Research & Decision Science
Research built into the product
Forecasting, optimization and applied AI for real decisions under real constraints.





- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Scientific foundations
From research result to product behavior
Probabilistic forecasts, coherent hierarchies, constraint-aware recommendations and governed human intervention.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local forecasts do not aggregate coherently across the enterprise | Reconciled forecasts across every level |
| Probabilistic forecasting | Point forecasts hide risk | Full predictive distributions, intervals and scenario ranges |
| Optimization | Forecasts do not tell teams what to do | Constraint-aware recommendations |
| Agentic AI | Context is trapped in emails and notes | Adaptive elicitation, semantic routing and governed context workflows |
| Human-in-the-loop AI | Automation without trust creates resistance | Belief review, governed publication and intervention lineage |
| Alignment science | Teams optimize against conflicting goals | Goals & Guardrails within Forecasting & Optimization |
Hierarchical forecasting
Local forecasts do not aggregate coherently across the enterprise
Reconciled forecasts across every level
Probabilistic forecasting
Point forecasts hide risk
Full predictive distributions, intervals and scenario ranges
Optimization
Forecasts do not tell teams what to do
Constraint-aware recommendations
Agentic AI
Context is trapped in emails and notes
Adaptive elicitation, semantic routing and governed context workflows
Human-in-the-loop AI
Automation without trust creates resistance
Belief review, governed publication and intervention lineage
Alignment science
Teams optimize against conflicting goals
Goals & Guardrails within Forecasting & Optimization
Research database
Search the indexed record by title, author, venue, category or year. Records include peer-reviewed work, preprints, books, chapters and other scholarly outputs.
1,181 results · page 9 of 99
2024
Counterfactual Predictions in Shared Markets: A Global Forecasting Approach with Deep Learning and Spillover Considerations
P Grecov, K Ackermann, C Bergmeir
Available at SSRN 4830726, 2024
Machine LearningHow Well Can Social Scientists Forecast Societal Change?
I Grossmann, C Bergmeir, P Slattery
Foresight: The International Journal of Applied Forecasting, 40-46, 2024
ForecastingImproving the Computational Efficiency of Adaptive Audits of IRV Elections
A Ek, M Blom, PB Stark, PJ Stuckey, D Vukcevic
International Joint Conference on Electronic Voting, 37-53, 2024
ResearchRapidly Computing Approximate Graph Convex Hulls via FastMap
A Li, P Stuckey, S Koenig, TKS Kumar
International Conference on Machine Learning, Optimization, and Data Science …, 2024
ResearchIdiosyncratic properties of Australian STV election counting
A Conway, M Blom, A Ek, PJ Stuckey, VJ Teague, D Vukcevic
arXiv preprint arXiv:2409.11627, 2024
ResearchTemporal Planning via Interval Logic Satisfiability for Autonomous Systems
M Ramirez, A Singh, P Stuckey, C Manzie
arXiv preprint arXiv:2406.09661, 2024
OptimizationA lightweight approach to nontermination inference using Constrained Horn Clauses
B Kafle, G Gange, P Schachte, H Søndergaard, PJ Stuckey
Software and Systems Modeling 23 (2), 319-342, 2024
Machine LearningNew Product Demand Forecasting for Beauty Retail using Seasonality
Z Namazian, PJ Stuckey, JM Betts
International Conference on Computers and Industrial Engineering (CIE) 2024 …, 2024
Machine LearningAsian Conference on Machine Learning: Preface
B Yanıkoğlu, W Buntine
Asian Conference on Machine Learning, i-ii, 2024
Machine Learning
2023
Forecast evaluation for data scientists: common pitfalls and best practices
H Hewamalage, K Ackermann, C Bergmeir
Data Mining and Knowledge Discovery 37 (2), 788-832, 2023
Forecasting238 citationsAn overview of clustering methods with guidelines for application in mental health research
CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, J Bayer, JM Menssink, ...
Psychiatry Research 327, 115265, 2023
Optimization182 citationsA systematic review of the use of topic models for short text social media analysis
CDP Laureate, W Buntine, H Linger
Artificial Intelligence Review 56 (12), 14223-14255, 2023
Research130 citations
Learn the science behind the engine
“Forecasting for Data Scientists”, a free 30-chapter video course by co-founder Dr Christoph Bergmeir, from fundamentals to advanced deep learning.