Projects per year
Personal profile
Biography
Klaus Ackermann is a Senior Lecturer (US Assistant Professor) in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia. His research interests are in the areas of Data Science, Machine Learning, Public Policy and Applied Econometrics.
He holds a PhD in Economics from Monash University and BSC and MSC in Business Informatics with major in Economics from the Technical University of Vienna. After his studies, he worked as a postdoctoral fellow at the Center for Data Science and Public Policy at the University of Chicago.
Klaus Ackermann is a founding member of SoDa Labs, an empirical research laboratory associated with Monash University's Department of Economics and Department of Econometrics in the Monash Business School. SoDa Labs applies new tools from data science, machine learning, and beyond to answer social science questions using alternative and big data.
Research interests
My passion is in technology, economics, data and computational approaches to get exciting insights about human behaviour. Broadly speaking, my research sits under the headline: how does technological progress affect societies and vice versa? What behavioural patterns that were disguised previously can now be researched as people reveal their choices through the use of technology? How can we use collected data to improve operational outcomes of not for profit organizations by using Machine Learning ? There are social issues that need to be addressed on an individual level, but I believe it is possible to impact the world on an aggregate level by using data.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Collaborations and top research areas from the last five years
-
Evaluating the NSW Energy Savings Scheme (ESS) and Peak Demand Reduction Scheme (PDRS)
Ackermann, K. (Primary Chief Investigator (PCI))
1/03/25 → 1/10/25
Project: Research
-
Food Safety Monitoring Using Neural Networks
Ackermann, K. (Primary Chief Investigator (PCI)), Tommasi, D. (Chief Investigator (CI)) & Brown, C. (Chief Investigator (CI))
FAO - Food and Agriculture Organization of the United Nations (Italy)
1/09/23 → 31/07/24
Project: Research
-
The Socioeconomic Determinants of Local Print, Radio and Digitial News Media Availability
Raschky, P. (Primary Chief Investigator (PCI)), Angus, S. (Chief Investigator (CI)), Ackermann, K. (Chief Investigator (CI)) & Kreitmeir, D. (Chief Investigator (CI))
Public Interest Journalism Initiative Ltd
15/08/23 → 15/12/23
Project: Research
-
Leveraging remote, granular and consistent internet measurement for strategic insights in South-East Asia and the the South Pacific
Angus, S. (Primary Chief Investigator (PCI)), Raschky, P. (Chief Investigator (CI)) & Ackermann, K. (Chief Investigator (CI))
Department of Defence (Australia)
28/03/22 → 3/03/23
Project: Research
-
"Myanmar: When a Country Goes Dark", internet suppression as a tool of control, as part of the JN Institute's Asian Stories Project
Angus, S. (Primary Chief Investigator (PCI)), Ackermann, K. (Chief Investigator (CI)), Raschky, P. (Chief Investigator (CI)), Lim, L. (Chief Investigator (CI)) & Bergin, J. (Chief Investigator (CI))
30/08/21 → 29/11/21
Project: Research
-
Automated residual plot assessment with the R package autovi and the Shiny application autovi.web
Li, W., Cook, D., Tanaka, E., VanderPlas, S. & Ackermann, K., 2025, (Accepted/In press) In: Australian & New Zealand Journal of Statistics. 14 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Avengers assemble! When digital piracy increases box office demand
Ackermann, K., Bradley, W. A. & Cameron, J. F., Oct 2025, In: Research Policy. 54, 8, 16 p., 105266.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Internet and gambling: insights from Australia’s NBN rollout
Ackermann, K., Awaworyi Churchill, S. & Munyanyi, M. E., 2025, In: Journal of Gambling Studies. 41, p. 119-143 25 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Leveraging computer vision and visual LLMs for cost-effective and consistent street food safety assessment in Kolkata India
Chernikov, A., Ackermann, K., Brown, C. & Tommasi, D., 11 Apr 2025, Proceedings of the AAAI Conference on Artificial Intelligence. Walsh, T., Shah, J. & Kolter, Z. (eds.). Washington DC USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 27914-27921 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 27).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review
Open Access -
Estimating the relationship between ethnic inequality, conflict and voter turnout in Africa using geocoded data
Ackermann, K., Awaworyi Churchill, S. & Smyth, R., Aug 2024, In: World Development. 180, 10 p., 106644.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile5 Citations (Scopus)
Prizes
-
Australian Business Deans Council (ABDC) Award for Innovation and Excellence in Research
Angus, S. (Recipient), Ackermann, K. (Recipient) & Raschky, P. (Recipient), 11 Nov 2022
Prize: Prize (including medals and awards)