Marcel Worring Appointed Professor of Multimedia Analytics
Marcel Worring conducts research on access to large-scale multimedia data sources. He follows an approach that links automatic analysis of the data to interactive visualizations. He searches for methods to provide insight into unstructured data (images, text, social media) in combination with structured data (websites, company data, knowledge bases, demographic indicators) in order to find relationships, patterns, trends and structures.
The central question is how computers can automatically learn from all these information sources – with their different qualities and properties – and how optimal synergy can be achieved between computers’ ability to analyse large amounts of data and the analytical qualities and knowledge of experts.
As professor of Multimedia Analytics, Worring will give fresh impetus to his research into intelligent technologies and their applications in a wide range of fields such as medical applications, business innovation, cultural heritage, and safety. He will also teach in the Artificial Intelligence and Data Science programmes.
About Marcel Worring
Worring has worked at the UvA since 1993. Since 2014, he has been a professor of Data Science for Business Analytics at the Faculty of Economics and Business. Worring is co-founder of the Dutch Innovation Center for Artificial Intelligence (ICAI) and director of ICAI-Amsterdam. In addition, he is scientific director of the Dutch National Police Lab AI and the AI for Medical Imaging Lab. From 2016 – 2019, Worring was director of the Informatics Institute.
From September onwards Amsterdam Data Science will merge media channels with Amsterdam AI. Any online activities you are used to will continue on the Amsterdam AI channels. So please register below to stay up to date!
Amsterdam Data Science is excited to announce the next step in joining forces with Amsterdam AI. Together, we will support Amsterdam’s development as an international hub for Responsible AI.
The UvA Data Science Center is announcing a groundbreaking research program to align artificial intelligence (AI) for the interpretation of video data with human values and ethical principles.