Human social behavior has rapidly shifted to digital media services, whether Gmail for email, Skype for phone calls, Twitter and Facebook for micro-blogging, or WhatsApp and SMS for private messaging.  This digitalization of social life offers researchers an unprecedented world of data with which to study human life and social systems. However, accessing this data has become increasingly difficult.

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.

I would argue that computational social science necessitates collaboration, and indeed is tamed by it. A collaborative approach provides the necessary structure, goals, and a critical approach to research methods. In response to the question of what computational social science has helped me achieve, it may seem obvious to mention the concrete projects, the outputs, the measurable outcomes. However, for me computational social science has achieved something more substantial and enduring—a new way of working, a new way of thinking, and a new kind of enthusiasm for research.

On a Friday evening in 1922, you could turn on the radio in Schenectady NY and hear Hermann Briggs talking about the latest research and discoveries around common disease and illnesses. Radio, and later TV, were the most exciting and widest reaching media platforms where research knowledge could be shared with the public.

Today, researchers have access to a whole host of media (podcasts, YouTube channels, Ted Talks, etc.) to talk about their research and how it can be fun or useful for the public.

Jeff Jonas, the world’s foremost expert on entity resolution and the inventor of the original NORA (Non-Obvious Relationship Awareness) technology developed for Las Vegas casinos, brings entity resolution to life. This unique technology (an IBM spin-out) is a purpose built real-time AI for delivering human quality entity resolution – determining “who is who” and “who is related to who” – without training, tuning or experts.

Watch the technology in action and see how it works.

This book will be of particular value to social scientists interested in the political, economic and social dynamics of AI and data-driven technology. It will also be of interest to investigative and data journalists seeking to leverage computational tools.

Watch our panel event from the ESRC Festival of Social Science on what skills social scientists will need to be able to do the social research of the future.

As part of Scotland’s annual DataFest, the 2019 Data Summit conference took place in Edinburgh on 21-22nd March and was packed full of eye-opening sessions from speakers at the cutting edge of data driven innovation.

SAGE Research Methods has launched a new Data Science video collection, with hours of educational material for researchers of all levels and backgrounds.

At the end of February we ran a most enthralling event experience. Three panelists, two hosts and about 20 attendees all put their headsets on from their labs, offices and homes to join a virtual classroom decorated with trees, a castle, a slightly scary tiger and a hippo, to talk about the future of VR in social science research.

This year’s theme for International Women’s Day is #BalanceforBetter. Considering the current fractured state of political and social discourse across many areas of the globe, it’s more imperative than ever that we strive for a more gender-balanced and inclusive society—none more so than in the world of academia.

Despite over half of all PhDs being awarded to women, the percentage of female tenured faculty hovers between 20% - 33% in the EU and US, and falls to as low as 5% in fields like engineering, demonstrating the difficulty women face moving up in academia.

In the lead up to International Women’s Day on Friday March 8th, we posed a series of questions to leading academics. Here Laura K. Nelson, explores how we nurture an academic landscape that is more accessible to women.