Open samuel-carleial opened 6 years ago
Could you please tick the checkboxes regarding complexity and time required?
Thanks for adding that @FredrikAugust
Hello, I'd like to work on this
I'd be willing to help work on this project
This is French but also works towards a similar goal: https://github.com/ThibaultLatrille/ControverSciences
Have you started this project??
Hi there,
No unfortunately I did not. I got two other responses of people interested, but lately I did not find time to start that. I keep this idea though for other and for me in the future.
Cheers Samuel
Em 16 de abr de 2019, à(s) 08:00, Rishoban Yokanathan notifications@github.com escreveu:
Have you started this project??
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/open-source-ideas/open-source-ideas/issues/107#issuecomment-483522423, or mute the thread https://github.com/notifications/unsubscribe-auth/AnlfccbBV_d5enwCMijNv2-buQk1saCQks5vhWb_gaJpZM4V_z7O.
Does anyone know the OLKI project? https://olki.loria.fr/
Project description
Scientific research requires a lot of time and dedication, normally making use of scientific experiments to test and analyze specific hypotheses in order to produce new knowledge.
So, what if we had an open platform where interested people that work with science, such as Biology, Chemistry or Physics could collaboratively share their questions and solutions freely? Let say, a platform where:
Nowadays, most of the scientific research and knowledge that gets published internationally comes from well-established institutions with tradition and renown. This platform could in turn help marginalized regions or research groups to improve their research, which by their own means would hardly be achieved. In my opinion, this project could definitely help science improve and reinforce the benefits of collaboration and open-source codes.
This could be also a project that may come in hand with arXiv.org.
Relevant Technology
To achieve this goal, I envision the use of open-source software. For example, Python and R are standard languages in data science that could be easily used in combination with user-friendly GUIs such as Jupyter Notebooks or RStudio, respectively.