From augmented reality dinosaurs to deep fake CCTV: Artists and startups using data to tackle misinformation challenges
How artists and start-ups are using data to fight disinformation.
➔How artists and start-ups are using data to fight disinformation.
➔NLP technology is all-pervasive for commonsense knowledge. There are many causes for this. Most of the internet and its data is about commonsense knowledge and world events, so NLP technology is developed over the data domain that is most easily available. But what about the scholarly domain with its rapidly growing body of knowledge produced worldwide? These are those specialized domains of knowledge in Science, Technology, Engineering, and Mathematics (STEM), all of which open up countless doors for NLP.
The opportunities are endless!
➔In 2021, we started our first curation grant program. 9 researchers from various fields of science, engineering and computer science earned a grant to push their field’s open science efforts and curate ORKG content. With over 150 Comparisons and 12 Reviews created, the program was an overwhelming success. But not only the grantees learned something: Due to the close contact to the development team, we got valuable feedback that in parts already made its way into today’s version of the ORKG and will be a basis for constant improvement.
➔Die Online-Community des H2020-Projektes PLATOON schafft ein dynamisches Ökosystem, das Synergien zwischen verschiedenen Interessengruppen fördert, die an der Digitalisierung des Energiesektors interessiert sind
➔The online community of PLATOON aims to create a dynamic ecosystem fostering synergies among different stakeholders interested in the digitalisation of the energy sector
➔How Data Science using the Open Research Knowledge Graph could drive new research
➔Ein Interview mit dem Doktoranden Vitalis Wiens über seine Doktorarbeit, seine Arbeit an der TIB und seine Publikation in der Open-Access-Zeitschrift Scientific Reports
➔In the tipping scale of activities toward the digitalization of scholarly articles, next-generation digital library frameworks such as the Open Research Knowledge Graph, targeting scholarly contributions’ highlights, are already here! We have created the NLPContributionGraph Shared Task that formalizes the building of such a scholarly contributions-focused graph over Natural Language Processing articles as an automated task. If you are eager to build a machine learner, we have the annotated scholarly contributions’ graph data for you—come join us in this endeavor!
➔Compared to the dramatic transformations of other publishing and communication domains, scholarly communication has not changed much over the last decades and centuries. To what degree are researchers satisfied with the current situation? In order to explore this topic, TIB launched a survey on information flows in science.
➔Im Interview: Prof. (Univ. Simón Bolívar) Dr. María-Esther Vidal über das EU-Projekt PLATOON
➔