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.
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.
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.
What the Cambridge Analytica debacle and the resulting U.S. Senate hearing revealed in no uncertain terms is that the U.S. does not have adequate data privacy laws
Today, there is a new window of opportunity to adopt agent computing as a mainstream analytic tool in economics. Here, I discuss four major aspects in which this technology can improve economic policymaking: causality and detail, scalability and response, unobservability and counterfactuals, and separating design from implementation. In addition, I highlight the crucial role that policy agencies and research funders have in this endeavor by supporting a new generation of computationally-enabled social scientists.
Agent computing is a simulation tool that has been successfully adopted in many fields where policy interventions are critical. Economics, however, has failed in doing so. Today, there are new opportunities for bringing agent computing into economic policy. In this post, I discuss why this technology has not been adopted for economic policy and point out new opportunities to do it.
In this follow-on post, we focus on data analysis and discuss co-occurrences of tags in images, and present an example of a co-occurrence network that represents a kind of "mental model" of SAGE journal images derived from the tags.
With so much diverse data to dig into, the future of quantitative social science is exciting, particularly for those studying the granularities of individual-level behavior. In doing so, we must make sure that this research is ethical, robust and ultimately useful
Nowadays, issues related to the diffusion of fake news, rumours, hoaxes, as well as the diffusion of malware and viruses in online social networks have become so important as to transcend the virtual ecosystem and interfere with our businesses and societies. Currently, we are unable to effectively deal with these issues.
At SAGE, we recently asked the question how could Cloud Vision APIs be applied to support scholarly publishing? For example, can they be used for new products or product features, to improve the editorial workflow, or to otherwise enhance SAGE operations or quality of life?
By Timo Hannay
Here's a multiple-choice question: Is the internet (a) the most open, egalitarian and empowering means of communication ever devised, or (b) a dystopian nightmare populated by hucksters, trolls and miscellaneous abusers of human rights? The answer is, of course, (c) all of the above and much else besides. This stark contrast between the internet's light and dark sides has become a defining characteristic of the digital age, but is not an inevitable consequence of the mostly innocuous technologies on which it's built. Rather, it is the product of their bewilderingly diverse and eccentric user base – otherwise known as humanity.