Expert

Zann Gill

Zann Gill (M. Arch. Harvard University, Graduate School of Design) started her career working for Buckminster Fuller, whose concepts of design science and World Game for environmental sustainability prompted her to initiate development of the new discipline of Collaborative Intelligence http://Collaborative-Intelligence.org. Her entry to the international competition, Kawasaki: Information City of the 21st Century, sponsored by the Japan Association for Planning Administration and Mainichi News, with cooperation of ten ministries and three agencies of the Japanese government, tied with Panasonic (then Matsushita Corp.) for first place and won the Award of the Mayor of Kawasaki. She proposed an Innovation Network composed of sixteen initiatives, diverse interlinked components for urban innovation. As Director of the Microbes Mind Forum http://microbes-mind.net, at the nexus of life-like systems and mind she explores bio-inspired computing applications, cross-pollinating ideas from life sciences and computer science/ artificial intelligence to build the new discipline of collaborative intelligence http://Collaborative-Intelligence.org. As a Research Scientist for RIACS (Research Institute for Advanced Computer Science) at NASA Ames Research Center, Gill proposed NASA collaboratory programs, not only as technology platforms, but also as cross-disciplinary, self-improving ecosystems, harnessing principles of self-organization and collaborative intelligence found in living systems. Collaborative intelligence applications are developed through Planet Innovation http://planet-innovation.net and also via consulting on change management and World Class Execution in industry. Recent Publications & Patents Gill, Zann. 2011. Collaborative Intelligence in Living Systems: algorithmic implications of evodevodebates. GECCO 2011. International Conference on Genetic and Evolutionary Computation (combining the 20th International Conference on Genetic Algorithms ICGA and the 16th Annual Genetic Programming Conference. July 12 – 16. Dublin, Ireland. Gill, Zann. 2011. Collaborative Intelligence: from collective anonymity to collaborative autonomy. 8th ACM Conference on Creativity and Cognition. Georgia Institute of Technology in Atlanta, Georgia. November 2-6, 2011. Gill, Zann. 2011. Collaborative Intelligence and Effective Complexity – ICCS 2011 (International Conference on Complex Systems). June 26 – 30. Boston, MA. Gill, Zann. 2011. The A-PR Hypothesis: Autonomy and Pattern Recognition in the Origin and Evolution of Life. Origins 2011, ISSOL (International Society for Study of the Origin of Life) & Bioastronomy Joint International Conference; July 3 - 8 - Montpelier, France Gill, Zann. 2011. LUCA (Last Universal Common Ancestor): A cross-platform, open-source software coding model. Origins 2011, ISSOL (International Society for Study of the Origin of Life) & Bioastronomy Joint International Conference; July 3 - 8 - Montpelier, France Gill, Zann. 2010. Patent. Natural Language Processor, using TRACE or other Cognitive Process Models. United States Patent 7853551 issued December 2010. http://ip.com/patent/US7853551 Gill, Zann. 2009. Multi-Channel System for Profile-Responsive Information Exchange, Updating, Event and Task Management, Request-Response Networks and Distributed Collaboration. Patent pending. Filed June 2009.

MODULE - Collaborative Intelligence / Theory and Applications

Objective

To understand how principles of collaborative intelligence can be applied in practice.

Short description

Three applications to be explored are “effective search” i.e. how can a search engine like Google apply collaborative intelligence principles to converge on optimum search results? “next generation social networks” i.e. how can social networks become problemsolving networks by applying principles of collaborative intelligence? climate change i.e. how can society as a super-organism apply collaborative intelligence principles to examine alternative perceptions of climate change and to improve capacity to adapt and respond to climate change? The discipline of Collaborative Intelligence rests on the foundation of principles manifested in the origin of life, mechanisms of evolution, self-organizing complex systems, and recent findings in neuroscience about the nature of intelligence. Traditional focus on biomimicry of nature’s products needs to be complemented by better understanding of nature’s design methods and their practical applications for entrepreneurship, convergent innovation and ecosustainability. We will examine how principles of collaborative intelligence, derived from living systems, can be applied to promote innovation, learning organizations, and more effective cross-disciplinary, collaborative problem-solving. Students may choose projects within one of the three application domains above or propose another application domain.

Course Structure

This course will consist of two parallel streams: Part 1 – Theory Background research on collaborative intelligence (using online resources); Identification of the problem (or sub-domain of one of the three suggested problems above) for which an application will be developed; Preparation of a paper for presentation and publication; Peer review from the cohort prior to submission to a conference or journal. Part 2 – Application – Project Development Preliminary concept development; Client interaction and further refinement; Project planning and design; Development of a presentation; Production of a demo or mini-implementation. Students will prepare self-evaluations and also evaluate the work of others in the cohort.