Presentations and conferences

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How to incorporate AI interviewers in contemporary web surveys?

Höhne, J. K., Broneske, D., Neuert, C., & Claaßen, J. (2024, Januar).
How to incorporate AI interviewers in contemporary web surveys? Vortrag im Rahmen des Events 'Going online: using video interviewing in survey research', The Royal Statistical Society, London, UK.

Laughing out loud – Exploring AI-generated and human-generated humor.

Avetisyan, H., Safikhani, P., & Broneske, D. (2023, Dezember).
Laughing out loud – Exploring AI-generated and human-generated humor. Vortrag auf der Konferenz International Conference on NLP & Artificial Intelligence Techniques (NLAI 2023), Computer Science & Information Technology (CS & IT), Sydney, Australia.

API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey.

Höhne, J. K., & Lenzner, T. (2023, Dezember).
API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey. Vortrag im Rahmen des Institutskolloquiums, Institut für Soziologie, Leibniz Universität Hannover, Hannover, Deutschland.

Anomaly detection algorithms: Comparative analysis and explainability perspectives.

Darab, S., Allipilli, H., Ghani, S., Changaramkulath, H., Koneru, S., Broneske, D., & Saake, G. (2023, Dezember).
Anomaly detection algorithms: Comparative analysis and explainability perspectives. Vortrag auf der Konferenz The 21st Australasian Data Science and Machine Learning Conference (AUSDM23), Auckland, New Zealand.

WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage.

Shahania, S., Spiliopoulou, M., & Broneske, D. (2023, Dezember).
WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage. Vortrag auf der Konferenz The 25th International Conference on Information Integration and Web Intelligence (iiWAS 2023) and The 21st International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2023), Denpasar, Bali, Indonesien.

Research Data Centre for Higher Education Research and Science Studies (FDZ DZHW): Data Sharing and the RDC’s range of data for your research.

Buck, D. (2023, Dezember).
Research Data Centre for Higher Education Research and Science Studies (FDZ DZHW): Data Sharing and the RDC’s range of data for your research. Vortrag im Rahmen der Online-Veranstaltung Quantitative Decision Making in Economics & Management, Johannes Gutenberg-Universität, Mainz.

Die Erfassung von Publikationen aus der Datennutzung in Forschungsdatenzentren.

Daniel, A., Jakowatz, S., Jung, N., Kleine, L., Kocaj, A., ... & Schuster, A. (2023, November).
Die Erfassung von Publikationen aus der Datennutzung in Forschungsdatenzentren. Vortrag auf dem Workshop Monitoring von Forschungsdaten-Publikationen: Stand und Perspektive, Lehrstuhl Information Management am Institut für Bibliotheks- und Informationswissenschaft (IBI) der Humboldt-Universität zu Berlin, Helmholtz Open Science Office der Helmholtz-Gemeinschaft und das Open-Access-Büro Berlin.

Lizenzierung von Metadaten.

Daniel, A. (2023, November).
Lizenzierung von Metadaten. Vortrag im Verbund Forschungsdaten Bildung.

Langzeitarchivierung (LZA) in Forschungsdatenzentren (FDZ).

Hoffstätter, U., Buck, D., Beck, K., & Siegers, P. (2023, November).
Workshop Langzeitarchivierung (LZA) in Forschungsdatenzentren (FDZ).

Typing or speaking: Comparing text and voice answers to open questions on sensitive topics in smartphone surveys.

Höhne, J. K., & Gavras, K. (2023, November).
Typing or speaking: Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Vortrag im Rahmen der Business School, Universidad San Francisco de Quito, Quito, Ecuador.

Large language models and low-resource languages: An examination of Armenian NLP.

Avetisyan, H. (2023, November).
Large language models and low-resource languages: An examination of Armenian NLP. Vortrag auf der Konferenz The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023), Bali, Indonesien.

API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey.

Höhne, J. K., & Lenzner, T. (2023, Oktober).
API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey. Vortrag auf der Konferenz Big Data Meets Survey Science (BigSurv23), Quito, Ecuador.

Innovating web probing: comparing text and voice answers to open probing questions in a smartphone survey.

Lenzner, T., Höhne, J. K., & Gavras, K. (2023, Oktober).
Innovating web probing: comparing text and voice answers to open probing questions in a smartphone survey. Vortrag auf der Konferenz Big Data Meets Survey Science (BigSurv23), Quito, Ecuador.

Mapping the mystery: Exploring the landscape of German doctoral contexts.

Oestreich, T. (2023, Oktober).
Mapping the mystery: Exploring the landscape of German doctoral contexts. Vortrag auf der Konferenz 5th Forum „Higher Education and the Labour Market“ (HELM 2023), Institut für Arbeitsmarkt- und Berufsforschung und Deutsches Zentrum für Hochschul- und Wissenschaftsforschung, Nürnberg.

Application of language models in research and their explainability.

Avetisyan, H. (2023, Oktober).
Application of language models in research and their explainability. Poster auf der Konferenz The Future of Higher Education and Science – A Turn of the Times?, Deutsches Zentrum für Hochschul- und Wissenschaftsforschung (DZHW), Leibniz Forschungszentrum Wissenschaft und Gesellschaft (LCSS), Hannover, Deutschland.

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