What a year...Here are our top posts of 2020: From text mining tools in the social sciences to running online experiments and visualizing COVID-19 data

The SAGE Ocean Blog started the year off with a piece on our recently published white paper on software tools for social science. Next week we’ll publish a piece from senior product manager Daniela Duca on the challenges of running social science experiments from home and what tools can help. The move to online teaching, learning, and research feature heavily in our top posts of 2020. Back in April Katie Metzler wrote about the challenge COVID-19 to student research projects and in May, Jason Radford provided some helpful recommendations for translating studies into an online format and recruiting virtual participants.

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Tools & Technology, Methods Innovation Chris Burnage Tools & Technology, Methods Innovation Chris Burnage

Alternative Social Science

Now is the time for social scientists to take responsibility for guiding societal improvement.

Twenty-first-century societies are rapidly changing. We’re witnessing historic levels of partisan discord and institutional breakdown, and multiple simultaneous sea changes in norms around gender and ethnic identity, sexual expression, and the definitions of criminality. These political and cultural shifts, often amplified and accelerated through Internet platforms, are occurring alongside major economic upheavals, including the deaths and births of entire industries, renewed international trade wars, and inequality levels rivaling those of feudal times. Worse, there is no end in sight for these tumultuous trends. What are people to do? How are we to make sense of all this turmoil and find some working consensus about social reality (if not a social contract) allowing more of us to find a stable and comfortable way in the world?

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What (social) Factors Make For an Innovative Researcher?

One might ask why researchers go to the effort of undertaking unconventional, path-breaking work? What makes some scientists more likely to engage in research that breaks from tradition, despite the risks? In our recent study, we considered two possible explanations. First, we thought that scholars affiliated with high-status demographic...

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Methods Innovation Chris Burnage Methods Innovation Chris Burnage

Top 10 big data and social science innovations

People look to academia as the source of innovation, and especially so in the natural and physical sciences. Researchers in biosciences, clinical medicine, physics, and chemistry have always generated new ideas for industry to capitalize on. Generally, innovations coming out of the social sciences would be assimilated into the private sector via secondments or collaborative projects, with Richard Thaler’s Behavioral Insights Team as the finest example. However, the emergence of big data and computational social science has generated a host of technologies that are either developed together with social science researchers or have clear application in the social science praxis outside academia. 

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Methods Innovation, Skills Chris Burnage Methods Innovation, Skills Chris Burnage

New ways of thinking about social science research. My time at the Summer Institute in Computational Social Science

Coming from a social science background, I have had very limited exposure to data science. I was therefore excited to learn about the emerging field of computational social science and the Summer Institute in Computational Social Science (SICSS) presented the right opportunity. I applied to the 2019 SICSS and I was accepted for the Cape Town partner site. I went in not knowing what to expect but by the end of the first day I knew the experience at the two-week Summer Institute was going to be truly worthwhile.

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Credit where credit is due: The startups, products and organizations giving academics credit for more of their work

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.

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Methods Innovation, Teaching Methods Chris Burnage Methods Innovation, Teaching Methods Chris Burnage

It’s good to share! Encouraging the sharing, reuse, and citation of teaching materials in computational social science

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!

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Methods Innovation Chris Burnage Methods Innovation Chris Burnage

Three exciting possibilities for combining data science and social science

As the leader of a data science team at the Urban Institute, I get to work on interesting issues that intersect data science and social science every day. By data science, I mean technical tools, architectures, and processes that are borrowed from computer science and are atypical in the social sciences. This is a slightly more limited definition than most would have for the term data science, but because so much of what defines a data scientist at Urban also defines a researcher — cleaning data, analyzing it, visualizing results, etc. — my definition draws a finer line.

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Methods Innovation Chris Burnage Methods Innovation Chris Burnage

An interview with the Allen Institute for Artificial Intelligence, winners of the NYU Coleridge Initiative's Rich Context Competition

Earlier this year Allen AI were announced as the winners of the NYU Coleridge Initiative’s Rich Context Competition. The goal of the competition was to automate the discovery of research datasets and the associated research methods and fields of social science research publications. You can find out about all the finalists and their work here.

We caught up with Allen AI to talk about the work and their involvement in this year’s competition.

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