Surf these sites: Canadian Society for Theoretical Biology -- invites you: to share your interest in theoretical biology, keep informed of conferences, schools, funding, books, science policy, green issues, opinions, who''s who and many other matters of concern to those practicing or learning about theory in the biological sciences... Claus Emmeche home page -- I am a theoretical biologist with general interests in Philosophy of Nature, Philosophy of Science, and Science Studies, and research interests in artificial life and theoretical biology. Here are links to online papers, other resources, and to the Center for the Philosophy of Nature and Science Studies Mike Levin''s Theoretical Biology Page -- Links and books on theoretical biology in particular those that relate to process-oriented definitions of life, complexity-theory studies of embryonic development as a context for evolution, and the constructionist approaches of Artificial Life. Molecular Information Theory -- The theory of molecular machines from the NIH Laboratory of Computational and Experimental Biology. Quark''s Bar and Free Will -- Inorganic Chance to Biological Choice Santa Fe Institute -- Home of many of the leading thinkers in complexity theory. The Future of Cyberspace: An Organic Development? -- Now we live in an epoch of radical technical changes that has resulted in a connected world now. How does the evolution continue? We look at an analogic evolution of the nature to answer this question. Maybe, we can compare the future of the cyberspace with animals with a similar degree of connection, like bees, ants, termites and siphonophores. Theoretical Biology and Biophysics (T-10) -- The Theoretical Biology and Biophysics Group (T-10) at Los Alamos National Laboratory focuses on the modeling of biological systems and the analysis and informatics of molecular and cellular biological data. Theoretical Biology at the Utrecht University, the Netherlands -- Our Theoretical Biology group performs fundamental research in Biology by means of formal models in ecology, spatial pattern formation, (molecular) evolution, immunology, and ethology. Our formalisms range from mathematical models, cellular automata, genetic algorithms, to discrete-event individual-oriented simulation models. Our Bioinformatic approach typically involves spatial, multi-leveled models with many interacting entities whose behavior is determined by local information.
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