Publications

Presentations and Other Contributions

Kreuter, F. (2024, September 5). Unlocking Unstructured Data: Bridging Social (Survey) Sciences and NLP/LLM Research Through Open Science. Open Data Science Conference (ODSC), Cambridge, MA, USA.
Reisenbichler, M. (2024, June 10). Big Data Analytics: Image Mining -State-of-the-Art 2024.
Dietze, S. (2024, May 26). Understanding Scientific and Societal Adoption of Scientific Knowledge and Resources Through NLP and Knowledge Graphs. Keynote Talk, SemTech4STLD, ESWC 2024.
Jutz, R. (2024, May 16). Sektion Industry Engagement. Sommertagung der GFPi-Abteilung Pflanzeninnovation, Gatersleben.
Schumm, I., & Murcia Serra, J. (2024, May 15). FDM-Infrastrukturen. Forschungsdatenmanagement in der Fachreferatsarbeit (Wirtschafts- und Sozialwissenschaften).
Kamlah, J., & Shigapov, R. (2024, May 15). Forschungsdaten analysieren. Forschungsdatenmanagement in der Fachreferatsarbeit (Wirtschafts- und Sozialwissenschaften).
Kamlah, J., & Shigapov, R. (2024, May 15). Forschungsdaten erheben. Forschungsdatenmanagement in der Fachreferatsarbeit (Wirtschafts- und Sozialwissenschaften).
Schumm, I., & Murcia Serra, J. (2024, May 15). Forschungsdatenmanagement-Grundlagen. Forschungsdatenmanagement in der Fachreferatsarbeit (Wirtschafts- und Sozialwissenschaften).
Stoilova, V. (2024, May 15). Rechtliche Aspekte von Forschungsdaten. Forschungsdatenmanagement in der Fachreferatsarbeit (Wirtschafts- und Sozialwissenschaften).
Stahl, F., & Heitmann, M. (2024, March 6). BERD@NFDI – Services and Platform for Professional Management of Research Data and Algorithms in Business Studies. VHB Tagung, Lüneburg, Germany.
Hassan, M. (2024, March 6). Agile Software Engineering of Research Data Management Infrastructures.
Tochtermann, K., & Saleh, A. (2024, March 4). BERD – An Invenio-based platform for Research Data Management in business, economics and related fields. NFDITalk, Online.
Ohnesorge, F. (2024, March). BERD@NFDI: A Data Marketplace to Foster Industry – Academia Collaboration. German Data Science Days, Munich.
Shigapov, R. (2024, February 15). ChatGPT for FAIR Research Data. Research Data Management Seminars at the University of Mannheim, Online.
Schumm, I. (2024, February 14). BERD@NFDI – Angebote für die Buch-, Bibliotheks- und Informationswissenschaft. NFDI-Workshops des FID BBI.
Stoilova, V. (2024, January 8). Data Protection in Research Data Management.
Witte, M. (2024). Methods in Marketing: Leveraging Artificial Intelligence for Academic Information Dissemination. EMAC (European Marketing Academy Conference), Image Classification, Natural Language Processing, Bukarest, Romania.
Reisenbichler, M. (2024). Applying Large Language Models to Sponsored Search Advertising.
Reisenbichler, M. (2024). Visual Similarity to the Past.
Jansen, T. P. J. (2024). Automated Alignment: Guiding Visual Generative AI for Brand Building and Customer Engagement.
Heitmann, M. (2024). Automated Alignment: Guiding Visual Generative AI for Brand Building and Customer Engagement.
Heitmann, M. (2024). Introducing BERD Data Analytics Portal.
Hegmann-Napp, C. (2024). From Critique to Creation: Utilizing Generative AI for Transformative Product Design.
Shigapov, R. (2023, December 15). Optimizing FAIR data sharing with ChatGPT. ENGAGE.EU Webinar on FAIR data, Online.
Haas, V. (2023, November 3). Transforming Data Management in Business, Economic, and Related Sciences. Annual Digital Catalysis & Catalysis-Related Sciences Conference 2023 (ADCR 2023), Frankfurt.
Schumm, I. (2023, September 25). Forschungsdatenmanagement-Grundlagen. Forschungsdatenmanagement in der Fachreferatsarbeit (Wirtschafts- und Sozialwissenschaften).
Kreuter, F. (2023, July 17). Utilizing NLP in data collection projects. Words to Numbers. Using NLP Methods for Research in the Social Sciences and Humanities, München, Germany.
Stahl, F. (2023, July 4). BERD@NFDI – Concept and Benefits for Empirical Researchers. Joint Conference on Research on Text Analytics, Mannheim, Germany.
Pethig, F. (2023, July 4). Harmful or Helpful? Using Text Analytics to Understand the Effects of Plattform Interventions. Joint Conference on Research on Text Analytics, Mannheim.
Heitmann, M. (2023, July 4). Natural Language Processing in Marketing and Business Research. Joint Conference on Research on Text Analytics, Mannheim.
Stoilova, V. (2023, June 27). iVA: Datenschutz mit Unterstützung – Back to Basics. Thuringian RDM Days 2023, Online.
Shigapov, R. (2023, June 2). FAIR Data Week: R for Reusable. FAIR Data Week, Online.
Shigapov, R. (2023, June 1). FAIR Data Week: I for Interoperable. FAIR Data Week, Online.
Shigapov, R. (2023, May 31). FAIR Data Week: A for Accessible. FAIR Data Week, Online.
Shigapov, R. (2023, May 30). FAIR Data Week: F for Findable. FAIR Data Week, Online.
Murcia Serra, J., & Schumm, I. (2023, May 25). Fit for Forschungsdatenmanagement – Auf dem Weg zum BERD@NFDI Train-the-Trainer-Programm für Bibliotheksbeschäftigte. 111. BiblioCon2023, Hannover.
Kamlah, J., & Schmidt, T. (2023, May 24). Ground Truth-Erstellung und Modelltraining mit eScriptorium. 111. BiblioCon2023, Hannover.
Dietze, S. (2023, May 10). AI in between online and offline discourse – and what is the role of ChatGPT in all of that? Denkreise 2022: Wohin Wollen Wir Leben, Center For Life Ethics, Bonn University.
Shigapov, R. (2023, May 9). Warum brauchen wir Wissensgraphen in NFDI? KIM Workshop 2023, Mannheim, Germany.
Kamlah, J., & Shigapov, R. (2023, May 4). The German Production Pipeline: Mannheim – OCR & Knowledge Graphs. Digitisation and OCR Workshop for Eurhisfirm community members, Groningen. https://doi.org/
Schumm, I. (2023, March 30). Von print zu digital, vom Bild zum Volltext, von unstrukturiert zu strukturiert – Forschungsdaten der Wirtschafts und Sozialgeschichte in BERD@NFDI. V. Kongress für Wirtschafts und Sozialgeschichte, Leipzig.
Kamlah, J. (2023, March 30). Möglichkeiten und Unmöglichkeiten moderner Texterkennung – Erfahrungen aus BERD@NFDI bei der Gewinnung von Forschungsdaten aus historischen Dokumenten. V. Kongress für Wirtschafts- und Sozialgeschichte, Leipzig.
Oberländer, L., & Stoilova, V. (2023, March 15). Wer ist iVA? Und wozu braucht man einen Datenschutzassistenten? forschungsdaten.info Live Veranstaltungsreihe.
Shigapov, R. (2023, February 15). Knowledge graphs for interoperable NFDI: Digital editions. Text+ FAIR February Meetup – Let’s talk FAIR Digital Editions, Online.
Herklotz, M., & Stoilova, V. (2023, January 26). Privacy in Practice – Enhancing Privacy Literacy through an interactive Virtual Assistant (iVA). Quo Vadis, Digital Privacy? Perceptions, Practices, and Policies.
Reisenbichler, M., Tetzlaff, K., Rosada, J., & Witte, M. (2023). Applying Large Language Models to Sponsored Search Advertising.
Reisenbichler, M. (2023). Machine Learning Based Content Marketing Optimization.
Herklotz, M., & Weber, W. (2023). BERD Academy: Data Science Kompetenzen für Forschende in Business, Economics and Related Sciences.
Witte, M. (2023). Image Data for Machine Learning Research in Marketing. EMAC (European Marketing Academy Conference), Natural Language Processing, Classification, and Natural Language Generation, Odense, Denmark.
Reisenbichler, M. (2023). Applying Large Language Models to Sponsored Search Advertising.

Publications

Rehm, G., Dietze, S., Schimmler, S., & Krüger, F. (2024, May 24). Workshop on Natural Scientific Language Processing 2024 (NSLP 2024). https://link.springer.com/book/9783031657931
Murcia Serra, J. (2024, January 31). Eine FDM-Lernzielmatrix für die Sozial- und Wirtschaftswissenschaften 2024. https://zenodo.org/doi/10.5281/zenodo.11260247
Witte, M., Reisenbichler, M., Heitmann, M., & Zhang, K. (2024). The Power of AI in Politics: Analyzing the Potential of Large Language Models.
Henninger, F. (2023, September 14). Born-fair data projects using cookiecutter templates. 1st Conference on Research Data Infrastructure (CoRDI), Karlsruhe. https://doi.org/10.52825/CoRDI.v1i.331
Aßenmacher, M., Rauch, L., Goschenhofer, J., Stephan, A., Bischl, B., Roth, B., & Sick, B. (2023). Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. Proceedings of the 7th Workshop on Interactive Adaptive Learning (Co-Located with ECML-PKDD 2023), 65–73. https://ceur-ws.org/Vol-3470/paper7.pdf
Abu Ahmad, R., Borisova, E., Rehm, G., Dietze, S., Karmakar, S., Otto, W., D’Souza, J., Limani, F., & Usbeck, R. (2023). NFDI4DS Shared Tasks. INFORMATIK 2023 – Designing Futures: Zukünfte Gestalten, 931–935. https://doi.org/10.18420/inf2023_105
Stocker, M., Rossenova, L., Shigapov, R., Betancort, N., Dietze, S., Murphy, B., Bölling, C., Schubotz, M., & Koepler, O. (2022). Knowledge Graphs – Working Group Charter (NFDI section-metadata). https://doi.org/10.5281/zenodo.7228955
Koch, P., Aßenmacher, M., & Heumann, C. (2022). Pre-trained language models evaluating themselves – A comparative study. Proceedings of the Third Workshop on Insights from Negative Results in NLP, 180–187. https://aclanthology.org/2022.insights-1.25.pdf
Boehm, F., von Francken-Welz, M., Hallinan, D., Lan Nguyen, T., Oberländer, L., Petri, G., Stoilova, V., & Vettermann, O. (2022). Stellungnahme zum EU Data Act Proposal der Sektion ELSA (Ethical, Legal & Social Aspects) des Verein Nationale Forschungsdateninfrastruktur (NFDI) e.V (No. F3258672; pp. 1–5). https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/13045-Datengesetz-und-geanderte-Vorschriften-uber-den-rechtlichen-Schutz-von-Datenbanken/F3258672_de
Herklotz, M., & Oberländer, L. (2022). iVA: Ein interaktiver Virtueller Assistent von BERD@BW zur Aufbereitung von Rechtsfragen im Bereich Open Science. E-Science-Tage 2021: Share Your Research Data, 306–313. https://doi.org/http://dx.doi.org/10.11588/heibooks.979.c13742
Gehrlein, S., Kamlah, J., Pintsch, M., Schumm, I., & Weil, S. (2020). Vom Papier zur Datenanalyse. “Neue” historische Forschungsdaten für die Wirtschaftswissenschaften. In E-Science-Tage 2019: Data to Knowledge (pp. 140–152). heiBOOKS. https://books.ub.uni-heidelberg.de//heibooks/catalog/book/598/chapter/8423
Kinne, J., Krüger, M., Lenz, D., Licht, G., & Winker, P. (2020). Corona-Pandemie betrifft Unternehmen unterschiedlich. Tagesaktuelle Webseiten-Analyse zur Reaktion von Unternehmen auf die Corona-Pandemie in Deutschland (Nos. 20–05; ZEW-Kurzexpertise, pp. 1–15). https://ftp.zew.de/pub/zew-docs/ZEWKurzexpertisen/ZEW_Kurzexpertise2005.pdf
Shigapov, R., Zumstein, P., Kamlah, J., Oberländer, L., Mechnich, J., & Schumm, I. (2020). bbw: Matching CSV to Wikidata via Meta-lookup. CEUR Workshop Proceedings, 2775, 17–26. http://ceur-ws.org/Vol-2775/paper2.pdf
Schikowsky, A., Hartmann, J., Heitmann, M., & Haenlein, M. (2020). Mining Iconic Brand Assets: A Unified Multi-Modal Deep Learning Framework.
Krüger, M., Kinne, J., Lenz, D., & Resch, B. (2020). The Digital Layer: How innovative firms relate on the Web. ZEW-Centre for European Economic Research Discussion Paper, 20–003, 1–13. https://www.zew.de/publikationen/the-digital-layer-how-innovative-firms-relate-on-the-web/