The National Housing Authority is advancing the upgrade of the country’s housing development by integrating geospatial technology and artificial intelligence, laying the foundation for social security, reducing inequality, and increasing opportunities to improve the quality of life for all target groups.
On 25 Feb 2026 GMT+7, Associate Professor Dr. Amnat Jamratjarungphon, a member of the National Housing Authority Board, chaired the opening of the academic dissemination event under the 2025 fiscal year Housing Information System Development and Service Project titled “GEO AI towards Smart Living.” Present were Group Captain Thanat Wansang and Group Captain Nithiwat Tonak, expert board members; Mr. Taweepong Wichaidit, Governor of the National Housing Authority, who reported on the project’s objectives; representatives from public and private sectors; Dr. Krisnai Charoenjitr, a GEO AI expert from Burapha University and his team; along with citizens and senior executives of the National Housing Authority. The event was held in the ballroom on the 7th floor of The Westin Grande Sukhumvit Hotel, Bangkok.
The Governor of the National Housing Authority revealed that this event was not merely an academic forum but reflected the elevation of the country’s housing development by driving geospatial data and “data with intelligence” to set public policies in the digital era. This aligns with the 20-year Strategic Housing Development Plan (2017–2036), where the Ministry of Social Development and Human Security and the National Housing Authority jointly ensure housing security for all target groups, especially low-income and vulnerable populations, to provide equal opportunities. Housing is not only a basic need but the foundation of social security, equality, and opportunities to improve quality of life.
Mr. Taweepong added that the National Housing Authority has assigned Burapha University to conduct the Housing Information System Development and Service Project to survey and update the geospatial housing database accurately, comprehensively, and currently. This covers data on low-income communities, public housing projects, National Housing Authority projects, and private sector housing projects in Chiang Mai, Chiang Rai, Nong Khai, Nakhon Phanom, Mukdahan, and Tak provinces. This work will be a key mechanism to enhance the accuracy of spatial data, raise government database standards, and support policy-making that truly responds to local contexts.
The National Housing Authority has entered a new phase of development by integrating GEO AI (Geospatial Artificial Intelligence) and Machine Learning (ML) with the geospatial housing database system. This transforms spatial data into intelligent data, enabling the identification of spatial inequality, risk areas, and development opportunities precisely. It also forecasts future housing trends, issues, and needs to support project planning, resource allocation, and state welfare development targeted accurately to reduce duplication and increase operational efficiency systematically. This will lead to creating “Smart Living” based on accurate, transparent, and fair data, ensuring that all people have access to standard housing and sustainable quality of life without leaving anyone behind, Mr. Taweepong concluded.
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