Events, events, events 🥳


There are so many upcoming events, that I decided to present a newsletter with exciting upcoming events. So, here we go!

Workshop on Reproducibility and Translation in Biomedical Research

Let's develop best practices in industry and academia partnerships.

November 29 - December 1, 2023 in Berlin

Application Deadline: November 15

Open Science Retreat

#OpenScienceRetreat24

5 days of Open Science, team work, and enjoying nature on the seaside (Netherlands) March 25 - 29, 2024

Digital Research Academy Train-the-Trainer program

Digital Research Academy Train-the-Trainer program

Training program to become a DRA trainer

January 24 - March 14 (participate once a week)

deRSE conference

#deRSE24

4th conference for Research Software Engineering in Germany

March 5 - 7

​

That's all for this week ;)

All the best,

Heidi

Heidi Seibold, MUCBOOK Clubhouse, Elsenheimerstr. 48, Munich, 81375
​Unsubscribe · Preferences · My newsletters are licensed under CC-BY 4.0​

Dr. Heidi Seibold

All things open and reproducible data science.

Read more from Dr. Heidi Seibold

I get asked for career advice all the time (even though I am just figuring stuff out myself). Generally I try to help by listening and asking questions, but there is one thing that I tell everyone who wants to hear it: pick work where you like the people. How do you pick the research group you want to work with? My recommendation is to pick based on two things: Do you like the topics they work on? Do you get along with the people in the group (in particular your boss/supervisor)? The first is...

The academic publishing system is broken. I think we can all agree on that. But what if you want to have an academic career and at the same time stick to your values of openness? Here's my pragmatic take. I understand the fear of not publishing in established journals. We all want to have a good career and feel like publishing our papers in the journals that our peers and employers deem worthy seems like an important step. As a pragmatic open scientist, I generally recommend not to be too...

Have you complained about the inefficiency of public administration before? I think, you're not alone. In this post I want to share my journey with trying to help increase efficiency through data literacy in the public sector. I am a person who likes to solve problems. Most of my time is spent solving problems in academia, but I decided to leave my usual grounds for a special project where I can help solving problems in the public sector. Why do I care about solving problems in the public...