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 13 of 99
2023
Getting ‘ϕψχal’with proteins: minimum message length inference of joint distributions of backbone and sidechain dihedral angles
PR Amarasinghe, L Allison, PJ Stuckey, M Garcia de la Banda, AM Lesk, ...
Machine Learning3 citationsStorage assignment using nested annealing and hamming distances
J Oxenstierna, LJ van Rensburg, PJ Stuckey, V Krueger
International Conference on Operations Research and Enterprise Systems 2023 …, 2023
Research3 citationsLow-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
ND Nguyen, W Tan, L Du, W Buntine, R Beare, C Chen
2023 IEEE International Conference on Data Mining (ICDM), 1241-1246, 2023
Research3 citationsExploring hydrogen supply/demand networks: Modeller and domain expert views
M Klapperstueck, F de Nijs, I Senthooran, J Lee-Kopij, ...
29th International Conference on Principles and Practice of Constraint …, 2023
Machine Learning2 citationsReducing Redundant Work in Jump Point Search
S Zhao, D Harabor, PJ Stuckey
Proceedings of the International Symposium on Combinatorial Search 16 (1 …, 2023
Optimization2 citationsScalable Rail Planning and Replanning with Soft Deadlines
Z Chen, J Li, D Harabor, PJ Stuckey
arXiv preprint arXiv:2306.06455, 2023
Machine Learning2 citationsThe Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond
D Pekaslan, JM Alonso-Moral, K Bandara, C Bergmeir, ...
arXiv preprint arXiv:2311.04007, 2023
Forecasting1 citationsMiniZinc for Formal Methods
PJ Stuckey
2023 Formal Methods in Computer-Aided Design (FMCAD), 1-1, 2023
Research1 citationsPredict-then-optimise strategies for water flow control
VB Vaz, J Bailey, C Leckie, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2023
Research1 citationsThe divergence time of protein structures modelled by Markov matrices and its relation to the divergence of sequences
S Rajapaksa, L Allison, PJ Stuckey, MG de la Banda, AS Konagurthu
arXiv preprint arXiv:2308.06292, 2023
Research1 citationsRisk-limiting audits for Condorcet elections
M Blom, PJ Stuckey, V Teague, D Vukcevic
International Conference on Financial Cryptography and Data Security, 79-94, 2023
Research1 citationsA regular matching constraint for string variables
R Amadini, PJ Stuckey
Proceedings of the Thirty-Second International Joint Conference on …, 2023
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.