Assistant Professor of Information Science bei University of Bern (Official)
Education Management | Basel Area, Switzerland, CH
"One of the effects of living with electric information is that we live habitually in a state of information overload. There's always more than you can cope with." Marshall McLuhan
Edy is engaged in intelligently managing today's information overload. For this purpose, he uses a triangulation of methods, applications and tools originating mainly from computer and information science, as well as business and economics and social sciences.
On our way to a knowledge society, relevant information needs to be extracted from raw data (e.g., from Web, corporations, etc.), which in the end will help to expand knowledge of a single entity (e.g., managers, citizens, etc.) for one thing and the entire society (e.g., business, government, etc.) for another.
In order to contrive that, he analyzes search architectures, experiences, interactions, and patterns (e.g., from/on Google, Siri, etc.). Thereby his focus is on social software (e.g., Facebook, Wikipedia, etc.), from which collective intelligence, emergent semantics and fuzzy ontologies can arise. Imprecision, partial truth, and uncertainty, which may appear in dealing with such software thereby is handled with fuzzy logic.
So far, he focused primarily on applications in information extraction from social media, digital privacy and online reputation analysis, stakeholder management as well as prospect theory.
Spezialgebiete: Collective Intelligence, Fuzzy Sets and Systems, Human Computer Interaction, Information Retrieval, Social Web, Semantic Web, Social Semantic Web, Web of Things