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<b style="mso-bidi-font-weight:
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mso-ascii-theme-font:minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-theme-font:
minor-latin">University of Houston - Biomedical Engineering Seminar<o:p></o:p></span></b></p>
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mso-ascii-theme-font:minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-theme-font:
minor-latin">Friday, Oct. 5, 2018, Noon, Rm 205 SEC<o:p></o:p></span></b></p>
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mso-ascii-theme-font:minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-theme-font:
minor-latin;color:#C00000">Cross-disciplinary Evolution of the Genomics
Revolution<o:p></o:p></span></b></p>
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color:#C00000">Ioannis Thomas Pavlidis<o:p></o:p></span></b></h2>
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normal"><span style="font-size:20.0pt;font-family:"Calibri",sans-serif;
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mso-bidi-theme-font:minor-latin;color:#C00000;mso-fareast-language:ZH-CN">ABSTRACT<o:p></o:p></span></b></p>
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<span style="font-size:14.0pt">The field of genomics evolved from the Human Genome Project (HGP). Most interest has been on the economic impact, we shift our focus to the social and capital generated by bridging together biology and computing—core disciplines
of “genomics”. This capital is quantitated by measuring the pervasiveness of bio-computing cross-disciplinarity (XD) in genomics research during and after the HGP. To provide interlocking perspectives at the career and epistemic levels, we assembled three
data sets to measure XD via (i) the collaboration network between 4190 biology and computing faculty from 155 departments in the United States, (ii) cross-departmental affiliations within human genomics publications, and (iii) the application of computational
concepts and methods in research published in a preeminent genomics journal. Conclusions: (1) research featuring XD collaborations has a higher citation impact than other disciplinary research—an effect observed at both the career and individual article levels.
(2) genomics articles featuring XD methods tend to have higher citation impact than epistemically pure articles. (3) XD researchers of computing pedigree are drawn to the biology culture. This statistical evidence acquires deeper meaning when viewed against
the organizational and knowledge transfer mechanisms revealed by the data models. With cross-disciplinary initiatives set to dominate the future
<span style="mso-spacerun:yes"> </span>agenda of funding agencies, our case study provides a framework for appreciating the long-term effects of these initiatives on science and its standard-bearers.<o:p></o:p></span></p>
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<b style="mso-bidi-font-weight:normal"><span style="font-size:20.0pt;font-family:
"Calibri",sans-serif;mso-ascii-theme-font:minor-latin;mso-hansi-theme-font:
minor-latin;mso-bidi-theme-font:minor-latin;color:#C00000">BIOSKETCH<o:p></o:p></span></b></p>
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<span style="font-size:12.0pt">Dr. Pavlidis is the Eckhard-Pfeiffer Professor of Computer Science and Director of the Computational Physiology Laboratory at UH. His papers are in the areas of human-computer interaction, computational physiology, and the physiological
basis of human behavior. He is well known for his work on the quantification of stress and its effect on critical human responses, in a series of articles in
<i style="mso-bidi-font-style:normal">Nature</i>, <i style="mso-bidi-font-style:normal">
Lancet, </i>and the<i style="mso-bidi-font-style:
normal"> Scientific Reports</i>. Dr. Pavlidis is also known for his work on science policy and the evolution of cross-disciplinary teams, which appeared in
<i style="mso-bidi-font-style:normal">Nature Physics</i> and <i style="mso-bidi-font-style:normal">
Science Advances</i>.<o:p></o:p></span></p>
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