Projects per year
Personal profile
Biography
Klaus Ackermann is a 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
Projects
- 5 Finished
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"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., Ackermann, K., Raschky, P., Lim, L. & Bergin, J.
30/08/21 → 29/11/21
Project: Research
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The Expansion of the Internet and Economic Growth Worldwide - A Spatial RD Design
Raschky, P., Ackermann, K. & Angus, S.
7/08/20 → 31/12/21
Project: Research
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A new, high spatial-resolution, dataset on internet use in Australia
Ackermann, K., Angus, S. & Raschky, P.
1/09/13 → 30/06/15
Project: Research
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Broadband internet and cognitive functioning
Ackermann, K., Awaworyi Churchill, S. & Smyth, R., 2023, (Accepted/In press) In: Economic Record. 28 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Ensembled deep learning for the classification of human sperm head morphology
Spencer, L., Fernando, J., Akbaridoust, F., Ackermann, K. & Nosrati, R., Oct 2022, In: Advanced Intelligent Systems. 4, 10, 10 p., 2200111.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Forecast evaluation for data scientists: common pitfalls and best practices
Hewamalage, H., Ackermann, K. & Bergmeir, C., 2022, (Accepted/In press) In: Data Mining and Knowledge Discovery. 45 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access5 Citations (Scopus) -
Probabilistic causal effect estimation with global neural network forecasting models
Grecov, P., Prasanna, A. N., Ackermann, K., Campbell, S., Scott, D. A., Lubman, D. I. & Bergmeir, C., 19 Jul 2022, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. 15 p.Research output: Contribution to journal › Article › Research › peer-review
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Causal inference using global forecasting models for counterfactual prediction
Grecov, P., Bandara, K., Bergmeir, C., Ackermann, K., Campbell, S. C., Scott, D. & Lubman, D. I., 2021, Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part II. Karlapalem, K., Cheng, H., Ramakrishnan, N., Agrawal, R. K., Reddy, P. K., Srivastava, J. & Chakraborty, T. (eds.). 1st ed. Cham Switzerland: Springer, Vol. 2. p. 282-294 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Prizes
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Australian Business Deans Council (ABDC) Award for Innovation and Excellence in Research
Angus, Simon (Recipient), Ackermann, Klaus (Recipient) & Raschky, Paul (Recipient), 11 Nov 2022
Prize: Prize (including medals and awards)