This session is a mini-workshop in popular science writing
for broad media outlets such as Videnskab.dk. By the end of the workshop, each participant will have a rough draft of a small pop science article, as well as the tools to wrap up and get their work published. Data science has become increasingly prominent in the media during the recent
years, but data scientists continue to take up very little space. There is both opportunity and a need for contributions by data scientists, which can qualify the public debate. Anyone can learn to write good pop science – one just has to take the leap.

Program

The session will consist of three brief talks with sessions in between, where the attendants will participate in guided writing exercises and develop their own pop science writing piece. The talks will set the scene and give useful information and ideas that can inspire and assist in both the writing itself and the publishing of the final piece. The intermediate writing sessions will be a mix of independent writing, discussion, and brainstorming in groups, depending on the needs of each participant.

Introduction:
“What science can become popular science and who is your audience?”

Story-telling: 
“The power of analogies and imagery”

Conclusion:
“Getting your piece published”

Speaker: Anders Høeg Lammers, editor of Researchers Disseminate at Videnskab.dk.

Target audience and size

This session is intended for participants who want to produce a piece of popular science writing, perhaps for the first time. There is no maximum cap on the number of participants.

Workshop outcome

The participants will leave the workshop with a rough draft of a small pop science article and the tools to finish it and get their work published.

Level

Suitable for beginners with little to no prior knowledge of the subject, but intended for participants who want to produce a piece of popular science writing, perhaps for the first time.

Organizers

The session is organized by the Danish Statistical Society’s committee for Communication and Press (DSTS-C&P).

• Christoffer Sejling, PhD Student, Section of Biostatistics, University of Copenhagen & board member of the Danish Statistical Society and DSTS-C&P (Lead organizer) 
• Tobias Ellegaard Larsen, PhD Student, Section of Biostatistics, University of Copenhagen & member of DSTS-C&P.
• Anne Helby Petersen, Assistant Professor, Section of Biostatistics, University of Copenhagen & member DSTS-C&P.