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 4 of 99
2025
Huub: Lazy Clause Generation Solver
JJ Dekker, A Ignatiev, PJ Stuckey, AZ Zhong
Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2025
Research1 citationsCombining Constraint Programming and Metaheuristics for Aircraft Maintenance Routing with a Distribution Objective
I Gjergji, L Kletzander, H Bierlee, N Musliu, PJ Stuckey
International Conference on the Integration of Constraint Programming …, 2025
Machine Learning1 citationsTowards Modern and Modular SAT for LCG (Short Paper)
JJ Dekker, A Ignatiev, PJ Stuckey, AZ Zhong
31st International Conference on Principles and Practice of Constraint …, 2025
Research1 citationsSystem and method for price optimization using graph-based machine learning
A Sriramulu, N Fourrier
US Patent App. 18/824,730, 2025
Machine LearningMixed-Integer and Constraint Programming Models for the Two-Dimensional Guillotine Cutting Problem
S Polyakovskiy, M Dehghan, A Mcgregor, PJ Stuckey
European Journal of Operational Research, 2025
Machine LearningTo whom did my vote go?
A Conway, M Blom, A Ek, P Stuckey, V Teague, D Vukcevic
arXiv preprint arXiv:2509.13370, 2025
ResearchSub-Microsecond Grid Path Planning, at What Cost?
M Carlson, D Harabor, PJ Stuckey
Proceedings of the International Symposium on Combinatorial Search 18, 38-46, 2025
Optimization3+ Seat Risk-Limiting Audits for Single Transferable Vote Elections
M Blom, A Ek, PJ Stuckey, V Teague, D Vukcevic
International Conference on Financial Cryptography and Data Security, 226-240, 2025
ResearchDoing More With Less: Mismatch-Based Risk-Limiting Audits
A Ek, M Blom, PB Stark, PJ Stuckey, VJ Teague, D Vukcevic
International Conference on Financial Cryptography and Data Security, 241-255, 2025
ResearchAcoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums through Simulated Annealing (Student Abstract)
RE Pierau, A Meehan, H Rezatofighi, PJ Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 39 (28), 29466 …, 2025
ResearchDemocracy Developers A Guide to Risk Limiting Audits with RAIRE Part 2: Generating Assertions with RAIRE
M Blom, P Stuckey, V Teague
Machine LearningDemocracy Developers A Guide to Risk Limiting Audits with RAIRE Part 1: Auditing IRV Elections with RAIRE
M Blom, P Stuckey, V Teague
Machine Learning
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.