Special Theme - Environmental Engineering


Unified knowledge of system biology, theoretical biology and sustainable yield can be achieved through amalgamating the present day knowledge and tools. Various organizational fields like Ecology, Genetics, and Molecular biology needs to be amalgamated to avidly manage and preserve the biodiversity of the organisms, its Gene pool and to nurture and protect species from extinction. 

The workshop on 25th of September is specially devoted to the Ecological and Environmental Modelling. A special emphasis will be given free software R which is an extremely powerful tool for statistical modelling in natural sciences.  
    
                                                                      
Sustainable Agriculture

Sustainable agriculture is a challenging objective, but at its basic there is a rejection of the industrial approach to food production. This modern agriculture system, with its reliance on monoculture, mechanization, chemical pesticides and fertilizers, biotechnology, has made food abundant and affordable. The concept of sustainable agriculture embraces a wide range of techniques, including organic, free-range, low-input, holistic, and biodynamic crop production. It is predicted that food shortages for a world population expected to exceed 8 billion by the year 2030. There's recent evidence, though, suggesting that over time, sustainably farmed lands can be as productive as conventional industrial farms.

Mathematical and Theoretical Biology

Mathematical and theoretical biology is an interdisciplinary scientific research field referred to as mathematical biology or biomathematics to emphasize the mathematical or theoretical biology. Mathematical biology aims at the mathematical/statistical representation, treatment and modeling of biological processes, using a variety of applied mathematical/statistical tools and techniques. It has both theoretical and practical applications in biological, biomedical and biotechnology research, e.g. in cell biology, protein interactions are often exemplified as "cartoon“ models, which, although easy to visualize, do not accurately describe the systems studied. In order achieve this accurate mathematical/statistical models are needed. By unfolding the systems in a quantifiable manner, their behaviour can be better demonstrated, and hence inaccessible properties can be better predicted that might not be evident to the experimenter.


Systems Biology

Systems biology is another emerging field that aims at system-level understanding of biological systems. Cybernetics, for example, aims at describing animals and machines from the control and communication theory. Unfortunately, molecular biology has just started, so that only phenomenological analysis has been possible. It was only recently that system-level analysis can be grounded on discoveries at molecular-level. With the progress of genome sequence project and range of other molecular biology project that accumulate in-depth knowledge of molecular nature of biological system. Although systems are composed of matters, the essence of system lies in its dynamics and it cannot be described merely by enumerating components of the system. A holistic approach is urgently warranted for the robust understanding of the system component interactions.