Rate My Professor Klaus Ackermann

Klaus Ackermann serves as an Associate Professor in the Department of Econometrics and Business Statistics within Monash Business School at Monash University in Melbourne, Australia. He earned his PhD in Economics from Monash University, along with BSc and MSc degrees in Business Informatics majoring in Economics from the Technical University of Vienna. After completing his doctoral studies, Ackermann held a postdoctoral fellowship at the Center for Data Science and Public Policy at the University of Chicago. He is a founding member of SoDa Labs, an empirical research laboratory affiliated with the Departments of Economics and Econometrics and Business Statistics in Monash Business School, which leverages data science, machine learning, and alternative big data to address social science questions. Additionally, he co-founded KASPR Datahaus Pty. Ltd., where he serves as a director, and the IP Observatory.

Ackermann's research specializes in Data Science, Machine Learning, Public Policy, and Applied Econometrics, with a focus on the interplay between technological progress and societal impacts, behavioral insights from technology use, and machine learning applications for non-profit operational improvements. Notable publications include "Avengers assemble! When digital piracy increases box office demand" with W. A. Bradley and J. F. Cameron (Research Policy, 2025); "Internet and gambling: insights from Australia’s NBN rollout" with S. Awaworyi Churchill and M. E. Munyanyi (Journal of Gambling Studies, 2025); "Broadband internet and cognitive functioning" with S. Awaworyi Churchill and R. Smyth (Economic Record, 2023, recipient of the journal's Best Paper Award for 2023); "Estimating the relationship between ethnic inequality, conflict and voter turnout in Africa using geocoded data" with S. Awaworyi Churchill and R. Smyth (World Development, 2024); and "Deploying machine learning models for public policy: A framework" (Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018). In recognition of his contributions, he shared the Australian Business Deans Council Award for Innovation and Excellence in Research in 2022 with Simon Angus and Paul Raschky.