Conveying scientific content with accuracy and fluency takes practice and requires deep understanding of the concepts being conveyed. This depth of knowledge comes from internalizing information and constructing it into a form that is unique and coherent to the individual. Often in science classrooms there is little or no opportunity for students to practice this type of thinking, activities that we believe are fundamental to effective science communication. This article describes the use of haiku – a 17 syllable poem – as a means for students to convey neurobiological concepts in a succinct manner by forcing them to focus on the most salient features of the observed processes. In our assignments haiku writing was successfully paired with explanations of the students’ thought processes (Addiction course) or the scientific evidence to support claims (Neurodegenerative Disease course). We provide examples of student haiku and explanations as evidence of the power of this approach. The coupling of poetry and prose together create rich, accurate descriptions of scientific phenomena by encouraging higher-order thinking. Poetry writing can thus be used across the curriculum to forge comprehension of complex ideas in any discipline and to bridge the arts and the sciences.
Big Bang cosmology, chemical and biological evolutionary theory, and associated sciences have been extraordinarily successful in revealing and enabling us to understand the development of the universe from the Planck era to the present, as well as the emergence of complexity, life, and consciousness here on Earth. After briefly sketching this amazing story, and the key characteristics of nature, this paper will reflect on the different types and levels of causality involved -- stressing the important and pervasive role of highly differentiated and dynamic relationships and networks of relationships. Philosophical considerations build on and enrich scientific ones to probe these relationships. They also take us beyond the limits of strictly scientific methodology to consider and model -- however inadequately -- the ultimate sources of existence and order. This is the issue of creation, which introduces another very different -- and transcendent -- level of causality. We show that this is compatible with the -- and even essential to -- the causalities operative in nature, including those of quantum cosmology, if we acknowledge the limits of physics.
This lecture was delivered by George Ellis during the 16th Kraków Methodological Conference "The Causal Universe", May 17-18, 2012.
It is generally recognized that life is becoming more complex. This article analyzes the human social environment using the "complexity proﬁle," a mathematical tool for characterizing the collective behavior of a system. The analysis is used to justify the qualitative observation that complexity of existence has increased and is increasing. The increase in complexity is directly related to sweeping changes in the structure and dynamics of human civilization—the increasing interdependence of the global economic and social system, and the instabilities of dictatorships, communism and corporate hierarchies. Our complex social environment is consistent with identifying global human civilization as an organism capable of complex behavior that protects its components (us) and which should be capable of responding eﬀectively to complex environmental demands
Here is a suggestion of the components and sections that commonly go into a scientific paper. Note that none of the sections in between Introduction and References is strictly necessary: here you should adapt the scheme to your own subject and approach, and choose different headings for your sections. For example, theoretical papers will normally not have a "methodology" or "results" section, but are likely to have a more extensive review of the literature, and development of the arguments.
The global spread of epidemics, rumors, opinions, and innovations are complex, network-driven dynamic processes. The combined multiscale nature and intrinsic heterogeneity of the underlying networks make it difficult to develop an intuitive understanding of these processes, to distinguish relevant from peripheral factors, to predict their time course, and to locate their origin. However, we show that complex spatiotemporal patterns can be reduced to surprisingly simple, homogeneous wave propagation patterns, if conventional geographic distance is replaced by a probabilistically motivated effective distance. In the context of global, air-traffic–mediated epidemics, we show that effective distance reliably predicts disease arrival times. Even if epidemiological parameters are unknown, the method can still deliver relative arrival times. The approach can also identify the spatial origin of spreading processes and successfully be applied to data of the worldwide 2009 H1N1 influenza pandemic and 2003 SARS epidemic.
The Hidden Geometry of Complex, Network-Driven Contagion Phenomena Dirk Brockmann, Dirk Helbing
The new science of complex systems will be at the heart of the future of the Worldwide Knowledge Society. It is providing radical new ways of understanding the physical, biological, ecological, and techno-social universe. Complex Systems are open, value-laden, multi-level, multi-component, reconfigurable systems of systems, situated in turbulent, unstable, and changing environments. They evolve, adapt and transform through internal and external dynamic interactions. They are the source of very difficult scientific challenges for observing, understanding, reconstructing and predicting their multi-scale dynamics. The challenges posed by the multi-scale modelling of both natural and artificial adaptive complex systems can only be met with radically new collective strategies for research and teaching (...)
Are we ready to recognize a Science as a "Transdisciplinary Science? Complex systems science is not a science in itself, but it may be considered as a 'Science of Sciences'. I think this is the most challenging issue to face for a Worldwide Knowledge Society, as Paul Bourgine states. What are your opinions about this?
1st Complexity Management Winter Lab - Methods & Tools - «TEORIA DELLA COMPLESSITA’ E ANALISI DELLE RETI» Applicazioni e declinazioni in ambito manageriale Gli innumerevoli modi in cui le str...
Complexity Institute's insight:
La complessità è un nuovo e potente punto di vista sistemico delle relazioni organizzative e di business fondato sulla consapevolezza della interdipendenza delle azioni manageriali e della emergenza bottom-up dei fenomeni aziendali.
In tempi di elevata incertezza è necessario conoscere ed adottare nuove tecniche di governo e di co-solution delle problematiche organizzative. Le organizzazioni si comportano come una rete neuronale. Le persone sono come i neuroni che si collegano tra di loro accendendo pensieri ed emozioni: dalla loro interazione emergono idee, azioni, decisioni, progetti. Non sempre però ci è visibile ciò che sta effettivamente accadendo nella rete organizzativa. Si possono fare errori, scegliere strade sbagliate o impiegare tempi lunghi per decisioni che potrebbero essere più rapide, più consapevoli, meno onerose e più efficaci.
L’analisi di rete è un potente tool per presidiare e modificare con successo ambienti ad elevata complessità.
L'Architettura della Complessità - Per una teoria dei sistemi complessi
Complexity Institute's insight:
Dibattito su: “La Teoria della Complessità”: esiste una teoria della complessità o si tratta piuttosto di più approcci che confluiscono in un’unica visione di insieme? Cosa hanno in comune i frattali con l’orlo del caos, le reti con l’auto-organizzazione, la sincronia con il cigno nero?
Il dibattito sarà condotto da Marinella De Simone – Presidente del Complexity Institute – e da Enrico Reboscio, imprenditore ed appassionato di sistemi complessi.
In this workspace, you can submit your proposal on what you think should be done to address global climate change. Try out new ideas, connect with other members, recruit collaborators, share your work, engage support, and invite a global community to review and help develop your proposal. This is just to get you started. When we release the 2014 round of Climate CoLab contests, you will be able to move your proposals from here to any relevant contest. All submissions are welcome: technologies, policies, products, public outreach campaigns, educational programs, economic models, community projects; new ideas or improvements on something that already exists; addressing climate change mitigation, adaptation, or geoengineering; local, regional, national, or global in scope.
This course will begin on January 6, 2014. If you are enrolled, you will receive email notification that the course has started. In this course you'll gain an introduction to the modern study of dynamical systems, the interdisciplinary field of applied mathematics that studies systems that change over time. Topics to be covered include: phase space, bifurcations, chaos, the butterfly effect, strange attractors, and pattern formation.
Introduction to Dynamical Systems and Chaos (Winter, 2014) Instructor: David Feldman
Math is logical, functional and just ... awesome. Mathemagician Arthur Benjamin explores hidden properties of that weird and wonderful set of numbers, the Fibonacci series. (And reminds you that mathematics can be inspiring, too!
Swarm intelligence is a relatively new discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed many models to explain interesting aspects of social insect behavior such as self-organization and shape-formation. Recently, algorithms inspired by these models have been proposed to solve difficult computational problems. An example of a particularly successful research direction in swarm intelligence is ant colony optimization, the main focus of which is on discrete optimization problems. Ant colony optimization has been applied successfully to a large number of difficult discrete optimization problems including the traveling salesman problem, the quadratic assignment problem, scheduling, vehicle routing, etc., as well as to routing in telecommunication networks. Another interesting approach is that of particle swarm optimization, that focuses on continuous optimization problems. Here too, a number of successful applications can be found in the recent literature. Swarm robotics is another relevant field. Here, the focus is on applying swarm intelligence techniques to the control of large groups of cooperating autonomous robots.
ANTS 2014 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.
L’approccio complesso si potrebbe definire come la ricerca di schemi dentro altri schemi. Per riconoscere gli schemi – o pattern – è necessario avere una visione di insieme: più si va nel dettaglio, più lo schema scompare.
Ad ogni passo della nostra vita ci confrontiamo con i limiti legati alla certezza di un “piano finito” – quello dei saperi esistenti – e di un “tempo chiuso” – quello della prevedibilità. Per poter scoprire, per poter generare il nuovo, occorre avventurarsi al di fuori dei recinti del certo e del prevedibile, essere disposti all’errore ed a nuovi tentativi.
El Centro de Ciencias de la Complejidad (C3) tiene el placer de organizar un evento para un amplio público con ponentes invitados nacionales e internacionales con el objetivo de mostrar los beneficios que el enfoque de la complejidad ha logrado en diversas áreas, incluyendo sistemas biológicos, sociales, culturales y tecnológicos. Durante el evento también se presentarán los distintos programas de investigación que se están desarrollando en el C3 y el proyecto del nuevo edificio del C3 en Ciudad Universitaria. Con este simposio se invita a la comunidad universitaria a participar y colaborar en el desarrollo de proyectos y la resolución de problemas en campos múltiples usando las herramientas que ofrecen las ciencias de la complejidad.
Simposio Complejidad y Multidisciplina El Centro de Ciencias de la Complejidad de la UNAM (4, 5 y 6 de noviembre, 2013) Auditorio Alfonso Caso, Ciudad Universitaria http://c3.unam.mx/simposio
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