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 36 of 99
2018
Multiobjective optimization for railway maintenance plans
D Peralta, C Bergmeir, M Krone, M Galende, M Menéndez, ...
Journal of Computing in Civil Engineering 32 (3), 04018014, 2018
Machine Learning35 citationsOptimal sankey diagrams via integer programming
DC Zarate, P Le Bodic, T Dwyer, G Gange, P Stuckey
2018 IEEE pacific visualization symposium (PacificVis), 135-139, 2018
Research34 citationsSelf-labeling techniques for semi-supervised time series classification: an empirical study
M González, C Bergmeir, I Triguero, Y Rodríguez, JM Benítez
Knowledge and Information Systems 55 (2), 493-528, 2018
Forecasting33 citationsAccurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes
F Petitjean, W Buntine, GI Webb, N Zaidi
Machine Learning 107 (8), 1303-1331, 2018
Bayesian Methods32 citationsInter and intra topic structure learning with word embeddings
H Zhao, L Du, W Buntine, M Zhou
International Conference on Machine Learning, 5892-5901, 2018
Research25 citationsAn iterative approach to precondition inference using constrained Horn clauses
B Kafle, JP Gallagher, G Gange, P Schachte, H Søndergaard, PJ Stuckey
Theory and Practice of Logic Programming 18 (3-4), 553-570, 2018
Machine Learning23 citationsSolver independent rotating workforce scheduling
N Musliu, A Schutt, PJ Stuckey
International Conference on the Integration of Constraint Programming …, 2018
Optimization22 citationsSolver-independent large neighbourhood search
JJ Dekker, MG De La Banda, A Schutt, PJ Stuckey, G Tack
International Conference on Principles and Practice of Constraint …, 2018
Optimization20 citationsMulti-objective short-term production scheduling for open-pit mines: a hierarchical decomposition-based algorithm
M Blom, AR Pearce, PJ Stuckey
Engineering Optimization 50 (12), 2143-2160, 2018
Optimization19 citationsComputing the margin of victory in preferential parliamentary elections
M Blom, PJ Stuckey, VJ Teague
International Joint Conference on Electronic Voting, 1-16, 2018
Research19 citationsSweep-based propagation for string constraint solving
R Amadini, G Gange, P Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Machine Learning19 citationsConstraint programming for high school timetabling: A scheduling-based model with hot starts
E Demirović, PJ Stuckey
International conference on the integration of constraint programming …, 2018
Machine Learning16 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.