Cinq thèmes sont suivis dans ce scoop.it : le libre accès (Open Access), la science citoyenne (citizen science), la science en ligne (Open Science), la science 2.0 et les cours en ligne gratuits (MOOCs).
A l’aide de Wikipédia et d’outils de fabrication digitale, Marcin Jakubowski met librement à disposition de tous les plans détaillés de 50 machines agricoles, permettant ainsi à n’importe qui de construire son propre tracteur ou sa moissonneuse en partant de zéro. Et ce n’est que la première étape d’un projet consistant à écrire un ensemble d’instructions pour un village autogéré entier.
I just got back from the 2012 Open Science Summit which took place in Mountain View, CA. It was an excellent meeting and a great opportunity to meet others using open tools and ideas to forward Science! Check out the list of talks and you can also access videos of all of the talks. And you can also read more about the speakers.
I gave a talk too where I delved deeper into the science behind our work with RepRap for research in Regenerative Medicine and I made the case that open source is a philosophy, not a checkbox. Try not to get caught up in semantics of open vs. not-open (e.g. one could try to label Arduino as not an “open” platform since it has proprietary Atmel chips on the board). Instead, try to think of open projects as those in which you see people as collaborators (“open”), not customers (“closed”). We all have many things we can learn from each other, and who doesn’t want more collaborators to learn science together? Some interesting Q&A at the end too.
L’Open Access est un sujet important pour la communauté de chercheurs en France et dans le monde entier. Pourtant, aucun évènement marquant n’a jamais été organisé à Paris pour célébrer la Semaine internationale de l’Open Access – jusqu’à aujourd’hui.
Academic fraud is clearly a serious issue. It undermines the basic principles of science, and serves no purpose other than to further an individual’s career or reputation, at the cost of diluting our collective knowledge and understanding. However, despite how difficult it is (or should be) to produce fake data, we are seeing a number of high-profile instances where it has been happening for some time before being detected. Cases such as those involving Diederik Stapel and Yoshitaka Fuji highlight a wide range of problems about how research is checked and presented across a wide range of scientific disciplines. In this session, we will discuss how science has found itself in this position, and look at how to implement web-based technology to improve the way research is reviewed and presented, in order to safeguard research from further misconduct in the future.
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