Research

In my work, I blend economic questions with computer science tools. My current research interest is machine learning with practical impact. Within machine learning, my recent focus is on causal inferences and time series analysis. More generally, I am interested in developing tools that are able to visualize and predict complex systems.

Publications

Kaminski, J., Kapoor, S., Hopp, C. & Piller, F. (2017, July). Deep Learning User Entrepreneurship - Analyzing Text, Audio and Video Content in Crowdfunding Campaigns. Open and User Innovation Conference, University of Innsbruck, Innsbruck, July 10 2017. Poster (forthcoming)

Kaminski, J., Jiang, Y., Hopp, C. & Piller, F. (2017, May). Do User Entrepreneurs Speak Different?: Applying Natural Language Processing to Crowdfunding Videos. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2683-2689). ACM. Paper

Kaminski, K., Schober, M., Albaladejo, R., Zastupailo, O., Hidalgo, C. (2016). Moviegalaxies: A Network Visualization Engine and Teaching Tool, International Conference on Network Science 2016, Seoul, June 3 2016. Slides

Kaminski, K., Schober, M. (2016). Teaching Social Network Science with Movies, International Conference on Network Science 2016, Satellite: NetSciEd 2016, Seoul, May 31 2016. Slides

Kaminski, J., Hopp, C. (2017, May). Nowcasting Crowdfunding Investments. Crowdinvesting Symposium 2016 “Financial Decision Making and the Internet”, Max Planck Institute for Innovation and Competition, Munich, November 4 2016. Slides

Kaminski, J., Gloor, P. (2014). Nowcasting the Bitcoin Market with Twitter Signals, Collective Intelligence 2014, Massachusetts Institute of Technology, Cambridge, June 10 2014. arXiv

Kaminski, J., Marticke, L., Gloor, P. (2012). YouMeIBD - An Interactive Online Matchmaker for Patients of IBD/Crohn’s Disease, Stanford Medicine X Proceedings 2012, Stanford University, Palo Alto, September 30 2012. Best Practice Track Paper. Abstract

Kaminski, K., Schober, M., Albaladejo, R., Zastupailo, O., Hidalgo, C. (2012). Moviegalaxies.com - Social Networks in Movies. Website

Kaminski, J., Schober, M. (2011). Social Network Structures in Movies, COINs 2011 Conference, Institute HyperWerk for Postindustrial Design, Basel, September 10 2011. Paper


Working Papers

Kaminski, J., Hopp, C., Tykvova, T. (2016). New Technology Assessment in Entrepreneurial Financing - Can Crowdfunding Predict Venture Capital Investments?, Working Paper. arXiv

Hopp, C., Kaminski, J., Piller, F. (2016). Are Lead Users More Successful Crowdfunders?. Open and User Innovation Conference, Harvard University, August 1 2016. Slides


Book Chapters

Kaminski, J. (2016). From Community Analysis to Prototype: Creating an Online Matchmaker for Inflammatory Bowel Disease Patients. In Boundaryless Hospital (pp. 295-320). Springer Berlin Heidelberg. Book

Kaminski, J., Schober, M., Zastupailo, O. (2017). Moviegalaxies: A Tool for Learning Network Science with Films. In Network Science In Education - Tools and Techniques for Transforming Teaching and Learning, Springer Publishing (forthcoming).


Research Projects

Applied Computational Economics: Identifying “User Innovation” Through Machine Learning
Supported by the RWTH Project House ICT, Google Cloud Early Access Program
with Prof. Dr. Christian Hopp, Prof. Dr. Frank Piller

Innovation Finance - Financing Scientific Spin-Offs by Non-University Research Labs
Supported by the German Federal Ministry of Education and Research (BMBF)
In collaboration with Fraunhofer (IMW), German Aerospace Center (DLR), Cologne University
with Prof. Dr. Christian Hopp, Prof. Dr. Frank Piller

Innovation Space - Analyzing and Visualizing Crowdfunding Investments
with Oleksandr Zastupailo, Prof. Dr. César A. Hidalgo, Prof. Dr. Christian Hopp


Teaching Assistance

Contemporary Topics in Economics II, Summer 2017
RWTH Aachen University, Faculty of Economic Sciences, Technology, Innovation, Marketing & Entrepreneurship (TIME)
Bachelor elective, open to Business Economics and Engineering students
Bachelor and Master elective
With Prof. Dr. Christian Hopp Ongoing

Innovation Finance with Crowdfunding, Winter 2015/2016
RWTH Aachen University, Faculty of Economic Sciences, Technology, Innovation, Marketing & Entrepreneurship (TIME)
Bachelor and Master elective, open to Business Economics and Engineering students
With Prof. Dr. Christian Hopp and Prof. Dr. Frank Piller Top-rated

Computational Economics, Summer 2016
Witten/Herdecke University, Faculty of Economic Sciences
Bachelor and Master elective, open to Business Economics students
With Prof. Dr. Birger Priddat Top-rated

Collaborative Innovation Networks, Winter 2011/2012
Massachusetts Institute of Technology, MIT Sloan School of Management
MBA elective
With Prof. Dr. Peter Gloor Top-rated


For collaboration, research or internship inquires, please send an email. Thank you.