• Objectives of the urban analytics workstream

1. To create a space where international best practices in the field of urban analytics can be shared.
   
   

2. To provide a forum for discussion on the key challenges that public sector organisations face in the use of new forms of geospatial data and modern computational approaches to inform their decision-making processes.
   
   

3. To investigate how urban analytics can be translated into policies.

These objectives are likely to lead to the following outcomes:

1. To bring together urban analytics experts from various sectors around the world and enable discussions on the challenges and opportunities of leveraging urban analytics in policy making.
   
   
2. To raise awareness among national statistical offices and practitioners about the importance of adopting strategies to create open data products through transparent and reproducible workflows that can support decision making processes.

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• Who we are

The OECD Laboratory for Geospatial Analysis (The Geospatial Lab) is an initiative to encourage the widespread adoption of geospatial data in shaping policies that make a difference in tackling today’s place-based problems. It aims to create an international community of stakeholders from the public, private, and not-for-profit sectors, to share knowledge and co-operate in the production and use of geospatial data, all the while emphasising the policy implications of geospatial data use. The Lab is hosted by the OECD Centre for Entrepreneurship, SMEs, Regions and Cities (CFE).

• Contacts

Email: geospatiallab@oecd.org

 Upcoming meetings

TBC

 Previous meetings

22 November 2022: Workshop on Urban Analytics in Policymaking

Download agenda here

Presentation: Sarah Williams – Using Data for a Public Good

Presentation: Stefanie Lumnitz – From technology to policy: How to accelerate Europe’s Green and Just Transition with Earth Observation Data and Services?

Presentation: Alexandre Banquet – Monitoring land use in cities using satellite imagery and deep learning