Intervention Forecasting
Intervention Forecasting is a causal forecasting method that specifically predicts the effects of deliberate policy or external changes on a system by modeling the counterfactual trajectories resulting from such interventions.
15
Publications
717
Citations
53
Authors
34
Institutions
Publications per year
2017–2026
8
Parents
15
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan et al. · 2020 · 142 citations
Debashree Ray, Maxwell Salvatore, Rupam Bhattacharyya et al. · Harvard Data Science Review · 2020 · 122 citations · Full text
Public Health, Infectious Disease Control, Infectious Diseases +17
Design and Analysis of the Causation and Prediction Challenge
Isabelle Guyon, California Constantin Aliferis, Gregory M. Cooper et al. · 2008 · 76 citations
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34
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
392 citations
Tufts University
Medford, United States
3 h-index
3 publications
196 citations

University of Toronto
Toronto, Canada
3 h-index
5 publications
350 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
3 publications
196 citations
Vector Institute
Toronto, Canada
2 h-index
2 publications
184 citations
University of Connecticut
Storrs, United States
2 h-index
2 publications
248 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
1 publications
76 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
11 citations
1–8 of 34
Repository · 2 publications · 54 citations
2
h-index
1 publications · 17 citations
1
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1 publications · 27 citations
1
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1 publications · 11 citations
1
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IAER · 1 publications · 13 citations
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