@misc{51679,
  abstract     = {{This is the data set of the project Henze-Digital. It contains project specific authority files (e.g., persons, organizations, places) and editions (e.g., letters, documents).}},
  author       = {{Capelle, Irmlind and Minetti, Elena and Ried, Dennis and Tumat, Antje}},
  publisher    = {{Henze-Digital}},
  title        = {{{HenDi-Data (data package) v1.0.0}}},
  doi          = {{10.5281/ZENODO.8304688}},
  year         = {{2023}},
}

@article{46478,
  abstract     = {{High streets across Europe continue to lose consumers to online retail, leading to business closures and the decline of city centres, impairing cities’ overall liveability. To counter this vicious cycle, our study presents smartmarket2, the first instantiation of a digital actor engagement platform designed specifically for high streets. smartmarket2 enables hybrid online-offline customer journeys by connecting consumers to stores and other high street service providers. In an action design research (ADR) project, we design, implement and evaluate smartmarket2, involving 150 high street operators and 2,300 citizens in three cycles of building, intervention and evaluation. We derive four design principles that contribute prescriptive knowledge on the design of digital actor engagement platforms. Our results reveal that such a platform is able to increase engagement, but that it is subject to actors’ engagement dispositions.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}},
  issn         = {{0960-085X}},
  journal      = {{European Journal of Information Systems}},
  keywords     = {{Digital platform, action design research, design principles, actor engagement, engagement platform, location-based advertising}},
  pages        = {{1--34}},
  publisher    = {{Taylor & Francis}},
  title        = {{{Designing digital actor engagement platforms for local high streets: an action design research study}}},
  doi          = {{10.1080/0960085x.2023.2242847}},
  year         = {{2023}},
}

@article{53232,
  abstract     = {{<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>New business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&amp;D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&amp;D as a strategy to invigorate innovation. R&amp;D project portfolio selection is a complex and challenging task. Despite the management's efforts to implement the best project portfolio selection practices, many projects continue to fail or miss their target. The problem is that selecting R&amp;D projects requires a deep understanding of strategic vision and technical capabilities. However, many decision-makers lack technological insight or strategic vision. This article aims to provide a method to capitalize on the expertise of R&amp;D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&amp;D projects with the organizational vision and mission.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>This article proposes a new strategic approach for R&amp;D project portfolio selection using efficiency-uncertainty maps.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The proposed strategy plane helps decision-makers align R&amp;D project portfolios with their strategies to combine a strategic view and numerical analysis in this research. The proposed strategy plane consists of four areas: Exploitation Zone, Challenge Zone, Desperation Zone and Discretion Zone. Mapping the project into this strategic plane would help decision-makers align their project portfolio according to the corporate perspectives.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>The new approach combines the efficiency and uncertainty dimensions in portfolio selection into an integrated framework that: (i) provides a complete representation of the stochastic decision-making processes, (ii) models the endogenous uncertainty inherent in the project selection process and (iii) proposes a computationally practical and visually unique solution procedure for classifying desirable and undesirable R&amp;D projects.</jats:p></jats:sec>}},
  author       = {{Namazi, Mehdi and Tavana, Madjid and Mohammadi, Emran and Bonyadi Naeini, Ali}},
  issn         = {{1463-5771}},
  journal      = {{Benchmarking: An International Journal}},
  keywords     = {{Business and International Management, Strategy and Management}},
  number       = {{10}},
  pages        = {{4193--4220}},
  publisher    = {{Emerald}},
  title        = {{{A new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps}}},
  doi          = {{10.1108/bij-02-2022-0129}},
  volume       = {{30}},
  year         = {{2023}},
}

@article{50603,
  abstract     = {{<jats:p>Mathematical models and computer simulations play a crucial role in the context of the COVID-19 crisis for knowledge about the possible course of the pandemic and for appropriate policy decisions. The paper presents results from an ethnographic study of a government-funded R &amp; D project dealing with agent-based modeling and simulation (ABMS) in the context of pandemic management. Based on the assumption that the use of computer simulations in pandemic management is not only a means to an end for political or epidemiological goals but also plays a significant role in determining which goals and strategies appear politically legitimate, the paper reconstructs how insights into the pandemic are generated in ABMS and specifically in the researched project and made accessible for decision-making.</jats:p>}},
  author       = {{Hälterlein, Jens}},
  issn         = {{2567-8833}},
  journal      = {{TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis}},
  keywords     = {{General Medicine}},
  number       = {{1}},
  pages        = {{30--35}},
  publisher    = {{Oekom Publishers GmbH}},
  title        = {{{Agentenbasierte Modellierung und Simulation im Pandemiemanagement}}},
  doi          = {{10.14512/tatup.32.1.30}},
  volume       = {{32}},
  year         = {{2023}},
}

@misc{55850,
  abstract     = {{This release covers the state of this prototype app at the end of the funding phase for the Paderborn University part of the Beethoven in the House project. It uses https://api.domestic-beethoven.eu/ld/BithCollection.jsonld as starting point for traversing the LOD graph, and reads data from the project pod available from https://bith.solidcommunity.net/public/bith.ttl (which has no content at the time of the release).}},
  author       = {{Kepper, Johannes}},
  keywords     = {{MEI, Edirom, Music Encoding Initiative, Linked Open Data, MELD}},
  publisher    = {{Zenodo}},
  title        = {{{DomesticBeethoven/bith-annotator: Release 2023-04}}},
  doi          = {{10.5281/ZENODO.7877741}},
  year         = {{2023}},
}

@misc{55835,
  abstract     = {{This dataset contains selective MEI encodings of a number of arrangements of Beethoven’s Opp. 91, 92, and 93. These encodings were prepared in the context of the Beethoven in the House project, jointly funded by AHRC and DFG from 2020 to 2023. It is a slight update on v1.0.0 in better organizing the release assets.}},
  author       = {{Rosendahl, Lisa}},
  keywords     = {{BitH, Dataset, Domestic Music Arrangements, Ludwig van Beethoven, MEI, Music Encoding Initiative}},
  publisher    = {{Zenodo}},
  title        = {{{Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s opp. 91, 92, and 93.}}},
  doi          = {{10.5281/ZENODO.7875059}},
  year         = {{2023}},
}

@inproceedings{44522,
  author       = {{Wurst, Johanna and Rosemann, Daniel and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Concept and Implementation of a Student Design Project for the Development of Sustainable Products}}},
  doi          = {{10.1007/978-3-031-28839-5_88}},
  year         = {{2023}},
}

@article{45484,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Graffiti is an urban phenomenon that is increasingly attracting the interest of the sciences. To the best of our knowledge, no suitable data corpora are available for systematic research until now. The Information System Graffiti in Germany project (<jats:sc>Ingrid</jats:sc>) closes this gap by dealing with graffiti image collections that have been made available to the project for public use. Within <jats:sc>Ingrid</jats:sc>, the graffiti images are collected, digitized and annotated. With this work, we aim to support the rapid access to a comprehensive data source on <jats:sc>Ingrid</jats:sc> targeted especially by researchers. In particular, we present <jats:sc>Ingrid</jats:sc>KG, an RDF knowledge graph of annotated graffiti, abides by the Linked Data and FAIR principles. We weekly update <jats:sc>Ingrid</jats:sc>KG by augmenting the new annotated graffiti to our knowledge graph. Our generation pipeline applies RDF data conversion, link discovery and data fusion approaches to the original data. The current version of <jats:sc>Ingrid</jats:sc>KG contains 460,640,154 triples and is linked to 3 other knowledge graphs by over 200,000 links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications.</jats:p>}},
  author       = {{Sherif, Mohamed Ahmed and da Silva, Ana Alexandra Morim and Pestryakova, Svetlana and Ahmed, Abdullah Fathi and Niemann, Sven and Ngomo, Axel-Cyrille Ngonga}},
  issn         = {{2052-4463}},
  journal      = {{Scientific Data}},
  keywords     = {{Library and Information Sciences, Statistics, Probability and Uncertainty, Computer Science Applications, Education, Information Systems, Statistics and Probability}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{IngridKG: A FAIR Knowledge Graph of Graffiti}}},
  doi          = {{10.1038/s41597-023-02199-8}},
  volume       = {{10}},
  year         = {{2023}},
}

@misc{45558,
  abstract     = {{Graffiti is an urban phenomenon that is increasingly attracting the interest of the sciences. To the best of our knowledge, no suitable data corpora are available for systematic research until now. The Information System Graffiti in Germany project (Ingrid) closes this gap by dealing with graffiti image collections that have been made available to the project for public use. Within Ingrid, the graffiti images are collected, digitized and annotated. With this work, we aim to support the rapid access to a comprehensive data source on Ingrid targeted especially by researchers. In particular, we present IngridKG, an RDF knowledge graph of annotated graffiti, abides by the Linked Data and FAIR principles. We weekly update IngridKG by augmenting the new annotated graffiti to our knowledge graph. Our generation pipeline applies RDF data conversion, link discovery and data fusion approaches to the original data. The current version of IngridKG contains 460,640,154 triples and is linked to 3 other knowledge graphs by over 200,000 links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications.}},
  author       = {{Sherif, Mohamed and Morim da Silva, Ana Alexandra and Pestryakova, Svetlana and Ahmed, Abdullah Fathi Ahmed and Niemann, Sven and Ngonga Ngomo, Axel-Cyrille}},
  publisher    = {{LibreCat University}},
  title        = {{{IngridKG: A FAIR Knowledge Graph of Graffiti}}},
  doi          = {{10.5281/ZENODO.7560242}},
  year         = {{2023}},
}

@misc{42995,
  author       = {{Al Mamoun, Mohamed and Neukötter, Moritz}},
  title        = {{{Evaluation of self-built low-budget particle sensors (Study Project)}}},
  year         = {{2023}},
}

@inproceedings{57201,
  abstract     = {{The mei-friend editor aims to address the challenges faced in the "last mile" of preparing MEI encodings, specifically the conversion and correction of the encodings through a user-friendly interface that allows users to manipulate the MEI encoding through an interactive rendering display. To complement these functions, various tools for enriching encodings with annotations and markup are currently under further development, allowing for the creation of high-quality digital resources and digital music editions. The goal is to increase the users’ abilities to manipulate the encoding based on selections within the visual rendering of the score. However, the complexity of adding support for editorial markup in MEI requires careful consideration of technical possibilities and project needs. This paper explores the needs of music editors based on user-centred approaches to understand the challenges of UI design and bridge the gap between user goals and technological systems. By considering the people, activities, contexts, and technologies involved in digital music editing, the aim is to develop a tool that enhances the creation of digital music editions while accommodating the complexities and requirements of the musicological research community. Interviews conducted with music editors as prospective users provided valuable insights into their work, informing the development process.}},
  author       = {{Plaksin, Anna Viktoria Katrin}},
  booktitle    = {{Proceedings of the 10th International Conference on Digital Libraries for Musicology}},
  location     = {{Milan}},
  publisher    = {{ACM}},
  title        = {{{Understanding the needs of music editors in a digital world. Adding support for editorial markup to the mei-friend editor}}},
  doi          = {{10.1145/3625135.3625149}},
  year         = {{2023}},
}

@article{32335,
  abstract     = {{Aspects of data science surround us in many contexts, for example regarding climate change, air pollution, and other environmental issues. To open the “data-science-black-box” for lower secondary school students we developed a data science project focussing on the analysis of self-collected environmental data. We embed this project in computer science education, which enables us to use a new knowledge-based programming approach for the data analysis within Jupyter Notebooks and the programming language Python. In this paper, we evaluate the second cycle of this project which took place in a ninth-grade computer science class. In particular, we present how the students coped with the professional tool of Jupyter Notebooks for doing statistical investigations and which insights they gained.}},
  author       = {{PODWORNY, SUSANNE and Hüsing, Sven and SCHULTE, CARSTEN}},
  issn         = {{1570-1824}},
  journal      = {{STATISTICS EDUCATION RESEARCH JOURNAL}},
  keywords     = {{Education, Statistics and Probability}},
  number       = {{2}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}}},
  doi          = {{10.52041/serj.v21i2.46}},
  volume       = {{21}},
  year         = {{2022}},
}

@inproceedings{29302,
  abstract     = {{This paper introduces the project Scale4Edge. The project is focused on enabling an effective RISC-V ecosystem for optimization of edge applications. We describe the basic components of this ecosystem and introduce the envisioned
demonstrators, which will be used in their evaluation.}},
  author       = {{Ecker, Wolfgang and Adelt, Peer and Müller, Wolfgang and Heckmann, Reinhold and Krstic, Milos and Herdt, Vladimir and Drechsler, Rolf and Angst, Gerhard and Wimmer, Ralf and Mauderer, Andreas and Stahl, Rafael and Emrich, Karsten and Mueller-Gritschneder, Daniel and Becker, Bernd and Scholl, Philipp and Jentzsch, Eyck and Schlamelcher, Jan and Grüttner, Kim and Bernardo, Paul Palomero and Brinkmann, Oliver and Damian, Mihaela and Oppermann, Julian and Koch, Andreas and Bormann, Jörg and Partzsch, Johannes and Mayr, Christian and Kunz, Wolfgang}},
  booktitle    = {{In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022)}},
  title        = {{{The Scale4Edge RISC-V Ecosystem}}},
  year         = {{2022}},
}

@article{33692,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>An individual’s relation to time may be an important driver of pro-environmental behaviour. We studied whether young individual’s gender and time-orientation are associated with pro-environmental behaviour. In a controlled laboratory environment with students in Germany, participants earned money by performing a real-effort task and were then offered the opportunity to invest their money into an environmental project that supports climate protection. Afterwards, we controlled for their time-orientation. In this consequential behavioural setting, we find that males who scored higher on <jats:italic>future-negative</jats:italic> orientation showed significantly more pro-environmental behaviour compared to females who scored higher on <jats:italic>future-negative</jats:italic> orientation and males who scored lower on <jats:italic>future-negative</jats:italic> orientation. Interestingly, our results are completely reversed when it comes to <jats:italic>past-positive</jats:italic> orientation. These findings have practical implications regarding the most appropriate way to address individuals in order to achieve more pro-environmental behaviour.</jats:p>}},
  author       = {{Hoffmann, Christin and Hoppe, Julia Amelie and Ziemann, Niklas}},
  issn         = {{1748-9326}},
  journal      = {{Environmental Research Letters}},
  keywords     = {{Public Health, Environmental and Occupational Health, General Environmental Science, Renewable Energy, Sustainability and the Environment}},
  number       = {{10}},
  publisher    = {{IOP Publishing}},
  title        = {{{Who has the future in mind? Gender, time perspectives, and pro-environmental behaviour}}},
  doi          = {{10.1088/1748-9326/ac9296}},
  volume       = {{17}},
  year         = {{2022}},
}

@article{48108,
  abstract     = {{<jats:p>Aspects of data science surround us in many contexts, for example regarding climate change, air pollution, and other environmental issues. To open the “data-science-black-box” for lower secondary school students we developed a data science project focussing on the analysis of self-collected environmental data. We embed this project in computer science education, which enables us to use a new knowledge-based programming approach for the data analysis within Jupyter Notebooks and the programming language Python. In this paper, we evaluate the second cycle of this project which took place in a ninth-grade computer science class. In particular, we present how the students coped with the professional tool of Jupyter Notebooks for doing statistical investigations and which insights they gained.</jats:p>}},
  author       = {{PODWORNY, SUSANNE and HÜSING, SVEN and SCHULTE, CARSTEN}},
  issn         = {{1570-1824}},
  journal      = {{STATISTICS EDUCATION RESEARCH JOURNAL}},
  keywords     = {{Education, Statistics and Probability}},
  number       = {{2}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}}},
  doi          = {{10.52041/serj.v21i2.46}},
  volume       = {{21}},
  year         = {{2022}},
}

@misc{48252,
  author       = {{Schneider, Jennifer Nicole}},
  title        = {{{EU-CERT. First Transnational Project Meeting. Presentation at the EU-CERT Meeting: Financial, Marketing and Dissemination.}}},
  year         = {{2022}},
}

@phdthesis{31363,
  abstract     = {{Vorgestellt wird ein Entwicklungsforschungsprojekt zur Konzeption und Durchführung einer Veranstaltung "Geometrie für Lehramtsstudierende". Die Schwerpunkte des Projekts sind zum einen die inhaltliche Gestaltung der Veranstaltung und zum anderen die Umsetzung von Professionsorientierung. Bezogen auf den inhaltlichen Aufbau wird das auf metrischen Räumen aufbauende Axiomensystem der "Saccheri-Ebene" vorgestellt und mit alternativen axiomatischen Zugängen zur ebenen Geometrie verglichen. Die Frage nach der Umsetzung von Professionsorientierung in Fachveranstaltungen ist eng mit der Problematik der zweiten Diskontinuität verbunden. In der Arbeit wird dieses Problem auf Grundlage der Synthese von theoretischen Hintergründen zur Bedeutung von mathematischem Wissen und Können für professionelle Handlungskompetenz von Mathematiklehrkräften diskutiert und darauf aufbauend werden theoriebasierte Entwurfsprinzipien für professionsorientierte Fachveranstaltungen entworfen. Zentrale Elemente der methodischen Gestaltung sind die sogenannten "Schnittstellenwochen" zu den Themen Kongruenz und Symmetrie sowie das begleitende Schnittstellen-ePortfolio. Das zentrale Ergebnis der Arbeit ist ein theoretisch fundiertes und empirisch evaluiertes ganzheitliches Veranstaltungskonzept für eine professionsorientierte Geometrie-Veranstaltung für Lehramtsstudierende, dessen Konzeption auf andere Fachveranstaltungen übertragbar ist. Darüber hinaus ergeben sich im Rahmen der durchgeführten Entwicklungsforschung verschiedene neue Beiträge zur Geometriedidaktik in Schule- und Hochschule.}},
  author       = {{Hoffmann, Max}},
  pages        = {{410}},
  title        = {{{Von der Axiomatik bis zur Schnittstellenaufgabe: Entwicklung und Erforschung eines ganzheitlichen Lehrkonzepts für eine Veranstaltung Geometrie für Lehramtsstudierende}}},
  doi          = {{10.17619/UNIPB/1-1313}},
  year         = {{2022}},
}

@misc{48241,
  author       = {{Beutner, Marc and Schneider, Jennifer Nicole}},
  title        = {{{European Certificates and Accreditation for European Projects. The EU-CERT-Project – Insight into PR1: EU-CERT - Research on Quality Criteria, Accreditation and Certificate Structures}}},
  year         = {{2022}},
}

@misc{48242,
  author       = {{Beutner, Marc and Schneider, Jennifer Nicole}},
  title        = {{{EU-CERT - European Certificates and Accreditation for European Projects. The EU-CERT-Project - Insight into PR2: EU-CERT - Concept Design for Accreditation and Certification Processes}}},
  year         = {{2022}},
}

@misc{48245,
  author       = {{Beutner, Marc and Schneider, Jennifer Nicole}},
  title        = {{{EU-CERT - European Certificates and Accreditation for European Projects. The EU-CERT-Project - Insight into PR4: EU-CERT - Accreditation Handbook}}},
  year         = {{2022}},
}

