Table of contents
About this book
This book introduces a Digital Social System Praxis Framework (DSSPF) integrating Computational Media, Evolutionary Systems Thinking and Design Thinking approaches to E-transformation practice, also called Community Informatics Design (CID). The DSSPF framework is intended to create communication spaces dedicated to knowledge production and sharing for social and organizational change. It allows social systems researchers and practitioners to recognize their synergistic roles in the praxis process to shape their future through social innovation projects. This transdisciplinary text provides potential students and practitioners fundamental concepts and tools for such design. It offers resources from the Pragmatic and Systemic philosophy of science for the co-construction of social architectures and infrastructures, and multi-aspectual design methodologies by which government, organizations and civil society can learn to ethically co-design common ground. This approach provides complementary and common patterns from known methods, models, and theories of social systems interventions that could support a generic framing of large scale sociotechnical systems: digital social innovation ecosystem, living Labs, Fab Labs, enterprise collaborative networks.
There will be a particular focus on understanding and addressing the dimensions that make people from different communities of practice able to communicate and collaborate through multiple digital media, design platforms, worldviews and modeling approaches.
digital social system praxis framework DSSPF sharing for social change knowledge production spaces scientific approach to collaborative design Computer Aided Community Informatics Design System CACIDS Generic Design Science of Social Systems building large scale sociotechnical systems Applied Community Informatics Labs (ACIL)
- DOI https://doi.org/10.1007/978-3-319-65373-0
- Copyright Information Springer International Publishing AG 2017
- Publisher Name Springer, Cham
- eBook Packages Computer Science
- Print ISBN 978-3-319-65372-3
- Online ISBN 978-3-319-65373-0
- Series Print ISSN 2197-8832
- Series Online ISSN 2197-8840
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