Difference between revisions of "Team:SEU/Public Engagement"

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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2019.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2019.igem.org/Judging/Awards"> award listed below</a>. </p>
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  <li class='has-sub'><a href='https://2019.igem.org/Team:SEU'><span>Home</span></a></li>
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  <li class=' has-sub'><a href='https://2019.igem.org/Team:SEU/Team'><span>TEAM</span></a>
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  <ul>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Team'><span>Team Members</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Collaborations'><span>Collaborations</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Description'><span>PROJECT</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Description'><span>Description</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Design'><span>Design</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Experiments'><span>Experiment</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Notebook'><span>Notebook</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Improve'><span>Improve</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Attributions'><span>Attributions</span></a>
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  <li class=' has-sub'><a href='https://2019.igem.org/Team:SEU/Parts'><span>PARTS</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Parts'><span>Parts Overview</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Basic_Part'><span>Basic Parts</span></a>
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  <li><a href='https://2019.igem.org/Team:SEU/Safety'><span>SAFETY</span></a></li>
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  <li class="active"><a href='https://2019.igem.org/Team:SEU/Human_Practices'><span>HUMAN PRACTICES</span></a>
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<ul>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Human_Practices'><span>Human Practices</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Public_Engagement'><span>Education & Engagement</span></a>
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</li>
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</ul>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Entrepreneurship'><span>AWARDS</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Entrepreneurship'><span>Entrepreneurship</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Hardware'><span>Hardware</span></a>
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<li class=' has-sub'><a href='https://2019.igem.org/Team:SEU/Measurement'><span>Measurement</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Model'><span>Model</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Plant'><span>Plant</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Software'><span>Software</span></a>
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<li><a href="https://igem.org/2019_Judging_Form?team=SEU"><span>JUDGING FORM</span></a>
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              <h1 class="entry-title">Education &amp; Engagement</h1>
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            <div class="art-content">
  
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              <p>This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures. </p>
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              <p></p>
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              <p>In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly.              </p>
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              <p>This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures. </p>
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              <p></p>
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              <p>In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly. </p>
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              <h2>&nbsp;</h2>
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<h1>Human Practices: Education and Public Engagement Special Prize</h1>
 
  
<p>Innovative educational tools and public engagement activities have the ability to discuss the science behind synthetic biology, spark new scientific curiosity and establish a public dialogue about synthetic biology from voices and views outside the lab. </p>
 
  
<p>On this page, your team should document your Education and Public Engagement work and activities. Describe your team’s efforts to include more people in shaping synthetic biology (such as creating or building upon innovative educational tools and/or public engagement activities to establish two-way dialogue with new communities, and/or engaging new groups in discussions about synthetic biology and public values). Describe your approach, why you chose it, and what was learned by everyone involved (including yourselves!).</p>
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<p>This work may relate to or overlap with the work you document on your Human Practices page. Whereas Integrated Human Practices relates to the process of refining your project purpose and design, this page may highlight significant efforts that go beyond your particular project focus and/or address a significant broader concern in iGEM.
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<p>For more information, please see the <a href="https://2019.igem.org/Human_Practices">Human Practices Hub</a>. There you will find:</p>
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<ul>
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<li> an <a href="https://2019.igem.org/Human_Practices/Introduction">introduction</a> to Human Practices at iGEM </li>
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<li>tips on <a href="https://2019.igem.org/Human_Practices/How_to_Succeed">how to succeed</a> including explanations of judging criteria and advice about how to conduct and document your Human Practices work</li>
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<li>descriptions of <a href="https://2019.igem.org/Human_Practices/Examples">exemplary work</a> to inspire you</li>
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<li>links to helpful <a href="https://2019.igem.org/Human_Practices/Resources">resources</a></li>
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<li>and more! </li>
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<p>If you nominate your team for the <a href="https://2019.igem.org/Judging/Awards">Best Education and Public Engagement Special Prize</a> by filling out the corresponding field in the <a href="https://2019.igem.org/Judging/Judging_Form">judging form</a>, the judges will review this page to consider your team for that prize. The criteria are listed below. </p>
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<p>How have you developed new opportunities to include more people in shaping synthetic biology? Innovative educational tools and public engagement activities have the ability to establish a two-way dialogue with new communities by discussing public values and the science behind synthetic biology. Document your approach and what was learned by everyone involved to compete for this award.
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Revision as of 11:08, 29 August 2019

Education & Engagement

This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures.

In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly.

This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures.

In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly.