Knowledge Organization Research Observatory (KO-RO) is a series of online events dedicated to research activities and projects in the knowledge organization domain. Events feature reports and presentations on recent and ongoing research projects that include, interact or affect the knowledge organization field. Research on the intersection of information science and computer, behavioural and social sciences as well as humanities will all be included.

Research Observatory will take place via Zoom on the last Wednesday every month starting from March 2021.

KO-RO events should be of interest to information science educators, students and researchers interested in knowledge organization topics.

In collaboration with other Chapters of ISKO, this series will strive towards international coverage.

Research Observatory Co-ordinator: Aida Slavic

Upcoming events

30 June 2021

OBSERVING KNOWLEDGE ORGANIZATION TRAJECTORIES IN HEALTHCARE

Richard P. Smiraglia, Edmund Pajarillo, Elizabeth Milonas & Sergey Zherebchevsky: Home care nursing information behavior: expansion of a knowledge base in a time of pandemic

Ronald Cornet: Making healthcare data FAIR data: the ontologies-data models-instances conundrum

Details

 

Past events

19 May 2021

KNOWLEDGE ORGANIZATION SYSTEMS IN THE SPOTLIGHT: COLLECTING AND OBSERVING KOS

Gerard Coen: Observing trajectories in science: building the DANS KOS Observatory

Uma Balakrishnan & Jakob Voss: Looking both ways, BARTOC then and now as it prepares for the future of Knowledge Organization

This event is organized in collaboration with the ISKO Low Countries chapter.

Details

28 Apr 2021

COMPUTATIONAL ETHNOGRAPHY: TRACKING THE FLOW OF INFORMATION

By Martin White

Details

31 Mar 2021

AI IN EXPLOITING INFORMATION ASSETS TO ENHANCE VERIFICATION, CREATIVITY AND INNOVATION

Andrew MacFarlane & Sondess Missaoui: Exploiting information assets to enhance verification in Journalism: the DMINR approach

Neil Maiden: Exploiting information assets to enhance creativity and innovation: the CebAI approach

Details

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