| ORCID | https://orcid.org/0000-0001-9488-1870 |
| Wikidata/Scholia | https://scholia.toolforge.org/author/Q20895785 |
| 🐘 | https://riojournal.com/ |
| Collaboration principles | https://github.com/Daniel-Mietchen/pledges |
Kommt morgen 15 Uhr zur großen Klimademo. Bewahrt die von Dresden-Zero erstrittennen Klimaziele. Schützt die Klimaschutzmaßnahmen vor den Angriffen von CDU und anderen Fraktionen.
Alle Infos und der Aufruf unter: https://nengemaier.de/2026/03/16/klimademo-26-3-2026-15-uhr-am-rathaus/
The slides for my talk "Open data matters most when the stakes are high: An open knowledge stack fostering responsible innovation for disaster preparedness" at the Grand Challenges Conference in Berlin today sits at https://doi.org/10.5281/zenodo.19183964 .
#gcconference #disaster #resilience #sedoa #diamondoA #datasharing #FAIRdata
This repo hosts materials associated with a presentation given at the Grand Challenges Conferences on 24 March 2026 at the Futurium in Berlin. Title: Open data matters most when the stakes are high: An open knowledge stack fostering responsible innovation for disaster preparedness Abstract Disaster preparedness and response depend not only on technological capabilities but on innovation practices that are trusted, inclusive, and actionable before crises occur. This contribution conceptualizes responsible innovation as an open knowledge stack that integrates existing disaster response scenarios with large-scale open collaboration, FAIR data, reproducible methods, and diamond open access dissemination. Although plans for the most likely disaster scenarios already exist at several levels, many details remain insufficiently shared or understood by all stakeholders before crises hit. This gap limits the ability of the uninitiated to engage effectively when rapid decisions are needed. By treating diverse knowledge sources - from community observations and collective memory to sensor networks and risk models - as public goods, the open stack combats misinformation and fosters the transparency and inclusivity that are essential for systemic risk mitigation. Transparent workflows for generating, processing, and evaluating both existing information and knowledge gaps form the operational core of this stack, especially in light of the uncertainties and fast developments that frequently accompany crises. When assumptions, data, models and decision options are comprehensively shared in a FAIR and reproducible fashion, they become public tools for consensus-building, enabling community adoption, interdisciplinary reuse, institutional coordination, public scrutiny and meaningful adaptations to changing contexts. We propose that reproducibility and openness serve as critical pre-disaster trust-building mechanisms. Stakeholders who engage with such shared, verifiable knowledge workflows and infrastructures in advance are better equipped to act decisively under pressure. Diamond open access completes the stack by removing financial and legal barriers, ensuring that vital insights remain immediately accessible to all. By framing responsible innovation as a maintained, scalable system of knowledge workflows and associated infrastructure rather than ad hoc efforts, this work demonstrates how trust, preparedness and resilience can be strengthened amid growing systemic risks and transformation.
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The slides for my talk "Diamond Open Access as a Principal Component of FAIR Mathematics" at the #MaRDI workshop "From the proof to the library shelf" are up at https://doi.org/10.5281/zenodo.19065897
#FAIRdata #FAIRsoftware #FAIRmath #SeDOA #DiamondOA #mathematics #libraries
This is a presentation given at the Vom Beweis zum Bibliotheksregal 2026 workshop in Leipzig on 17 March 2026.Abstract: The FAIR principles are reshaping the curation and reuse of mathematical research data, software and publications, both within initiatives like MaRDI and far beyond. To fully leverage their potential, however, the specific challenges of mathematical communication - ranging from rendering and indexing complex notation to interlinking with research software - require equally robust publishing solutions. This talk argues that Diamond Open Access, where neither authors nor readers pay for literature access, is not merely an economic alternative but a fundamental component of addressing these challenges at the intersection of mathematical content and technology. We will explore how community-governed Diamond models (e.g., university presses, overlay journals) are uniquely positioned to let mathematical needs drive technical solutions. Unlike commercial workflows, these platforms can prioritize the integrity of mathematical content, e.g. by preserving the semantic fidelity of formulas throughout publishing workflows, enabling support for LEAN-style formalizations and more actively facilitating software discovery. Drawing on developments from zbMATH Open as well as the SeDOA and find.software projects, this session outlines actionable strategies for librarians to cultivate and integrate these Diamond ecosystems into their workflows. We conclude with a practical outlook on how Diamond infrastructures can and do serve as a key vehicle for seamlessly connecting publications with FAIR data, ensuring that the “math” in the metadata remains as usable and discoverable as the article itself.
Our NFDI4DS Lecture Series continues with Lecture 14 on 24. March 2026 9:00 online.
Andreas Geiger will present Scholar Inbox, a new open-access platform designed to address the challenges researchers face in staying current with the rapidly expanding volume of scientific literature
Registration: https://events.hifis.net/event/3497/
#NFDI4DS #NFDIrocks #LectureSeries #sholarlyPapers #AIAssistant #Science
RE: https://chaos.social/@leonido/115746409088593587
Seit kurzem ist jetzt das Programm zur Tagung "Wikipedia in der Wissenschaftskommunikation" an der @uniinnsbruck final, ft. u.a. Kirsten Bode von @ZDF über die Nutzung Wikipedia-kompatibler Lizenzen bei "Terra X": https://www.uibk.ac.at/de/public-relations/wikipedia/tagung-wissen-sichtbar-machen-mit-wikipedia-2026/
b-unicyling
Norbert Engemaier
ApaulD
Knowledge Pixels
Egon Willigh☮gen 🟥
NFDI4DS
Stephen Turner
Leonhard Dobusch