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Resource-aware Research on Universe and Matter: Call-to-Action in Digital Transformation

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arxiv 2311.01169 v1 pith:KS4KNTLX submitted 2023-11-02 physics.comp-ph astro-ph.IMcond-mat.mtrl-scihep-exphysics.soc-ph

Ben Bruers , Marilyn Cruces , Markus Demleitner , Guenter Duckeck , Michael Düren , Niclas Eich , Torsten En{ss}lin , Johannes Erdmann
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Martin Erdmann Peter Fackeldey Christian Felder Benjamin Fischer Stefan Fröse Stefan Funk Martin Gasthuber Andrew Grimshaw Daniela Hadasch Moritz Hannemann Alexander Kappes Raphael Kleinemühl Oleksiy M. Kozlov Thomas Kuhr Michael Lupberger Simon Neuhaus Pardis Niknejadi Judith Reindl Daniel Schindler Astrid Schneidewind Frank Schreiber Markus Schumacher Kilian Schwarz Achim Streit R. Florian von Cube Rod Walker Cyrus Walther Sebastian Wozniewski Kai Zhou
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classification physics.comp-phastro-ph.IMcond-mat.mtrl-scihep-exphysics.soc-ph
keywords digitalresearchtransformationmattermeasuresresource-awareuniverseaccelerate
verification ladder T0 review T1 audit T2 compute T3 formal
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Given the urgency to reduce fossil fuel energy production to make climate tipping points less likely, we call for resource-aware knowledge gain in the research areas on Universe and Matter with emphasis on the digital transformation. A portfolio of measures is described in detail and then summarized according to the timescales required for their implementation. The measures will both contribute to sustainable research and accelerate scientific progress through increased awareness of resource usage. This work is based on a three-days workshop on sustainability in digital transformation held in May 2023.

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  1. Quantifying imperfect cognition via achieved information gain

    cs.IT 2025-02 conditional novelty 5.0 of 10

    Achieved information gain, the ideal-minus-remaining relative entropy, quantifies how much of an update to a belief state is actually correct and can be negative for misleading updates.

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