Michael E. Rose

Michael E. Rose is a Senior Research Fellow at the Max Planck Institute for Innovation and Competition, specializing in Innovation and Entrepreneurship Research. He holds a Ph.D. from the University of Cape Town with a dissertation on "Collaboration Networks in Economic Science." His research focuses on the Economics of Science, Innovation, Academic Labor Market, Social Network Analysis, and Machine Learning.

Rose earned his Bachelor of Science in Economics and Business Administration from the University of Jena (2009-2012), followed by a Master of Science in Quantitative Economics from Kiel University (2012-2014), where he also participated in the Advanced Studies Program in International Economic Policy Research at the Kiel Institute for the World Economy. He completed his doctoral studies at the University of Cape Town (2015-2018). His academic journey includes research visits to the Deutsche Bundesbank and Georgia Institute of Technology.

His research interests center on understanding how social structures and networks influence scientific production and careers. Rose has made significant contributions to bibliometrics, academic collaboration networks, and the application of machine learning to economic analysis. His work on informal collaboration through acknowledgements has revealed patterns of gender differences and reciprocity in academic networks. He has also investigated how advisor connectedness affects student placement outcomes in the economics job market, demonstrating the importance of social networks even in markets with minimal information frictions.

Rose has received notable recognition through the University of Cape Town Murray-Jelks Scholarship for International Travel (2017-2018) and the AIFMRM PhD Dissertation Scholarship (2015-2018). His research has been published in prestigious journals including The Review of Economics and Statistics, Journal of European Consumer and Market Law, SoftwareX, and Scientometrics, with numerous forthcoming publications in 2025.

He is actively involved in supporting Ukrainian scholars through initiatives like #ScienceForUkraine, which he co-founded following Russia's invasion of Ukraine. The initiative has become a central hub connecting displaced Ukrainian researchers with support offers from institutions worldwide, recording over 2,600 support listings. Rose has also developed several open-source software tools for bibliometric analysis, including pybliometrics for Scopus data, Sprynger for Springer Nature data, and sosia for creating control groups of scientists, significantly enhancing research reproducibility and data integrity in the Science of Science field.