Research themes

From Evo Devo Universe
Jump to: navigation, search

Below is a current partial list of EDU Research Themes. See also the Special Interest Groups (SIG) below for Groups within which EDU Themes are presently being explored.

EDU Research Themes

  • Anthropic bias and observer selection effects.
  • Anthropic, fine-tuning, and multiverse/ensemble models in cosmology.
  • Acceleration studies and performance curves at the universe and subsystem scales.
  • Algorithmic information theory, algorithmic complexity and randomness.
  • Astrobiology, astrosociology, Fermi paradox, and SETI.
  • Complexity, emergence, ergodicity, and nonlinear science models with organic and computational features.
  • Computational and artificial life inspired models and analogies applied at the universe and subsystem scales.
  • Cosmology with organic features, such as cosmological natural selection (CNS) and CNS with intelligence (CNS-I).
  • Directionality, macrodevelopment, and convergent evolution in biological systems.
  • Evolutionary and developmental processes in evo-devo and theoretical biology.
  • Evolutionary and developmental processes in non-biological systems (physical, chemical, cultural, technological).
  • Hierarchy theory, modularity, and self-organization at the universe and subsystem scales.
  • Information theory of evolution and development, intelligence theory at the universe and subsystem scales.
  • Network theory and nonlinear dynamics at the universe and subsystem (neuroscience, society) scales.
  • Non-equilibrium dissipative structures, entropy optimization/maximization, and energy density/efficiency vectors at the universe and subsystem scales.
  • Origin of life, autopoesis, thermodynamics and kinetics of living, replicative, far-from-equilibrium systems.
  • Philosophy and systems theory with organic and computational features at the universe and subsystem scales.
  • Philosophical and epistemological status of speculative theories in emergence, complexity and cosmology.
  • Probability distributions, power laws, and statistical predictability at the universe and subsystem scales.
  • Scale relativity, scale invariance and self-similarity models at the universe and subsystem scales.
  • Self-reference, iteration, and recursion models at the universe and subsystem scales.
  • Systems models relating Physical, Chemical, Biological(genetics), Cultural("memetics"), and Technological("technetics") (PCBCT) adaptive systems

Themes outside the scope of our community:

  • Non-naturalistic orthogenesis or teleology, intelligent design, supernaturalism, and theology.



See Conference themes for a list of potential future EDU conference presentation topics and tutorials.
See Questions for more on research questions being considered by the EDU community.

Special Interest Groups (SIGs)

After growing our primary community, starting Special Interest Groups (SIGs), in ten complexity research specialties, is our next priority for community development. See our list of top complexity organizations for a global list of a few hundred groups doing leading work in these ten specialities. We assign unique one-letter codes for each of these specialties (see below), and the ten are intended to represent the major domains of our community's focus, Bio-Inspired Complexity Science and Philosophy. We identify working scholars with up to three of these codes in our own databases, and EDU scholars are encouraged also use up to three of these codes to self-identify their current top research interests as well.

We'd like to start the ten SIGs below as a community priority. If you are a good community developer and are willing to lead a SIG for a year, please email Clement Vidal to find out what it takes to start a SIG. Feel free to start small! "Three scholars makes a SIG". SIGs on any topic may emerge as groups, if any scholar can recruit a minimum of two colleagues with similar interests. All SIG members are encouraged to read and critique each other's papers, meet regularly online and in small group at conferences, develop open resources, and build databases of scholars they can invite to participate. EDU Directors are available for advice on strategies to make your SIG particularly effective for all its members. Participation in a good set of SIGs will greatly aid your collaboration and productivity over your career.

Primary SIGs

Complexity SIG | Code C

  • Complexity, Nonlinear Science, and Quantitative Models

Philosophy SIG | Code H

  • Philosophy, Big History, Systems Theory and Qualitative Models

Information and Quantum SIG | Code I

  • Information, Thermodynamics and Quantum Physics

Cosmology and Physics SIG | Code P

  • Cosmology, Astrophysics and General Physics

Geophysics and Chemistry SIG | Code G

  • Geophysics, Geochemistry and Organic Chemistry

Astrobiology and Abiogenesis SIG | Code A

  • Astrobiology, Origin of Life and SETI

Biological Sciences SIG | Code B

  • Ecology, Evo-Devo and Biological Sciences

Neurosciences SIG | Code N

  • Neuroscience, Cognitive Sciences and Learning

Social Sciences SIG | Code S

  • Sociology, Anthropology, Economics and Management

Bio-Inspired Engineering SIG | Code T

  • Technology Systems, Computer Science, and Bio-Inspired Engineering and AI


Specialty SIGs

With the exception of topics outside the EDU scope, start a SIG on whatever topic you desire!