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Experiment Canvas Template

Leapfrogging

It is widely used in agile innovation, design thinking, lean startup, and product development methodologies. By documenting each experiment and its outcomes, teams build a knowledge base that can inform future initiatives and reduce repeated mistakes. This encourages a culture of evidence-based decision-making.

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Building out our innovation ecosystem in design and thinking

Paul Hobcraft

It moves from many “strands” of systems into one of building on one “single point of reference” that ecosystems achieve by being built and designed for a more cohesive set of innovation activities. It is knowledge-based and well-grounded.

Design 208
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Please, we need a different Innovation narrative

Paul Hobcraft

It is knowledge-based and well-grounded. It is this recognition that today, innovation rarely succeeds in isolation to achieve real, lasting impact but needs this growing dependent type of complementary innovation that ecosystem design provides. What is needed is something more radical and cohesive than we presently have.

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Cultivating a Culture of Innovation: The Path to Transformation

Leapfrogging

Moreover, providing platforms for continuous learning and knowledge sharing, such as internal knowledge bases or regular ‘lunch and learn’ sessions, can be highly beneficial. These practices aim to embed innovative thinking into your organizations DNA and encourage a continuous cycle of development and improvement.

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The Lean Scale-Up: Innovation & Entrepreneurship for New Ventures

Open Innovation EU

Innovation is almost always focused on information, is knowledge-based, complex and customized – which shortens the time to market and increases first mover advantages. Roca wrote a pretty good article about that a while ago: from the sandbox to the hive ( Model for Organization Design, Roca ). Simply beautiful.

LEAN 75
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Society 2045’s Sustainable Economy

Tullio Siragusa

He did a conceptual design of environmental economics and Landis planning knowledge base for designing sustainable economies. He also did a comprehensive design lecture course by Buckminster Fuller. The Vision.

Design 118
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Siri, Chess, and Prostheses

Boxes and Arrows

We expanded our concepts to expert systems, knowledge engineering, neural networks, and so on. The subsequent knowledge-based models of thought are nothing short of amazing. Human-centered computing is somewhat bringing all that together by combining intelligent systems, human-computer interaction, and contextual design.