Session 1: ICCT in biology at the molecular and cellular level
The use of the ICCT paradigm in molecular and cellular biology. Application of ICCT in biology from both a biological and engineering point of view. Biocomputation, design of biosynthetic circuits and intercellular communication.
Session 2: ICCT in biology at the organismal, ecological and evolutionary level
The ICCT paradigm in organismal and evolutionary biology. Application in inter-organismal communication from both the biological and engineering points of view. Engineering interventions in biocommunity interaction networks.
Session 3: ICCT in biology from a systems, synthetic and in silico biology perspective
Innovative approaches towards the examination of an ICCT framework in biology through the lense of systems, synthetic and in silico biology. Application of coding theory for DNA-based coding schemes. Digital signal processing paradigms in biological systems. Channel capacity in biological communication
Session 4: Deploying and testing the ICCT model
Approaches and methods in the application of the ICCT framework to biology.
Shared traits for the development of a common framework. Experimental methods to test and validate the ICCT paradigm.
Session 5: Revising Shannon’s paradigm: math and computational drivers
Semantic coupling and other issues in the application of the ICCT paradigm in biology. Key mathematical and computational elements required to update and push forward the ICCT paradigm in
Session 6: Training the next generation and establishing a research roadmap.
Effective training a new generation of biologists and engineers to tackle the implementation of the ICCT framework in biology. Operational roadmap for the strategic development of an ICCT-centric research program in biology.
Copyright © 2019 NSF/UMBC/UNL BiotICC Workshop - All Rights Reserved.
This workshop is supported by the National Science Foundation under Grant No. MCB-1945773 and jointly supported by the Directorate for Biological Sciences (MCB - Division of Molecular and Cellular Biosciences) and the Mathematical and Physical Sciences Directorate (PHY - Division of Physics; Physics of Living Systems).
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.