PRE EVENT

Land Value and Cadaster - Twins for Transparency of Real Estate in AI-Times

Date: 23 May 2026
Time: 09:30 - 12:30
Location: TBA
Price: 500 ZAR (approximately 25 EUR)

This joint workshop will explore how integrated data systems, AI-driven valuation tools, and ethical governance frameworks can shape more transparent and equitable land and property systems. The focus will lie on bridging cadastre, property taxation, and public decision-making through innovation and international cooperation.

Main themes

Aligning cadastral and valuation data ecosystems to support sustainable land use and fair taxation
Case studies of mass appraisal reforms and digital land management (urban and rural contexts)
AI as a co-creator: how intelligent agents support local adaptation and scenario planning
Ensuring data integrity and trust through geospatial infrastructure and blockchain
Discussion on global standards, SDGs (9, 11, 13, 17), and national implementation pathways

Objectives

Promote cross-commission dialogue between valuation professionals and cadastral/land management experts to identify synergies in AI-supported property systems.
Present global experiences in integrating cadastral data with AVMs and public taxation systems, highlighting legal, technical, and governance frameworks.
Showcase innovative tools including AI agents, blockchain-based property data, and dynamic land value modelling for equitable and adaptive tax reform.
Foster international cooperation for SDG-aligned policies (SDG 9, 11, 13, and 17), especially in rapidly urbanizing or reforming regions.
Identify research gaps and policy opportunities for joint Commission 9–7 initiatives and inform a potential joint publication or FIG policy brief.

Expected outcome

Set of international best practices
FIG Standpoint Paper from Commission 7&9 on „Good Cadaster and good Valuation forces good Real Estate Transparency for a healthy Market”

Why attend

The Pre-event intends to elaborate on the following questions:

How can we ensure interoperability between cadastral systems and valuation models to support fair, data-driven taxation?
In what ways can AI agents and semantic tools enhance land value capture strategies while remaining transparent and accountable?
What role can blockchain and trusted geospatial infrastructure play in strengthening public confidence in cadastral and tax systems?
How do national case studies (e.g. Cyprus, Poland, Nepal, Turkey, Greece) illustrate successful or failed AVM/cadastre integration, and what can we learn from them?
What ethical and governance principles must guide AI deployment in land and property valuation contexts?
How can land and valuation experts work together to promote resilient, antifragile, and people-centric fiscal systems in the face of climate change or demographic stress?

Organisers

FIG Commissions:

7 - Cadastre and Land Management
9 - Valuation and the Management of Real Estate