Welcome! I’m an innovation economist and software developer. In my work, I apply natural language processing, times series analysis, and deep learning on data related to innovation and entrepreneurship. For instance, we ask: How can we predict startup success, venture capital investment trends, and the development of the creative economy, based on crowdfunding data? Or more broadly: How can we structure and explore unstructured data?
I am a researcher at the Technology Entrepreneurship Group at RWTH Aachen University (Christian Hopp) and a recent research fellow at the Macro Connections Group at MIT Media Lab (César A. Hidalgo). With Michael Schober and Oleksandr Zastupailo, I co-created MovieGalaxies, the largest database on character interaction networks within films.
Kaminski, J., Jiang, Y., Hopp, C., Piller, F. (2017). 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. ACM.
Paper accepted for the AMA 2018
, New Orleans, USA: "The Influence Of Product Maturity And Innovativeness On Consumers’ Perceived Uncertainty In Reward-Based Crowdfunding" (Rose, Wentzel, Hopp, Kaminski).
Presenting our paper at the ACM CHI Conference on Human Factors in Computing Systems CHI 2017
Ongoing machine learning research is now supported by the Google Cloud Early Access Program.
Presenting our research at Kickstarter in New York. Thank you for the invitation! Credits go to Oleksandr Zastupailo for the development of the InnovationSpace website (upcoming).
Traveling across the United States with the Marshall Memorial Fellows
of the German Marshall Fund of the United States.
Our group is pleased to participate in the project "Innovation Finance - Financing Innovations of Non-University Research Labs", supported by the German Federal Ministry of Education and Research.
César A. Hidalgo releases "In My Shoes". "Every future scientist should watch this!" Albert-Laszlo Barabasi. Watch Series