As a result, we present a framework for explaining this intersection and an emergent theory of engineering-science integration.
Since there is large variability in biological data, we have built stochastic models, and simulations are run using the Gillespie algorithm [47] on the BASIS (Biology of Ageing e-Science Integration and Simulation) system [48], [49].
We chose to use the Biology of Ageing e-Science Integration and Simulation system (BASIS) [ 40, 41] to store the models, run simulations and store results.
Simulations are carried out on the BASIS (Biology of Ageing e-Science Integration and Simulation) system and the model output is compared to experimental data wherein levels of ubiquitin and ubiquitinated substrates are monitored in cultured cells under various conditions.
The model was imported into the BASIS (Biology of Ageing e-Science Integration and Simulation) system [ 39, 40] and simulations were carried out using a stochastic simulator based on the Gillespie algorithm [ 41].
In the social sciences the integration is occurring predominantly through economics, with the others, including law, policy and stakeholder participation, much diminished in comparison.
If ecologist and conservation biologists are going to benefit to the full extent possible from the ever-advancing techniques developed by the paleoecological sciences, further integration of these disciplines is desirable.
The members of the committee identified four major areas of societal challenge where problem-focused research incorporating emerging theory, new technologies, fundamental findings from basic research in the life sciences, and integration into the life sciences of the physical sciences, mathematics, and engineering could enable biology to contribute to rapid progress in practical problem-solving.
"Education and training programs must be developed in what has come to be called 'convergence science': the integration of life, physical, and engineering sciences, so that S&T [science and technology] practitioners have a knowledge and experience base to participate in the kinds of integrated scientific efforts that are needed," they wrote.
The four main areas of advancement that I plan to investigate over the next decade are: Rapid science algorithm integration Researchers need to do a better job at rapidly and unobtrusively integrating scientific algorithms into Big Data production systems and workflow systems.
