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 41 of 99
2017
MiniZinc with Strings
PJ Stuckey, G Tack
International Symposium on Logic-Based Program Synthesis and Transformation …, 2016
Research26 citationsDesigning a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis
C Bergmeir, I Bilgrami, C Bain, GI Webb, J Orosz, D Pilcher
PloS one 12 (12), e0188688, 2017
Research23 citationsToward electronic surveillance of invasive mold diseases in hematology-oncology patients: an expert system combining natural language processing of chest computed tomography …
MR Ananda-Rajah, C Bergmeir, F Petitjean, MA Slavin, KA Thursky, ...
Research23 citationsModelling risk-adjusted variation in length of stay among Australian and New Zealand ICUs
LD Straney, AA Udy, A Burrell, C Bergmeir, S Huckson, DJ Cooper, ...
PLoS One 12 (5), e0176570, 2017
Research23 citationsA declarative approach to constrained community detection
M Ganji, J Bailey, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2017
Machine Learning20 citationsLeveraging linguistic resources for improving neural text classification
M Liu, G Haffari, W Buntine, M Ananda-Rajah
Proceedings of the australasian language technology association workshop …, 2017
Machine Learning20 citationsForecast: Forecasting Functions for Time Series and Linear Models. R Package Version 8.2. 2017
R Hyndman, M O’Hara-Wild, C Bergmeir, S Razbash, E Wang
URL http://pkg. robjhyndman. com/forecast, 2017
Forecasting19 citationsPriority search with MiniZinc
T Feydy, A Goldwaser, A Schutt, PJ Stuckey, KD Young
ModRef 2017: The Sixteenth International Workshop on Constraint Modelling …, 2017
Optimization19 citationsAutomatic logic-based Benders decomposition with MiniZinc
T Davies, G Gange, P Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Research16 citationsRsnns: neural networks in r using the stuttgart neural network simulator (snns)
C Bergmeir, JM Benítez
Carpathian J Electron Comput Eng 46 (2), 3-6, 2017
Machine Learning11 citationsFixing the state budget: approximation of regular languages with small DFAs
G Gange, P Ganty, PJ Stuckey
International Symposium on Automated Technology for Verification and …, 2017
Research10 citations- Research10 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.