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 94 of 99
1993
- Research26 citations
Well-founded ordered search
PJ Stuckey, S Sudarshan
International Conference on Foundations of Software Technology and …, 1993
Optimization24 citationsOPAD data analysis
WL Buntine, R Kraft, K Whitaker, AE Cooper, WT Powers, TL Wallace
Joint Propulsion Conference and Exhibit, 1993
Research5 citationsSpace shuttle main engine plume diagnostics: OPAD approach to vehicle health monitoring
WT Powers, AE Cooper, TL Wallace, WL Buntine, K Whitaker
SAE Transactions, 2021-2033, 1993
Machine Learning4 citationsSpace Shuttle main engine OPAD: The search for a hardware enhanced plume
WT Powers, AE Cooper, TL Wallace, WL Buntine, KW Whitaker
JHU, The 1993 JANNAF Propulsion Meeting, Volume 2, 1993
Machine Learning1 citationsStatus of the Aditi deductive database system
J Vaghani, K Ramamohanarao, D Kemp, Z Somogyi, P Stuckey, T Leask, ...
ResearchOPAD data analysis((Optical Plumes Anomaly Detection))
W BUNTINE, R KRAFT, K WHITAKER, A COOPER, WT POWERS, ...
AIAA, SAE, ASME, and ASEE, Joint Propulsion Conference and Exhibit, 29 th …, 1993
Research
1992
The CLP (ℛ) language and system
J Jaffar, S Michaylov, PJ Stuckey, RHC Yap
Research821 citationsA further comparison of splitting rules for decision-tree induction
W Buntine, T Niblett
Machine Learning 8 (1), 75-85, 1992
Research472 citationsCLP (ℜ) and some electrical engineering problems
N Heintze, S Michaylov, P Stuckey
Research135 citationsAn abstract machine for CLP(R)
J Jaffar, PJ Stuckey, S Michaylov, RHC Yap
ACM SIGPLAN Notices 27 (7), 128-139, 1992
Research70 citationsThe CLP (R) Programmer’s Manual, Version 1.2
N Heintze, J Jaffar, S Michaylov, PJ Stuckey, R Yap
Research58 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.