Short-CV

Ulf-Dietrich Reips is Professor of Psychology at the University of Konstanz. He is actively involved in the Initiative of the Centre for Human | Data | Society since the beginning and a member of its Extended Leadership Team since 2022. He obtained a Master’s degree of Psychology in 1992 at the Sonoma State University (USA), in 1997 he received a doctorate at the Department of Psychology of the University of Tübingen (dissertation: Acquisition of causal knowledge: Learning direction and diagnosticity of effects). In 2004 he obtained the venia legendi for Psychology, Faculty for the Science of Information and Cognition at the University of Tübingen. He worked 12 years at University of Zurich and received a lifetime research professorship by the Basque Science Foundation at Universidad de Deusto, which he held for four years before he arrived in Konstanz in 2013. Ulf-Dietrich Reips is Founder of the German Society for Online Research (DGOF), part of the Core Team of the SFB initiative “Serious Gaming”, he is Principal Investigator of the interdisciplinary MSc. Program in Social and Economic Data Science (SEDS) and organizing and co-teaching the biannual Summer Schools about Internet- based Data Collection and Analysis at University of Konstanz. He has continuously been part of the Human | Data | Science initiative, organizing the centre opening in April 2022 and submitting project ideas on conflicts between individual and societal level of data use, pitfalls in causal reasoning and treatment of data in human-generated Big Data and digital psychometrics. His research focuses on the methodology of data collection via the Internet, shortly after the World Wide Web was invented he pioneered conducting Internet-based experiments. He has been investigating the implications of Internet-related digitalization on research practices and possibilities of data science in the behavioural and social sciences, as well as on individuals and the society. A particular research focus is on development and validation of methods and measurement for research in a digital world. For online experiments and other data collection and analysis, he has developed and provided methods and tools that automatically implement appropriate techniques and best practices that reflect the state-of-the-art, together with his team. He works strongly internationally and collaboratively and will bring long established networks of expertise to the initiative.

Research-related publications

• Reips, U.-D., & Shevchenko, Y. (2023). How to conduct online experiments. In: SAGE Research Methods: Doing Research Online. Sage.
• Psychological Science Accelerator Self-Determination Theory Collaboration (2022). A global experiment on motivating social distancing during the COVID-19 pandemic. Proceedings of the National Academy of Sciences (PNAS), 119 (22), e2111091119. doi.org/10.1073/pnas.2111091119
• Kuhlmann, T., Garaizar, P., & Reips, U.-D. (2021). Smartphone sensor accuracy varies from device to device: The case of spatial orientation. Behavior Research Methods, 53, 22-33. https://doi.org/10.3758/s13428-020-01404-5
• Reips, U.-D. (2021). Web-based research in psychology: A review. Zeitschrift für Psychologie, 229 (4), 198–213. doi.org/10.1027/2151-2604/a000475
• Shevchenko, Y., Kuhlmann, T., & Reips, U.-D. (2021). Samply: A user-friendly smartphone app and web-based means of scheduling and sending mobile notifications for experience-sampling research. Behavior Research Methods, 53, 1710–1730. doi.org/10.3758/s13428-020-01527-9
• Cipora, K., Soltanlou, M., Reips, U.-D., & Nuerk, H.-C. (2019). The SNARC and MARC effects measured online: Large-scale assessment methods in flexible cognitive effects. Behavior Research Methods, 51, 1676–1692. doi.org/10.3758/s13428-019-01213-5
• Stieger, S., & Reips, U.-D. (2019). Well-being, smartphone sensors, and data from open-access databases: A mobile experience sampling study. Field Methods, 31 (3), 277-291. doi.org/10.1177/1525822X18824281
• Younes, N., & Reips, U.-D. (2019). Guidelines for improving the reliability of Google Ngram studies: Evidence from religious terms. PLoS ONE, 14 (3), e0213554. doi.org/10.1371/journal.pone.0213554
• Götz, F. M., Stieger, S., & Reips, U.-D. (2017). Users of the main smartphone operating systems (iOS, Android) differ only little in personality. PLoS One, 12 (5), e0176921. doi.org/10.1371/journal.pone.0176921
• Kuhlmann, T., Dantlgraber, M., & Reips, U.-D. (2017). Investigating measurement equivalence of Visual Analogue Scales and Likert-type scales in Internet-based personality questionnaires. Behavior Research Methods, 49, 2173–2181. doi.org/10.3758/s13428-016-0850-x
• Garaizar, P. & Reips, U.-D. (2014). Build your own social network laboratory with Social Lab: A tool for research in social media. Behavior Research Methods, 46, 430-438. doi.org/10.3758/s13428-013-0385-3
• Snijders, C., Matzat, U., & Reips, U.-D. (2012). ‘BigData’: Big gaps of knowledge in the field of Internet science. International Journal of Internet Science, 7, 1-5.
• Reips, U.-D., & Birnbaum, M. H. (2011). Behavioral research and data collection via the Internet. In K.-P. L. Vu and R. W. Proctor (Eds.), The handbook of human factors in Web design. 2nd ed., pp. 563-585. Mahwah, New Jersey: Erlbaum.
• Reips, U.-D., & Garaizar, P. (2011). Mining Twitter: Microblogging as a source for psychological wisdom of the crowds. Behavior Research Methods, 43, 635-642.
• Dillman, D. A., Reips, U.-D., & Matzat, U. (2010). Advice in surveying the general public over the Internet. International Journal of Internet Science, 5, 1-4.
• Joinson, A.N., Reips, U.-D., Buchanan, T., & Paine Schofield, C. (2010). Privacy, trust, and self-disclosure online. Human-Computer Interaction, 25, 1-24. doi.org/10.1080/07370020903586662
• Reips, U.-D., & Funke, F. (2008). Interval level measurement with visual analogue scales in Internet-based research: VAS Generator. Behavior Research Methods, 40, 699–704.
• Buchanan, T., Paine, C., Joinson, A., & Reips, U.-D. (2007). Development of measures of online privacy concern and protection for use on the Internet. Journal of the American Society for Information Science and Technology, 58, 157-165.
• Joinson, A. N., Woodley, A., & Reips, U.-D. (2007). Personalization, authentication and self-disclosure in self-administered Internet surveys. Computers in Human Behavior, 23 (1), 275-285. doi.org/10.1016/j.chb.2004.10.012
• Reips, U.-D. (2002). Standards for Internet-based experimenting. Experimental Psychology, 49, 243-256. doi.org/10.1026/1618-3169.49.4.243
• Reips, U.-D. (2000). The Web Experiment Method: Advantages, disadvantages, and solutions. In M. H. Birnbaum (Ed.), Psychological experiments on the Internet, pp. 89-118. San Diego, CA: Academic Press. doi.org/10.5167/uzh-19760

Editorships

• Reips, U.-D., & Buchanan, T. (Eds.) (2021). Web-Based Research in Psychology, a topical Open Access issue. Zeitschrift für Psychologie 229 (4).
• Oiarzabal, P. J., & Reips, U.-D. (Eds.) (2012). Migration and the Internet: Social networking and diasporas. Journal of Ethnic and Migration Studies, 38 (9).
• Joinson, A. N., McKenna, K., Postmes, T., & Reips, U.-D. (Eds.) (2007). The Oxford Handbook of Internet Psychology. Oxford University Press.
• Sassenberg, K., Postmes, T., Boos, M., & Reips, U.-D. (Eds.). (2003). Studying the Internet - a challenge for modern psychology. Swiss Journal of Psychology, 62 (2).
• Reips, U.-D., & Musch, J. (Eds.). (2002). Internet-based psychological experimenting. Experimental Psychology, 49.
• Batinic, B., Reips, U.-D. & Bosnjak, M. (Eds.). (2002). Online Social Sciences. Hogrefe & Huber.
• Reips,U.-D., & Bosnjak, M. (Eds.).(2001). Dimensions of Internet Science. Pabst
• Reips, U.-D., Batinic, B., Bandilla, W., Bosnjak, M., Gräf, L., Moser, K., & Werner, A. (Eds.). (1999). Current Internet science - trends, techniques, results. Aktuelle Online-Forschung - Trends, Techniken, Ergebnisse. Proceedings of German Online Research conference. http://gor.de/gor99/tband99