Narelle Lemon offers suggestions for a mindful approach to social research.

I want to share with you this list of 39 female researchers that are all crushing it in the social sciences and humanities with their innovative use of computational methods and very cool explorations of cutting edge tech. Follow them, read their papers and collaborate!

What research is needed when writing a new ethics text? Read Dr. Kara’s explanation.

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

Computational Social Science boils down to Social Scientists using data processing and data science computation tools (think R, Python etc) to analyze data about people and relationships.

In June, I attended the second iteration of the Summer Institute for Computational Social Science (SICSS), an intensive two-week program held at Duke that was intended to bring together researchers from across the social science and data science disciplines to learn and discuss topics in computational social science (CSS). Each day, the organizers Chris Bail and Matt Salganik taught mini-lectures on different CSS topics, we split into groups to work on activities together, and a speaker came in to present their research.

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.

Nowhere is the symbiotic relationship of creative and critical thinking more apparent than in the practices inherent to research design, conduct, and dissemination.

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.

Ahead of this year’s APSA general meeting, we attended the Politics and Computational Social Science (PaCSS) pre-conference, hosted at Northeastern University. The event brought together  political scientists working with large-scale data sets and emerging computational methods.

News media serves as a window into the society its readership represents. A newspaper’s description of a social group both demonstrates and constructs perceptions of that group within its audience. Understanding long-term trends or spatial differences in the representation of minority groups in news media can contribute to ongoing theoretical debates about the role and perception of minority groups in society. 

Teaching and learning resources from the 2018 Summer Institute for Computational Social Science have been made free to access online, allowing more people to explore in depth the field of computational social science.

Fifty years after the "Summer of Love" transformed American youth culture, Andrew Anglin, the proprietor of the neo-Nazi website The Daily Stormer, announced to his followers that the summer of 2017 would be "The Summer of Hate."

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.