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 45 of 99
2016
Message recommendation using word isolation and clustering
JJ Oliver, WL Buntine, G Roumeliotis
US Patent App. 15/006,933, 2016
Research3 citationsDecoupling a Resource Constraint through Fictitious Play in Multi-agent Sequential Decision Making
F de Nijs, MTJ Spaan, MM de Weerdt
Proceedings of the Twenty-second European Conference on Artificial …, 2016
Machine Learning2 citationsA complete refinement procedure for regular separability of context-free languages
G Gange, JA Navas, P Schachte, H Søndergaard, PJ Stuckey
Theoretical Computer Science 625, 1-24, 2016
Research2 citationsScheduling tools for open-pit mining operations
LM Blom, CN Burt, N Lipovetzky, AR Pearce, PJ Stuckey
The University of Melbourne, Australia, 2016
Optimization2 citationsInterval constraints with learning: Application to air traffic control
T Feydy, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2016
Machine Learning1 citationsConstraint propagation and explanation over novel types by abstract compilation
G Gange, PJ Stuckey
International Conference on Logic Programming 2016, 13, 2016
Machine LearningConstraint Programming Approach to Find Bounded-Distance Paths in a Graph
D de Uña, G Gange, P Schachte, PJ Stuckey
4TH ANNUAL DOCTORAL COLLOQUIUM, 35, 2016
Machine LearningDiscrete Optimization for Agents
PJ Stuckey
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
OptimizationTechnical Communications of the 32nd International Conference on Logic Programming (ICLP 2016)
B Susman, Y Lierler, M Gebser, R Kaminski, B Kaufmann, M Ostrowski, ...
Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 2016
Research
2015
frbs: Fuzzy rule-based systems for classification and regression in R
LS Riza, C Bergmeir, F Herrera, JM Benítez
Journal of statistical software 65, 1-30, 2015
Research254 citationsForecasting functions for time series and linear models
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
R package version 6, 2015
Forecasting176 citationsSAT: Projected model counting
RA Aziz, G Chu, C Muise, P Stuckey
International Conference on Theory and Applications of Satisfiability …, 2015
Research91 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.