Dr. Alexander Struck erforscht derzeit die Qualität, Auffindbarkeit und Nachnutzbarkeit von Forschungssoftware als eigenständiges Forschungsergebnis. Sein Fokus liegt auf der praktischen Umsetzung der FAIR4RS-Prinzipien (Findable, Accessible, Interoperable, Reusable) für Software, der Entwicklung von Metadaten-Standards und der Etablierung zentraler Research-Software-Engineering-Einheiten in deutschen Forschungsinstitutionen. Für Forschungseinrichtungen und Universitäten bietet er Handlungsempfehlungen zur besseren Verwaltung, Publikation und Bewertung von Forschungssoftware sowie zur Professionalisierung von Software-Support-Strukturen. Die Arbeiten adressieren Fragen der Reproduzierbarkeit, Transparenz und Nachhaltigkeit in der Forschung und sind für alle Disziplinen relevant, die Software als Forschungswerkzeug oder -output nutzen.
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Dr. Alexander Struck
HU-FIS-Profil ↗Trainings, Education and Further Education - Trainingsveranstaltung „Research Software Day & Week 2026“
university
Förderer: Berlin University Alliance (BUA) Zeitraum: 03/2026 - 12/2026 Projektleitung: Dr. Alexander Struck
Journal of Statistical Mechanics Theory and Experiment · DOI
We propose a new local, deterministic and parameter-free algorithm that detects fuzzy and crisp overlapping communities in a weighted network and simultaneously reveals their hierarchy. Using a local fitness function, the algorithm greedily expands natural communities of seeds until the whole graph is covered. The hierarchy of communities is obtained analytically by calculating resolution levels at which communities grow rather than numerically by testing different resolution levels. This analytic procedure is not only more exact than its numerical alternatives such as LFM and GCE but also much faster. Critical resolution levels can be identified by searching for intervals in which large changes of the resolution do not lead to growth of communities. We tested our algorithm on benchmark graphs and on a network of 492 papers in information science. Combined with a specific post-processing, the algorithm gives much more precise results on LFR benchmarks with high overlap compared to other algorithms and performs very similarly to GCE.
F1000Research · DOI
Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct new research effectively. In other words, software must be available, discoverable, usable, and adaptable to new needs, both now and in the future. Research software therefore requires an environment that supports sustainability. Hence, a change is needed in the way research software development and maintenance are currently motivated, incentivized, funded, structurally and infrastructurally supported, and legally treated. Failing to do so will threaten the quality and validity of research. In this paper, we identify challenges for research software sustainability in Germany and beyond, in terms of motivation, selection, research software engineering personnel, funding, infrastructure, and legal aspects. Besides researchers, we specifically address political and academic decision-makers to increase awareness of the importance and needs of sustainable research software practices. In particular, we recommend strategies and measures to create an environment for sustainable research software, with the ultimate goal to ensure that software-driven research is valid, reproducible and sustainable, and that software is recognized as a first class citizen in research. This paper is the outcome of two workshops run in Germany in 2019, at deRSE19 - the first International Conference of Research Software Engineers in Germany - and a dedicated DFG-supported follow-up workshop in Berlin.
F1000Research · DOI
<ns3:p>Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct new research effectively. In other words, software must be available, discoverable, usable, and adaptable to new needs, both now and in the future. Research software therefore requires an environment that supports sustainability.</ns3:p> <ns3:p/> <ns3:p>Hence, a change is needed in the way research software development and maintenance are currently motivated, incentivized, funded, structurally and infrastructurally supported, and legally treated. Failing to do so will threaten the quality and validity of research. In this paper, we identify challenges for research software sustainability in Germany and beyond, in terms of motivation, selection, research software engineering personnel, funding, infrastructure, and legal aspects. Besides researchers, we specifically address political and academic decision-makers to increase awareness of the importance and needs of sustainable research software practices. In particular, we recommend strategies and measures to create an environment for sustainable research software, with the ultimate goal to ensure that software-driven research is valid, reproducible and sustainable, and that software is recognized as a first class citizen in research. This paper is the outcome of two workshops run in Germany in 2019, at deRSE19 - the first International Conference of Research Software Engineers in Germany - and a dedicated DFG-supported follow-up workshop in Berlin.</ns3:p>