![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Social systems theory at Cambridge > Niklas Luhmann Reading Group: Session 4.2
![]() Niklas Luhmann Reading Group: Session 4.2Add to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Professor Steffen Roth. We are pleased to invite you to a reading group focused on the work of Niklas Luhmann, taking place on Monday, 20 May at 13:00. The session will explore Luhmann’s social systems theory which reconceptualises society not as a collection of individuals, but as a self-referential system of communication. “Society is often imagined as a collective of acting and interacting individuals. Social order, in this view, emerges from the coordinated actions of human beings. Niklas Luhmann’s social systems theory inverts this intuition. In his framework, society is the encompassing system of communication—and nothing but communication. Persons, accordingly, are not the source but the products of communication, while action is the attribution of communication to these very products of communication.” We’re delighted to announce introductory talks by Professor Steffen Roth (Excelia Business School La Rochelle & Wolfson College, University of Cambridge), after which we’ll hold intensive discussions of the key ideas. Recommended background reading: Luhmann, N. (1995). Social Systems. Stanford University Press.Chapter: Communication and Action (pp. 137–175) This talk is part of the Social systems theory at Cambridge series. This talk is included in these lists:Note that ex-directory lists are not shown. |
Other listsCambridge Area Sequencing Informatics Meeting VI (2014) CMS seminars Cambridge Rare Disease NetworkOther talksAlgebraic models of rational circle-equivariant spectra (spectra, commutative ring spectra, equivariantly commutative ring spectra) Poster Session Fortitude: A Modern Fortran Linter Bayesian inference and uncertainty quantification in non-linear inverse problems with Gaussian priors Mean and PGA for time series : the signature method answer! Title TBC |