Forms of collaboration and quality assurance
At the Data Driven Innovation Research Group, we work closely with companies, public institutions and educational organisations. We do this in a variety of ways. For example, through research projects, internships and consultancy projects. Quality is at the heart of our work, underpinned by strict quality assurance processes and scientific rigor.
How can we work together?
We like working on joint research projects with companies, public institutions and educational organisations. We offer students internships and graduation assignment positions and share expertise in data analysis, AI, digitalisation and social sciences. We also provide tailor-made consultancy and training programmes and support the development and implementation of innovative solutions. Together, we harness the power of data to achieve sustainable growth and innovation.
We work with various partners on projects to solve specific challenges, using our expertise in data analysis, machine learning, digitalisation and social sciences.
We offer internships and graduation assignment positions, where students gain practical experience and partners benefit from the latest knowledge and skills.
We provide tailor-made consultancy and training programmes along with workshops to improve digital skills and knowledge focusing on data analysis, statistics, machine learning and AI. We advise organisations on data-driven innovation and support them in their digital transformation.
Our cloud solution provides flexible and scalable IT infrastructure for both education and organisations. Application areas include data storage, virtual learning environments, collaboration tools and more, all designed to support and optimise your digital transformation.
Interested in collaborating?
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Looking for funding opportunities together
Discover a variety of financing options for your project. From government subsidies to research grants and partnerships. Our experts have extensive experience in acquiring European, national and regional grants and will guide you in finding the ideal financing mix to achieve your ideas.
Take advantage of European subsidy schemes such as Interreg, Erasmus+, and ERDF. These subsidies and grants support cross-border collaborations, education programmes, and regional development projects that contribute to a smarter and greener Europe.
Receive support from national schemes such as the MIT (SME Innovation Stimulation Top Sectors), WBSO (Research and Development Promotion Act), and Innovation Box. These grants stimulate innovation, R&D and technological development in Dutch companies.
Take advantage of regional funding opportunities such as Opportunities for West III, ERDF East, and local innovation programmes. These subsidies focus on strengthening the regional economy through market-oriented innovations and energy transition projects.
Explore local grants that are specifically aimed at smaller initiatives and partnerships within your municipality or region. These grants often support small-scale innovation projects, practical learning, and sustainable employability.
Quality assurance
Quality is key in all that we do at the Data Driven Innovation Research Group. Our approach is based on strict quality assurance processes that ensure that all our projects, collaborations and educational programmes meet the highest standards.
All our research projects are carried out according to the highest scientific standards. This ensures that the results are reliable and valid, and that they make a significant contribution to both science and practice.
We implement systematic evaluation and feedback mechanisms to continuously monitor the progress and impact of our projects. This ensures that we notice and address any areas for improvement in time. As a result, the quality of our output is continuously guaranteed.
Our education programmes and curricula have been certified and accredited by the relevant bodies. This ensures that students and participants gain the most up-to-date and relevant knowledge and skills, tailored to the demands of the modern job market.