Symmetric encryption uses a single shared key for encryption, while asymmetric uses a more complex system of two keys for more security.
When Resolve Consultants were forced to transition from in-person to online workshops, they put their faith in Scriberia's remote digital scribing service.
A visual, organizational map of complex systems science
If you're just starting out in UX, you'll need to learn a lot of important terms and concepts. Here are our top 91. The ultimate UX design glossary!
Find the full course on the Si Network Platform → https://tinyurl.com/4n89knfkA brief overview of complexity science.Complexity science is a new approach or ...
I am working on taking our Xylem system and making into a line of furniture, starting with small stools. I am not sure it the pieces will be CNC routed or cast from 3d prints or perhaps even direc…
THP Perspective: Chronic hunger lies at the center of a nexus of inextricably linked issues. Only by solving these issues together can we solve any of them. (See our 1995 Essay The New Human Agenda…
With problem solving and decision making (different sides of the same coin?) there are different approaches depending on the situation. An approach that works well in one situation can prove…
cynefin framework from Cognitive Edge
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The McDonald's business model is based on profits, which are generated by the company's restaurants being run as largely self-serve enterprises. The restaurants offer a limited menu with a few items and promote fast food as a way of life.
This is how truth becomes known
Incredible things can happen when the right group of people are focused on a shared purpose, when they trust each other, and when they seek out opportunities to support each other’s work. For true…
Model-Based Systems Engineering (MBSE)Top MBSE Training Courses Available Online What is MBSE (Model-Based Systems Engineering) ? Model-Base...
In recent years, parallel developments in disparate disciplines have focused on what has come to be termed connectivity; a concept used in understanding and describing complex systems. Conceptualisations and operationalisations of connectivity have evolved largely within their disciplinary boundaries, yet similarities in this concept and its application among disciplines are evident. However, any implementation of the concept of connectivity carries with it both ontological and epistemological constraints, which leads us to ask if there is one type or set of approach(es) to connectivity that might be applied to all disciplines. In this review we explore four ontological and epistemological challenges in using connectivity to understand complex systems from the standpoint of widely different disciplines. These are: (i) defining the fundamental unit for the study of connectivity; (ii) separating structural connectivity from functional connectivity; (iii) understanding emergent behaviour; and (iv) measuring connectivity. We draw upon discipline-specific insights from Computational Neuroscience, Ecology, Geomorphology, Neuroscience, Social Network Science and Systems Biology to explore the use of connectivity among these disciplines. We evaluate how a connectivity-based approach has generated new understanding of structural-functional relationships that characterise complex systems and propose a ‘common toolbox’ underpinned by network-based approaches that can advance connectivity studies by overcoming existing constraints.
