Jessie Henshaw: Difference between revisions

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|interests=(devl) ISSS SIG Chair, Natural Systems Design Sci.
|interests=(devl) ISSS SIG Chair, Natural Systems Design Sci.
|degrees= BS Physics, M.Arch, 40 years of fieldwork
|degrees= BS Physics, M.Arch, 40 years of fieldwork
|fields= A contextual form of physics, system design
|fields= A form of physics, a "New Physics," for studying the material designs of natural systems in-context.
|universities= St. Lawrence, Stoney Brook, Columbia, Univ. Pa.
|universities= St. Lawrence, Stoney Brook, Columbia, Univ. Pa.
|specializations= fieldwork and teaching
|specializations= fieldwork and teaching
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''Jessie Lydia Henshaw''
''Jessie Lydia Henshaw''
Today, Jessie is an empirical systems scientist and consultant. She uses her physics and design science to study self-animating systems in context, i.e., "natural systems." Early on, she noticed that theory and data might get it all wrong, but their contrast with nature, instead, helps a lot with reading nature’s direct signals of design and change. Today, we need that to help us recover enough of our most ancient skills, still deep within us, to help us with reading our environments in increasing chaos; something we did, it seems.
Today, Jessie is an empirical systems scientist and consultant. She uses her physics to help illuminate the designs of nature in context, opening a viable path for science to begin studying self-animating systems of nature as physical subjects in context, i.e., "natural systems." Early on, she noticed that theory and data might get it all wrong, but that contrast could also illuminate the world of natural system designs too. After all, it is reading nature’s signals of design and change that we rely on to get along today, too, as humans did throughout our long evolution.  


Emerging systems display what animates their growth if we pay attention. They capture energy and resources to multiply their starting designs. That burst of growth in an emerging system may either just fail by itself or adapt to keep going as it collides with one new context after another and its limits. If those encounters trigger the right response, the new design will follow the ubiquitous “S” curve kind of growth path and adaptation ending in perfected designs with an enduring climax. As humanity pushes our world to its greatest designs, we are making ever more hasty, short-lived, and disorderly designs, i.e., utter chaos.  
She relies on developing a sensitivity to change in environmental contexts and learning to expand on the readily observable signals of change as the weather changes, as relationships and cultures change, and as nature changes. Watching Emerging systems helps one find what signals of change in their worlds determine how they will steer their paths and transform. You see in the smoke rising above the candle a system of flow that is very organized and can abruptly become very disorganized. The tipping points for these kinds of transformations are often quite similar, so understanding one helps one understand many others.  
 
Emerging systems all capture energy and resources to multiply their starting designs. So, how they fit or don't fit that model is the first step into real science. That burst of growth may either just fail by itself or, as an exploratory system, it may adapt to keep finding new and bigger resources. That will, of course, collide with new contexts that don't support that, but one also observes some systems that sense the approach of their limits and respond before disruptively hitting them. It's a common trait of self-organizing systems in general.  
 
That is also what seems to be going on inside the systems that display the ubiquitous “S” curve growth path, from energetic take-off to reorganizing to achieve a smooth landing at the practical new scald for the context. The study of such behaviors draws you into a holistic awareness of their whole world behaving almost like one.


[[File:GrowthSysIntegral.jpg|thumb|center|alt=Stages of system self-organizationan|A guide to the normal sequence of tipping points, stages of growth and adaptation that punctuate emergence]]
[[File:GrowthSysIntegral.jpg|thumb|center|alt=Stages of system self-organizationan|A guide to the normal sequence of tipping points, stages of growth and adaptation that punctuate emergence]]

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