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 18 of 99
2022
Auditing ranked voting elections with Dirichlet-tree models: first steps
F Everest, M Blom, PB Stark, PJ Stuckey, V Teague, D Vukcevic
arXiv preprint arXiv:2206.14605, 2022
Research1 citationsSelecting and scheduling an optimal subset of road network upgrades
AD Stivala, PJ Stuckey, MG Wallace
arXiv preprint arXiv:2204.10175, 2022
Optimization1 citationsFindings of the association for computational linguistics: Aacl-ijcnlp 2022
Y He, H Ji, S Li, Y Liu, CH Chang
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022
Research1 citationsENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection
Q Wang, M Salehi, JS Low, W Buntine, C Leckie
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 17-29, 2022
Research1 citationsDealing with missing data using attention and latent space regularization
JC Penny-Dimri, C Bergmeir, J Smith
arXiv preprint arXiv:2211.07059, 2022
ResearchRNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression
A Quinn, M Simmons, B Spivak, C Bergmeir
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
Machine LearningA FastMap-Based Algorithm for Block
A Lil, P Stuckey, S Koenig¹, TKS Kumar¹
Integration of Constraint Programming, Artificial Intelligence, and …, 2022
ResearchAssessing the accuracy of the Australian Senate count: Key steps for a rigorous and transparent audit
M Blom, PB Stark, PJ Stuckey, V Teague, D Vukcevic
arXiv preprint arXiv:2205.14634, 2022
ResearchModelling zeros in blockmodelling
LAF Park, M Ganji, E Demirovic, J Chan, P Stuckey, J Bailey, C Leckie, ...
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 187-198, 2022
ResearchOptimization of the Storage Location Assignment Problem Using Nested Annealing
J Oxenstierna, LJ van Rensburg, PJ Stuckey, V Krueger
International Conference on Operations Research and Enterprise Systems, 220-244, 2022
OptimizationFitting AI Technology to Complex Policy Problems: Phase 1 Report
M Bolton, T Chan, R O'Connor, R Pearson, I Senthooran, P Stuckey
Monash University, 2022
Machine LearningExplaining propagation for Gini and spread with variable mean
A Ek, A Schutt, PJ Stuckey, G Tack
International Conference on Principles and Practice of Constraint …, 2022
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.