Research & Decision Science
Research built into the product
Forecasting, optimization and applied AI for real decisions under real constraints.





- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Scientific foundations
From research result to product behavior
Probabilistic forecasts, coherent hierarchies, constraint-aware recommendations and governed human intervention.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local forecasts do not aggregate coherently across the enterprise | 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 | Adaptive elicitation, semantic routing and governed context workflows |
| Human-in-the-loop AI | Automation without trust creates resistance | Belief review, governed publication and intervention lineage |
| Alignment science | Teams optimize against conflicting goals | Goals & Guardrails within Forecasting & Optimization |
Hierarchical forecasting
Local forecasts do not aggregate coherently across the enterprise
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
Adaptive elicitation, semantic routing and governed context workflows
Human-in-the-loop AI
Automation without trust creates resistance
Belief review, governed publication and intervention lineage
Alignment science
Teams optimize against conflicting goals
Goals & Guardrails within Forecasting & Optimization
Research database
Search the indexed record by title, author, venue, category or year. Records include peer-reviewed work, preprints, books, chapters and other scholarly outputs.
1,181 results · page 66 of 99
2009
2008
The design of the Zinc modelling language
K Marriott, N Nethercote, R Rafeh, PJ Stuckey, M Garcia De La Banda, ...
Constraints 13 (3), 229-267, 2008
Research194 citationsEfficient constraint propagation engines
C Schulte, PJ Stuckey
ACM Transactions on Programming Languages and Systems (TOPLAS) 31 (1), 1-43, 2008
Machine Learning181 citationsNew integer linear programming approaches for course timetabling
N Boland, BD Hughes, LTG Merlot, PJ Stuckey
Computers & Operations Research 35 (7), 2209-2233, 2008
Research96 citationsExploration of networks using overview+ detail with constraint-based cooperative layout
T Dwyer, K Marriott, F Schreiber, P Stuckey, M Woodward, M Wybrow
IEEE Transactions on Visualization and Computer Graphics 14 (6), 1293-1300, 2008
Machine Learning83 citations- Research83 citations
Logic programming with satisfiability
M Codish, V Lagoon, PJ Stuckey
Theory and Practice of Logic Programming 8 (1), 121-128, 2008
Research48 citationsStructural search and retrieval using a tableau representation of protein folding patterns
AS Konagurthu, PJ Stuckey, AM Lesk
Bioinformatics 24 (5), 645-651, 2008
Optimization35 citationsProduct retrieval for grocery stores
P Nurmi, E Lagerspetz, W Buntine, P Floréen, J Kukkonen
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
Research35 citationsHM (X) type inference is CLP (X) solving
M Sulzmann, PJ Stuckey
Journal of Functional Programming 18 (2), 251-283, 2008
Bayesian Methods30 citationsGlobal difference constraint propagation for finite domain solvers
T Feydy, A Schutt, PJ Stuckey
Proceedings of the 10th international ACM SIGPLAN conference on Principles …, 2008
Machine Learning29 citationsFlexible, rule-based constraint model linearisation
S Brand, GJ Duck, J Puchinger, PJ Stuckey
International Symposium on Practical Aspects of Declarative Languages, 68-83, 2008
Machine Learning22 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.