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 33 of 99
2019
Package “forecast”. Online
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting7 citations- Machine Learning7 citations
Wombit: A portfolio bit-vector solver using word-level propagation
W Wang, H Søndergaard, PJ Stuckey
Journal of Automated Reasoning 63 (3), 723-762, 2019
Research7 citationsLeveraging meta information in short text aggregation
H Zhao, L Du, G Liu, W Buntine
57th Annual Meeting of the Association for Computational Linguistics, ACL …, 2019
Research6 citationsLogic-Based Program Synthesis and Transformation: 28th International Symposium, LOPSTR 2018, Frankfurt/Main, Germany, September 4-6, 2018, Revised Selected Papers
F Mesnard, PJ Stuckey
Springer, 2019
Machine Learning5 citationsRisk-limiting audits for IRV elections
M Blom, PJ Stuckey, V Teague
arXiv preprint arXiv:1903.08804, 2019
Research5 citationsExploring declarative local-search neighbourhoods with constraint programming
G Björdal, P Flener, J Pearson, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2019
Machine Learning4 citationsCompiling conditional constraints
PJ Stuckey, G Tack
International Conference on Principles and Practice of Constraint …, 2019
Machine Learning4 citationsPackage ‘frbs’
LS Riza, C Bergmeir, F Herrera, JM Benitez
Research3 citationsMulti-agent planning under uncertainty for capacity management
F de Nijs, MM De Weerdt, MTJ Spaan
Intelligent Integrated Energy Systems: The PowerWeb Program at TU Delft, 197-213, 2019
Machine Learning3 citationsDissecting widening: Separating termination from information
G Gange, JA Navas, P Schachte, H Søndergaard, PJ Stuckey
Asian Symposium on Programming Languages and Systems, 95-114, 2019
Research3 citationsElection manipulation with partial information
M Blom, PJ Stuckey, VJ Teague
International Joint Conference on Electronic Voting, 32-49, 2019
Research3 citations
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“Forecasting for Data Scientists”, a free 30-chapter video course by co-founder Dr Christoph Bergmeir, from fundamentals to advanced deep learning.