It’s all about incentives. The current academic ecosystem incentivises publication in high impact factor journals and grant capture above all else, but there is more to being an academic than producing journal articles and winning grants. Luckily there are an increasing number of initiatives that are helping academics get credit for more of the work they do and increase their broader impact. This post rounds up some of the most interesting efforts.
The beginning of term is nearing. You’re teaching a new module on Computational Social Science (CSS). The field is developing rapidly and so are best practices around teaching the theory, methods and techniques to students.
Where do you start when you’re putting together your teaching materials? Do you visit the websites and blogs of academics who are experienced in teaching CSS to look for resources? Do you search online for syllabi, reading lists and tutorials? Maybe you scour YouTube for videos to include in your slides?
Together with a group of UK academics, the SAGE Ocean team have been digging into where academics go to find teaching materials and what the barriers are for academics who want to share, reuse and give and get credit for the materials they produce for teaching. This post includes thoughts from the group on what’s needed to promote a stronger culture of sharing teaching materials in CSS. And we’ve curated a list of our favorite resources for you too!
To learn more about the potential for VR to transform data visualization, Katie Metzler worked with SAGE colleagues, Diana Aleman and Andrew Boney and the team at Datavized, a startup based in New York City, on a project to turn data from one of SAGE’s data products, SAGE Stats, into a 3D VR experience.
Data is being created faster than ever before however without access to these data-sets or the expertise to analyse them, research is confronted with a replication crisis and is vulnerable to commercial motivations. The problem is growing as Katie Metzler points out, "Firstly, because replication is the engine of science, and irreproducible research slows progress... secondly the motivations of industry researchers and social scientists may differ in ways that may really matter."