<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T21:58:03Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/113520" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/113520</identifier><datestamp>2022-09-01T02:11:50Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Ron Weiss.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Nagata, Masakazu, S.M. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Integrated Design and Management Program</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-02-08T16:27:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-02-08T16:27:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/113520</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1020074003</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 45-46).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">By designing and re-designing biological system, synthetic biology is advancing a wide range of domains from biotherapeutics for fatal cancers to biofuels and artificial meat to improve the global environment and food security. As the scale and complexity of synthetic biology endeavors are increasing, designing automation processes to replace manual labor is becoming more important to improve cost effectiveness, reproducibility, and efficiency including error reduction. Despite the desire for lab automation in the research and industry, in reality, scientists still largely rely on manual techniques in the labs even though the conventional approach becomes unmanageable and slows down their research iterations. One of the key problems is the mental barrier. According to the online survey and interviews conducted in this research, almost 90% of researchers cannot trust the quality of robot's work even though they do not know the actual success rate of the robotics work and what the robot can do. To bridge the gap for making the automation process more accessible, this research is proposing the use of "Bot", a software robot with which people can communicate through the internet and "Internet of things (IoT)". In the system, Bot is connected with the lab automation robots such as liquid handling robots. By communicating with the Bot using user-interfaces such as Slack, researchers can place work orders on lab robots and monitor their order status anytime. Moreover, people can directly ask the Bot for important information and instructions, such as protocol success rate and scheduling.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Masakazu Nagata.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Engineering and Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">46 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Integrated Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">User-centered automation process in synthetic biology research</dim:field>
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   	&lt;Title>User-centered automation process in synthetic biology research&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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    &lt;Keyword>Engineering and Management Program.&lt;/Keyword>
    &lt;Keyword>Integrated Design and Management Program.&lt;/Keyword>
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   	&lt;Abstract>By designing and re-designing biological system, synthetic biology is advancing a wide range of domains from biotherapeutics for fatal cancers to biofuels and artificial meat to improve the global environment and food security. As the scale and complexity of synthetic biology endeavors are increasing, designing automation processes to replace manual labor is becoming more important to improve cost effectiveness, reproducibility, and efficiency including error reduction. Despite the desire for lab automation in the research and industry, in reality, scientists still largely rely on manual techniques in the labs even though the conventional approach becomes unmanageable and slows down their research iterations. One of the key problems is the mental barrier. According to the online survey and interviews conducted in this research, almost 90% of researchers cannot trust the quality of robot&amp;apos;s work even though they do not know the actual success rate of the robotics work and what the robot can do. To bridge the gap for making the automation process more accessible, this research is proposing the use of &amp;quot;Bot&amp;quot;, a software robot with which people can communicate through the internet and &amp;quot;Internet of things (IoT)&amp;quot;. In the system, Bot is connected with the lab automation robots such as liquid handling robots. By communicating with the Bot using user-interfaces such as Slack, researchers can place work orders on lab robots and monitor their order status anytime. Moreover, people can directly ask the Bot for important information and instructions, such as protocol success rate and scheduling.&lt;/Abstract>
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