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Data Science & Analytics
Module-by-module breakdown of AI and Transitional Justice: Modeling Reparations for Historical Crimes, from foundations to a certified capstone project.
Foundations
โข Truth commissions, prosecutions, reparations and guarantees of non-recurrence
โข Comparative experience across South Africa, Colombia, Rwanda and others
โข Victim-centred principles and the risk of technocratic capture
Evidence
โข Digitising and structuring testimony, court records and archival material
โข Entity resolution across inconsistent names, places and dates
โข Multiple systems estimation for casualty and violation counts
Analysis
โข Statistical analysis of violation patterns without overclaiming causation
โข Uncertainty communication when findings inform legal accountability
โข Bias from unreported and under-documented communities
Reparations
โข Individual, collective, material and symbolic reparation forms
โข Eligibility determination, registries and the exclusion errors they cause
โข Modelling distribution scenarios under fiscal and political constraints
Ethics
โข Consent, re-traumatisation and the duty of care to witnesses
โข Security of data that could endanger victims or witnesses
โข Ownership, archival access and the long-term stewardship of records
e-Certificate and e-Marksheet issued on successful completion.