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
approximate amount of contact lessons
Teaching semester
Assessment form
lecturer of 2019/2020  Autumn semester
Kai Pata (inglise keel) tavaline kursus
lecturer of 2019/2020  Spring 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.
Independent work
Individual work is related with literature analysis needed as part of groupwork.
Learning outcomes in the course
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; and
- Use socio-technical systems as leverage address challenges in society, systems.
Assessment methods
Exam is based on group-work assessment using the following components:
- Group-work applies correctly the concepts and contemporary design practices of open society systems in describing and interpreting the socio-technical system under analysis
- Group-work presents the completed conceptual plan for the enhancement of the socio-technical system under analysis justified on the theoretical bases
Kai Pata, David Lamas
Study literature
The course literature is made available in the course blog. Besides learning resources the selected articles are provided from research book chapters and journal papers listed in the replacement literature.
Replacement literature
Selected papers in Science and Technology Studies
Selected chapters from: Borrás, S., & Edler, J. (Eds.). (2014). The governance of socio-technical systems: explaining change. Edward Elgar Publishing.
Charalabidis, Y., Koussouris, S. (2012). Empowering Open and Collaborative Governance: Technologies and Methods for Online Citizen Engagement in Public Policy Making
Goldstein, B., Dyson, L. (2013). Beyond Transparency: Open Data and the Future of Civic Innovation
Lathorp, D., Ruma, L. (2010). Open Government: Collaboration, Transparency, and Participation in Practice 1st Edition.
Chopra, A. (2014). Innovative State: How New Technologies Can Transform Government.
Mayer-Schönburger, V., Lazer, D. (2007). Governance and Information Technology: From Electronic Government to Information Government. MIT Press, 9895th Edition
Shark, A.R. (2012). Seven Trends that will Transform Local Government Through Technology.
Goldsmith, S., Crawford, S. (2014). The Responsive City: Engaging Communities Through Data-Smart Governance, 1st Edition. Wiley.
Townsend, A.M. (2014). Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia
Ratti, C., Claudel, M. (2016). The City of Tomorrow: Sensors, Networks, Hackers, and the Future of Urban Life, The Future Series.
Hassan, R. (2008). The Information Society: Cyber Dreams and Digital Nightmares
Mate, J.L. , Silva, A. (2005). Requirements Engineering for Sociotechnical Systems.
Mumford, E. (1985). Sociotechnical Systems Design: Evolving Theory and Practice.
Ropohl, G. (1999). Philosophy of socio-technical systems.PHIL & TECH 4:3. 59-71.
Opazo, P. (2010). Sociotechnical Systems
Walker, Guy H., Stanton, Neville A., Salmon, Paul M. and Jenkins, Daniel P. (2008) A review of sociotechnical systems theory: a classic concept for new command and control paradigms. Theoretical Issues in Ergonomics Science, 9, (6), 479-499
Miorandi, D., Maltese, V. (2014). Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society
Bacon, J. (2012). The Art of Community: Building the New Age of Participation
Resnick, P. Kiesler, S. Burke, M. et al. (2012). Building Successful Online Communities: Evidence-Based Social Design. MIT Press.
Lemieux, V. l. (2016). Building Trust in Information: Perspectives on the Frontiers of Provenance (Springer Proceedings in Business and Economics)
van Dam K., H., Nicolic, I. (2012). Agent-Based Modelling of Socio-Technical Systems: 9 .Agent-Based Social Systems.
Klaus, D., Geihs, K. (2014). Socio-technical Design of Ubiquitous Computing Systems
Cecconi, F. (2016). New Frontiers in the Study of Social Phenomena: Cognition, Complexity, Adaptation