Difference between revisions of "Team:SEU/Human Practices"

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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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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2019.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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                                    <br><br><br><br>
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                                        <h2>Overview</h2>
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                                        <p><font size="4">Molecular computing technology, a new cross-disciplinary field of the information science, gradually attracts researchers’ attention due to its low computational complexity and high parallelism. Some researchers have designed molecular computation systems to achieve functions which are originally realized by traditional silicon-based systems (e.g., clock design and logic gates), which inspires us to think that maybe we can use molecules to realize artificial intelligence systems which is a very hot topic in recent years. With this goal, we first learned about artificial intelligence and then consulted specialist in Purple Mountain Laboratory (PML) for more insights. After the discussion with the specialist, we understood the limitation of the implementation of artificial intelligence systems. We also knew that molecular computing is possible to solve these problems. </font></p>
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                                        <h2>Integrated Human Practices</h2>
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                                        <h4>Our visit in Purple Mountain Laboratory</h4>
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                                        <p><font size="4">At the beginning of our project, systems, we visited the Purple Mountain Laboratory (PML) in Nanjing to obtain better understanding of artificial intelligence. During our visit in PML, we discussed with specialist Dr. Tan about artificial intelligence.</font></p>
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                                        <p></p>
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                                        <p><font size="4">Dr. Tan told us that most artificial intelligence systems are implemented with silicon-based chips. When facing large systems, the area complexity and power cost of such chips are high. Many researchers are trying to reduce the complexity and cost of the silicon-based artificial intelligence systems. She also mentioned that it was meaningful for us to use bio-materials to implement artificial intelligence systems since molecular computation has higher computation parallelism and lower energy cost compared to silicon-based chips.</font></p>
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                                        <p><font size="4">During the discussion, we also learned that neural networks are basic parts in artificial intelligence systems. If we want to use molecules to realize artificial intelligence systems, we first need to build molecular computation models for artificial neurons, including all the related arithmetic operations. Besides, the training of neural networks should also be accomplished in molecular level. Meanwhile, Dr. Tan pointed out that our work may be efficient in the biological field. Our idea using DNA as the basis for construction may have good biological characteristics, and may be useful in intelligent recognition of biological information.</p>
  
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                                        <h4>Our contribution to synthetic biology</h4>
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                                        <p><font size="4">In order to make the DNA-based neural networks available to other researchers, we developed a software tool for users, which can generate DNA reaction models and relevant DNA sequences. With this tool, users can better understand and improve our work. </font></p>
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                                        <p></p>
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                                        <p><font size="4">Rome was not built in a day and every great advance is made up of many small achievements. In our work, we not only focus on case study, but also propose useful models and tools. We hope our project can provide convenience and help to other researchers.</font></p>
  
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<h1>Human Practices</h1>
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At iGEM we believe societal considerations should be upfront and integrated throughout the design and execution of synthetic biology projects. “Human Practices” refers to iGEM teams’ efforts to actively consider how the world affects their work and the work affects the world. Through your Human Practices activities, your team should demonstrate how you have thought carefully and creatively about whether your project is responsible and good for the world. We invite you to explore issues relating (but not limited) to the ethics, safety, security, and sustainability of your project, and to show how this exploration feeds back into your project purpose, design and execution.
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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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<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>On this page, your team should document all of your Human Practices work and activities. You should write about the Human Practices topics you considered in your project, document any activities you conducted to explore these topics (such as engaging with experts and stakeholders), describe why you took a particular approach (including referencing any work you built upon), and explain if and how you integrated takeaways from your Human Practices work back into your project purpose, design and/or execution. </p>
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<p>If your team has gone above and beyond in work related to safety, then you should document this work on your Safety wiki page and provide a description and link on this page. If your team has developed education and public engagement efforts that go beyond a focus on your particular project, and for which would like to nominate your team for the Best Education and Public Engagement Special Prize, you should document this work on your <a href="https://2019.igem.org/Team:SEU/Public_Engagement">Education and Education wiki page</a> and provide a description and link here. </p>
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<p>The iGEM judges will review this page to assess whether you have met the Silver and/or Gold medal requirements based on the Integrated Human Practices criteria listed below. If you nominate your team for the <a href="https://2019.igem.org/Judging/Awards">Best Integrated Human Practices 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 also review this page to consider your team for that prize.
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<h3>Silver Medal Criterion #3</h3>
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<p>Convince the judges you have thought carefully and creatively about whether your work is responsible and good for the world. Document how you have investigated these issues, how you engaged with communities relevant to your goals, why you chose this approach, what you have learned, and the potential impact of your project’s success.  </p>
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<h3>Gold Medal Criterion #1</h3>
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<p>Expand on your silver medal activity by demonstrating how you have integrated the investigated issues into the purpose, design, and/or execution of your project. Document your process and describe how your human practices work informed and shaped your project at different stages.
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<h3>Best Integrated Human Practices Special Prize</h3>
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<p>To compete for the Best Integrated Human Practices prize, please describe your work on this page and also fill out the description on the judging form. </p>
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<p>How does your project affect society and how does society influence the direction of your project? How might ethical considerations and stakeholder input guide your project purpose and design and the experiments you conduct in the lab? How does this feedback enter into the process of your work all through the iGEM competition? Document a thoughtful and creative approach to exploring these questions and how your project evolved in the process to compete for this award!</p>
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<p>You must also delete the message box on the top of this page to be eligible for this prize.</p>
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Latest revision as of 17:31, 21 October 2019









Overview

Molecular computing technology, a new cross-disciplinary field of the information science, gradually attracts researchers’ attention due to its low computational complexity and high parallelism. Some researchers have designed molecular computation systems to achieve functions which are originally realized by traditional silicon-based systems (e.g., clock design and logic gates), which inspires us to think that maybe we can use molecules to realize artificial intelligence systems which is a very hot topic in recent years. With this goal, we first learned about artificial intelligence and then consulted specialist in Purple Mountain Laboratory (PML) for more insights. After the discussion with the specialist, we understood the limitation of the implementation of artificial intelligence systems. We also knew that molecular computing is possible to solve these problems.

Integrated Human Practices

Our visit in Purple Mountain Laboratory

At the beginning of our project, systems, we visited the Purple Mountain Laboratory (PML) in Nanjing to obtain better understanding of artificial intelligence. During our visit in PML, we discussed with specialist Dr. Tan about artificial intelligence.

Dr. Tan told us that most artificial intelligence systems are implemented with silicon-based chips. When facing large systems, the area complexity and power cost of such chips are high. Many researchers are trying to reduce the complexity and cost of the silicon-based artificial intelligence systems. She also mentioned that it was meaningful for us to use bio-materials to implement artificial intelligence systems since molecular computation has higher computation parallelism and lower energy cost compared to silicon-based chips.

During the discussion, we also learned that neural networks are basic parts in artificial intelligence systems. If we want to use molecules to realize artificial intelligence systems, we first need to build molecular computation models for artificial neurons, including all the related arithmetic operations. Besides, the training of neural networks should also be accomplished in molecular level. Meanwhile, Dr. Tan pointed out that our work may be efficient in the biological field. Our idea using DNA as the basis for construction may have good biological characteristics, and may be useful in intelligent recognition of biological information.

Our contribution to synthetic biology

In order to make the DNA-based neural networks available to other researchers, we developed a software tool for users, which can generate DNA reaction models and relevant DNA sequences. With this tool, users can better understand and improve our work.

Rome was not built in a day and every great advance is made up of many small achievements. In our work, we not only focus on case study, but also propose useful models and tools. We hope our project can provide convenience and help to other researchers.