Data Driven Innovation
Our research group is active in the field of computational social science, with in-depth knowledge of data, statistics, social sciences and digitalisation.
We strive to understand social phenomena and develop practical insights and tools that help organisations, policymakers, and individuals make data-driven decisions and accelerate digital transformation.
Our areas of expertise
Artificial intelligence and machine learning
We develop and implement advanced predictive models and data-driven decision-support systems. We offer practical workshops and training programmes to improve digital skills. These focus on data analysis, statistics, artificial intelligence and machine learning. We actively support the development of self-learning systems that can make decisions autonomously. These systems provide actionable insights for various applications.
Data analytics and predictive models
Transform data into valuable insights. We use our expertise in data analytics and predictive modelling to identify trends and patterns that support strategic decisions and enable future success. Our researchers analyse complex data using advanced techniques and develop predictive models. Our visualisations make data insights accessible and so support effective decision-making.
Digital skills
We offer specialised training and support to optimise digital skills. We prepare staff and students for a future where data analysis and digital tools are essential. Our programmes focus on topics like data visualisation and artificial intelligence (AI) and can be tailored to specific needs.
Interested in collaborating or have questions?
Please contact us.
Antje Kollenhof-van Dijk
Our focus
We promote data-driven innovation and digital transformation through research and practical applications. We do this through different research lines, where theory and practice come together.
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Digital innovation in regional ecosystems
This line of research focuses on promoting data-driven innovation within regional contexts. We investigate how digitalisation can contribute to regional economic growth by optimising processes and stimulating innovation. Our researchers apply data-driven technologies such as artificial intelligence and machine learning to address regional challenges and identify opportunities. By providing insights into digital transformations, we help regional organisations, policymakers and institutions improve their performance and adapt to an ever-changing digital world.
Behavioural analysis and digital transformation
This line of research focuses on understanding individual and organisational behaviour through advanced data analysis and statistical techniques. We develop data-driven insights and interventions to improve processes and decision-making. We focus on analysing behaviours and social phenomena within organisations and communities, developing predictive models and data-driven insights, and supporting technology implementation to promote behavioural change. This helps organisations and individuals be better prepared for future challenges.
Digital skills for innovation
Digital skills are crucial in data-driven innovation. This line of research focuses on understanding, developing and advancing the digital skills needed for effective data-driven innovation in different contexts. We strengthen skills in data analysis, statistics and AI, and develop a data-driven mindset and culture where data insights are actively involved in decision-making and innovation. We help create an innovative and data-driven climate through collaboration and knowledge sharing, to enable organisations and individuals to be better prepared for future challenges.
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?
Contact us:
Let's find a solution together
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Our team
Ralf Kleijkers
Project leader/senior researcher & team captain Commercial Economics
[email protected] LinkedIn
Collaboration between the research group, the professional field and education
We are structurally involved in education and we are proud of that. For example, we are actively involved in various master's and minors, including the master's in Security and Digitalisation and the minor Digital Innovation.
In addition to providing graduation projects and multidisciplinary projects, we also organise initiatives that connect students with organisations. We attach great importance to connecting different levels of education and directions to the professional field. As a result, students gain valuable practical experience and companies benefit from their fresh insights and innovative ideas.
Related programmes
The research group is involved in the following programmes: