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.

There’s a lot of uncertainty about how higher education will be taught in the age of COVID-19. How should professors and instructors of qualitative methods courses re-think their curriculums for online classrooms or cohorts? How can students conduct observations if they’re sheltered at home? How will students work in teams to analyze data if they’re distributed across the world? Here are some tips for alternative data collection methods, and collaborative tools for remote analysis.

Learning opportunities with experienced educational technology specialists.

We will emerge from this pandemic with a better understanding of the world and an improved ability to teach others about it. For now, we need to be continuously analyzing the data and thinking about the lessons we can learn and apply. Here’s how you can join in!

At SAGE, we have been working with academics around improving and sharing teaching resources, especially for quantitative and computational methods in social sciences. Besides the mass remote and emergency teaching experiment happening right now, one of the positive things we can already identify and reuse to improve learning in methods courses is the glut of data visualizations. The absolute advantage here is that all these visualizations are produced (almost always) with the same raw input, telling a variety of different stories. What better way to explain the different uses and impact of visualizations and the use of different tools to students than examples based on the same data?

Collaboration is essential to the work of academic researchers and writers. Learn more from this selection of presentations.

Around the world, higher education faculty and students have been grappling with the mammoth task of flipping from face-to-face teaching to online learning, practically overnight. As teaching faculty scramble to figure out how to use Zoom for online learning and the debate continues as to whether universities should cancel exams or switch to home-based open book or open Google exams, it’s becoming clear that the impact of COVID-19 on academic research could be just as profound as the impact on teaching. In-person lab experiments, face-to-face interviews, focus groups, fieldwork and other data collection may be impossible for much of 2020. Where possible, researchers will switch modes from face-to-face to virtual or telephone data collection, and where that’s not possible or desirable for practical or methodological reasons, university research offices and funders are issuing guidance for academics who need to delay their data collection or fieldwork.

Now that more meetings are online using videoconferencing. This guest post by Lydia Hooper.

Sometimes scholarly articles offer practical advice. Find some in this collection!

This white paper aims to contribute to the small but growing body of literature on best practice and tips for developing curricula and teaching social research methods and data science online by sharing experiences of the team who developed SAGE Campus.

The call for ‘social distancing’ in the wake of the coronavirus and its attendant COVID-19 disease has seen schools and universities around the world hurriedly attempting to turn their physical classrooms into virtual ones. While this may be best immediate reaction from an epidemiological point of view, from a pedagogic perspective, it has left instructors desperately trying to retrofit and reformat their courses while trying not to unduly disadvantage large numbers of their students. As a means of supporting those attempting to do their best under trying circumstances, SAGE Publishing has drawn from its large body of published and peer-reviewed research to offer the resources below -- free of charge -- to serve teachers and students around the world.

Find yourself teaching online? MethodSpace offers guidance and open access resources for e-learning & methods instruction.

The way that science is done is changing. More and more, research is conducted in collaborative teams, pulling together scientists from a variety of areas of experience and geographic locations. This is particularly true in environmental sciences, where the types of complex, multifaceted issues faced by society can only be addressed by bringing together researchers with multiple perspectives. Across a wide range of fields, there is evidence that multi-authored research is more highly cited, suggesting that this shift in the culture of science is producing novel and exciting results...