Open Innovation in Life Sciences π§ͺ
Open Innovation in Life Sciences (OILS) is an ECR driven association based out of Zurich. OILS helps researchers understand what Open Science is, and how to practise and promote Open Science in their research. |
Today I want to share with you, why this organisation is so interesting for both life scientists as well as others. This not a sponsored post, but I am an advisory board member of OILS (volunteer basis), just so you know my connection to this π. Also thanks goes to Harini Lakshminarayanan from the OILS team for helping me write this post. OILS started off with a conference and the need to keep the knowledge about how to organise it alife amongst an ever changing group of early career researchers (ECRs). The association has been around since 2020 and not only is the now annual conference a big success, but also other events and workshops are born out of OILS these days. One shining example was the recent digital health hackathon OpSciHack. What's particular and interesting to me is, that OILS members see their involvement in OILS as a great way to boost their CV, make valuable connections, and learn skills they may need in their next career steps (like project management). So to them, Open Science work is not only something they believe in, but something that helps their career. And I think they're right! I think initiatives like OILS are very much needed in our research landscape and if you want to learn from them how it's done, reach out to them!
You can of course also reach out to them, if you are curious to know more about them or would like to join OILS. π 6th Annual Open Innovation in Life Sciences conference (#OILS23)Of course, I also need to share that the next conference is coming up soon. Participate in this hybrid format conference to virtually delve into the world of open science and its challenges and success stories on the Innovation Day, plus a dynamic program tailored to enhance your professional journey on Career Day. Join us for the in-person networking aperΓ³ to meet other participants, speakers and the entire conference planning team. Master students can attend the virtual conference entirely for free! Just provide the student details during the registration and join the discussion on open science and innovation. βSubmit your abstract and Pitch your innovative ideas at OILS23. This year, the best pitch will receive a Nikon Camera Kit Z50! This is a great chance to practice your speaking skills and get feedback on your start up. Your next collaborator could be in the audience. Readers of this newsletter are in luck as you receive a discount code π€©. Type Heidiscommunity_50 at registration to receive a 50% discount. Thanks to the OILS team for handing out this discount. FYI: I don't receive anything for promoting this event, but I will be there and would love to see you all. π«Ά Thanks for reading and all the best, Heidi β P.S. please forward this newsletter post to anyone who might be interested in attending the OILS23 conference! |
Heidi Seibold, MUCBOOK Clubhouse, Elsenheimerstr. 48, Munich, 81375 |
Dr. Heidi Seibold
All things open and reproducible data science.
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...