Nach Vereinbarung

• Professur Künstliche Intelligenz in der Mensch-Maschine-Interaktion
• Co-Studiengangsleiter Angewandte KI (vorauss. ab Wintersemester 25/26)
• Digital Learning Campus (DLC): wissenschaftliche Fachleitung "Digitalisierung & KI"
• Mitglied im WinHR
• Ersatzvertreter der Professor:innenschaft des Diversitätsauschusses (2024 bis 2026)

Studien- und Schulabschlüsse

• Dr. rer. nat. in Informatik, Universität Hamburg (2022)
• M.Sc. in Wirtschaftsinformatik/IT-Management, Nordakademie GS (2015-2017)
• B.Sc. in Wirtschaftsinformatik, FH Nordakademie (2011-2015)
• Abitur, Bismarckschule Elmshorn (2008-2011)
• Certificate of Studies, C.D. Hylton High School, VA (USA) (2007-2008)

Berufserfahrung

• Gesellschafter, effective WEBWORK GmbH (2021)
• Software-Entwickler & IT-Berater, effective WEBWORK GmbH (2018)
• Software-Entwickler & IT-Berater, PPI AG (2015-2018)
• Dualstudierender, PPI AG (2011-2015)

Akademische Tätigkeiten

• GermEval20 Shared Task Cognitive Style and Motivation from Text, SWISSTEXT and 16th KONVENS, Zürich, Schweiz (2020)
• KI-Trainer: Künstliche Intelligenz im Personalbereich, Mittelstand 4.0 Kompetenzzentrum Usability, Germany. Workshop-Reihe gefördert vom Bundesministerium für Wirtschaft und Klimaschutz

Publikationen

• Olivia K.Harrison, KelisTosala(Ngāti Manawa, Tūhoe, Ngāti Maniapoto, Te Rarawa; Ngāti Awa), Char’lee A. D.Jones(Ngāi Takoto, Ngāti Kahu, Ngāti Kurī, Te Aupōuri), RebekahKennedy, Alireza F.Nia, Gonzalo D.Maso Talou, CassandraDawson, MartinSellbom, EstherWilling(Ngāti Toarangatira, Ngāti Koata, Ngā Ruahine), EllaMcLeod, DirkJohannßen, MerataKawharu(Ngāti Whātua, Ngāpuhi), StephanieSchoss, AmandaClifford(Waitaha, Kāi Tahu, Kāti Māmoe), Journal of the Royal Society of New Zealand2026, 56, e70032. https://doi.org/10.1002/snz2.70032 
• RaPID-4 at LREC, Marseille, France. Johannßen, D., Biemann, C., Scheffer, D. (2022): Classification of German Jungian Extraversion and Introversion Texts with Assessment of Changes during the COVID-19 Pandemic./li>
• PEOPLES at NAACL, Barcelona, Spain. Johannßen, D., Biemann, C. (2020): Social Media Unrest during the COVID-19 Pandemic: Neural Implicit Motive Pattern Recognition as psychometric Signs of Sever Crises.
• KONVENS20, Zurich, Switzerland. Johannßen, D., Biemann C., and Scheffer, D. (2020): Ethical considerations of the GermEval20 Task 1. IQ assessment with natural language processing: Forbidden research or gain of knowledge? In Proceedings of the GermEval 2020 Task 1 Workshop in conjunction with the 5th SwissText & 16th KONVENS Joint Conference 2020, pages 30–44.
• GermEval20 at KONVENS20, Zurich, Switzerland. Johannßen, D., Biemann, C., Remus S., Baumann T., and Scheffer, D. (2020): GermEval 2020 Task 1 on the Classification and Regression of Cognitive and Motivational style from Text. In Proceedings of the 5th SwissText & 16th KONVENS Joint Conference 2020, pages 1–10.
• KONVENS19, Erlangen, Germany. Johannßen, D., Biemann, C. (2019): Neural classification with attention assessment of the implicit-association test OMT and prediction of subsequent academic success.
• CLPsych19, Minneapolis, MN, USA. Johannßen, D., Biemann, C. and Scheffer, D. (2019): Reviving a psychometric measure: Classification and prediction of the Operant Motive Test. August 2018 Survey Paper, CD-MAKE18, Hamburg, Germany.
• CD-MAKE18, Hamburg, Germany. Johannßen, D. Biemann, C. (2018): Between The Lines: Machine Learning for Prediction of Psychological Traits - a Survey.

Invited Talks

• September 2025. KI-Forum 2025, Hochschule Hannover, Hannover, Germany. Keynote: Angewandte KI lehren.
• Februar 2025. Symposium Deep Learning and Human Computer Interaction, Hochschule Flensburg, Flensburg, Germany. Keynote: NLPsych - Explainability and Interpretability of NLP for Psychological Diagnostical Metrics.
• November 2023. Research Colloquium Psychological Methodology. Christian-Albrechts-Universität zu Kiel, Germany. NLPsych: Computer-aided Psychometrics with Natural Language Processing.
• Mai 2022. Forum Personal, FH Westküste, Heide, Germany. Künstliche Intelligenz in der Mensch-Maschinen-Interaktion: Von der Eignungs- zur Passungsdiagnostik.
• Juni 2020. Conjunction with the 5th SwissText & 16th KONVENS Joint Conference 2020, ETH Zurich, Switzerland. NLP & Society Session on the ethical aspects of the GermEval20 Task1.
• Januar 2020. Institute for Psychology and employment science, TU Berlin, Deutschland. Machine learning and artificial intelligence for psychometrical textual analysis in the area of aptitude diagnostics.
• Oktober 2019. Institute for Computer Science, ICS, Universität St. Gallen, Schweiz. Current research advancements of NLPsych, the CAPTA Institut, and future prospects
• Juli 2019. Digital Humanities, Universität, Hamburg. Language technological approaches for automatic prediction of psychometrics and psychological diseases.
• Dezember 2018. Ergonomics and Digitalization in Market and Industry, FH Westküste, Heide. Applied NLP for prediction of psychological traits and machine learning.

Im Fokus der Forschung steht die menschliche Interaktion mit Systemen der natürlichen Sprachverarbeitung im Speziellen und der künstlichen Intelligenz grundlegend. Dabei liegt ein besonderer Fokus auf textuellen psychologisch-diagnostischen Verfahren.