Supporting scientific research
The Hanarth Fonds makes funding available for research and education (Fellowship) in artificial intelligence and machine learning within oncology, with a special focus on rare cancers in adults.
Clinicians or scientists* with background or profound interest in machine learning or artificial intelligence in general and a partner or partners with background in machine learning or artificial intelligence in general). Female researchers are explicitly invited to apply.
Medical or non-medical scientists with an appointment for at least the duration of the application process and the duration of the research at one of the following Dutch knowledge institutions: Dutch universities, university medical centers, KNAW- and NWO-institutes and researchers from the Netherlands Cancer Institute, Nivel and ARCNL can also apply.
1. Research project
Funding for a project in which artificial intelligence algorithms are developed and/or applied to data sets to gain more insight into the clinical, pathological, molecular or imaging characteristics of tumors and outcome of treatment. This knowledge will have the potential to improve the outcome of patients with particularly rare cancers by improving early detection and developing or improving therapeutic strategies, for example through individualized dynamic prediction models.
Machine learning approaches that can be utilized, amongst many others, are for example artificial neural networks, decision trees algorithms, support vector machines, Bayesian networks or rule-based systems. Data sets can consist of molecular data and non-medical data, imaging data or patient record forms or registries.
Projects for implementation research can also be submitted.
Budget: max. € 500,000 for 2-4 years. If this budget is exceeded, a motivated explanation of this exceeding must be added to the application.
2. Hanarth Fonds Fellowship
Funding of a specific training trajectory which recognizes the added value of incorporating machine learning into research, daily clinical work and organization. Training could exist for example of dedicated courses on this subject, advanced statistics or internships at institutes well known for their research in the field of machine learning.
Budget: max. € 250,000 for max. 2 years.
Kindly note that if you submitted a Fellowship proposal at the Hanarth Fonds during an earlier call - and this has been rejected - you may submit this proposal maximum one more time.
To apply for research funding or a fellowship one should first create an account on this website.
All applications are judged based on the following terms:
1. Research project
(i) that failure to comply with our financing conditions may result in a rejection of the application.
(ii) the maximum funding per research proposal is € 500,000. If this budget is exceeded, a motivated explanation of this exceeding must be added to the application. Before completing your budget request, we ask you to carefully read the funding conditions regarding the costs that are taken into consideration.
Eligible candidates are invited to submit a complete research proposal form before June 20, 2025 (14 CET). Complete research proposals that are taken into consideration, will be submitted to national and/or international experts (reviewers) for review.
Candidates are informed November 20, 2025 whether their proposal will be granted.
Download example complete proposal application
2. Hanarth Fonds Fellowship
Candidates are invited to apply before June 20, 2025 (14 CET).
Fellowship proposals are reviewed by the SAB. Applicants may be invited for an interview with (members of) the SAB.
Costs that are taken into consideration for funding are:
Candidates are informed November 20, 2025 whether their proposal will be granted.