Publications

Publications of the DSC Team

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.

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

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

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: http://dx.doi.org/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: https://doi.org/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), pp. 27-62. DOI: 10.3790/ccm.56.1.27

Metz, C.A. 2023. Machine Learning aided Computer Architecture Design for CNN Inferencing Systems. In: FDL PhD Forum 2023, Turin Italy. DOI: https://doi.org/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: https://doi.org/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, pp. 754-760. DOI https://doi.org/10.1109/IPDPSW59300.2023.00127

Steinmann, L., Nowotka, D., Oberl?nder, 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., Th?richt, H., Z?nkert, S., Drechsler, R., 2023. Das Data Science Center an der Universit?t Bremen: Interdisziplin?rer 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: https://doi.org/10.11588/heibooks.1288.c18083

Th?richt, H., Z?nkert, S., Steinmann, L. Drechsler, R., 2023. How to document your research data (v1.0). Zenodo. DOI: 10.5281/zenodo.8004373

Th?richt, H., 2023. Data Snack - Machine Learning And Artificial Intelligence Documentation.Zenodo. DOI: 10.5281/zenodo.8083035

Z?nkert, S., Th?richt, 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

Hartman, J., Heuer, H., & Breiter, A., 2022. Data Leakage Through Click Data in Virtual Learning Environments. 20. Fachtagung Bildungstechnologien, (DELFI), Karlsruhe. DOI:

Lilkendey J., Th?richt, H., Z?nkert, 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

H?rner, T., Gl?ckner, 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, S. 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., Gl?ckner, F. O., Drechsler, R., H?rner, T., Sch?nfeld, 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, S. 82-91. DOI: doi.org/10.17192/bfdm.2021.3.8342.

Publications Supported by the DSC

A selection of publications made possible through DSC Seed Grants, the use of DSC IT infrastructure, or consulting services.

Dede, J., 2024. Detecting Animals in Challenging Outdoor Environments. Universit?t 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, G?ttingen, Germany.

Redeker, D., 2024. Legitime Herrschaft durch Social-Media-Plattformen im digitalen Raum? German Political Science Association (DVPW) Congress 2024, G?ttingen, 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.

Dede, J., F?rster, 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.