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THE COMPUTATIONAL SOCIAL SCIENCE WORKSHOP PRESENTS</h3>
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LAURA NELSON</h1>
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ASSISTANT PROFESSOR OF SOCIOLOGY, COLLEGE OF SOCIAL SCIENCES AND HUMANITIES</h3>
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NORTHEASTERN UNIVERSITY</h3>
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The<span class="Apple-converted-space"> </span><a href="https://macss.uchicago.edu/content/computation-workshop" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">Computational
Social Science Workshop<span class="Apple-converted-space"> </span></a>at the University of Chicago cordially invites you to attend this week’s talk:</p>
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<a href="https://github.com/uchicago-computation-workshop/laura_nelson/blob/master/2018__nelson__century_of_continuity.pdf" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">CYCLES
OF CONFLICT, A CENTURY OF CONTINUITY: USING COMPUTATIONAL METHODS TO MEASURE WHY SOME IDEAS SUCCEED AND OTHERS FAIL</a></h2>
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<span style="box-sizing: border-box; font-weight: 700;">Abstract:</span><span class="Apple-converted-space"> </span>Why are some ideas and organizations influential, and others insignificant? As movements such as #BlackLivesMatter and #MeToo dominate the public
scene, this question is receiving renewed attention from both social scientists and the general public. In this talk I take a comparative historical perspective on this question, identifying influential and peripheral ideas and organizations within the women’s
movements in Chicago and New York City during both the first and second feminist waves, from 1860 to 1975. Established accounts maintain that the predominant ideas of second wave feminism came out of the civil rights and New Left movements. Finding more similarities
than differences between the waves, I instead show that second wave ideas were rooted in place-based political logics established during the first wave. In both waves, influential organizations in Chicago sought change by addressing the immediate needs of
women, while influential organizations in New York City sought to change individual consciousness. Using a novel combination of network statistics to measure social structure and computational and qualitative text analysis techniques to measure ideas, I find
that collective beliefs become influential when they are aligned with these persistent place-based political logics, or, secondly, when they match local social structures. These findings demonstrate how computational methods can provide empirical access to
concepts that have historically been difficult to directly measure. New sources of rich, digitized data, I claim, when combined with methodological advances in analyzing unstructured data, enables scholars to measure social complexity and cultural beliefs
in new – and increasingly reproducible – ways.</p>
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THURSDAY, 2/22/2018</h4>
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11:00AM-12:20PM</h4>
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KENT 120</h4>
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A light lunch will be provided by Good Earth Catering Company.</p>
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<span style="box-sizing: border-box; font-weight: 700;">Laura K. Nelson</span><span class="Apple-converted-space"> </span>is a sociologist who uses computational methods to study social movements, culture, gender, institutions, and the history of feminism.
Using computer-assisted texts analysis and network analysis, her dissertation examined the political logics underlying women’s movements in New York City and Chicago from 1865-1975. She is interested in further developing automated text analysis methods and
best-practices for sociology and digital humanities. She received her Ph.D. in sociology from the University of California, Berkeley. In 2014-2016 she was a postdoc in Management and Organizations in the Kellogg School of Management at Northwestern University,
and is on leave this year as a fellow for Digital Humanities @ Berkeley and the Berkeley Institute for Data Science at the University of California, Berkeley.</p>
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The 2017-2018<span class="Apple-converted-space"> </span><a href="https://macss.uchicago.edu/content/computation-workshop" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">Computational
Social Science Workshop<span class="Apple-converted-space"> </span></a>meets each Thursday from 11 a.m. to 12:20 p.m. in Kent 120. All interested faculty and graduate students are welcome.</p>
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Students in the Masters of Computational Social Science program are expected to attend and join the discussion by posting a comment on the<span class="Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/laura_nelson/issues" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">issues
page<span class="Apple-converted-space"> </span></a>of the<span class="Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/laura_nelson" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">workshop’s
public repository on GitHub.</a><span class="Apple-converted-space"> </span>Further instructions are documented in the Computational Social Science Workshop’s<span class="Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/README" style="box-sizing: border-box; background-color: transparent; color: rgb(66, 139, 202); text-decoration-line: none; transition: all 0.125s ease-in-out 0s;">README
on Github.</a></p>
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