Publications
Bockermann, C., Drechsler, R., Hastik, C., Janz, A., Matthias, I., Nowotka, D., Pfuhl, H. A., Semmann, M., Steinmann, L., Weinert, H., & Weiß, K., 2025. Positionspapier zur Zukunft der Data- und Digital-Science-Community (Version V1). Zenodo. DOI: doi.org/10.5281/zenodo.17475528
Briedis, K., de Vogel, S., Brandt, G., 2025. Kapitel IV.3.1: Prä-Docs und Promotion. In: P. Pasternack, G. Reinmann, & C. Schneijderberg (Hrsg.), Hochschulforschung (Kap. IV.3.1, S. 705–715). Nomos. DOI: 10.5771/9783748943334.
Büker, S., de Vogel, S., 2025. Data Snack - Tupperware Your Data – Keep Your Data Fresh, Organized & Ready to Serve. Zenodo. DOI: 10.5281/zenodo.15637562.
Büker., S., 2025. Data Snack - Rethinking Research Data Management: Inclusive Practices for Every Mind. Zenodo. DOI: 10.5281/zenodo.17599618.
Cociancig, C., Heuer, H. & Breiter, A., 2025. AI ethics unwrapped: an empirical investigation of ethical principles in collaborative ideation processes. AI Ethics 5, 3159–3172. DOI: 10.1007/s43681-024-00638-9.
de Vogel, S., Steinmann, L., & Drechsler, R., 2025. Empowering Data Literacy for Survey Researchers: Insights from the Interdisciplinary Help-Desk of the Data Competence Center "DataNord". 11th Conference of the European Survey Research Association (ESRA), Utrecht, Netherlands. Zenodo. DOI: 10.5281/zenodo.16264899.
de Vogel, S., Luther, A. R., Steinmann, L., & Drechsler, R., 2025. Interventions to Socio-Technical Problems: Data Literacy and the Case of Online Hate Speech. 5th Conference of the Academy of Sociology (AS), Johannes Gutenberg-University Mainz. Zenodo. DOI: 10.5281/zenodo.17142514.
de Vogel, S., 2025. Data-Science-Center-UB/Intro-Web-Survey-Design: Version 1.0.0 – DSC Workshop Web Survey Design Materials. Zenodo. DOI: 10.5281/zenodo.17366461.
de Vogel, S., Richter, F., 2025. Data Snack – Teach Data, Teach Better: Enhancing University Teaching With Research Data. Zenodo. DOI: 10.5281/zenodo.17453647.
Fuchs, N., Steinmann, L., & Drechsler, R., 2025. Daten als Brücke: Interdisziplinäre Zusammenarbeit zwischen Digital Humanities und Data Science im Projekt DataNord. DHd 2025 Under Construction (DHd2025), Bielefeld, Deutschland. DOI: 10.5281/zenodo.14943190.
Fuchs, N., 2025. Data Snack - Beyond ChatGPT: AI Systems for Qualitative Research. Zenodo. DOI: 10.5281/zenodo.17813904.
Fuchs, N., 2025. Your Digital Research Assistant: An Open Educational Resource for Teaching the Basics of Obsidian. Zenodo. DOI: 10.5281/zenodo.17978804.
Geise, S., Luther, A.R., Breiter, A., 2025. Shaping Social Media for Social Movements: Activists’ Expectations for Social Media Impact, Features, and Safety. Denver, Colorado: Konferenz: 75th Annual Conference of the International Communication Association.
Graceva, V., Goerke, P., Breiter, A., 2025. Organisation Hochschule unter Druck: KI-Policies und isomorphe Prozesse im Hochschulsystem. In Zeitschrift für Hochschulentwicklung, Bd. 20; Nr. 4 , pp.175–193. DOI: 10.21240/zfhe/20-4/08.
Haupt., C. (2025). Data Snack – Basics of Software Publication. Zenodo. DOI: 10.5281/zenodo.17660431.
Hörner, T., Steinmann, L., 2025. Empowering Data Literacy – Strengthening Bremen’s Research. NFDI4DataScience Conference, 25 November 2025, Berlin.
Hüsch, M., Horstmann, N., Breiter, A., 2025. AI usage and expectations of University students in Germany. A cross-disciplinary perspective. Utrecht: Konferenz: EAIR – The European Higher Education Society.
Imam, S. H., 2025. Enhancing User Engagement in Online Collaborative Communities using AI. Unveröffentlichte Dissertation, Universität Bremen, 22 May 2025. DOI: 10.26092/ELIB/4063.
Kubicek, H., Breiter, A., Jarke, J. 2025. Daten, Metadaten, Interoperabilität. In: Klenk, T., Nullmeier, F., Wewer, G. (Hrsg.) Handbuch Digitalisierung in Staat und Verwaltung. Springer VS, Wiesbaden. DOI: 10.1007/978-3-658-37373-3_1.
Luther, A. R., Heuer, H., Geise, S., Haunss, S., & Breiter, A. , 2025, April. Social Media for Activists: Reimagining Safety, Content Presentation, and Workflows. In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 956, pp. 1-18. DOI: doi.org/10.1145/3706598.3713351.
Luther, A.R., Heuer, H., Geise, S., Haunss, S., Breiter, A., 2025. Using Delphi to Understand Activist Needs. Bremen: Konferenz: Jahrestagung des Institut für Protest- und Bewegungsforschung.
Movahedifar, M., Steinmann, L., Drechsler, R., 2025. Interactive Visualization with the R Package Shiny: A Tool for Building Research Data and Software Competencies. INFORMATIK 2025. Bonn: Gesellschaft für Informatik e.V.. PISSN: 2944-7682. pp. 1271. RDSC: Research Data and Software Competencies. Potsdam. 16.–19. September 2025. DOI: 10.18420/inf2025_112.
Movahedifar, M., 2025. Data Snack - Interactive Visualization with the R Package Shiny: A Tool for Building Research Data and Software Competencies. Zenodo. DOI: 10.5281/zenodo.17423437.
Movahedifar, M., 2025. Data Snack - Applied Text Mining and its Application Using Python. Zenodo. DOI: 10.5281/zenodo.15481156.
Mücke, L., Breiter, A., 2025. Einsatz von KI-basierten Systemen in der Altenpflege: Potenziale und Herausforderungen. In: Opielka, M., Erfurth, C. (Hrsg.), Soziale Digitalisierung. Perspektiven der Sozialpolitik. Springer VS, Wiesbaden. DOI: 10.1007/978-3-658-46328-1_18.
Nolte, A., Steinmann, L., & Drechsler, R., 2025. Open Resources for Geoscience Data Science Training: Insights from the Data Competence Center “DataNord”. EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-11877. DOI: 10.5194/egusphere-egu25-11877.
Nolte, A., 2025. Data Snack - Making the Most of Large Language Models in Scientific Programming. Zenodo: 10.5281/zenodo.15423170.
Srikakulam, S. K. (2025). Data Snack - Galaxy a research data powerhouse from analysis to FAIR management. Zenodo. DOI:
10.5281/zenodo.15362959.
Steinmann, L., Pfuhl, H., Nowotka, D., Drechsler, R., 2025. Data-/ Digital-Science-Community Workshop 2025: Entwicklungen, Synergien und nächste Schritte. INFORMATIK 2025. Bonn: Gesellschaft für Informatik e.V.. PISSN: 2944-7682. pp. 1163. Data-Science-Community Workshop: Aktuelle Entwicklungen und Perspektiven (an Hochschulen) im Bereich Data Science – DSCW. Potsdam. 16 – 19 September 2025. DOI: 10.18420/inf2025_99.
Steinmann, L., Hörner, T., Bohnebeck, U., Drechsler, R., Glöckner, F. O., Pigeot, I., 2025. Bremen’s Interdisciplinary Data Competence Center DataNord: An Integrative Approach for Data Literacy in Research. In: Heuveline, Vincent et al. (Hrsg.): E-Science-Tage 2025: Research Data Management: Challenges in a Changing World, Heidelberg: heiBOOKS. DOI: doi.org/10.11588/heibooks.1652.c23928.
Steinmann, L., Hörner, T., Bohnebeck, U., Drechsler, R., Glöckner, F. O., Pigeot, I., 2025. DataNord: Empowerin Data Literacy – Strengthening
Bremen’s Research. E-Science-Tage 2025, Heidelberg. DOI: 10.5281/zenodo.15118350.
Thöricht, H., Steinmann, L., & Drechsler, R., 2025. AI4ED WP4 Training Module: Data Management, FAIR Principles, and Erasmus+ Requirements. Zenodo. DOI: 10.5281/zenodo.15544820.
Brandt G, de Vogel S., 2024. Normalising sequence lengths using the relative duration of episodes: an application to doctoral trajectories in Germany. Longit Life Course Stud. Vol. 15(4):492-505. DOI: 10.1332/17579597Y2024D000000026.
Cociancig, C., Heuer, H. & Breiter, A. , 2024. AI ethics unwrapped: an empirical investigation of ethical principles in collaborative ideation processes. AI Ethics, 5, 3159–3172. DOI: 10.1007/s43681-024-00638-9.
Hüsch, M., Horstmann, N., & Breiter, A., 2024. Künstliche Intelligenz in Studium und Lehre – Die Sicht der Studierenden im WS 2023/24. Gütersloh: Centrum für Hochschulentwicklung. ISBN 978-3-911128-12-4.
Imam, S. H., Drechsler, R. 2024. Let’s Brainstorm: Personalized Chatbot Prototype as Creativity Partner in Idea Crowdsourcing Platforms. Diginomics Summer Conference. Diginomics Summer Conference, Bremen, Germany. 03 July 2024. PDF: agra.informatik.uni-bremen.de/doc/konf/Diginomics2024_SI.pdf.
Imam, S. H., Metz, C. A., Hornuf, L., Drechsler, R., 2024. Determining the Effect of Feedback Quality on User Engagement on Online Idea Crowdsourcing Platforms Using an AI model. Proc. ACM Hum.-Comput. Interact. 8, CSCW2, Article 376. DOI: 10.1145/3686915.
Imam, S.A., Metz., C.A., Drechsler, R., 2024. How Can Generative AI Curate the User Creativity on an Idea Crowdsourcing Platform?, In ACM CHI 24 workshop on Generative AI in User-Generated Content.
Li, Y., Zeng, J., Puschmann, C., & Breiter, A., 2024. Computational Approaches to Visual Framing in Communication Studies. Paper presented at the 74th Annual Conference of the International Communication Association Broadbeach, Queensland.
Metz, C. 2024. Towards sustainable artificial intelligence systems: Enhanced system design with machine learning based design techniques. Unveröffentlichte Dissertation, Universität Bremen, 29 May 2024. DOI: 10.26092/elib/3036.
Pfuhl, H., Steinmann,L., Nowotka,D., Drechsler, R., 2024. Aufbau einer überregionalen Data-Science-Community. In: M. Klein, D. Krupka, C. Winter., M. Gergeleit, L. Martin (Hrsg.): INFORMATIK 2024, pp. 2197-2203. DOI: 10.18420/inf2024_190.
Breiter, A., Bock, A., 2023. Datafizierte Gesellschaft | Bildung | Schule. In: Bock, A., et al. (Hrsg.), Die datafizierte Schule. Springer VS, Wiesbaden. DOI: 10.1007/978-3-658-38651-1_1.
Drechsler, R., Metz, C. A., Plump, C., 2023. Energy-Efficient CNN inferincing on GPUs with Dynamic Frequency Scaling. In: 2nd International Conference on Innovation in Data Analytics (ICIDA). DOI: 10.1007/978-981-97-3466-5_28.
Imam, S.A., Metz., C.A., Hornuf, L., Drechsler, R., 2023. Classifying Crowdsourcing Platform Users' Engagement Behavior using Machine Learning and XAI. In: Mensch und Computer 2023 - Workshopband. DOI: 10.18420/muc2023-mci-ws16-385.
Imam, S.H, S. Hornuf, L., Drechsler R., 2023. A Novel Default Risk Prediction and Feature Importance Analysis Technique for Marketplace Lending using Machine Learning. Credit and Capital Markets, 56 (1), 27-62. DOI: 10.3790/ccm.56.1.27.
León, G. M., Isenberg, P., & Breiter, A., 2023. Eliciting multimodal and collaborative interactions for data exploration on large vertical displays. IEEE Transactions on Visualization and Computer Graphics, 30(2), 1624-1637. DOI: 10.1109/TVCG.2023.3323150.
Metz, C.A. 2023. Machine Learning aided Computer Architecture Design for CNN Inferencing Systems. In: FDL PhD Forum 2023, Turin Italy. DOI: 10.13140/RG.2.2.25637.47840.
Metz, C.A., Plump, C., Berger, B.J., Drechsler, R., 2023. Hybrid PTX Analysis for GPU accelerated CNN inferencing aiding Computer Architecture Design. In: Forum on Specification & Design Languages (FDL), Turin, Italy. DOI: 10.1109/FDL59689.2023.10272088 (Best Paper Award).
Metz, C.A., Goli, M., Drechsler, R., 2023. Fast and Accurate: Machine Learning Techniques for Performance Estimation of CNNs for GPGPUs. In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW), St. Petersburg, Florida, 2023, 754-760. DOI: 10.1109/IPDPSW59300.2023.00127.
Schiefner-Rohs, M., Hofhues, S., & Breiter, A. 2023. Datafizierung (in) der Bildung: Kritische Perspektiven auf digitale Vermessung in pädagogischen Kontexten. transcript Verlag. DOI: 10.14361/9783839465820.
Steinmann, L., Nowotka, D., Oberländer, L., Stuckenschmidt, H., Drechsler, R., 2023. Aktuelle Entwicklungen und Perspektiven (an Hochschulen) im Bereich Data Science. In: M. Klein, D. Krupka, C. Winter., V. Wohlgemuth (Hrsg.): INFORMATIK 2023, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 73. DOI: 10.18420/INF2023_05.
Steinmann. L., Thöricht, H., Zänkert, S., Drechsler, R., 2023. Das Data Science Center an der Universität Bremen: Interdisziplinärer Knotenpunkt und Service-Infrastruktur für die datenintensive Forschung. In: Heuveline, Vincent und Bisheh, Nina (Hrsg.): E-Science-Tage 2023: Empower Your Research – Preserve Your Data, Heidelberg: heiBOOKS. DOI: 10.11588/heibooks.1288.c18083.
Thöricht, H., Zänkert, S., Steinmann, L. Drechsler, R., 2023. How to document your research data (v1.0). Zenodo. DOI: 10.5281/zenodo.8004373.
Thöricht, H., 2023. Data Snack - Machine Learning And Artificial Intelligence Documentation.Zenodo. DOI: 10.5281/zenodo.8083035.
Thöricht, H., Zänkert, S., Steinmann, L., Drechsler, R., 2023. Virtual Writing Workshop With a DMP Playground. Fellowship of the Data – RDM Trainer Network Meeting. Berlin, 21 - 22 June 2023.
Zänkert, S., Thöricht, H., Steinmann, L., & Drechsler, R., 2023. Establishing discipline-specific Data Stewardship at the Data Science Center of the University of Bremen – One Year Review. Data Stewardship goes Germany (DSgG), Dresden/Germany. Zenodo. DOI: 10.5281/zenodo.10047491.
Zänkert, S., Steinmann, L., Thöricht, H., Drechsler, R., 2023. A Data Science Center to Connect Them All - Benefits of an Interdisciplinary Institute to Promote Data Science. Fellowship of the Data – RDM Trainer Network Meeting. Berlin, 21 - 22 June 2023.
Goers, S., 2022. Big Data – Big Potential. Science Blog der Universität Bremen. URL: blogs.uni-bremen.de/scienceblog/2022/10/27/big-data-big-potential/.
Hartman, J., Heuer, H., & Breiter, A., 2022. Data Leakage Through Click Data in Virtual Learning Environments. 20. Fachtagung Bildungstechnologien, (DELFI), Karlsruhe. DOI: 10.18420/delfi2022-025.
Lilkendey J., Thöricht, H., Zänkert, S., Steinmann, L., Drechsler, R., 2022. Data Stewards of the Data Science Center at the University of Bremen - Roles and perspectives. Open Science Festival 2022. DOI: https://doi.org/10.5281/zenodo.7060369.
Metz, C., Goli, M., Drechsler, R. 2022. „Towards Neural Hardware Search: Power Estimation of CNNs for GPGPUs with Dynamic Frequency Scaling“, In 4th ACM/IEEE Workshop on Machine Learning for CAD, Utah, USA. doi.org/10.1145/3551901.3556481.
Metz, C., Goli, M., Drechsler, R., 2022. „ML-based Power Estimation of Convolutional Neural Networks on GPGPUs“, In 25th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), Prague, Czech Republic. doi.org/10.1109/DDECS54261.2022.9770153.
Zänkert, S., Lilkendey, J., Thöricht, H., Steinmann, L., Drechsler, R., 2022. Data Stewards at the Data Science Center of the University of Bremen - Establishing Domain-Specific Data Stewardship. Data Stewardship goes Germany (DSgG) 2022. Braunschweig, 13 October 2022. DOI: 10.24355/dbbs.084-202210281252-0.
Hörner, T., Glöckner, F.O., Drechsler, R., Pigeot, I., 2021. Disziplinübergreifendes Modell zur Ausbildung von Forschungsdatenmanagement und Data Science Kompetenzen: „Data Train – Training in Research Data Management and Data Science“. Bausteine Forschungsdatenmanagement, Nr. 3, pp. 56-69. doi.org/10.17192/bfdm.2021.3.8343.
Metz, C.A., Goli, M., Drechsler, R., 2021. Work-in-Progress: Early Power Estimation of CUDA-based CNNs on GPGPUs. In: International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Virtual Conference. DOI: https://doi.org/10.1145/3478684.3479255.
Metz, C., Goli, M., Drechsler, R., 2021. Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs. In System-level design methods for deep learning on heterogeneous architectures, Grenoble, France. doi.org/10.48550/arXiv.2102.02645.
Pigeot, I., Glöckner, F. O., Drechsler, R., Hörner, T., Schönfeld, D. H., Steinmann, L., & Schmidt, B. O., 2021. Etablierung eines kooperativen Forschungsdatenmanagements in der U Bremen Research Alliance (Version V1). Zenodo. https://doi.org/10.5281/zenodo.4775371.
Steinmann, L., Drechsler, R., 2021. Verzahnung von Data Stewardship und Data Science – Wege und Perspektiven. Bausteine Forschungsdatenmanagement. Bausteine Forschungsdatenmanagement Nr. 3, pp. 82-91. DOI: doi.org/10.17192/bfdm.2021.3.8342.
Steinmann, L., Drechsler, R., 2020. Forschungsdatenmanagement aus der Data Science Perspektive, NFDI4Phys Symposium, 1 – 2 October 2020.
Steinmann, L., Drechsler, R., 2020. Data Stewardship beleuchtet aus der Data Science Perspektive, 11. DINI/nestor-Workshop: "Data Stewardship im Forschungsdatenmanagement - Was ist das? Rollen, Aufgabenprofile, Einsatzgebiete", Berlin, 16 – 17 November 2020.
Daphi, P., Dollbaum, J. M., Haunss, S., & Meier, L., 2025. Local protest event analysis: providing a more comprehensive picture? West European Politics, 48(2), 449–463. DOI: 10.1080/01402382.2024.2363709.
Daria Meier, L., Dollbaum, J. M., Daphi, P., & Haunss, S., 2025. When Topics of Protest and Counter-Protest Diverge: Asymmetrical Issue Contestation in Left-Right Street Confrontations. American Behavioral Scientist, 0(0). DOI: 10.1177/00027642251379625.
Dollbaum, J.M., Meier, L.D., Daphi, P., & Haunss, S., 2025. Protest types and protester profiles: testing meso−micro-associations between event characteristics and participant attitudes. Acta Polit 60, 621–647. DOI: 10.1057/s41269-024-00345-7.
Haunss, S., Daphi, P., Dollbaum, J. M., Hristova, L., Susánszky, P., & Steinhilper, E., 2025. PAPEA: A modular pipeline for the automation of protest event analysis. Political Science Research and Methods, 1–18. DOI: 10.1017/psrm.2025.10013.
Meier., L. D., Dollbaum, J.M., Daphi, P., Haunss, S., 2025. Resisting the far-right: Explaining divergent countermobilization trajectories in two German cities. Mobilization: An International Quarterly, pp. 13-32. DOI: 10.17813/1086-671X-30-1-13
Pohlmann, J., Mello, C., León Henneberg, K., Zerrer, P., 2025. NetzDG on Twitter: A Social Network Analysis of Stakeholders in Public Discourse About Platform Regulation in Germany. Policy & Internet 17, e70016. DOI: 10.1002/poi3.70016.
Redeker, D., 2025. Trust in alternative Governors: Exploring user confidence in companies, states, and civil society in platform content moderation. AoIR Selected Papers of Internet Research. DOI: 10.5210/spir.v2024i0.14151.
Shirinzadeh, F., Nabipour, S., Dalia, K., Jha, C. K., Shirinzadeh, S., & Drechsler, R., 2025. MAC-based Mapping of Adder Architectures to RRAM 21 Crossbars. IEEE 7th International Conference on Emerging Electronics (ICEE), Bengaluru, India. DOI: 10.1109/ICEE67165.2025.11409793.
Dede, J., 2024. Detecting Animals in Challenging Outdoor Environments. Universität Bremen. DOI: 10.26092/elib/2870
Dollbaum, J.M., Meier, L.D., Daphi, P. et al., 2024. Protest types and protester profiles: testing meso−micro-associations between event characteristics and participant attitudes. Acta Polit (2024). DOI: 10.1057/s41269-024-00345-7
Pohlmann, J., Barbaresi, A., Leinen, P., 2024. Der Diskurs zum Netzwerkdurchsetzungsgesetz auf deutschen IT-Blogs und in bundesweiten Tageszeitungen. In: Prinzing, M., Seethaler J., Eisenegger M., Ettinger, P. (Eds.), Regulierung, Governance und Medienethik in der digitalen Gesellschaft. Wiesbaden: Springer VS, pp. 223-243. DOI: 10.1007/978-3-658-42478-7_12
Redeker, D., 2024. Mapping Social Media Platforms: Using Social Media Ads for Survey Recruitment. German Political Science Association (DVPW) Congress 2024, Göttingen, Germany.
Redeker, D., 2024. Legitime Herrschaft durch Social-Media-Plattformen im digitalen Raum? German Political Science Association (DVPW) Congress 2024, Göttingen, Germany.
Redeker, D., 2024. Trust in alternative governors: Exploring user confidence in companies, states and civil society in platform content moderation. Association of Internet Researchers (AoIR) Annual Conference 2024, Sheffield, UK.
Redeker, D., Sturm, I., Cohausz, F., & van der Neut, B., 2024. Small Powers and the US-China Competition: Using Public Opinion Data to Evaluate the Potential for Foreign Policy Change. International Studies Association (ISA) Annual Convention 2024, San Francisco, CA, USA.
Redeker, D., Davidian, G., & Sebastian, K., 2024. Georgia at a Geopolitical Turning Point? The International Dimension of the Backlash Against the "Foreign Agents Law", Preprint. DOI: 10.2139/ssrn.4971523.
Weerts, D., Petersen, M., 2024. Image Enhancement for Machine Vision and Industrial Image Processing. Procedia CIRP, Volume 130, pp. 264-269. DOI: https://doi.org/10.1016/j.procir.2024.10.085
Dede, J., Förster, A., 2023. Animals in the Wild: Using Crowdsourcing to Enhance the Labelling of Camera Trap Images. In Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), pp. 748-754. DOI: 10.1109/DCOSS-IoT58021.2023.00117
Heuer, H., Glassman, E.L., 2023a. Accessible Text Tools: Where They Are Needed & What They Should Look Like. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23). Association for Computing Machinery, New York, NY, USA, Article 20, 1–7. DOI: 10.1145/3544549.3585749
Heuer, H., Glassman, E.L., 2023b. Accessible Text Tools for People with Cognitive Impairments and Non-Native Readers: Challenges and Opportunities. In Proceedings of Mensch und Computer 2023 (MuC '23). Association for Computing Machinery, New York, NY, USA, 250–266. DOI: 10.1145/3603555.3603569
Hornuf, L., Mangold, S., Yang, Y., 2023. Data Privacy and Crowdsourcing. A Comparison of Selected Problems in China, Germany and the United States. Springer Cham. DOI: 10.1007/978-3-031-32064-4
Koopmann, S., Prommer, H., Siade, A., Pichler, T., 2023. Molybdenum Mobility During Managed Aquifer Recharge in Carbonate Aquifers. Environmental Science & Technology Article ASAP, DOI: 10.1021/acs.est.2c08619
Mossig, I., Molina León, G., Düpont, N., & Breiter, A. (2023). Governance bei der Co-Creation eines webbasierten Forschungsdatenmanagementsystems in den Sozialwissenschaften. Bausteine Forschungsdatenmanagement(Nr. 1/2024), 2-15. doi: 10.17192/bfdm.2024.1.8613
Franzen, Marcel, 2022. Automatische Transformierung multilingualer Spracheingaben in Datenbankabfragen. SKILL 2022. Gesellschaft für Informatik, Bonn. PISSN: 1614-3213. ISBN: 978-3-88579-752-4. pp. 141-152. Natural Language Processing. Hamburg. 29.-30. September 2022.
Hassan Imam, S., Huhn, S., Hornuf, L., Drechsler, R., 2022. Feature Importance and Extensibility for Predicting Loan Defaults in Marketplace Lending using BiLSTM. Frontiers of Factor Investing Conference (FoFi), Lancaster, UK.
Molina León, G., Skitalinskaya, G., Düpont, N., Klaff, J., Schlegel, A., Heuer, H., & Breiter, A., 2022. Co-Creating a Research Data Infrastructure with Social Policy Researchers. Proceedings of the 20th European Conference on Computer Supported Cooperative Work, 27 Juni - 1 Juli 2022, Coimbra, Portugal. DOI: 10.48340/ecscw2022_p03
Wiedemann, G., Dollbaum, J. M., Haunss, S., Daphi, P., Meier, L. D., 2022. A Generalized Approach to Protest Event Detection in German Local News. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3883–3891, Marseille, France. European Language Resources Association. doi: aclanthology.org/2022.lrec-1.413.