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    <title>DC Sociological Society upcoming events</title>
    <link>https://www.dcsociologicalsociety.org/events</link>
    <description>DC Sociological Society upcoming events</description>
    <dc:creator>DC Sociological Society</dc:creator>
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    <pubDate>Sat, 08 Aug 2026 02:55:36 GMT</pubDate>
    <lastBuildDate>Sat, 08 Aug 2026 02:55:36 GMT</lastBuildDate>
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      <pubDate>Tue, 11 Aug 2026 15:00:00 GMT</pubDate>
      <title>Measuring spatial accessibility to healthcare: An applied example using IPUMS PMA data (August 11, 2026)</title>
      <description>&lt;p&gt;&lt;img data-v-04f9b15f="" data-src="https://dcsociologicalsociety.org/w_p/98691518598/1aa2d261-ef8c-439d-838d-0b77d423e1ba.png" src="https://umn.zoom.us/w_p/98691518598/1aa2d261-ef8c-439d-838d-0b77d423e1ba.png"&gt;&lt;br&gt;&lt;/p&gt;

&lt;h2 align="center"&gt;Measuring spatial accessibility to healthcare: An applied example using IPUMS PMA data&lt;/h2&gt;

&lt;h3 align="center"&gt;August 11, 2026&lt;br&gt;
Virtual&lt;br&gt;
10:00am CDT&lt;/h3&gt;

&lt;p&gt;"There is a strong connection between place, healthcare access, and health, however the data traditionally used to measure spatial access are not universally available; this issue is particularly acute in countries with the poorest health outcomes. Building on a series of posts on the IPUMS DHS Spatial Analysis and Health Research Hub Blog, we are conducting a hands-on, step-by-step demonstration of a raster-based healthcare accessibility workflow in Python and R using globally-available, free, and high-resolution data. We will describe open-source code for measuring access to health care infrastructure across space, then attach this measure to spatially-referenced individual data in the Kenya 2020 data in IPUMS PMA. &lt;a href="https://umn.zoom.us/webinar/register/WN_SbFgt9XJRNquNBSkkXO9ng#/registration" target="_blank"&gt;Register to join us&lt;/a&gt; at 10:00am CDT on August 11th, 2026!"&lt;/p&gt;</description>
      <link>https://dcsociologicalsociety.org/event-6753666</link>
      <guid>https://dcsociologicalsociety.org/event-6753666</guid>
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      <pubDate>Thu, 13 Aug 2026 16:00:00 GMT</pubDate>
      <title>Studying Math Pathways with Higher Education State Administrative Data (August 13, 2026)</title>
      <description>&lt;p&gt;&lt;img src="https://ci3.googleusercontent.com/meips/ADKq_NYQPaDFdSv777TcGOInp1-1GxnhsslHKX_qVxfYYJqGgzS4mOiAAoXQYcm4I6HPl2W1LgPjKsRMlx8TQmtwpL9bioT93rxXsU_UjOcw23lQ_ql201jdJBB9Djs=s0-d-e1-ft#https://AERA.informz.net/AERA/data/images/PEERS_banner_1.jpg?cb=86209" border="0" height="214" width="630" data-bit="iit"&gt;&lt;/p&gt;

&lt;h2 align="center"&gt;“Studying Math Pathways with Higher Education State Administrative Data: Opportunities and Challenges”&lt;/h2&gt;

&lt;h3 align="center"&gt;Thursday, August 13&lt;br&gt;
12:00 pm ET&lt;/h3&gt;

&lt;p&gt;"The AERA-ICPSR PEERS Data Hub will hold a webinar, “Studying Math Pathways with Higher Education State Administrative Data: Opportunities and Challenges.” The webinar, offered at no cost, will look at the impact of math course taking requirement policy reforms in community colleges on choosing a STEM major."&lt;/p&gt;

&lt;p&gt;"State administrative data sets are a powerful tool for longitudinal analysis. This workshop will introduce graduate students to a novel analysis of Maryland Higher Education Commission (MHEC) data by Drs. Lin and Ran that looked at the impact of math course taking requirement policy reforms in community colleges on choosing a STEM major. While this study focuses on the results using Maryland community college data, the presenters will also discuss the availability and potential use of data from four-year universities within the state."&lt;/p&gt;

&lt;p&gt;This workshop is designed for graduate students and early career researchers looking to improve their understanding of the research process and researchers interested in learning more about using state level administrative datasets like the MHEC for STEM analysis.&lt;br&gt;
&lt;br&gt;
Speakers:&lt;br&gt;
Yuxin Lin, Maryland Higher Education Commission&lt;br&gt;
Florence Xiaotao Ran, University of Delaware&lt;/p&gt;

&lt;p&gt;&lt;a href="https://aera.zoom.us/webinar/register/WN_y4dFGJ0VRf2qksdBYqhFPg%20#/registration" target="_blank"&gt;Register for the webinar on Zoom&lt;/a&gt;&lt;/p&gt;</description>
      <link>https://dcsociologicalsociety.org/event-6781706</link>
      <guid>https://dcsociologicalsociety.org/event-6781706</guid>
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      <pubDate>Mon, 31 Aug 2026 04:00:00 GMT</pubDate>
      <title>Teaching with AI workshops (AAC&amp;U) (August 31, 2026)</title>
      <description>&lt;p&gt;&lt;img alt="AAC&amp;amp;U Workshop: Teaching with AI Series" src="https://ci3.googleusercontent.com/meips/ADKq_NbazwEwhsR5fb9oDi8V5ZXPC4liMPjgShJQowa4mj7FDgH8hXySSPDM7L66dtqWXA9dxXUEC01sD88gPdFav08SvvA8ni4sxOUSsGQEzRH9AxVHiSkck3sq1l0u2_3tP29naYNsl3mtCsRP=s0-d-e1-ft#https://assets.informz.net/aacu_nimble/data/images/Email-Banner-General.png?cb=595282" border="0" height="115" width="650" data-bit="iit"&gt;&lt;br&gt;&lt;/p&gt;

&lt;h2 align="center"&gt;Teaching with AI&lt;/h2&gt;

&lt;h4 align="center"&gt;A series of workshops designed to prepare faculty for a new era of human learning&lt;/h4&gt;

&lt;h3 align="center"&gt;August 31 – September 28, 2026&lt;br&gt;
Online&lt;/h3&gt;

&lt;h4 align="center"&gt;All workshops will be held from 2:00–3:00 p.m. ET.&lt;/h4&gt;

&lt;p&gt;"The emergence of powerful generative artificial intelligence (AI) tools is having a significant and disruptive impact on higher education today. Almost immediately after the release of ChatGPT in November 2022, students began leveraging it to help with a variety of course-related tasks, often including the completion of writing and other types of assignments. At the same time, nearly all business sectors now anticipate using generative AI in the workplace, and many are already reporting challenges filling roles that now require AI skills.&lt;br&gt;
&lt;br&gt;
"While the initial inclination may have been to limit AI’s influence in the classroom, higher education now has the companion challenge of preparing students for a world where working with AI is increasingly likely to be a job expectation and a sought-after competency. How can we ensure that our students achieve the learning outcomes we have designed for our courses while also preparing them for a world where collaborating with AI is increasingly expected? Responding to this question is the key purpose of this workshop series.&lt;br&gt;
&lt;br&gt;
"Led by authors José Antonio Bowen and C. Edward Watson, based on the soon-to-be published second edition of their book &lt;em&gt;Teaching with AI: A Practical Guide to a New Era of Human Learning&lt;/em&gt; (Johns Hopkins University Press, 2025).&lt;br&gt;
&lt;br&gt;
This four-part, live workshop series will transform how you teach in the age of AI.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://www.aacu.org/event/teaching-with-ai" target="_blank"&gt;Read the complete description and register on the AAC&amp;amp;U website&lt;/a&gt;&lt;/p&gt;</description>
      <link>https://dcsociologicalsociety.org/event-6753663</link>
      <guid>https://dcsociologicalsociety.org/event-6753663</guid>
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