Research & Decision Science
Where forecasting research becomes operational decision infrastructure
RabbitHawk is built on peer-reviewed work in probabilistic forecasting, hierarchical reconciliation, optimization and applied AI, translated into systems that improve real decisions under real constraints.
- publications
- 1,181publications
- citations
- 53,485citations
- highly cited papers
- Top 1%highly cited papers
Scientific foundations
Methods proven in the literature, applied in production
Our team’s research is recognized at the field’s leading venues and used at scale by major organizations. We bring that rigor to enterprise planning, but judge every method by whether it improves decisions in practical settings.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local plans do not add up to executive targets | 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 | Context ingestion and decision agents |
| Human-in-the-loop AI | Automation without trust creates resistance | Approval, override and audit trails |
| Alignment science | Teams optimize against conflicting goals | 90North alignment and goal clarity |
Hierarchical forecasting
Local plans do not add up to executive targets
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
Context ingestion and decision agents
Human-in-the-loop AI
Automation without trust creates resistance
Approval, override and audit trails
Alignment science
Teams optimize against conflicting goals
90North alignment and goal clarity
Selected publications
The full peer-reviewed database: search by title, author, venue, category or year.
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.