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 3 of 99
2025
Most General Explanations of Tree Ensembles (Extended Version)
Y Izza, A Ignatiev, S Rubin, J Marques-Silva, PJ Stuckey
arXiv preprint arXiv:2505.10991, 2025
Research2 citationsConcurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
Y Zhang, Z Chen, D Harabor, P Le Bodic, PJ Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 39 (22), 23387 …, 2025
Optimization2 citationsAcoustic-to-hyper-spectral: real-time perimeter intrusion detection system monitoring through learnable filters and hyper-spectral image generation from distributed acoustic …
RE Pierau, J Katsifolis, A Meehan, H Rezatofighi, PJ Stuckey
Multi-Agent Systems2 citationsOptimal Multi-Agent Pickup and Delivery Using Branch-and-Cut-and-Price Algorithms
E Lam, PJ Stuckey, D Harabor
Transportation Science 59 (1), 104-124, 2025
Multi-Agent Systems2 citationsContext-driven cold-start Web traffic forecasting
X Zhou, W Wang, W Buntine, C Bergmeir
World Wide Web 28 (6), 1-24, 2025
Forecasting1 citationsExtending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
O Triebe, F Passow, S Wittner, L Wagner, J Arend, T Sun, C Zanocco, ...
arXiv preprint arXiv:2510.14983, 2025
Forecasting1 citationsFast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model
X Long, DF Schmidt, C Bergmeir, S Smyl
Statistics and Computing 35 (3), 77, 2025
Bayesian Methods1 citationsGeckoGraph: A visual language for polymorphic types
S Fu, T Dwyer, PJ Stuckey, J Grundy
Journal of Computer Languages, 101381, 2025
Research1 citationsDynamic Replanning for Improved Public Transport Routing
A Abuaisha, B Shen, D Harabor, P Stuckey, M Wallace
arXiv preprint arXiv:2505.14193, 2025
Optimization1 citationsLow-Level Search on Time Intervals in Branch-and-Cut-and-Price for Multi-Agent Path Finding
E Lam, PJ Stuckey
Optimization1 citationsPhiSiCal-Checkup: A Bayesian framework to validate amino acid conformations within experimental protein structures
PR Amarasinghe, L Allison, CJ Morton, PJ Stuckey, M Garcia de la Banda, ...
Proceedings of the National Academy of Sciences 122 (1), e2416301121, 2025
Bayesian Methods1 citationsTransition dominance in domain-independent dynamic programming
JC Beck, R Kuroiwa, JHM Lee, PJ Stuckey, AZ Zhong
31st International Conference on Principles and Practice of Constraint …, 2025
Machine Learning1 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.