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 64 of 99
2009
Monadic constraint programming
T Schrijvers, P Stuckey, P Wadler
Journal of Functional Programming 19 (6), 663-697, 2009
Machine Learning77 citationsAnalyzing the us senate in 2003: Similarities, clusters, and blocs
A Jakulin, W Buntine, TM La Pira, H Brasher
Political Analysis 17 (3), 291-310, 2009
Research60 citationsComparing calibration approaches for 3D ultrasound probes
C Bergmeir, M Seitel, C Frank, RD Simone, HP Meinzer, I Wolf
International journal of computer assisted radiology and surgery 4 (2), 203-213, 2009
Research48 citationsOrthogonal connector routing
M Wybrow, K Marriott, PJ Stuckey
International Symposium on Graph Drawing, 219-231, 2009
Research45 citationsMinimizing the maximum number of open stacks by customer search
G Chu, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2009
Optimization45 citationsKernel conditional quantile estimation via reduction revisited
N Quadrianto, K Kersting, MD Reid, TS Caetano, WL Buntine
2009 Ninth IEEE International Conference on Data Mining, 938-943, 2009
Research43 citationsThe proper treatment of undefinedness in constraint languages
AM Frisch, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2009
Machine Learning42 citationsTableau-based protein substructure search using quadratic programming
A Stivala, A Wirth, PJ Stuckey
BMC bioinformatics 10 (1), 153, 2009
Optimization20 citationsMachine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II
W Buntine, M Grobelnik, D Mladenic, J Shawe-Taylor
Springer, 2009
Machine Learning19 citationsMaintaining state in propagation solvers
RM Reischuk, C Schulte, PJ Stuckey, G Tack
International Conference on Principles and Practice of Constraint …, 2009
Machine Learning18 citationsUsing relaxations in maximum density still life
G Chu, PJ Stuckey, MG De La Banda
International Conference on Principles and Practice of Constraint …, 2009
Research9 citationsA declarative encoding of telecommunications feature subscription in SAT
M Codish, S Genaim, PJ Stuckey
Proceedings of the 11th ACM SIGPLAN conference on Principles and practice of …, 2009
Research9 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.