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 22 of 99
2021
Causal inference using global forecasting models for counterfactual prediction
P Grecov, K Bandara, C Bergmeir, K Ackermann, S Campbell, D Scott, ...
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 282-294, 2021
Forecasting11 citationsContent-aware listwise collaborative filtering
R Ravanifard, A Mirzaei, W Buntine, M Safayani
Neurocomputing 461, 479-493, 2021
Research11 citationsI Know What You Know: What Hand Movements Reveal about Domain Expertise
S Oviatt, J Lin, A Sriramulu
ACM Transactions on Interactive Intelligent Systems 11 (1), 1-26, 2021
Machine Learning10 citationsEnvironmental sound classification on the edge: Deep acoustic networks for extremely resource-constrained devices
M Mohaimenuzzaman, C Bergmeir, IT West, B Meyer
arXiv preprint arXiv:2103.03483, 2021
Machine Learning10 citationsforecast: Forecasting functions for time series and linear models (Version 8.14)
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting10 citationsJump point search with temporal obstacles
S Hu, DD Harabor, G Gange, PJ Stuckey, NR Sturtevant
Proceedings of the International Conference on Automated Planning and …, 2021
Optimization10 citationsRecommending content using side information
R Ravanifard, W Buntine, A Mirzaei
Applied Intelligence 51 (6), 3353-3374, 2021
Research10 citationsIeee-cis technical challenge on predict+ optimize for renewable energy scheduling
C Bergmeir, F de Nijs, S Ferraro, L Magdalena, P Stuckey, Q Bui, ...
URL: https://dx. doi. org/10.21227/1x9c-0161, doi 10, 2021
Optimization9 citationsA look at the evaluation setup of the m5 forecasting competition
H Hewamalage, P Montero-Manso, C Bergmeir, RJ Hyndman
arXiv preprint arXiv:2108.03588, 2021
Forecasting8 citationsCustomised shortest paths using a distributed reverse oracle
A Mahéo, S Zhao, A Hassan, DD Harabor, PJ Stuckey, M Wallace
Proceedings of the international symposium on combinatorial search 12 (1), 79-87, 2021
Multi-Agent Systems8 citationsAuditing hamiltonian elections
M Blom, PB Stark, PJ Stuckey, V Teague, D Vukcevic
International Conference on Financial Cryptography and Data Security, 235-250, 2021
Research8 citationsVersatile and robust transient stability assessment via instance transfer learning
S Meghdadi, G Tack, A Liebman, N Langrené, C Bergmeir
2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021
Research7 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.