1 The root cause of today’s global crises originates between our ears — in our outdated paradigms of economic thought
2 The blind spot of modern economic thought can be summarized with a single word: consciousness
3 The evolution of the economy and of modern economic thought mirrors the footprints of an evolving human consciousness
4 To paraphrase Einstein, the problem with today’s capitalism is that we are trying “to solve problems with the same consciousness that created them
5 ”Helping stakeholder systems shift their way of operating from ego-system to eco-system awareness is the central leadership challenge of our time
6 The shift from ego-system to eco-system awareness requires a journey that involves walking in the shoes of other stakeholders and attending to the three instruments of inner knowing: open mind, open heart, and open will
7 Addressing the current global crisis at its root calls for a 4.0 update of the economic operating system through reframing eight “acupuncture points” of the global economic system
8 Shifting the system to 4.0 requires a threefold revolution
9 We need new types of innovation infrastructures in order to build collective leadership capacities on a massive scale
10 The shift from an ego-system to an eco-system economy requires a global movement that needs to be supported by a new leadership school. That school should create collaborative platforms across sectors, systems, and generations and work through integrating science, art, and the practice of profound, awareness-based change
Phillip Trotter's insight:
thought provoking and potentially a useful discussion framework.
A few things the Symbol Research team are reading. Complex Insight is curated by Phillip Trotter (www.linkedin.com/in/phillip-trotter) from Symbol Research
Theme issue ‘Emergent phenomena in complex physical and socio-technical systems: from cells to societies’
When a large number of similar entities interact among each other and with their environment at a low scale, unexpected outcomes at higher spatio-temporal scales might spontaneously arise. This non-trivial phenomenon, known as emergence, characterizes a broad range of distinct complex systems—from physical to biological and social—and is often related to collective behaviour. It is ubiquitous, from non-living entities such as oscillators that under specific conditions synchronize, to living ones, such as birds flocking or fish schooling. Despite the ample phenomenological evidence of the existence of systems’ emergent properties, central theoretical questions to the study of emergence remain unanswered, such as the lack of a widely accepted, rigorous definition of the phenomenon or the identification of the essential physical conditions that favour emergence. We offer here a general overview of the phenomenon of emergence and sketch current and future challenges on the topic. Our short review also serves as an introduction to the theme issue Emergent phenomena in complex physical and socio-technical systems: from cells to societies, where we provide a synthesis of the contents tackled in the issue and outline how they relate to these challenges, spanning from current advances in our understanding on the origin of life to the large-scale propagation of infectious diseases.
Louis M. Shekhtman, Alexander J. Gates, Albert-László Barabási While philanthropic support plays an increasing role in supporting research, there is limited quantitative knowledge about the patterns that characterize the distribution of philanthropic support. Here, we map philanthropic funding to universities and research institutions based on IRS tax forms from 685,397 non-profit organizations. We identify nearly one million grants supporting institutions involved in science, finding that in volume and scope, philanthropic funding is comparable to federal research funding. However, whereas federal funding relies on a few large organizations to distribute grants, the philanthropic ecosystem's support is fragmented among a large number of funders with diverse focus that support research institutions at varying levels. Furthermore, we find that distinct from government support, philanthropic funders tend to focus locally, indicating that other criteria, beyond research excellence, play a role in their funding decisions. We also show evidence of persistence, i.e., once a grant-giving relationship begins, it tends to continue in time. Finally, we discuss the policy implications of our findings for philanthropic funders, individual researchers, the science of science, and for quantitative studies of philanthropy in general.
This special technology guide from Dell Technologies and AMD will take a closer look at some of the biggest disruptors affecting energy companies, and also examine how big data analytics can help these firms reduce risk, drive down costs, and improve efficiency.
Phillip Trotter's insight:
13 ways that big data analytics is helping energy companies manage the current level of disruption
In this article, we will cover the basics of the tensors.
Phillip Trotter's insight:
Now tensors are just generalised n-dimensional arrays with a single datatype. They are are not new - (hint 1980's BASIC had them as did Fortran way before that though modern api's are much nicer to use) but they are essential to understanding much of modern data science especially Python/Numpy based approaches. A good quick primer, for those either new to the field or for those old engineering hands who want to map their understanding and terminology from Fortran/ C++ / Matlab/ Euler / Mathematica etc to python data science approaches. Recommended.
Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.
Phillip Trotter's insight:
WE do a fair bit of reinforcement learning at Symbol Research so it is always good to come across useful resources we can recommend. HuggingFace make a lot of deep learning models easily accessible and recently launched a new RL training course. From a glance it looks similar to courses available from Udacity and others - but if you are looking for a course, with an easy to use Python API - HuggingFace will be a good starting point. Recommended.
The new substance is the result of a feat thought to be impossible: polymerizing a material in two dimensions. Using a novel polymerization process, MIT chemical engineers have created a new material that is stronger than steel and as light as plastic, and can be easily manufactured in large quan
Phillip Trotter's insight:
The challenge with any new material is turning it from research into production and manufacturing at scale (and as we learn from plastics - understanding its long term environmental impact)- however the insights from a new polymerization process developed at MIT promises some interesting developments if these challenges can be overcome.
Browse the GTC conference catalog of sessions, talks, workshops, and more.
Phillip Trotter's insight:
The good folks at NVIDIA have made the recent 324 GTC conference sessions freely available. With topics like Omniverse, Bots, Digital Twins, Autonomous Vehicles and extensive applications of AI , visualization and simulation from experts around the world. They are worth watching and investigating. Enjoy (and thanks NVIDIA!!)
Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As retirements, mass quarantines and absence due to sickness during pandemics, or other shocks thin out these networks, the system might be pushed closer to a tipping point where...
Phillip Trotter's insight:
A very interesting ABM based approach for a stress-testing framework that could enable health authorities to rapidly identify bottlenecks in access to care and assess a healthcare networks resilience in the face of emergent situations. Well worth reading and investigating further.
Our global population is expected to hit 10 billion by 2050. Feeding the world without destroying the planet will mean farming smarter.
Phillip Trotter's insight:
If you have not grown up or worked around farming - it may not at first seem high tech.. but it is (for example effective fertilizers and soil health encompass chemistry, ecology and biology and even basic equipment means mechanics, engineering, and control systems) and its about to become a lot more so - and that is not just the equipment such as robotic tractors that are making headlines but the entire approach to what we consider farming is at the early stages of a quiet revolution. CBC's Feeding the future article gives a great insight into some of the changes we need to make and some of the changes being attempted.
Deep-learning algorithms such as AlphaFold2 and RoseTTAFold can now predict a protein’s 3D shape from its linear sequence — a huge boon to structural biologists.
Genetic networks mimic electronic circuits to perform a range of logic functions. Equipped with a series of eight small test tubes, the device glows green when it detects a contaminant. The number of tubes that glow depend upon how much contamination is present. If only one tube glows, then the w
In this article, we will learn how to create a similar yet more customized plot using my favorite geovisualization package, Folium.I will also show you how to use the “Marker Cluster” feature of…...
Phillip Trotter's insight:
This has been a really good series of articles on interactive GIS visualization - definitely worth reading
Zolgensma is a revolutionary gene therapy that can stop a deadly childhood condition called SMA in its tracks.It’s also one of the most expensive drugs in the world...
Rafael Prieto Curiel, Humberto González Ramírez, and Steven Bishop
Front. Phys., 16 June 2022
A tragedy of the commons is said to occur when individuals act only in their own interest but, in so doing, create a collective state of a group that is less than optimal due to uncoordinated action. Here, we explore the individual decision-making processes of commuters using various forms of transport within a city, forming a modal share which is then built into a dynamical model using travel time as the key variable. From a randomised start in the distribution of the modal share, assuming that some individuals change their commuting method, favouring lower travel times, we show that a stable modal share is reached corresponding to an equilibrium in the model. Considering the average travel time for all commuters within the city, we show that an optimal result is achieved only if the direct and induced factors and the number of users are equal for all transport modes. For asymmetric factors, the equilibrium reached is always sub-optimal, leading to city travel trajectories being “tragic”, meaning that individuals choose a faster commuting time but create a slower urban mobility as a collective result. Hence, the city evolves, producing longer average commuting times. It is also shown that if a new mode of transport has a small baseline commuting time but has a high induced impact for other users, then introducing it might result in a counter-intuitive result producing more congestion, rather than less.
Interesting study of transportation models and traffic congestion with a key insight being when being when individuals choose a faster commuting time their decision can often contribute to creating a slower urban mobility as a collective result m- something many of us experience daily.
Gearing up to go full stack, firm spends time on standards, open-source communities...
Phillip Trotter's insight:
NVIDIA is getting involved in standards for parallelization of compute at language level - this is likely a very good thing (and it won;t hurt them selling hardware either).
A simple guide to reinforcement learning for a complete beginner. The blog includes definitions with examples, real-life applications, key concepts, and various types of learning resources.
Phillip Trotter's insight:
Need a quick intro to Reinforcement Learning but don't have time to work though the HuggingFace course highlighted in our other post -then - take this quick primer from KDNuggets - and work through the related materials. You will be up to speed in no time. Recommended.
AI is sending up the Bat-signal and synthetic data is answering the call for more robust, powerful, and less-biased AI systems.
Phillip Trotter's insight:
Not sure about the batman link - but interesting article on use of synthetic data. At Symbol we use simulations to generate synthetic data sets for some of our AI training and it makes otherwise impossible tasks possible. Good intro article.
Watch the replay of our keynote presentation from the State of Unreal 2022 livestream.
Building on the momentum and excitement of the past two years with ‘Lumen in the Land of Nanite’, ‘Valley of the Ancient Early Access’, ‘The Matrix Awakens: An Unreal Engine 5 Experience’, we’re excited to announce the full release of UE5!
In this keynote, we explore what you can expect to find in the release—and why it’s going to be a game-changer for the industry. Want to learn more about Unreal Engine 5? Download the release for free, and explore the new features, sample projects, and learning resources: https://unrealengine.com/state-of-unreal
Having spent several years working with teams to build 3d game engines, and then applying that technology to accelerate multiple industries, its truly great to see what Epic are doing with Unreal 5. Unreal Engine 5 is now available to any one and the keynote clearly illustrates why this is exciting. Worth watching.
Nations compete on speed using very different compute architectures.
Phillip Trotter's insight:
Some great insights on the evolving supercomputer market and approaches as chiplet architectures get adopted and promise to deliver significantly improved speeds and capabilities on the next generation of machines - there are a lot of implications for simulation and scientific software developers. Well worth a read.
The role of visualization in artificial intelligence (AI) gained significant attention in recent years. With the growing complexity of AI models, the critical need for understanding their inner-workings has increased.
Phillip Trotter's insight:
Call for papers using visualization for explaining AI models.
Important dates:
July 22, 2022, anywhere: Explainables Submission
August 22, 2022: Author Notification
October 16th or 17th, 2022 -- Workshop in Oklahoma City at IEEE VIS
We present the Infobiotics Workbench (IBW), a user-friendly, scalable, and integrated computational environment for the computer-aided design of synthetic biological systems. It supports an iterative workflow that begins with specification of the desired synthetic system, followed by simulation and …
Through synthetic biology, scientists can add novel functions to cells, such as the ability to produce new materials or detect and respond in specific ways to diseases. Though the applications are exciting, the process suffers from some inefficiencies—one of which Stanford University chemical engineer Xiaojing Gao is working to avoid.
Elena Renken's has written an excellent article for Quanta Magazine on cell self generated gradients that guide cell migration. There are several implications for modeling and simulating cellular mechanisms and especially cancer cell migration. Very much worthwhile reading and following up on the related research.
Exclusive: Experts say the $150m project, due to be de-orbited next year, provides vital data on forests and the carbon stored in them...
Phillip Trotter's insight:
As we increasingly rely on space infrastructure to inform environmental policy, the questions quickly arise on how we fund development and maintenance of essential infrastructure.
To get content containing either thought or leadership enter:
To get content containing both thought and leadership enter:
To get content containing the expression thought leadership enter:
You can enter several keywords and you can refine them whenever you want. Our suggestion engine uses more signals but entering a few keywords here will rapidly give you great content to curate.
Your new post is loading...
thought provoking and potentially a useful discussion framework.