New England Complex Systems Institute

Special Meetings:

Physical Limits to Computation, Jan 30, 1998
Information Mechanics, March 27, 1998
 
Evolution and Complexity, March 20, 1998
Gene Interactions in Evolution, April 24, 1998
 
Organizational Learning in Complex Environ., January 16, 1998
Organizational Learning in Complex Environ. II, February 27, 1998
Strategic Planning in Complex Environ., June 19, 1998


Working Groups at NECSI

The New England Complex Systems Institute (NECSI) promotes discussion of vital research problems in the understanding of complex systems. Working groups that meet regularly in organized topical workshops discuss the state of present research and introduce essential questions to be addressed by future research. The working groups that are presently being organized include:

Working group organization
NECSI will coordinate and support the working groups, facilitating the organization of workshops and covering expenses associated with invited visitors. Each working group consists of a core of 8-12 individuals who organize and participate in a series of workshops (e.g. six per year).
The workshop framework is designed to communicate recent progress and promote discourse on central unsolved questions. Additional working groups will be organized as interest warrants. As resources allow, graduate students or post-doctoral fellows will be assigned to working groups.

Format of workshops
The workshops are designed to promote discourse and therefore are dominated by the time allocated for discussion. A workshop that occurs on Friday typically begins in the morning, and continues till evening. Workships that occur on other weekdays begin in the late afternoon and continue after dinner. In either case brief invited presentations designed to introduce the basic concepts and questions are followed by extended discussion. To enable a productive discussion the number of participants is to be limited to 10-20 including the core group, and additional invited participants.

Working groups

Fundamentals: Information mechanics
Time series analysis and prediction
Molecular self-organization
Mind, brain and behavior
Informatics
Evolution
Structure of human organizations
Biomedical complexity



Fundamentals: Information mechanics

Time series analysis and prediction

Molecular self-organization

Mind, brain and behavior

Informatics

Evolution

Structure of human organizations

Biomedical complexity