The Leiden University Fund (LUF) Committee for Academic Expenditure (CWB) has an annual project grant round in March for teaching and research projects up to € 35,000. The resources come from the named funds of the LUF, the project grants funds of Stichting Praesidium Libertatis I and from the collaboration of the LUF with the Gratama-Stichting, Stichting Elise Mathilde Fonds en Stichting Verpakking en Milieu.

Dominique Moïsi, a professor at King’s College London, will be the first holder of the Owada chair. ‘In the present international context of polarisation and divisions within societies and amongst nations, any effort at bringing Asia and Europe closer to each other is truly important.’

Persecution, conflicts and crises are threatening academic institutions and researchers worldwide. This has major implications for science. Leiden University's Scholars for Scholars programme is helping scholars at risk through crowdfunding.

The Leiden University Fund (LUF) Committee for Academic Expenditure (CWB) has an annual project grant round in March for teaching and research projects up to € 35,000. This year a second round was held in September.

Once a year the Committee for Academic Expenditure (CWB) of the Leiden University Fund (LUF) awards grants for research and teaching projects, ranging from € 5,000 to € 25,000.

Many of our alumni live outside the Netherlands. Maybe you are one of them and wish to contribute to the success of your alma mater?

What effects do large infrastructure projects in Africa have on citizens, economic opportunity and social marginalization? And how does farmland affect the liver? Two research questions that can be further investigated thanks to grants from the Leiden University Fund.

Misleading graphs, the erosion of democracy and the weakening of bones as a side-effect of medication. Researchers are starting work on these very topical problems, funded by subsidies from the Leiden University Fund (LUF), and the Praesidium Libertatis I Foundation, awarded on Monday 12 October.

A unique multicenter study, including about 3,500 youth between 10 and 25 years old from across the globe, shows that artificial intelligence - specifically machine learning - is able to identify individuals with anxiety disorders based on their unique brain structure.