About Course
COURSE DESCRIPTION
Land acquisition and resettlement work generates large record sets, continuous grievance logs and recurring reporting obligations to oversight bodies and lenders. This course covers structuring those records, categorising and trend-reporting grievances, documenting consultations, and producing safeguards reports — with the strictest data-protection module in the catalogue, because these files contain personal information about identifiable households.
WHO SHOULD ATTEND
- Land acquisition and resettlement officers
- Social safeguards and community liaison staff
- Project affected persons grievance cells
- Environmental and social compliance teams
DURATION AND FORMAT
2 days (14 contact hours)
PREREQUISITE
AI for Smart Office, or equivalent working familiarity with an AI assistant
COURSE OUTLINE
- Structuring land, compensation and household records for retrieval
- Grievance logging, categorisation and trend reporting
- Consultation and community meeting documentation
- Working across languages — translation support and its verification
- Safeguards reporting to lenders and oversight bodies
- Personal data protection — the hard limits, and how to work within them
WHAT YOU WILL BE ABLE TO DO
- Produce grievance trend reports from an unstructured log
- Document consultations consistently across multiple sites
- Draft safeguards reports against the required reporting framework
- Apply an explicit rule set for handling personal data in AI tools
YOU LEAVE WITH
A grievance trend report and a consultation record produced from anonymised project data.