Luis directs the Complex Systems graduate program in Informatics. He has also served on the permanent staff at Los Alamos National Laboratory and has been part of the research community at the Santa Fe Institute. We asked Luis about his interests in Network Science and about the new Network Science Institute being formed at Indiana University.
In an age of information overload, the ability to make sense of vast amounts of data and to render insightful visualizations is as important as the ability to read and write. The Atlas of Knowledge explains and exemplifies the power of visualizations not only to help locate us in physical space but also to help us understand the extent and structure of our collective knowledge, to identify bursts of activity, pathways of ideas, and borders that beg to be crossed.
Atlas of Knowledge: Anyone Can Map
by Katy Börner
Academic citation practices need to be modernized so that all references are digital and lead to full texts.
Researchers and academics spend a lot of time documenting the sources of the ideas, methods and evidence they have drawn on in their own writings. But Patrick Dunleavy writes that our existing cita…
Lorentz Center Workshop on Socio-Economic Complexity
organized by Stefano Battiston, Andreas Flache, Diego Garlaschelli, Hans Heesterbeek and Cars Hommes.
The workshop starts on 23 May 2015. For further information, please visit the workshop website:
The interactions between Computer Science and the Social Sciences have grown fruitfully along the past 20 years. The mutual benefits of such a cross-fertilization stand as well at a conceptual, technological or methodological level. Economics in particular benefited from innovations in multi-agent systems in Computer Science leading to agent-based computational economics and in return the multi-agent systems benefited for instance of economic researches related to mechanisms of incentives and regulation to design self-organized systems. Created 10 years ago, in 2005 in Lille (France) by Philippe Matthieu and his team, the Artificial Economics conference series reveals the liveliness of the collaborations and exchanges among computer scientists and economists in particular. The excellent quality of this conference has been recognized since its inception and its proceedings have been regularly published in Springer’s Lecture Notes in Economics and Mathematical Systems series. At about the same period, the European Social Simulation Association was created and decided to support an annual conference dedicated to computational approaches of the social sciences. Both communities kept going alongside for the past ten years presenting evident overlaps concerning either their approaches or their members. This year, both conferences have decided to join their efforts and hold a common conference, Social Simulation Conference, in Barcelona, Spain, 1st to 5th September 2014 which will host the 10th edition of the Artificial Economics Conference. In this edition, 32 submissions from 11 countries were received, from which we selected 20 for presentation (near 60 % acceptance). The papers have then been revised and extended and 19 papers were selected in order to make part of this volume.
Nobel-prize winning economist Joseph Stiglitz tells how the financial crisis of 2008 was a perfect storm of market failure. Economists in Action is part of T…
Why should you study economics? And why should you study using our free ebook, The Economy? Sam Bowles of the Santa Fe Institute and member of The CORE Proje…
The question What is Complexity? has occupied a great deal of time and paper over the last 20 or so years. There are a myriad different perspectives and definitions but still no consensus. In this paper I take a phenomenological approach, identifying several factors that discriminate well between systems that would be consensually agreed to be simple versus others that would be consensually agreed to be complex – biological systems and human languages. I argue that a crucial component is that of structural building block hierarchies that, in the case of complex systems, correspond also to a functional hierarchy. I argue that complexity is an emergent property of this structural/functional hierarchy, induced by a property – fitness in the case of biological systems and meaning in the case of languages – that links the elements of this hierarchy across multiple scales. Additionally, I argue that non-complex systems “are” while complex systems “do” so that the latter, in distinction to physical systems, must be described not only in a space of states but also in a space of update rules (strategies) which we do not know how to specify. Further, the existence of structural/functional building block hierarchies allows for the functional specialisation of structural modules as amply observed in nature. Finally, we argue that there is at least one measuring apparatus capable of measuring complexity as characterised in the paper – the human brain itself.
What Isn’t Complexity?
Christopher R. Stephens
Somewhere in the long list of topics that are relevant to astrobiology is the question of ‘intelligence’. Is human-like, technological intelligence likely to be common across …
The six funders of the Centre for Evaluating Complexity across the Energy-Environment-Food Nexus held a ‘bidders launch event‘ on 11 February 2015 in London, for people with an interest in bidding to run the centre.
The Centre will pioneer, test and promote innovative and inclusive methods to analyse evaluations across the energy-environment-food nexus where complexity presents an integral challenge to policy interventions.
Given the enormous amount of new knowledge produced every day, keeping up-to-date on all the literature is increasingly difficult. Peter Kraker argues that visualizations could serve as universal g…