Earth System Dynamic Intelligence with Quantum Technologies: Seeing the “Invisible”, Predicting the “Unpredictable” in a Critically Changing World

2021 ◽  
Author(s):  
Rui A. P. Perdigão
Keyword(s):  
Information Technologies ◽  
Complex Problem ◽  
Warning Signs ◽  
System Dynamic ◽  
Stochastic Dynamic ◽  
Earth System ◽  
Dynamic Prediction ◽  
Information Theoretic ◽  
Hybrid Approaches ◽  
Changing World

We hereby embark on a frontier journey articulating two of our flagship programs – “Earth System Dynamic Intelligence” and “Quantum Information Technologies in the Earth Sciences” – to take the pulse of our planet and discern its manifold complexity in a critically changing world. Going beyond the traditional stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid approaches to information and complexity, the underlying fundamental science ignites disruptive developments empowering complex problem solving across frontier natural, social and technical geosciences. Taking aim at complex multiscale planetary problems, the roles of our flagships are put into evidence in different contexts, ranging from I) Interdisciplinary analytics, model design and dynamic prediction of hydro-climatic and broader geophysical criticalities and extremes across multiple spatiotemporal scales; to II) Sensing the pulse of our planet and detecting early warning signs of geophysical phenomena from Space with our Meteoceanics QITES Constellation, at the interface between our latest developments in non-linear dynamics and emerging quantum technologies.

Earth System Dynamic Intelligence - ESDI

2021 ◽  
Author(s):  
Rui A. P. Perdigão
Keyword(s):  
Information Technologies ◽  
Complex Problem ◽  
System Dynamic ◽  
Stochastic Dynamic ◽  
Earth System ◽  
Dynamic Information ◽  
Information Theoretic ◽  
Hybrid Techniques ◽  
Process Understanding ◽  
Shed Light

Earth System Dynamic Intelligence (ESDI) entails developing and making innovative use of emerging concepts and pathways in mathematical geophysics, Earth System Dynamics, and information technologies to sense, monitor, harness, analyze, model and fundamentally unveil dynamic understanding across the natural, social and technical geosciences, including the associated manifold multiscale multidomain processes, interactions and complexity, along with the associated predictability and uncertainty dynamics. The ESDI Flagship initiative ignites the development, discussion and cross-fertilization of novel theoretical insights, methodological developments and geophysical applications across interdisciplinary mathematical, geophysical and information technological approaches towards a cross-cutting, mathematically sound, physically consistent, socially conscious and operationally effective Earth System Dynamic Intelligence. Going beyond the well established stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid techniques, ESDI paves the way to exploratory and disruptive developments along emerging information physical intelligence pathways, and bridges fundamental and operational complex problem solving across frontier natural, social and technical geosciences. Overall, the ESDI Flagship breeds a nascent field and community where methodological ingenuity and natural process understanding come together to shed light onto fundamental theoretical aspects to build innovative methodologies, products and services to tackle real-world challenges facing our planet.

Integrated earth system dynamic modeling for life cycle impact assessment of ecosystem services

2014 ◽  
Vol 472 ◽  
pp. 262-272 ◽  
Author(s):  
Damien Arbault ◽  
Mylène Rivière ◽  
Benedetto Rugani ◽  
Enrico Benetto ◽  
Ligia Tiruta-Barna
Keyword(s):  
Life Cycle ◽  
Ecosystem Services ◽  
Impact Assessment ◽  
Dynamic Modeling ◽  
Life Cycle Impact Assessment ◽  
System Dynamic ◽  
Earth System ◽  
Life Cycle Impact

scholarly journals Attitudes towards Sexual Behaviour among Young People

2018 ◽  
Vol 10 (4) ◽  
pp. 15-22
Author(s):  
M.A. Konina
Keyword(s):  
Sexual Behavior ◽  
Young People ◽  
Parenting Styles ◽  
Information Technologies ◽  
New Technologies ◽  
Self Regulation ◽  
Complex Problem ◽  
Sexuality Research ◽  
Family Structures ◽  
And Behavior

At the center of psychology of sexuality research problematics of the first decades of the twenty first century was the influence of information technologies and virtualization of culture on the weakening of restraint in sexual behavior. Promiscuous sexual behavior is associated with the demise of traditional family structures and marriage institutions, resuling in increasing health risk on the national scale. The risk group that calls for special attention is young people who are most actively using new technologies and at the same time experiencing a lack of skills in the area of emotional and behavior regulation. Researches in this area try to identify factors behind youth promiscuity: a link between such behavior and increased environmental stresses and unsafe parenting styles have been established. Studies in recent years have, for the first time, revealed a link between the unrestricted use of communication technologies and the choice of promiscuous sexual behavior among young people. It was also established that such sexual behavior was linked to distress, increased risks of sexual harassment and harm to physical health in this age group. The data obtained in these recent studies indicate the presence of a complex problem associated with the psychosexual development of young people, set the task of possible ways to regulate as well as foster self- regulation of sexual behavior adolescence.

scholarly journals Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems

Econometrics ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 46
Author(s):  
George Judge
Keyword(s):  
Stochastic Dynamics ◽  
Economic Behavior ◽  
Stochastic Dynamic ◽  
Information Theoretic ◽  
Interacting Agents ◽  
Income Data ◽  
Micro Level ◽  
Power Divergence ◽  
Statistical Systems ◽  
Behavior Systems

In this paper, we borrow some of the key concepts of nonequilibrium statistical systems, to develop a framework for analyzing a self-organizing-optimizing system of independent interacting agents, with nonlinear dynamics at the macro level that is based on stochastic individual behavior at the micro level. We demonstrate the use of entropy-divergence methods and micro income data to evaluate and understand the hidden aspects of stochastic dynamics that drives macroeconomic behavior systems and discuss how to empirically represent and evaluate their nonequilibrium nature. Empirical applications of the information theoretic family of power divergence measures-entropic functions, interpreted in a probability context with Markov dynamics, are presented.

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