Team:UCL/Science/Model

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<p class="widthCorrect">Considering the complex and novel nature of scientific practices in synthetic biology there is a need to look at adapted forms of governance that deal with processes of innovation in a reflexive manner. This is seen as necessary in order to devise policies that can accommodate a sustainable development of the emerging technology within society. Considering the environmental risks to which they are ascribed, policy frameworks ought to engender effective governance that seeks to foster good science, not to hamper it. It also recognises that good science goes hand in hand with open, clear, transparent regulation to ensure both trust and accountability. Another prominent feature of synthetic biology is its ‘cross-borderness’, in addition to the embedded scientific uncertainty. It simultaneously crosses the borders of scientific disciplines, industrial sectors, and geopolitical areas. Considering the transboundary and uncertain nature of this emerging technology it might be interesting to look at how policies are being developed within the framework of transnational governance. Some views support the idea that synthetic biology policies should not only be regulated from a top down perspective through governments, but that non-governmental stakeholders and organisations should be able to engage in self-regulation. The transboundary – and transnational nature of synthetic biology practices makes it pertinent to examine biosecurity and sustainable innovation discourses at the level of transnational governance structures such as iGEM. The latter holds a series of promising characteristics with regard to innovative regulatory frameworks.</p>
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<h2>About our project</h2>
 
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<h1>Modelling</h1>
 
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<p>Keep an eye on this space as new content will be coming soon. As the project progresses we'll have more cool stuff to show you; of which modeling, including things like flux balancing, will be a part of.
 
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<li> Equations for pathway model.</li>
 
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<li>Parameter estimations for pathway model have been found for desired behaviours (using approximate Bayesian computation, ABC SysBio).</li>
 
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Simulated timecourse data of methyl red degradation by azoreductase and laccase. Created using Copasi:
 
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Posterior distribution of model parameters
 
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Revision as of 12:01, 6 September 2014

Goodbye Azodye UCL iGEM 2014

Modelling

Modelling Team

Summary

Considering the complex and novel nature of scientific practices in synthetic biology there is a need to look at adapted forms of governance that deal with processes of innovation in a reflexive manner. This is seen as necessary in order to devise policies that can accommodate a sustainable development of the emerging technology within society. Considering the environmental risks to which they are ascribed, policy frameworks ought to engender effective governance that seeks to foster good science, not to hamper it. It also recognises that good science goes hand in hand with open, clear, transparent regulation to ensure both trust and accountability. Another prominent feature of synthetic biology is its ‘cross-borderness’, in addition to the embedded scientific uncertainty. It simultaneously crosses the borders of scientific disciplines, industrial sectors, and geopolitical areas. Considering the transboundary and uncertain nature of this emerging technology it might be interesting to look at how policies are being developed within the framework of transnational governance. Some views support the idea that synthetic biology policies should not only be regulated from a top down perspective through governments, but that non-governmental stakeholders and organisations should be able to engage in self-regulation. The transboundary – and transnational nature of synthetic biology practices makes it pertinent to examine biosecurity and sustainable innovation discourses at the level of transnational governance structures such as iGEM. The latter holds a series of promising characteristics with regard to innovative regulatory frameworks.

Contact Us

University College London
Gower Street - London
WC1E 6BT
Biochemical Engineering Department
Phone: +44 (0)20 7679 2000
Email: ucligem2014@gmail.com

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