Skip to content

Commit

Permalink
update
Browse files Browse the repository at this point in the history
  • Loading branch information
@ElisaWirsching
ElisaWirsching committed Dec 26, 2024
1 parent ebfe0b9 commit f8b184f
Show file tree
Hide file tree
Showing 3 changed files with 53 additions and 35 deletions.
44 changes: 29 additions & 15 deletions index.html
View file
Original file line number Diff line number Diff line change
@@ -1,15 +1,29 @@
---
layout: default
---

<div class="home">

<p>{% include image.html url="/images/headshot_new.jpg" width=450 height=500 align="right" %}Hello, and welcome to my homepage!<br><br>I am a postdoctoral associate at the <a href="https://csdp.princeton.edu/">Center for the Study of Democratic Politics</a> at Princeton University. In September 2025, I will join the <a href="https://www.lse.ac.uk/government">Government Department at the London School of Economics and Political Science</a> as an Assistant Professor. I received my PhD from the <a href="https://as.nyu.edu/departments/politics.html">Wilf Family Department of Politics</a> at New York University, where I was a graduate affiliate with the <a href="https://publicsafetylab.org/">NYU Public Safety Lab</a> and a fellow with the <a href="https://www.nyu.edu/academics/scholarly-strengths/urban-initiative/enroll-learn/urban-doctoral-fellowship-program/meet-the-fellows.html">Urban Initiative at NYU's Wagner Graduate School of Public Service</a>.<br><br>

My research focuses on American political institutions, bureaucratic politics, local government, and political methodology. My current work explores how incentives and selection in bureaucracies affect public policy and accountability. I approach these issues by examining strategic interactions among politicians, bureaucrats, and voters, and their impact on public service provision, regulatory policy, and the representativeness of government. My work leverages a range of research designs and data sources, including causal inference methods for observational data, text analysis, administrative records, spatial data, and game theory. My work is forthcoming in the <em>Journal of Politics</em> and <em>Political Analysis</em>.<br><br>

I also hold an MSc in Political Science and Political Economy from the London School of Economics and Political Science and a BA in Political Science and Economics from University of Mannheim. Before graduate school at NYU, I worked as a researcher in the Office of the Chief Economist at the European Bank for Reconstruction and Development, the Chair of Econometrics at University of Mannheim and the Leibniz Centre for European Economic Research.</p>

<br><br>

<!-- img src="/images/headshot1.jpg" alt="Picture" style="width:200px"> -->
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd">
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<meta http-equiv="Content-Style-Type" content="text/css">
<title></title>
<meta name="Generator" content="Cocoa HTML Writer">
<meta name="CocoaVersion" content="2575.2">
<style type="text/css">
p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times; -webkit-text-stroke: #000000}
p.p2 {margin: 0.0px 0.0px 12.0px 0.0px; font: 12.0px Times; -webkit-text-stroke: #000000}
p.p3 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times; -webkit-text-stroke: #000000; min-height: 14.0px}
span.s1 {font-kerning: none}
span.s2 {text-decoration: underline ; font-kerning: none; color: #0000e9; -webkit-text-stroke: 0px #0000e9}
</style>
</head>
<body>
<p class="p1"><span class="s1">--- layout: default ---</span></p>
<p class="p2"><span class="s1">{% include image.html url="/images/headshot_new.jpg" width=450 height=500 align="right" %}Hello, and welcome to my homepage!<br>
<br>
I am a postdoctoral associate at the <a href="https://csdp.princeton.edu/"><span class="s2">Center for the Study of Democratic Politics</span></a> at Princeton University. In September 2025, I will join the <a href="https://www.lse.ac.uk/government"><span class="s2">Government Department at the London School of Economics and Political Science</span></a> as an Assistant Professor. I received my PhD from the <a href="https://as.nyu.edu/departments/politics.html"><span class="s2">Wilf Family Department of Politics</span></a> at New York University, where I was a graduate affiliate with the <a href="https://publicsafetylab.org/"><span class="s2">NYU Public Safety Lab</span></a> and a fellow with the <a href="https://www.nyu.edu/academics/scholarly-strengths/urban-initiative/enroll-learn/urban-doctoral-fellowship-program/meet-the-fellows.html"><span class="s2">Urban Initiative at NYU's Wagner Graduate School of Public Service</span></a>.<br>
<br>
My research focuses on American political institutions, bureaucratic politics, local government, and political methodology. My current work explores how incentives and selection in bureaucracies affect public policy and accountability. I approach these issues by examining strategic interactions among politicians, bureaucrats, and voters, and their impact on public service provision, regulatory policy, and the representativeness of government. My work leverages a range of research designs and data sources, including causal inference methods for observational data, text analysis, administrative records, spatial data, and game theory. My work is forthcoming in the <i>Journal of Politics</i> and <i>Political Analysis</i>.<br>
<br>
I hold an MSc in Political Science and Political Economy from the London School of Economics and Political Science and a BA in Political Science and Economics from University of Mannheim. Before graduate school at NYU, I worked as a researcher in the Office of the Chief Economist at the European Bank for Reconstruction and Development, the Chair of Econometrics at University of Mannheim and the Leibniz Centre for European Economic Research.</span></p>
<p class="p3"><span class="s1"></span><br></p>
<p class="p3"><span class="s1"></span><br></p>
</body>
</html>
42 changes: 22 additions & 20 deletions research.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -402,6 +402,7 @@ <h2>
<a href="https://arthurspirling.org/">Arthur Spirling</a>, and
<a href="https://bstewart.scholar.princeton.edu/">Brandon M.
Stewart</a></i><br> <i>Forthcoming at Political Analysis</i><br>
<b>Winner of the 2022 PolMeth Best Poster Award</b><br>
<details>
<summary>
Abstract
Expand Down Expand Up @@ -509,26 +510,27 @@ <h2>
<p><br></p>
<li>
<b>Barriers to Representation: Selection Processes and Political
Diversity in US Urban Bureaucracy</b><br> <b>Abstract:</b> A rich body
of research emphasizes the importance of a representative bureaucracy
for public service provision, and reveals significant gaps in the
representation of partisan and racial groups in street-level
bureaucracies. What drives such misrepresentation across and within
agencies in professionalized local bureaucracies? Using a unique dataset
that tracks the characteristics and career trajectories of over 300,000
bureaucrats in New York City, this study presents three key findings.
First, there is notable sorting across agencies, with the police, fire,
and sanitation departments exhibiting a strong Republican, white, and
male predominance. Second, focusing specifically on recruitment at the
NYPD, I find that despite minimal disparities in both representation and
qualification among exam-takers, Republican and White candidates are
more likely to get hired. Counterfactual analyses indicate that
equalizing hiring rates across demographic groups could increase the
recruitment of underrepresented groups by up to 57%. Third, once hired,
Republican and White officers are also more likely to be promoted,
receive more departmental awards, and enjoy longer tenures compared to
their non-White and Democratic counterparts. By offering new evidence on
the determinants and institutional context of bureaucratic
Diversity in US Urban Bureaucracy</b><br> <b>Winner of the 2024 Best
Paper Award, APSA Urban and Local Politics Section</b><br>
<b>Abstract:</b> A rich body of research emphasizes the importance of a
representative bureaucracy for public service provision, and reveals
significant gaps in the representation of partisan and racial groups in
street-level bureaucracies. What drives such misrepresentation across
and within agencies in professionalized local bureaucracies? Using a
unique dataset that tracks the characteristics and career trajectories
of over 300,000 bureaucrats in New York City, this study presents three
key findings. First, there is notable sorting across agencies, with the
police, fire, and sanitation departments exhibiting a strong Republican,
white, and male predominance. Second, focusing specifically on
recruitment at the NYPD, I find that despite minimal disparities in both
representation and qualification among exam-takers, Republican and White
candidates are more likely to get hired. Counterfactual analyses
indicate that equalizing hiring rates across demographic groups could
increase the recruitment of underrepresented groups by up to 57%. Third,
once hired, Republican and White officers are also more likely to be
promoted, receive more departmental awards, and enjoy longer tenures
compared to their non-White and Democratic counterparts. By offering new
evidence on the determinants and institutional context of bureaucratic
representation, this study calls for a more nuanced understanding of how
and when it impacts governance outcomes. <br>
<a href="https://elisawirsching.github.io/research/barrierstorepresentation.pdf">
Expand Down
2 changes: 2 additions & 0 deletions research.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@ layout: page
<b>Multilanguage Word Embeddings for Social Scientists: Estimation, Inference and Validation Resources for 157 Languages</b><br>
<i>with <a href="http://prodriguezsosa.com/">Pedro L. Rodriguez</a>, <a href="https://arthurspirling.org/">Arthur Spirling</a>, and <a href="https://bstewart.scholar.princeton.edu/">Brandon M. Stewart</a></i><br>
<i>Forthcoming at Political Analysis</i><br>
<b>Winner of the 2022 PolMeth Best Poster Award</b><br>
<details>
<summary>Abstract</summary>
Word embeddings are now a vital resource for social science research. Unfortunately, it can be difficult to obtain high quality embeddings for non-English languages, and it may be computational expensive to do so. In addition, social scientists typically want to make statistical comparisons and do hypothesis tests on embeddings, but this is non-trivial with current approaches. We provide three new data resources designed to ameliorate the union of these issues: (1) a new version of <tt>fastText</tt> model embeddings, fit to Wikipedia corpora; (2) a multi-language "a la carte" (ALC) embedding version of the <tt>fastText</tt> model fit to Wikipedia corpora; (3) a multi-language ALC embedding version of the well-known <tt>GloVe</tt> model fit to Wikipedia corpora. These materials are aimed at "low resource" users who lack access to large corpora in their language of interest, or who lack access to the computational resources required to produce high-quality vector representations. We make these resources available for 30 languages, along with a code pipeline for another 127 languages available from Wikipedia corpora. We provide extensive validation of the materials, via reconstruction tests and some translation proofs-of-concept. We also conduct and report on human crowdworker tests, for our embeddings for Arabic, French, (traditional, Mandarin) Chinese, Japanese, Korean, Russian and Spanish. <br>
Expand All @@ -45,6 +46,7 @@ layout: page

<li>
<b>Barriers to Representation: Selection Processes and Political Diversity in US Urban Bureaucracy</b><br>
<b>Winner of the 2024 Best Paper Award, APSA Urban and Local Politics Section</b><br>
<b>Abstract:</b> A rich body of research emphasizes the importance of a representative bureaucracy for public service provision, and reveals significant gaps in the representation of partisan and racial groups in street-level bureaucracies. What drives such misrepresentation across and within agencies in professionalized local bureaucracies? Using a unique dataset that tracks the characteristics and career trajectories of over 300,000 bureaucrats in New York City, this study presents three key findings. First, there is notable sorting across agencies, with the police, fire, and sanitation departments exhibiting a strong Republican, white, and male predominance. Second, focusing specifically on recruitment at the NYPD, I find that despite minimal disparities in both representation and qualification among exam-takers, Republican and White candidates are more likely to get hired. Counterfactual analyses indicate that equalizing hiring rates across demographic groups could increase the recruitment of underrepresented groups by up to 57%. Third, once hired, Republican and White officers are also more likely to be promoted, receive more departmental awards, and enjoy longer tenures compared to their non-White and Democratic counterparts. By offering new evidence on the determinants and institutional context of bureaucratic representation, this study calls for a more nuanced understanding of how and when it impacts governance outcomes. <br>
<a href="https://elisawirsching.github.io/research/barrierstorepresentation.pdf"><div class="color-button">pdf</div></a>
</li><br>
Expand Down

0 comments on commit f8b184f

Please sign in to comment.