Stories capture our projects, thoughts, reflections, and highlights. Read about our latest work.
Data & AI
We identify and research trends and put data and AI algorithms to the test – all this with one question in mind: does this stuff actually work? We explore by doing, working with both completely new and more validated innovations.
The digital age creates an ever growing need for people to adjust to the rapid changing world around them. This comes with many challenges. At the Centre for Innovation we develop solutions in a responsible, transparent and above all meaningful way. We believe that technology can be built in a way that ensures privacy and improves equality and fairness. In a time of unprecedented access to data we try to put people first and bring the overwhelming aspect of technology back to a human scale. By doing this we want to help people to better understand the time and place we live in.
As a university department we are a neutral partner. We work open source and publish our best practices. Our standards help us to create innovations that are beneficial to society. By preparing Leiden University for the digital future we support its educational goals. We also collaborate with partner organisations on social impact projects around the globe, most notably in the humanitarian and peace & justice sectors. Industry partners can be part of our mission’s advancement too. Our approach is to work in short projects that last for several months. If proven successful it’s possible to scale up the results to a microservice, enabling other party’s to benefit from our work as well.
Using Facial Recognition in a Sensitive Context
Lessons learned from our pilot to support the validation of missing person inquiries One of the many tragedies of conflict and disaster is that people go missing, leaving their families to agonise over their fate, often for years. The International Commission on Missing Persons (ICMP) contributes to the search for these people through its Online Inquiry Centre (OIC). On the site, people can enter and retrieve information on individual missing person cases. One of the challenges presented by maintaining the OIC is the number of man-hours required to respond to inquiries that are received. Working with ICMP, the Centre for Innovation asked: would it be possible to support the verification of missing person inquiries by using facial recognition software? We developed a prototype to find out.
GDPR: Challenges and Opportunities in Innovation
In the environment of technological innovation, one of the most important factors to take into consideration is data protection and data responsibility. As society and the government grow increasingly aware of the many applications of data science, there is an increasing need to ensure that protocols and best practices are in place to avoid abuse of individuals' privacy. Under this theme, our Data Protection Officer, Joanna van der Merwe, was invited to talk at an Unleashing Innovation event in Amsterdam. Below our discussion with her about how it went