This project applies automated Web-based retrieval of semantic associations between brand names and 400+ brand personality and competences indicators to develop a peer-to-peer matching system for organizations to build cooperative partnerships.
This project studies the question: how does safety culture emerge in hazardous operations of aviation organizations? using a real-world scenario from the aviation domain.
In this project, we improve methods to interpret free text in a large dataset from the domain of mental depression using sentiment analysis techniques.
Selecting scientific talent for positions and grants is a complex phenomenon. This project aims to develop rich criteria that combine traditional citation metrics with other web based data (social media, information access tools (Mendeley), and conference program committees (EventSeer)).
This project aims to explain when policy proposals lead to debate in the media and how debates in the media lead to policy proposals.
The Mapping Online Networks of Activism (MONA) project aims at developing tools to extract information (actors, locations, events) from news articles and blog posts, and to identify links between these.
By creating a agent-based simulation model of shared situation awareness in crisis situations, and by applying the model to a real world case, we hope to better understand how different factors influence situation awareness of teams in such situations.
We develop a semi-automated information mediation system to improve the exchange of information for targetting scientific grant applications, using the metaphor of a grant “market”.
Philosophy at scale develops a new methodology of research in philosophy. It involves the application of information extraction tools/semantic analysis developed by computer scientists and applied to the full text data from philosophy books in close collaboration with philosophers.
How do group identities develop, based on the dynamic interplay between network structure, inter-/intragroup interaction and group actions?
In this project we develop methods for tracking the spreading of metaphors and key-phrases in different media, such as blogs, newspapers, policy-documents and scientific articles over time.
Social capital theories argue that more embedded people feel more efficacious. But, are efficacious people more inclined to become members of organizations or do people become more efficacious in their networks?
We study the conditions under which knowledge is shared across the boundaries of different social media knowledge networks.
We aim to learn more about the relationship between patients’ participation in online health forums and the patients’ wellbeing.