Problem Framing Expertise in Public and Social Innovation
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TLDR
In this paper, the authors investigate how five public and social innovation agencies adapted and used the core design practice of problem framing to address complex problems in society, by applying systemic design principles, pursuing multiple solutions and problem frames, and operationalizing wider research and thinking methods.About:
This article is published in She Ji: The Journal of Design, Economics, and Innovation.The article was published on 2019-03-01 and is currently open access. It has received 19 citations till now. The article focuses on the topics: Framing (social sciences) & Operationalization.read more
Citations
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Governing Complexity: Design Principles for the Governance of Complex Global Catastrophic Risks
Julia Kreienkamp,Tom Pegram +1 more
TL;DR: In this paper, the authors argue that existing global governance structures are not fit for purpose when it comes to addressing complex global catastrophic risks (CGCRs) such as climate breakdown, ecosystem collapse, or parasitic artificial general intelligence.
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The Evolution of “Co-evolution” (Part I): Problem Solving, Problem Finding, and Their Interaction in Design and Other Creative Practices
TL;DR: What the different concepts of design co-evolution are, how they have been modified and what they are related to are examined, leading to questioning the distinction between problems and solutions, defining them in relative terms, and drawing a connection between design co -evolution and design fixation.
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The challenging role of policy labs in public sector organizations: designing for more responsive systems (or organizations)
TL;DR: The design discipline has emerged as a discipline equipped to tackle the complex problems of the 21st century, primarily for its human-centered and experimentation approach and participative qualities as mentioned in this paper.
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The Learning Sciences Framework in Educational Leadership
TL;DR: In this paper, a literature review of the trends in leadership decision-making models (data-based; context; distributed; transformative; goal-oriented, results-oriented) was conducted to determine why knowledge from the learning sciences has not had a greater impact on educational policy.
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Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies
TL;DR: In this article , the authors argue that AI algorithms should also be co-designed with patients and healthcare workers, and they propose a framework, case studies, best practices, and tools for applying participative data science to healthcare.
References
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TL;DR: The case study research design and methods is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can download it instantly.
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Designerly ways of knowing
TL;DR: In this article, the authors take up the arguments for a "third area" of education (design) that were outlined by Archer, and further define this area by contrasting it with the other two (sciences and humanities) and consider the criteria which design must satisfy to be acceptable as a part of general education.
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Creativity in the design process: co-evolution of problem–solution
CH Kees Dorst,Nigel Cross +1 more
TL;DR: From the protocol data, aspects of creativity in design related to the formulation of the design problem and to the concept of originality are identified and a model of creative design as the co-evolution of problem/solution spaces is applied, confirming the general validity of the model.