What are the cause and effect of my actions? How do I know the effect of the small acts in my life? How can I identify opportunities to have impact that is much larger than myself? How can we make problems that seem overwhelmingly complex feel more manageable and knowable? How might we use the scaling tools of designers to tackle some of the world’s largest and most complex problems?
To answer these questions, we talked with Jamer Hunt about his book Not to Scale: How the Small Becomes Large, the Large Becomes Unthinkable, and the Unthinkable Becomes Possible. The book repositions scale as a practice-based framework for navigating soci al change in complex systems. Jamer is Professor of Transdisciplinary Design and Program Director for University Curriculum at the New School’s Parsons School for Design. Jamer was the founding director of the Transdisciplinary Design graduate program at Parsons that was created to emphasize collaborative design-led research and a systems-oriented approach to social change.
We’re big fans of Jamer’s book and have incorporated his concept of scalar framing into our work. We encourage you to check his book out as well and see how zooming in and out can help you frame complex problems in a way that makes them more addressable.
Learn more about Jamer Hunt
Learn more about Jamer’s book Not to Scale
Learn more about the Transdisciplinary Design program at Parsons
Watch the Powers of Ten by Charles & Ray Eames
About Artficiality from Helen & Dave Edwards:
Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.
We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives.
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