Marcel Hebing, Prof. Dr.
Marcel is professor of data scientist at Digital Business University of Applied Sciences (DBU), founder of Impact Distillery (mStats DS GmbH), and associate researcher at the Alexander von Humboldt Institute for Internet and Society (HIIG).
His background in computer science, sociology, and statistics brings a rare understanding of data quality issues in statistics, interpretation and machine learning scenarios.
Marcel’s work focuses on three pillars: (1) generating profound and actionable insights using statistical and machine learning methods, (2) building highly automated software infrastructures for data management and analysis, and (3) ensuring highest quality standards throughout the entire data life cycle, to offer a profound basis for social, political, and economic decision making.
Marcel’s most recent experience includes seven years of building software infrastructure for one of the world’s largest socio-economic datasets (Socio-economic Panel Study, SOEP) at the German Institute for Economic Research (DIW Berlin), Germany.
As an associate researcher at the research programme “Knowledge & Society” at the Alexander von Humboldt Institute for Internet and Society (HIIG), Marcel works on topics related to impact of science and research integrity.
Politics & law · Society & cultureWahlkompass Digitales
Click here for Wahlkompass 2021 Digital policy will be a focal point of the German federal elections in 2017. More than ever, the elections...- Science & education · Society & culture
Opening Science
It seems as though the digitalisation of research is accompanied by a revision of established research practices and an opening of the research process....
Books
Hebing, M. (2016). A Metadata-Driven Approach to Panel Data Management and Its Application in DDI on Rails: Dissertation. Bamberg: opus. Publication details
Journal articles and conference proceedings
Fecher, B., Hebing, M., Laufer, M., Pohle, J., Sofsky, F. (2023). Friend or foe? Exploring the implications of large language models on the science system. AI & Society, 38. DOI: 10.1007/s00146-023-01791-1 Publication details
Fecher, B., Hebing, M., Laufer, M., Pohle, J., & Sofsky, F. (2023). Friend or foe? Exploring the implications of large language models on the science system. AI & Soc. DOI: 10.1007/s00146-023-01791-1 Publication details
Fecher, B., & Hebing, M. (2021). How do researchers approach societal impact? PLoS ONE. DOI: 10.1371/journal.pone.0254006 Publication details
Fecher, B., Fräßdorf, M., Hebing, M., & Wagner, G. G. (2017). Replikationen, Reputation und gute wissenschaftliche Praxis. Information - Wissenschaft & Praxis, 68(3). Publication details
Linek, S. B., Fecher, B., Friesike, S., & Hebing, M. (2017). Data sharing as social dilemma: Influence of the researcher’s personality. PLoS ONE, 12(8). Publication details
Fecher, B., Friesike, S., Hebing, M., & Linek, S. (2017). A reputation economy: how individual reward considerations trump systemic arguments for open access to data. Palgrave Communications, 3. Publication details
Hebing, M., Wunderlich, L., & Ebert, J. (2017). Rethinking Academic Publications: Developing an open-source- framework for a multi-layer narrative in online publishing. xCoAx Proceedings of the conference on Computation, Communication, Aesthetics & X, 2017, 29–36. Publication details
Fecher, B., Friesike, S., & Hebing, M. (2015). What Drives Academic Data Sharing? PLOS ONE, 10(2). Publication details
Book contributions and chapters
Schmitz, A., Yanenko, O. & Hebing, M. (2012). Identifying Artificial Actors in E-Dating: A Probabilistic Segmentation Based on Interactional Pattern Analysis. (pp. 319-327) Heidelberg: Springer. Publication details
Working paper
Fecher, B. & Hebing, M. (2021). How do researchers achieve societal impact? Results of an empirical survey among researchers in Germany. SSOAR. DOI: 10.1371/journal.pone.0254006 Publication details
Fecher, B., Friesike, S., Hebing, M., Linek, S., & Sauermann, A. (2015). A Reputation Economy: Results from an Empirical Survey on Academic Data Sharing. DIW Berlin Discussion Paper, No. 1454. Publication details
Fecher, B., Friesike S. & Hebing, M. (2014). What drives academic data sharing? SOEPpapers, 655. Publication details
Fecher, B., Friesike, S., & Hebing, M. (2014). What drives academic data sharing? Working Paper Series des Rates für Sozial- und Wirtschaftsdaten, No. 236. Publication details
Hebing, M., Griese, F., Napieraj, J., Pahl, M., Stolpe, C. & Wagner, G.G. (2014). Zur Struktur von empirischen Sozial-, Verhaltens- und Wirtschaftsforschern: ein Überblick über die Ergebnisse der SOEP-Nutzerbefragungen. SOEPpapers, 708. Publication details
Wagner, G.G., Engelmann, M., Goebel, J., Griese, F., Hebing, M., Napieraj, J., Pahl, M., Stolpe, C., Wimmer, M., Eickelpasch, A., & Schupp, J. (2014). “Citizen Science” auf Basis des SOEP: Entwicklung und erste Anwendung eines Software-Tools für “Bürgerdialoge”. SOEPpapers, 666. Publication details
Barkow, I., Block, W., Greenfield, J., Gregory, A., Hebing, M., Hoyle, L., & Zenk-Möltgen, W. (2013). Generic Longitudinal Business Process Model. DDI Working Paper Series Longitudinal Best Practices, 5. DOI: 10.3886/DDILongitudinal05 Publication details
Other publications
Fecher, B., Hebing, M., Laufer, M., Pohle, J., Sofsky, F. (2023). Friend or Foe? Exploring the Implications of Large Language Models on the Science System. Humboldt Institute for Internet and Society. Publication details
Martin Schmidt & Marcel Hebing (2021). The 7 Tasks in Data Science Management – How to guide your team and improve data-driven business cases. Towards Data Science. Publication details
Fecher, B., Sokolovska, N., & Hebing, M. (2019). Teaching Impact is Key to Make Science Socially Relevant. Generation R. Publication details
Hebing, M., Ebert, J., & Schildhauer, T. (2017). Startup Ökosysteme. Eine Studie des Alexander von Humboldt Instituts für Internet und Gesellschaft. Publication details
Hebing, M., Wunderlich, L., & Ebert, J. (2017). Form follows function? Challenging the academic narrative. Digital Society Blog. Publication details
Ebert, J., Wunderlich, L., & Hebing, M. (2017). Data, Information, Interaction. A multi-layer approach in online publishing. Digital Society Blog. Publication details
Hebing, M. & Goebel, J. (2017). The SOEP Metadata Documentation System: paneldata.org. Publication details
Hebing, M. & Goebel, J. (2016). The New SOEP Metadata Documentation System: Paneldata.org. Publication details
Fecher, B., Frisike S., Hebing, M., & Linek S. (2015). Reputation instead of obligation: forging new policies to motivate academic data sharing. The Impact Blog. Publication details
Fecher, B., Frisike S., Hebing, M., Linek S., & Sauermann A. (2015). Academia is a reputation economy — data-sharing policies should take incentives into account. The Impact Blog. Publication details
Goebel, J. & Hebing, M. (2015). The New SOEP Metadata Portal. Publication details
Lectures and presentations
Create Impact with Data - Know Your Audience and Communicate WellGOR 2021. German Society for Online Research. Online, Online, Germany: 08.09.2021 Further information
Marcel Hebing, Larissa Wundelich
Rethinking Academic Publications: Developing an Open-source Framework for a Multi-layer Narrative in Online Publishing5th Conference on Computation, Communication, Aesthetics & X (xCoAx). xCoAx. Faculty of Fine Arts, University of Lisbon, Lisbon, Portugal: 06.07.2017
Marcel Hebing, Larissa Wunderlich, Julia Ebert
Vorstellung der Startup-Benchmarking GER 2020: Globale Start-up-Ökosysteme – Wo steht Deutschland?Zeit Wirtschaftsforum. Zeit. Hauptkirche St. Michaelis, Hamburg, Germany: 03.11.2016
Thomas Schildhauer, Marcel Hebing
Data Availability and Reuse – Results of An Empirical Study Among German ResearchersThe 6th Conference of the European Survey Research Association (ESRA). The organizing committee - Bart Meuleman, Annelies Blom, Eldad Davidov, Gudbjorg Andrea Jonsdottir, Nick Allum, Patrick Sturgis. University of Iceland, Reykjavik, Iceland: 13.07.2015
Benedikt Fecher, Marcel Hebing, Sascha Frisike
Organisation of events
1st Pop-Up Lab: Inclusive AI? The challenges of automated tools in HRFrom 24.08.2020 to 26.08.2020. Online, Berlin, Germany (International) Further information
Shlomi Hod, Georg von Richthofen, Daniela Dicks, Deniz Erden, Juliane Henn, Alexander Pirang, Matthias Spielkamp, Marcel Hebing, Kai Gärtner, Wolfgang Schulz, Theresa Züger
Impact School 201930.09.2019. Humboldt Institute for Internet and Society, Berlin, Germany. Co-Organised by: Impact Distillery (mStats DS GmbH), Leibniz Research Alliance Open (International) Further information
Nataliia Sokolovska, Marcel Hebing, Benedikt Fecher
Impact School 2017From 29.11.2017 to 01.12.2017. Humboldt Institut für Internet und Gesellschaft, Berlin, Germany. Co-Organised by: Marcel Hebing (International) Further information
Marcel Hebing, Benedikt Fecher
Position
Associated Researcher: Knowledge & Society
