Collaborative Intelligence

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A-PR Hypothesis


complementarity needed for
collaborative intelligence

Subjectivity – our diverse
POVs and interpretations

Objectivity – the facts of
the world we interpret


American Geophysical Union
American Geological Inst.

Desert Research Institute
Global Science Gateway

Historical Maps
Microbes–Mind Forum
Planet Innovation
Scripps Institute for

USGS - Earth Explorer
USGS - Search

von Ahn on Human

AI Conferences
Animating Time Data
Climate Collab
Darwin papers
Do Some Good
EO Wilson Foundation
Geo-tagger's World Atlas
Howe on Crowdsourcing
Innovation Networks
Kelly - Hivemind
Kirschner Lab
London Open Street Map
Los Alamos – Symbiotic
Mechanical Turk
MIT Center for
Collective Intelligence

Recommender Systems
SETI @ Home
Turner Fieldwork
Vinge on Singularity
Wall Street Journal

Paul Ehrlich Humanity on a Tightrope
Ehrlich - Humanity
on a Tightrope

Kevin Kelly What Technology Wants
Kelly – What
Technology Wants

Bert Holldobler and EO Wilson Superorganism

J Scott Turner The Tinkerer's Accomplice J Scott Turner The Extended Organism Jerry Fodor & Massimo Piattelli-Palmarini - What Darwin Got Wrong Jerry Fodor & Massimo Piattelli-Palmarini - What Darwin Got Wrong Marc Kirschner and John Gerhart - The Plausibility of Life Eva Jablonka and Marion Lamb Evolution in Four Dimensions Mary Jane West Eberhard Developmental Plasticity and Evolution Derek Hansen, Ben Schneiderman, and Marc Smith - AnalyzIng Social Networks with Node XL Derek Hansen, Ben Schneiderman, and Marc Smith - AnalyzIng Social Networks with Node XL

Geo-aware systems & collaborative intelligence

Digital Earth Systems, integrating science, visualization and environmental monitoring for decision support can harness geo-aware systems, combined with the internet, mobile technologies, and social networks, to offer new potential for game-like approaches to problem-solving.


Research Question. How can satellite imagery, visualization and decision support tools integrate specialized scientific findings and cross-disciplinary tradeoffs into a framework for decision-making on complex environmental problems?

Problem. To integrate knowledge and tools into decision support frameworks that overcome disciplinary silos, enabling cross-disciplinary teams more effectively to address complex environmental problems referenced to geodata and supported by visualization.

Objective. To enable a range of stakeholders to share expertise, different interpretations of data, and resources toward addressing regional ecosystem challenges.

Collaborative Intelligence Framework. A system designed to evolve as new data is added, with capacity for Embedded Continual Assessment to channel its evolution, and its potential for customization on a project-by-project basis to serve project-focused teams needs to be developed.

Applying Geo-Data in Regional Innovation. The practical application of a geo-referenced system to support regional innovation and need for a geo-data library structure designed for access by cross-disciplinary teams engaged in ecosystem forecasting and planning needs further work.

How maps can serve as accessible user interfaces for large, distributed project teams and how capacity to geo-link problem data on the fly can more effectively support cross-disciplinary fusion, process-tracking, and collaboration to address multi-faceted ecosystem challenges could address complex applications, such as economic markets and environmental sustainability, which offer avenues to explore the potential of gaming as a serious tool for problem-solving. Ideas currently being explored in the complex adaptive systems community, the Internet, ubiquitous mobile computing, and social networks now make it possible to implement “serious games” as vehicles to harness game methods to environmental sustainability problems. Geo-aware technologies are proliferating for
• data gathering;
• emergency preparedness (earthquakes, fires, storms etc.)
• gaming;
• health monitoring;
• lifestyle gadgets;
• marketing;
• prediction of local potential in diverse domains;
• regional innovation and eco-system sustainability;
• geo-aware social networking;
• rating systems and tourist information;
• visual surveillance systems, e.g. safety, traffic monitoring;
• warning systems.

Quality-aware geo-visualization is an emerging topic.

A geo-tagged analysis of emerging musicians
shows the diversity of ways that geo-aware data can be mined and used for analysis and prediction. As various models are networked, information-sharing enables individuals to share and learn from each others’ models, which they may adapt to launch in their own communities. Eventually this networked ecosystem of models may grow large enough to have significant global impact. This thesis describes how such a network could start, and the principles through which it would grow, adapt, and evolve.

I am Here attests to the potential for individual experiments in this domain.

Problem mapping a priori, creates conceptual geographies, enabling problem-solvers to see where they are in a group problem-solving process, in contrast to information visualisation after-the-fact, generates visual frameworks, or “empty constructs” to structure the process of knowledge-gathering. Problem maps can evolve into navigable user interfaces. These open frameworks (partial patterns) tap the pattern recognition capabilities of users, serving as vehicles to order incoming information in process, and for use by participants during the problem-solving process. A classic example of a problem map is Dmitri Mendeleev’s Periodic Table of Elements, which prompted chemists to look for elements that appeared logically likely to exist, based upon the pattern of the Table.

Situation architecture manages conceptual geographies to address the need for problem contextualization, possibly different contextualization for different users. Meaning is interpreted in context and may differ, not only with different interpreters, but in different contexts.



For competitive game theoretic approaches, John Maynard Smith. 1982. The evolution of social behavior classification of models. In Current Problems in Sociobiology. Ed. King’s College Sociobiology Group. Cambridge University Press. 28 – 44.
Patrick Grim, Evan Selinger, Robert Rosenberger, Randy Au, Nancy Louie, and John Connoll. 2004. “Reducing Prejudice: A Spatialized Game-Theoretic Model for the Contact Hypothesis.” Artificial Life IX.

Buckminster Fuller. 1961. “World Game” proposed as core curriculum for Southern Illinois University Edwardsville. Re-presented in 1964 for the 1967 International and Universal Exposition in Montreal, Quebec. Incorporated into the World Game Institute, 1972. Assets purchased by o.s. Earth, 2001.



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