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 51 of 99
2014
A satisfiability solving approach
A Schutt, T Feydy, PJ Stuckey, MG Wallace
Handbook on project management and scheduling vol. 1, 135-160, 2014
Research12 citationsNested constraint programs
G Chu, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2014
Machine Learning11 citationsAnalyzing array manipulating programs by program transformation
JRM Cornish, G Gange, JA Navas, P Schachte, H Søndergaard, ...
International Symposium on Logic-Based Program Synthesis and Transformation …, 2014
Research7 citationsForecast
RJ Hyndman, G Athanasopoulos, S Razbash, D Schmidt, Z Zhou, Y Khan, ...
Forecasting functions for time series and linear models. R package version 2, 2014
Forecasting6 citationsFragment-based planning using column generation
T Davies, A Pearce, P Stuckey, H Søndergaard
Proceedings of the International Conference on Automated Planning and …, 2014
Optimization6 citationsforecast: Forecasting functions for time series and linear models
S Razbash, D Schmidt, Z Zhou, Y Khan, C Bergmeir, E Wang
R package version5 6, 2014
Forecasting5 citationsSeeing around corners: Fast orthogonal connector routing
K Marriott, PJ Stuckey, M Wybrow
International Conference on Theory and Application of Diagrams, 31-37, 2014
Research5 citationsA Novel Priority Rule Heuristic: Learning from Justification
F de Nijs, T Klos
Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014
Research4 citationsLoop untangling
K Francis, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2014
Research4 citationsA partial-order approach to array content analysis
G Gange, JA Navas, P Schachte, H Sondergaard, PJ Stuckey
arXiv preprint arXiv:1408.1754, 2014
Research4 citationsHow precise are reported protein coordinate data?
AS Konagurthu, L Allison, D Abramson, PJ Stuckey, AM Lesk
Biological Crystallography 70 (3), 904-906, 2014
Research4 citationsExploring temporal patterns in emergency department triage notes with topic models
S Kocbek, K Verspoor, W Buntine
Proceedings of the Australasian Language Technology Association Workshop …, 2014
Research2 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.