Collective Intelligence in Socio-Technical Systems
Course code
old course code
Course title in Estonian
Kollektiivne intelligentsus sotsiotehnilistes süsteemides
Course title in English
Collective Intelligence in Socio-Technical Systems
ECTS credits
Assessment form
lecturer of 2021/2022 Spring semester
lecturer not assigned
lecturer of 2022/2023 Autumn semester
lecturer not assigned
Course aims
Introduce students to general socio-technical systems theory.
Familiarize students with conceptual knowledge and practices shaping different kinds of contemporary socio-technical systems.
Provide students an appraisal of the interplay between socio-technical systems and open society’s values.
Empower students with analytical competences supporting the discovery, description, interpretation, and prediction of the ways in which socio-technical systems and society affect each other.
Brief description of the course
Lecture-Seminar (6x4 h): Introduction to socio-technical systems and open society’s values empowered by these.
Central are different kinds of data from cognitive, affective, psychomotor and spatial domains and their representation forms: kinds of knowledge, meaning, value, competencies, trust, recognition, cohesion etc. and what can be made with such data, and what analytical approaches such data may provide; processes and services with the data for certain open society purposes such as accumulation/aggregation, validation, enaction, involvement, participatory surveillance/monitoring/awareness, guidance and pattern shaping/finding, recommending etc. Topics discussed will be: Learning and collective intelligence in socio-technical systems for open societies. Social and community related aspects in sociotechnical systems for open societies. Empowerment of spaces with socio-technical systems. Competing conceptions of governance in socio-technological systems: public goods and open data versus public choice and public values. Competing development paradigms: from citizens as clients and customers to citizens as co-producers.
Practice (6x4h): In practice theory and methodologies are introduced through reverse-engineering approach, the groups analyze and describe existing socio-technical systems and develop a theoretically sound conceptual vision for improving these systems. The jigzaw approach is used for circulating students between home- and expert groups.
Learning outcomes in the course
Upon completing the course the student:
- can apply theoretical concepts and practices used for developing socio-technical systems to discover, describe, interpret, and predict the ways in which socio-technical systems empower the society;
- uses socio-technical systems as leverage address challenges in society, systems.