SCI-COM-E 2025 Bewerbung: Difference between revisions
(Created page with "Bewerbung zur [https://sci-com.org/conferences/sci-com-e-2025/ SCI-COM-E 2025], July 30 – August 1, 2025, Frankfurt am Main, Germany. Akzeptiert am 02.06.2025. == ES3C Information == The current program can be soon below. However you can (and should!) still contribute to the program! We try to accommodate as many contributions as we can, so please send a short abstract (max 200 words) by e-mail. === Abstract (200/200) === YouTube and Wikipedia never sleep. Every sec...") |
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The current program can be soon below. However you can (and should!) still contribute to the program! | The current program can be soon below. However you can (and should!) still contribute to the program! | ||
Revision as of 10:50, 1 July 2025
Bewerbung zur SCI-COM-E 2025, July 30 – August 1, 2025, Frankfurt am Main, Germany. Akzeptiert am 02.06.2025.
SCI-COM-E Information
The current program can be soon below. However you can (and should!) still contribute to the program!
We try to accommodate as many contributions as we can, so please send a short abstract (max 200 words) by e-mail.
Abstract (200/200)
YouTube and Wikipedia never sleep. Every second, 43 years’ worth of streaming content is watched, and 360,000 tweets are sent. Our largest knowledge infrastructures can no longer keep pace with the sheer volume of information being created, let alone verify its accuracy or reach those misled by misinformation.
While platforms like Wikipedia serve as general knowledge bases, and the Open Research Knowledge Graph (ORKG) supports scholarly knowledge, no comparable system exists for science communication (SciCom). Without tools such as a search engine for trustworthy science content, like videos or podcasts , it’s easy to slip into misinformation bubbles and echo chambers.
We have researched how we can bring structure to the content flood. This topic is now more important than ever, with GenAI further dragging down the public trust, already stress-tested by a global pandemic and rise of populism. We can highlight systems that are working, and offer ideas to strengthen them. We’ll discuss how Wikipedia helped bring us to this high point of collective knowledge, how knowledge graphs like Wikidata and the ORKG represent the next step forward, and how we can build something like that for us, the SciCom KI: A WissKomm Wiki for accessible, trustworthy science communication.