Open Life Science’s Post

I am happy I attended the webinar on Open Research Europe (ORE), an exciting new platform for publishing open access research. It is astonishing to learn that ORE introduces its own article metrics rather than relying on the typical 'impact factor' (IF). This is a great initiative, addressing the lack of comprehensive article performance metrics. Articles on ORE are published before peer review, eliminating the need for arXiv, which does not provide basic metrics like view counts. I am looking forward to learning more about ORE.

Fantastic new article from Eftychia Koukouraki and Christian Kray, looking at how important visual differences are in reproduced maps #GISchat #OpenAccess https://lnkd.in/ew9ERw45 Critical to the foundation of scientific research, the reproducibility of studies and their results is a fundamental element, ensuring the credibility of the findings and fostering trust. Maps play an important role here, as they are used across disciplines to visualize complex insights and outcomes from a wide range of studies. Due to their relevance in this context, it is essential to be able to reproduce maps as well, and consequently, to assess whether a map reproduction was successful. In this paper, we present our research on which aspects affect the success of map reproduction and how to assess map reproduction based on the visual differences between the original and the reproduced map. 

Welcome to read and share the newly published paper "Generating m-Ary Gray Codes and Related Algorithms". This excellent paper is written by Stefka Bouyuklieva, Iliya Bouyukliev, Valentin Bakoev and Maria Pashinska-Gadzheva Read via: https://lnkd.in/gTcmrNyg MDPI St. Cyril and St. Methodius University of Veliko Tarnovo Bulgarian Academy of Sciences #Graycode #combinatorialalgorithms

An interesting blog post from giving historic context to #ResearchCulture, this time to the origin of the phrase "publish or perish". I was very surprised to learn this phrase predates the citation index and journal impact factor, and can be predated to early 20th century, and possibly even prior to that, when the scientific landscape was much different than today. It seems it was even used in positive connotations in some recorded instances! https://lnkd.in/eFCbvXuZ

I attended the webinar on Open Research Europe (ORE), an exciting new platform for publishing open access research. It is astonishing to learn that ORE introduces its own article metrics rather than relying on the typical 'impact factor' (IF). This is a great initiative, addressing the lack of comprehensive article performance metrics. Articles on ORE are published before peer review, eliminating the need for arXiv, which does not even provide basic metrics like view counts. I am looking forward to learning more about ORE.

Spotting #disinformation online might be easier than you think, if you know how to use open-source intelligence correctly. Softwares like #GoogleEarth or #GoogleImageSearch have democratized access to highly advanced intelligence tools like satellite imagery, once only available to governments and security services. ➡ Check out my latest article on the #NatolinBlog to find out how can we leverage the potential of these tools to make our societies more resilient against fake news and online disinformation. https://lnkd.in/dPFkrDNV

In this new Viewpoint article in EASE journal European Science Editing, Philippe Baveye of Saint Loup Research Institute, looks at quality assessments of meta-analyses. Baveye highlight several shortcomings in current standards and practices, and proposes various ways in which the methods, guidance and culture around them could be developed to create more robust, higher quality reports in future. Read the paper in full for free from Volume 50 of European Science Editing now. https://lnkd.in/e7iyTE8D   #MetaAnalysis #SystematicReviews #InstructionsToAuthors #InstructionsToReviewers #Non-SignificantResults #PublicationBias #EuropeanScienceEditing #ESE #EASEpublications

New Working Group Recommendation: The Global Open Research Commons International Model, Version 1.1 Developed by the Global Open Research Commons International Model (GORC IM WG), this model consists of elements, with associated categories, subcategories, attributes and features, to be considered when undertaking the development of a commons of any kind, at any stage. Already in use in several contexts that are adapting and testing the model in real world situations, it is being applied in the development of commons and in other research infrastructure projects. Members are encouraged to read more about the history of this Model and Group, and to provide feedback during the community Review  phase, which ends 8 August. https://bit.ly/3xXdVRy

To be a scientist in the modern world, you have to be able to write things about science. Badly, but never mind that part. It turns out that a lot of scientists only pretend to do the writing up results part. Sometimes, they only pretend to do the science, too. https://lnkd.in/gyK2_ah2 Technoscreed is the newsletter of science, technology and humor.

It is NeurIPS time... and this time back in Vancouver 🥳 I am looking forward to meeting you all! My collaborators and I will present two papers. Please stop by to say hello! Optimal Design for Human Preference Elicitation https://lnkd.in/g3tbiAn2 Wednesday, 430-730pm, West Ballroom A-D 6710 We propose and analyze computationally and statistically efficient algorithms for human preference elicitation for learning preference models. The key idea is to generalize optimal designs, a methodology for computing optimal information-gathering policies, to questions with multiple answers, represented as lists of items. A great collaboration with SUBHOJYOTI MUKHERJEE, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, 刘謌, and yifei ma. Online Posterior Sampling with a Diffusion Prior https://lnkd.in/gcnheGda Thursday, 430-730pm, East Exhibit Hall A-C 2310 In this work, we propose approximate posterior sampling algorithms for contextual bandits with a diffusion model prior. The key idea is to sample from a chain of approximate conditional posteriors, one for each stage of the reverse diffusion process, which are obtained by the Laplace approximation. The approximations are computationally efficient and asymptotically consistent. Another great collaboration with Boris Oreshkin, Youngsuk Park, Aniket Deshmukh, and Rui Song.