My journey into text mining started when the institute of Digital Humanities (DH) at the University of Leipzig invited students from other disciplines to take part in their introductory course. I was enrolled in a sociology degree at the time, and this component of data science was not part of the classic curriculum; however, I could explore other departments through course electives and the DH course sounded like the perfect fit.

This interview with Dr. Linda Bloomberg kicks off a month-long focus on Teaching and Learning Research.

For the rest of the year (and possibly longer) academic and scientific conferences are either going to be cancelled or virtual. Regardless of whether you find this exciting or dreadful, Dr. Echo Rivera is here to help you create and deliver an awesome webinar/virtual presentation.

New research and observations about academic careers and the Covid pandemic.

In this guest blog, Alix Dumoulin and Regina Catipon cover how to embrace text analysis as a social scientist, the challenge cleaning text corpora brings in preprocessing, and introduce our upcoming tool, Texti, that will save researchers time.

The latest edition of the SAGE Ocean newsletter shares tips and resources for moving your research online and making the shift to online teaching.

As a D-Lab and Data Science Education Program Fellow at the University of California, Berkeley in Spring 2020, I helped to ensure and enhance the quality of more than 40 Data Science Discovery Projects, working with community partners and undergraduate research assistants. The goal of these projects was to connect undergraduates with community impact groups, entrepreneurship ventures, and educational initiatives across UC Berkeley and provide them with hands-on and team-based research opportunities outside the classroom.

For the past few years in June, the Summer Institutes in Computational Social Science (SICSS) have seen students gather across the world at partner locations and in the designated primary location to begin a two-week program of collaboration, workshops, lectures, and participant-led research projects in computational social science (CSS). The strange times of COVID have somewhat altered these plans with some partner locations postponing until 2021 and some opting to move online. Whether virtual or postponed the fourth iteration of SICSS set a new record for partner locations—a total of 22 locations signed up to take part. Founders Matt Salganik and Chris Bail, allow participants to only attend once but as attendance has grown so have graduates returning to their institutions and setting up new partner locations.