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 47 of 99
2015
Sequencing operator counts
T Davies, A Pearce, P Stuckey, N Lipovetzky
Proceedings of the International Conference on Automated Planning and …, 2015
Research23 citationsGeneralized modularity for community detection
M Ganji, A Seifi, H Alizadeh, J Bailey, PJ Stuckey
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
Research18 citationsEncoding linear constraints with implication chains to CNF
I Abío, V Mayer-Eichberger, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2015
Machine Learning18 citationsModeling and solving project scheduling with calendars
S Kreter, A Schutt, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2015
Optimization13 citationsScheduling with fixed maintenance, shared resources and nonlinear feedrate constraints: A mine planning case study
CN Burt, N Lipovetzky, AR Pearce, PJ Stuckey
International Conference on Integration of Constraint Programming …, 2015
Machine Learning11 citationsA note on the validity of cross-validation for evaluating time series prediction. Monash University, Department of Econometrics and Business Statistics
C Bergmeir, RJ Hyndman, B Koo
Working Paper, 2015
Forecasting9 citationsA tool for intersecting context-free grammars and its applications
G Gange, JA Navas, P Schachte, H Søndergaard, PJ Stuckey
NASA Formal Methods Symposium, 422-428, 2015
Research8 citationsAn association rules text mining algorithm fusion with K-Means improvement
G Liu, W Buntine, W Fu, Y Du
2015 4th International Conference on Computer Science and Network Technology …, 2015
Research8 citationsPackage ‘RoughSets’
LS Riza, A Janusz, D Slezak, C Cornelis, F Herrera, JM Benitez, ...
Research7 citationsTwo type extensions for the constraint modeling language MiniZinc
R Caballero, PJ Stuckey, A Tenorio-Fornes
Science of Computer Programming 111, 156-189, 2015
Machine Learning7 citationsExploration of models for a cargo assembly planning problem
G Belov, N Boland, MWP Savelsbergh, PJ Stuckey
arXiv preprint arXiv:1504.00445, 2015
Optimization7 citationsApproximate uni-directional benders decomposition
CN Burt, N Lipovetzky, AR Pearce, PJ Stuckey
W12: Planning, Search, and Optimization, 24-31, 2015
Research4 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.