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.
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.
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.
Find out more about the field of collective intelligence by tuning into these vox pops, filmed
These two studies examined fake news on separate social media platforms; Facebook and Twitter, with both concluding that sharing this content was a rare occurrence but when users did share fake news articles they tended to be older Americans over 65.
Compared to traditional sample collection methodologies, online participant recruitment offers several distinct advantages. This post explores some of the tools and platforms that can help with the process of creating your very own online survey or experiment.
There are currently 3 types of hardware to access visually and audio-immersive experiences: headsets that connect to your PC, headgear that works with your mobile phone, and standalone devices. Besides varying in price, they also differ in their capabilities and hence are intended for different use cases.
‘From text to data - new ways of reading’ was a 2-day event organised by the National Library of Sweden, the National Archives and Swe-Clarin. The conference brought together librarians, digital collection curators, and scholars in digital humanities and computational social science to talk about the tools and challenges involved in large scale text collection and analysis.
The second annual Social Science Foo Camp took place at Facebook’s headquarters in Menlo Park at the start of this month, convening an eclectic mix of more than 200 social scientists, technologists, funders, policy makers, businesspeople and writers.
A few days ago I made a skill for Amazon Alexa. I wrote a performative, conversational script in which a disobedient Alexa is raising questions on gender and makes a feminist critique of conversational technologies.
We are excited to announce that the finalists for the NYU Coleridge Initiative’s Rich Context Competition have been selected. The competition challenged computer scientists to find ways of automating the discovery of research datasets, fields and methods behind social science research publications. 20 teams from 8 countries submitted letters of intent and four finalists have been chosen. We will be live webcasting the finalists’ presentations as well as the announcement of the winner on February 15.
Virtual Reality technology is opening previously locked doors to researchers in the social sciences. But how viable is it really as a research tool? We take a look back over the history of experimental research in human perception and response to consider the future of VR in experimental design.