The second LAND-at-scale (LAS) exchange took place from June 26^th to June 28^th, 2023. Sixty partners came together in Utrecht, the Netherlands to exchange lessons learned and explore common challenges. As of 2023, ten country projects are currently being implemented under the LAS program, namely Burkina Faso, Burundi, Chad, Colombia, Mali, Mozambique, the Palestinian Territories, Somalia, Rwanda and Uganda. All countries were represented and almost all implementing partners were present at the Exchange.

On 27-28 June 2022, RVO organized the first annual LAND-at-scale exchange, bringing together over fifty LAND-at-scale project partners, knowledge management partners, Committee members as well as representatives from the Dutch Ministry of Foreign Affairs for an in-depth introduction of all LAND-at-scale stakeholders and facilitate a learning exchange.

There is some irony in that many of the terms – ‘thesaurus’, ‘taxonomy’, ‘controlled vocabulary’ ‘ontology’ – that are intended to bring order and clarity to our use of language in professional settings are themselves subject to diverse interpretations and application. This is in large part because they are used by a range of people working in different contexts with different purposes.

The main objective of the LAND-at-scale program is to directly strengthen essential land governance components for men, women and youth that have the potential to contribute to structural, just, sustainable and inclusive change at scale. An ambitious objective, that cannot be achieved in isolation. Alignment is, therefore, a key factor in all LAND-at-scale activities - be it at project level for our country interventions or through our collaborative approach to knowledge management.

Knowledge management and learning are at the heart of the LAND-at-scale program. On June 29^th at a pre-event of the LANDac conference, the Netherlands Enterprise Agency (RVO), LANDac and the International Land Coalition (ILC) officially announced their collaboration to implement the knowledge management (KM) component of the program.