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Trends in programming language development and adoption point to Python as the high-level systems integration language of choice. Python leverages a vast developer-base external to the Neuroscience community, and promises leaps in simulation complexity and maintainability to any neural simulator which adopts it. As more and more simulators support Python, model development times can be drastically reduced by promoting code sharing and reuse across simulator communities. As a result, modellers can devote their software development time to innovating new simulation tools such as network topology databases, stimulus programming, analysis and visualisation tools, and simulation accounting, to name a few.

The NeuroCommons project seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as useable as they can be. We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources. Our work covers general data and knowledge sources used in computational biology as well as sources specific to neuroscience and neuromedicine. The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.

Bringing Wisdom to Emerging Technology We are at an amazing and critical juncture in human history. If we continue on our current path, we face many potential disasters: overpopulation, shortages of water, oil, and raw materials, financial instability, disease, terrorism, war, and the destruction of species and ecosystems (eg. see Jeffrey Sachs "Common Wealth: Economics for a Crowded Planet"). But the next few decades will also bring advances in science and technology which may dramatically improve our lives. It is remarkable that we are simultaneously on the verge of major revolutions in biology, neuroscience, psychology, artificial intelligence, nanotechnology, and fundamental physics.

While Montague isn't ready to share the results - he's still gathering data - what he's found so far is, he says, "stunning, shocking even…. For me the lesson has been that people act very badly in groups. And now we can see why."

SWAN (Semantic Web Applications in Neuromedicine) is a project to develop knowledge bases for the neurodegenerative disease research communities, using the energy and self-organization of that community enabled by Semantic Web technology. Created in collaboration with the Alzforum and other partners. Read more about the SWAN project here.