looking for a new CEO. They are making the process fairly open, so if you are interested you can read more here. I got to thinking about some of the challenges and opportunities facing PLOS over the weekend. Over the years I’ve gotten to know a lot of PLOS folk, and I think it’s an amazing organisation. It has proved the viability of open access, and their business model is being copied by a lot of other publishers. ... (more)

Reverse DOI lookups with Crossref

Today I had a need to think about how to do a reverse lookup of a formatted citation to find a DOI. @CrossrefOrg helped out and pointed me to the reverse api endpoint. It workes like this: http://api.crossref.org/reverse Created a json payload file “citation.json” formatted as follows: [ " Curtis, J. R., Wenrich, M. D., Carline, J. D., Shannon, S. E., Ambrozy, D. M., & Ramsey, P. G. (2001). Understanding physicians’ skills at providing end-of-life care: Perspectives of patients, families, and health care workers. ... (more)

Hello SAGE!

Hello SAGE! I joined SAGE at the start of September. Hello SAGE!! Here I outline some of my initial impressions. First up, I’ve been really delighted to meet so many great people at SAGE. I’ve received great support from everyone in the company. I generally find publishing folk to be very friendly. This is a friendly industry, working on the fabric of knowledge, knowing that your work can help to make a difference, trying to make the work of academics a bit easier. ... (more)

What do we mean when we talk about Big Data?

What do we mean when we talk about Big Data? The following blog post about this article provides the following definition of big data: “High volume data that frequently combines highly structured administrative data actively collected by public sector organisations with continuously and automatically collected structured and unstructured real-time data that are often passively created by public and private entities through their internet.” The article is behind a paywall, but the blog is pretty clearly laid out. ... (more)

What we mean when we talk about preprints

Cameron Neylon, Damian Pattinson, Geoffrey Bilder, and Jennifer Lin have just posted a cracker of a preprint onto biorxiv. On the origin of nonequivalent states: how we can talk about preprints Increasingly, preprints are at the center of conversations across the research ecosystem. But disagreements remain about the role they play. Do they “count” for research assessment? Is it ok to post preprints in more than one place? In this paper, we argue that these discussions often conflate two separate issues, the history of the manuscript and the status granted it by different communities. ... (more)

Social Humanities DataHack event

How do people represent themselves on social media, and how are they represented by others? Which qualities and virtues are emphasized (or ignored)? How polarised are these (re)presentations? There is a workshop looking at this very question happening in Oxford in early January. The morning will be a series of workshops on tools for tackling a question like the above (I’m thinking of attending the Wikipedia and Topic Modelling workshop), and the afternoon will be a hackathon looking at some data sets. ... (more)