start working with big data

Starting out in computational social science

It’s an exciting time to be in social science. Social media, digital identities and the world of big data has opened up new ways for social scientists to study and examine social phenomenon.

Some examples include using online search patterns to predict the spread of disease, tracking near real-time Twitter data to understand political movements or using location data to understand interpersonal interactions.

The move to a digital world has created a innovative new area of social science called computational social science (CSS).

Training social scientists for the future

Calling all social scientists. How were you trained? How are you keeping up (or not) with new developments in this rapidly changing digital world? How are you training your students?

This was the subject of an event sponsored by SAGE Ocean as part of the ESRC’s 2018 Festival of Social Science. In case you are not aware, Sage, who have been at the forefront of publishing qualitative work, have now launched SAGE Ocean – an initiative “to help social scientists to navigate vast datasets and work with new technologies”.

50+ women to follow in computational social science

A little over a week ago, I posted a blog celebrating 39 women in computational social science. We knew there would be so many more amazing researchers to add, and the social science community duly delivered, suggesting plenty of women that should also be celebrated. Therefore, rather fittingly on #AdaLovelaceDay we have  published an updated list. The number has now more than doubled, and we hope that it is a good start for anyone looking for a supervisor for their PhD, or just wanting to see what other doctoral fellows are working on.

39 women doing amazing research in computational social science

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!

3 Challenges for behavioral research in the age of multimedia big data

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

What aspiring data scientists are looking for in hiring companies

"Positions in data science require a unique set of job skills that many professionals simply don’t possess.  The level of programming knowledge, understanding of statistics and business sense make for a difficult position to fill. Because of this, many businesses find it difficult to hire appropriately for the position of data scientist." Kayla Matthews gives pointers on ways that companies, looking for data scientists, could stand out in this demanding market for data engineers.