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 67 of 99
2008
Type inference for GADTs via Herbrand constraint abduction
M Sulzmann, T Schrijvers, PJ Stuckey
CW Reports, 2008
Machine Learning19 citationsCadmium: An implementation of ACD term rewriting
GJ Duck, L De Koninck, PJ Stuckey
International Conference on Logic Programming, 531-545, 2008
Research17 citationsComparing usability of one-way and multi-way constraints for diagram editing
M Wybrow, K Marriott, L Mciver, PJ Stuckey
ACM Transactions on Computer-Human Interaction (TOCHI) 14 (4), 1-38, 2008
Machine Learning17 citationsOptimizing compilation of CHR with rule priorities
L De Koninck, PJ Stuckey, GJ Duck
International Symposium on Functional and Logic Programming, 32-47, 2008
Research16 citationsAutomating branch-and-bound for dynamic programs
J Puchinger, PJ Stuckey
Proceedings of the 2008 ACM SIGPLAN symposium on Partial evaluation and …, 2008
Research16 citationsFrom high-level model to branch-and-price solution in G12
J Puchinger, PJ Stuckey, M Wallace, S Brand
International Conference on Integration of Artificial Intelligence (AI) and …, 2008
Research14 citationsThe core concept for 0/1 integer programming
S Huston, J Puchinger, PJ Stuckey
Fourteenth Computing: The Australasian Theory Symposium (CATS2008), 2008
Research13 citations- Research11 citations
Natural language retrieval of grocery products
P Nurmi, E Lagerspetz, W Buntine, P Floréen, J Kukkonen, P Peltonen
Proceedings of the 17th ACM conference on information and knowledge …, 2008
Research10 citationsAutoBayes program synthesis system users manual
J Schumann, H Jafari, T Pressburger, E Denney, W Buntine, B Fischer
Research10 citationsThe many roads leading to Rome: Solving Zinc models by various solvers
R Becket, S Brand, M Brown, GJ Duck, T Feydy, J Fischer, J Huang, ...
Conference Organising Committee, 2008
Research8 citationsTelecommunications feature subscription as a partial order constraint problem
M Codish, V Lagoon, PJ Stuckey
International Conference on Logic Programming, 749-753, 2008
Machine Learning7 citations
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