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 77 of 99
2004
Set domain propagation using ROBDDs
V Lagoon, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2004
Machine Learning36 citationsExploring independent trends in a topic-based search engine
J Perkio, W Buntine, S Perttu
IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 664-668, 2004
Optimization33 citationsA generic framework for context-sensitive analysis of modular programs
G Puebla, J Correas, MV Hermenegildo, F Bueno, MG de la Banda, ...
Program Development in Computational Logic: A Decade of Research Advances in …, 2004
Research26 citationsProgressive multiple alignment using sequence triplet optimizations and three-residue exchange costs
AS Konagurthu, J Whisstock, PJ Stuckey
Journal of Bioinformatics and Computational Biology 2 (04), 719-745, 2004
Optimization22 citationsUsing discrete PCA on web pages
W Buntine, S Perttu, V Tuulos
Workshop on Statistical Approaches to Web Mining, SAWM 4, 2004
Research21 citationsJust enough tabling
K Sagonas, PJ Stuckey
Proceedings of the 6th ACM SIGPLAN international conference on Principles …, 2004
Research15 citationsParliamentary group and individual voting behavior in Finnish Parliament in year 2003: A group cohesion and voting similarity analysis
A Pajala, A Jakulin, W Buntine
cited on, 82, 2004
Research14 citationsCompiling ask constraints
GJ Duck, MG de la Banda, PJ Stuckey
International Conference on Logic Programming, 105-119, 2004
Machine Learning13 citationsSet bounds and (split) set domain propagation using ROBDDs
P Hawkins, V Lagoon, PJ Stuckey
Australasian Joint Conference on Artificial Intelligence, 706-717, 2004
Machine Learning12 citationsThe chameleon system
PJ Stuckey, M Sulzmann, J Wazny
First workshop on constraint handling rules: selected contributions, 13-32, 2004
Research10 citations- Optimization8 citations
Towards flexible graphical communication using adaptive diagrams
K Marriott, B Meyer, PJ Stuckey
Annual Asian Computing Science Conference, 380-394, 2004
Research4 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.