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Welcome! I’m an Assistant Professor in Entrepreneurship and Innovation at Maastricht University. My recent research interests include crowdfunding, causal inference in business strategy, and applied machine learning. Besides my research, I enjoy teaching entrepreneurship courses or empirical methods to Bachelor, Master, MBA, and PhD students. Most recently, I co-launched causalscience.org and the Causal Data Science Meeting with colleagues at Maastricht University and Copenhagen Business School.
I obtained my PhD in 2019 from RWTH Aachen University. During my graduate studies and PhD, I was a visiting researcher at the MIT Center for Collective Intelligence at the Sloan School of Management and Collective Learning Group at the MIT Media Lab. I studied at Witten/Herdecke University, Germany, and was a visiting student at the Massachusetts Institute of Technology, USA. I am a co-founder of the startup Moviegalaxies, providing open-source network data on Harvard DataVerse. In 2014-2015, I worked in a research project on data analytics in soccer for a Bundesliga club, specializing on complexity in passing networks.
Together with co-authors, I have published on using machine leaning to predict outcomes in crowdfunding with text, speech, and video information, on predicting venture capital investments with crowdfunding data, on experimental studies of psychological distance in product crowdfunding, and on topic models of disruptive innovation research.
Digital Entrepreneurship (EBC4266) - Cross-faculty, Ongoing.
Technology Entrepreneurship (EBC2144) - Cross-faculty. Avg. tutor grade 9.6 / 10.0.
Commercialization of Science and Technology (INT1005) - Maastricht Science Programme. Avg. tutor grade 9.6 / 10.0.
Data Analytics in Practice (EBC4135) - Research Master in Business (2019/2020).
Gloria Barczak, Christian Hopp, Jermain Kaminski, Frank Piller and Gernot Pruschak. “How open is innovation research? – An empirical analysis of data sharing among innovation scholars.” Industry & Innovation (2021, Online First).
Stefan Rose, Daniel Wentzel, Christian Hopp, and Jermain Kaminski. “Launching for success: The effects of psychological distance and mental simulation on funding decisions and crowdfunding performance.” Journal of Business Venturing (2020): In Press. Open Access at SocArXiv.
Jermain Kaminski and Christian Hopp. “Predicting outcomes in crowdfunding campaigns with textual, visual, and linguistic signals.” Small Business Economics 55 (2019: 627–649).
Christian Hopp, Jermain Kaminski, and Frank Piller. “Accentuating lead user entrepreneur characteristics in crowdfunding campaigns – The role of personal affection and the capitalization of positive events.” Journal of Business Venturing Insights 11 (2019: e00106).
Jermain Kaminski, Christian Hopp, and Tereza Tykvová. “New technology assessment in entrepreneurial financing – Does crowdfunding predict venture capital investments?” Technological Forecasting and Social Change 139 (2019: 287-302).
Jermain Kaminski, Christian Hopp, and Christian Lukas. “Who benefits from the wisdom of the crowd in crowdfunding? Assessing the benefits of user-generated and mass personal electronic word of mouth in computer-mediated financing.” Journal of Business Economics 88(9) (2018: 1133-1162).
Christian Hopp, David Antons, Jermain Kaminski, and Oliver Salge. “What 40 years of research reveals about the difference between disruptive and radical innovation.” Harvard Business Review (2018).
Christian Hopp, David Antons, Jermain Kaminski, Torsten Oliver Salge. “Disruptive innovation: Conceptual foundations, empirical evidence, and research opportunities in the digital age.” Journal of Product Innovation Management 35(3) (2018: 446-457).
Christian Hopp, David Antons, Jermain Kaminski, Torsten Oliver Salge. “Perspective: The topic landscape of disruption research — A call for consolidation, reconciliation, and generalization.” Journal of Product Innovation Management 35(3) (2018: 458-487).
Jermain Kaminski, Yibin Jiang, Frank Piller, and Christian Hopp. “Do user entrepreneurs speak different? Applying natural language processing to crowdfunding videos.” Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (2017): 2683-2689.
Jermain Kaminski. “Nowcasting the bitcoin market with Twitter signals.” Proceedings of the Collective Intelligence Conference (2014: arXiv:1406.7577).