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 29 of 99
2020
F-cardinal conflicts in conflict-based search
E Boyarski, D Harabor, P Stuckey, P Le Bodic, A Felner
Proceedings of the International Symposium on Combinatorial Search 11 (1 …, 2020
Optimization5 citationsHierarchical gradient smoothing for probability estimation trees
H Zhang, F Petitjean, W Buntine
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 222-234, 2020
Research5 citationsJoint host-network power scaling with minimizing VM migration in SDN-enabled cloud data centers
T Chakraborty, AN Toosi, C Kopp, P Stuckey, J Mahet
2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing …, 2020
Research4 citationsString constraint solving: Past, present and future
R Amadini, G Gange, P Schachte, H Søndergaard, PJ Stuckey
European Conference on Artificial Intelligence 2020, 2875-2876, 2020
Machine Learning4 citationsSeasonal averaged one-dependence estimators: a novel algorithm to address seasonal concept drift in high-dimensional stream classification
R Godahewa, T Yann, C Bergmeir, F Petitjean
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Research3 citationsLarge neighborhood search for temperature control with demand response
E Lam, F de Nijs, PJ Stuckey, D Azuatalam, A Liebman
International Conference on Principles and Practice of Constraint …, 2020
Optimization3 citationsShifting the balance-of-power in stv elections
M Blom, A Conway, PJ Stuckey, VJ Teague
International Joint Conference on Electronic Voting, 1-18, 2020
Research3 citationsDashed strings and the replace (-all) constraint
R Amadini, G Gange, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2020
Machine Learning3 citationsThe argmax constraint
G Gange, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2020
Machine Learning3 citationsComputer modeling of a potential agent against SARS‐Cov‐2 (COVID‐19) protease
AM Lesk, AS Konagurthu, L Allison, MG de La Banda, PJ Stuckey, ...
Machine Learning3 citationsRandom errors are not necessarily politically neutral
M Blom, A Conway, PJ Stuckey, VJ Teague, D Vukcevic
International Joint Conference on Electronic Voting, 19-35, 2020
Research2 citationsImproving single and multi-view blockmodelling by algebraic simplification
R Ramteke, PJ Stuckey, J Chan, K Ramamohanarao, J Bailey, C Leckie, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
Machine Learning2 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.