Emily Laiken (2022) Dataset / database

togo-targeting-replication

GitHub

Ref: SRC-004-TGO-005

https://github.com/emilylaiken/togo-targeting-replication

Accessed: 3/27/2026

Summary

Public replication repository for the Togo targeting research. The repository documents notebook-level replication for survey processing, satellite poverty mapping, machine-learning modelling, targeting simulations, and fairness analysis, and notes that synthetic data were released for the non-public CDR inputs. This supports the case's open-source provenance and reproducibility claims.

View Harvard reference

Laiken, E. (2022) 'togo-targeting-replication', GitHub repository. Available at: https://github.com/emilylaiken/togo-targeting-replication (Accessed: 27 March 2026).

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SRC-004-TGO-005_Togo_Targeting_Replication_Code.html 44 KB

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Linked Cases (1)

TGO-005 TGO Operational Deployment (Limited Rollout)

Novissi – Machine Learning on Mobile Phone Metadata for Individual Poverty Prediction and Beneficiary Targeting

Social assistance Classical ML