DECISION SCIENCES · BEHAVIORAL ECONOMICS · DATA SCIENCE
Better Decisions through Science
Johannes U. Siebert – Professor of Decision Sciences, Behavioural Economics and Supply Chain Management at MCI | The Entrepreneurial School® in Innsbruck.
Good decisions do not emerge from data and models alone, but from clear objectives and a structured process. This is exactly what I work on in research, education, and consulting.
Understanding and improving decisions
I study how individuals and organisations make complex decisions—and how decision quality can be systematically improved using methods from decision analysis, behavioural economics, data science, and artificial intelligence.
Developing decision-making competence systematically
I develop evidence-based approaches that help students and professionals clarify objectives, identify alternatives, and structure, evaluate, and make decisions with confidence.
Decision support for organizations
I support organizations in complex decision and prioritization problems—from portfolio and resource allocation to strategic decisions under uncertainty—using transparent, scientifically grounded decision models.
Selected work
Award-Winning Research at the Intersection of Data Science and Decision Sciences
Research on data- and AI-supported decision making, multicriteria methods, and decisions under uncertainty. Johannes Siebert received the Richard Price Award from the International Academy of Information Technology and Quantitative Management (IAITQM) and was elected a Fellow of the Academy. The award recognizes outstanding contributions to the theory, methodology, and practice of data science.
Systematically Strengthening Decision-Making Competence among Young People
Development and delivery of evidence-based approaches that help students structure decisions and make more deliberate and informed choices. This work is internationally connected and has been recognized, among other things, through membership in the Advisory Council of the Alliance for Decision Education, whose members have included Richard Thaler and the late Daniel Kahneman.
Supporting Strategic Portfolio Decisions in Pharmaceutical Research
Development of a decision model based on Value-Focused Thinking and Multi-Attribute Utility Theory for the consistent evaluation of early-stage pharmaceutical projects across different therapeutic areas. Together with decision makers, objectives were structured, evaluation scales developed, and trade-offs made transparent to support robust portfolio decisions.
Latest posts
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What remains when I am not in the room
A course that depends on one person ends with that person. Why the institutional anchoring pleases me more than the course itself — and…
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Academic success begins before the first lecture
When students switch subjects or leave university, we tend to look for the causes inside the degree programme. That falls short: many of these…
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Decision-making competence can be taught – and tested
Why does higher education take it for granted that students know how to make decisions – and yet so rarely teach it? A teaching…