Facebook: Statistics for Improving Insights, Models, and Decisions

Aim: to address challenges in applied statistics that have direct applications for producing more effective insights and decisions for data scientists and researchers.

Facebook is particularly interested in: *Learning and evaluation under uncertainty, * Statistical models of complex social processes, * Causal inference with observational data, * Efficient sampling and prevalence measurement, * Design and analysis of experiments, * Anomaly Detection, * interpretability techniques for AI models

Funding: $50K.

(Please contact Research Authority - Non-profit, 5% overhead)

https://research.fb.com/programs/research-awards/proposals/statistics-for-improving-insights-models-and-decisions-request-for-proposals/