Data Science Seminar

Ten Simple Rules for using Twitter as a Scientist

You have probably heard it many times from academics who have already discovered the advantages of social media - "you should be on Twitter"! Next to sharing your research, learning about advances from other fields, and cat pictures, many cite the sense of community as an important reason for being on the platform. Let's say you are already convinced and you made an account - what then? How do you get the most of Twitter, without it consuming all your time and energy? Based on a recent paper with the same name, in this talk I will discuss ten simple ideas that have helped me and other academics do exactly this.

Virtual Talk

Publication

Cheplygina V, Hermans F, Albers C, Bielczyk N, Smeets I (2020) Ten simple rules for getting started on Twitter as a scientist. PLoS Comput Biol 16(2): e1007513. https://doi.org/10.1371/journal.pcbi.1007513

Biosketch Dr. Veronika Cheplygina

Veronika Cheplygina is an assistant professor at the Medical Image Analysis group, Eindhoven University of Technology since February 2017. She received her Ph.D. from the Delft University of Technology in 2015. As part of her PhD, she was a visiting researcher at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany. From 2015 to 2016 she was a postdoc at the Biomedical Imaging Group Rotterdam, Erasmus Medical Center, where she applied machine learning algorithms to medical image analysis problems. Her research interests are centered around learning scenarios where few labels are available, such as multiple instance learning, transfer learning, and crowdsourcing. Next to research, Veronika blogs about academic life at http://www.veronikach.com.

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