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Framework for Our Future

Autor John Knight
en Limba Engleză Paperback – 25 feb 2020
We are routinely reminded of the social and environmental issues pervading the present: pollution, global warming, species extinction, social volatility, fake news, the growing disparity in wealth. These issues prompt us to act but leave us to decide which of the many proposed solutions will deliver the future we hope for. Should we put our faith in technology, innovation, the market? Should we trust science, change our behaviour, adjust our lifestyles? Should we just carry on as usual?
Our decisions will necessarily influence our future.
Framework for Our Future treats our current circumstance as part of a dynamic, complex human-environment system. It describes how we (as individuals), our culture and the environment interact, with feedback, over a wide range of scales to form the humanenvironment system and the constraints this imposes on our lives. It provides a model of the system that helps us to more fully appreciate how we arrived at our current circumstance, our contribution to it, how we change and our views about our possible futures. With this in place, Framework for Our Future asks us to consider an alternative possible future, viability, and suggests how we might gain the wisdom, and make the decisions and changes, to achieve it.
Framework for Our Future is an abridged version of Viability, Complexity and Us: The Framework Constraining Our Future (Knight 2019).
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Specificații

ISBN-13: 9781771803939
ISBN-10: 1771803932
Pagini: 104
Dimensiuni: 152 x 229 x 6 mm
Greutate: 0.16 kg
Editura: Iguana Books

Notă biografică

John Knight is an engineering manager and former director with 17 years of DevOps experience, encompassing 8 different Fortune 500 companies. Lately he focuses on digital transformations and enterprise migrations and wants to redefine what DevOps means for the next 10 years.John is a lifelong learner, holding 8 major Cloud and DevOps certifications, 2 master's degrees and currently working on a third, Computer Science at Georgia Tech, where he hopes to focus on AI and ML and apply the intersection to the next generation of AI/MLOps.Outside of work John spends time with his wife and 4 kids, enjoys streaming his favorite series, playing video games and doing fun projects, like Legos, Robots and Raspberry Pis