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BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
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DTSTART:20071104T020000
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TZNAME:PDT
DTSTART:20070311T020000
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BEGIN:VEVENT
SUMMARY:CSDE Computational Demography Working Group-
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260422T100000
DTEND;TZID=America/Los_Angeles:20260422T110000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/computational-demography-working-group-t
alks/
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DESCRIPTION:Event interval: Single day event
Campus location: Raitt H
all (RAI)
Online Meeting Link: https://csde.washington.edu/computatio
nal-demography-working-group-talks/
Campus room: 223
Accessibility
Contact: csde-prgm-coord@uw.edu
Event Types: Workshops
Link: http
s://csde.washington.edu/computational-demography-working-group-talks/
CATEGORIES:Center for Studies in Demography and Ecology
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BEGIN:VEVENT
SUMMARY:Evans School Research Seminar - Marilyn Rubin\, Distinguished Re
search Fellow\, School of Public Affairs and Administration\, Rutgers Un
iversity\, "\;Gender Responsive Budgeting in North America”\;
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260422T113000
DTEND;TZID=America/Los_Angeles:20260422T123000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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DTSTAMP:20260309T112022Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Campus room: 360
Accessibility Contact: cstruth@uw.
edu
Event Types: Lectures/Seminars
Wednesday\, Apri
l 22\, 11:30-12:30\, PAR360: Marilyn Rubin\, Distinguished Resea
rch Fellow\, School of Public Affairs and Administration\, Rutgers Unive
rsity\, "\;Gender Responsive Budgeting in North AmericaR
21\;
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Workshop - PAA 2026 Data Viz Office Hours
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260422T120000
DTEND;TZID=America/Los_Angeles:20260422T130000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/workshop/paa-data-viz-office-hours/
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ulty\, staff &\; students presenting at PAA 2026.
DTSTAMP:20260403T131412Z
DESCRIPTION:Event interval: Single day event
Campus location: Raitt H
all (RAI)
Accessibility Contact: CSDE Program Coordinator (csde-prgm-
coord@uw.edu)
Event Types: Workshops
Target Audience: Faculty\, st
aff & students presenting at PAA 2026.
Link: https://csde.washington.
edu/workshop/paa-data-viz-office-hours/
Join CSDE Training Core P
I Audrey Doré\;lien\, 2026-2027 CSDE Seminar Chair Min Cha and CSDE
Training Director Jessica Godwin to get feedback and consultation on fig
ures for your PAA oral presentations or posters. Both faculty and studen
ts are welcome!!
Please sign up for a consultation slot here.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Biased but Better? Minimax Estimation of Average Treatment Effec
ts | UW CSSS SEMINAR
LOCATION:SAV 409
DTSTART;TZID=America/Los_Angeles:20260422T123000
DTEND;TZID=America/Los_Angeles:20260422T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/biased-better-minimax-estimation-averag
e-treatment-effects
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DESCRIPTION:Event Types: Academics\,Lectures/Seminars
Link: https://c
sss.uw.edu/seminars/biased-better-minimax-estimation-average-treatment-e
ffects
Abstract:
In the social and biomedical sciences\,
researchers often seek unbiased estimators of causal effects. Yet unbia
sed estimators are often inadmissible\, in the sense that a biased alter
native will always have lower expected error. This raises a natural prac
tical question: how much is gained by using biased estimators instead? I
n this talk\, I present an algorithm for computing minimax estimators of
average-treatment effects from experimental data and compare their perf
ormance with that of the standard difference-in-means estimator.
Conor Mayo-Wilson is an associate professor in the philosophy depart
ment at the University of Washington and an affiliate faculty member in
the Center for Statistics in the Social Sciences. His philosophical inte
rests are rather broad\, spanning much of epistemology (esp. formal and
social)\, philosophy of science\, decision theory\, game theory\, and ph
ilosophy of statistics.
\;
washington.zoom.us…\;
CATEGORIES:Center for Statistics and Social Sciences
UID:http://uid.trumba.com/event/201235131
X-TRUMBA-LINK:https://soc.washington.edu/calendar?trumbaEmbed=view%3deve
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Workshop - Introduction to the Northwest Federal Statistica
l Research Data Center (NWFSRDC): Enabling Access to Confidential Microd
ata from U.S. Federal Government Agencies
DTSTART;TZID=America/Los_Angeles:20260422T123000
DTEND;TZID=America/Los_Angeles:20260422T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/workshop/introduction-to-the-northwest-f
ederal-statistics-research-data-center-nwfsrdc/
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DTSTAMP:20260410T132039Z
DESCRIPTION:Event interval: Single day event
Campus room: Zoom Link p
rovide upon registration.
Accessibility Contact: CSDE Program Coordin
ator (csde-prgm-coord@uw.edu)
Event Types: Workshops
Link: https:/
/csde.washington.edu/workshop/introduction-to-the-northwest-federal-stat
istics-research-data-center-nwfsrdc/
The Federal Statistical Rese
arch Data Center (FSRDC) network is comprised by Census-managed secure c
omputing labs within top educational and research institutions across th
e country \;where qualified researchers conduct approved statistical
analysis on non-public data. \;These data are collected by various
government agencies (Census Bureau\, NCHS\, BEA\, BLS\, SSA\, etc.) and
made available to local researchers through \;agreements with federa
l statistical agencies.
This workshop will give a general introdu
ction to- the data available in the University of Washington'\;s Nort
hwest FSRDC\, some examples of work done with different kinds of data\,
and the process of requesting access to this data.
The wo
rkshop will be online only\, and a Zoom link for online attendance will
be provided upon registration.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSSS Seminar - How Militarization Impacts the Climate Crisis: A
Global Perspective
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260422T123000
DTEND;TZID=America/Los_Angeles:20260422T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/how-militarization-impacts-climate-cris
is-global-perspective
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DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Online Meeting Link: https://washington.zoom.us/s/91612004
486
Campus room: 409
Accessibility Contact: csss@uw.edu
Event T
ypes: Lectures/Seminars
Link: https://csss.uw.edu/seminars/how-milita
rization-impacts-climate-crisis-global-perspective
Andrew
Jorgenson\, Professor of Sociology\, University of British Columbia
Wednesday\, April 22nd\, 2026 - 12:30 pm
Abstra
ct: \;
In this talk I will provide a broad overview of my collabo
rative research concerning the ways in which militarization\, as a form
of coercive power\, contributes to anthropogenic carbon emissions for na
tions throughout the world. First\, I will summarize research on the sho
rt-run and long-run effects of militarization on national carbon emissio
ns. Second\, I will describe research that focuses on how militarization
shapes the effect of economic growth on nations’\; carbon emission
s. Third\, I will summarize research on militarization facilitating and
supporting transnational capital in Global North nations outsourcing the
ir carbon pollution to Global South nations. This body of empirical work
serves as the foundation for a book in progress.
\;
Andrew J
orgenson is a Professor of Sociology and Founding Director of the Climat
e &\; Society Lab at the University of British Columbia\, and a Senio
r Research Fellow in the Department of Theoretical Economics at Vilnius
University. As an environmental sociologist trained in global political
economy\, he conducts macro-comparative research on the human dimensions
of global and regional environmental change\, with a focus on the socie
tal causes and consequences of the climate crisis. Hi work appears in va
rious disciplinary and interdisciplinary journals\, including American S
ociological Review\, American Journal of Sociology\, Social Forces\, Soc
ial Problems\, Nature Climate Change\, Environmental Research Letters\,
Nature Communications\, and Sustainability Science.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Workshop - Interpreting Biomarker Results
DTSTART;TZID=America/Los_Angeles:20260422T133000
DTEND;TZID=America/Los_Angeles:20260422T143000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/workshop/interpreting-biomarker-results/
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DTSTAMP:20260410T130455Z
DESCRIPTION:Event interval: Single day event
Campus room: Zoom Link p
rovide upon registration.
Accessibility Contact: CSDE Program Coordin
ator (csde-prgm-coord@uw.edu)
Event Types: Workshops
Link: https:/
/csde.washington.edu/workshop/interpreting-biomarker-results/
Thi
s workshop is an hourlong introduction to doing data analysis with bioma
rker data with CSDE Biodemography Lab Director Tiffany Pan.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CACHE Seminar - Integrating Government\, Consumer\, and Foundati
on Data to Study “\;Aging Climate Movers”\; Nationwide
DTSTART;TZID=America/Los_Angeles:20260423T110000
DTEND;TZID=America/Los_Angeles:20260423T120000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://agingclimatehealth.org/cache-online-seminars/
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che@colorado.edu
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DTSTAMP:20260319T151231Z
DESCRIPTION:Event interval: Single day event
Online Meeting Link: htt
ps://cuboulder.zoom.us/meeting/register/xlHN6VH6R--Jf5dR3ibJww
Access
ibility Contact: cache@colorado.edu
Event Types: Lectures/Seminars
Link: https://agingclimatehealth.org/cache-online-seminars/
Speakers: James Elliott\, Rice University\, and Alex Priest\, Univer
sity of Alberta
This seminar provides an overview of how
one can integrate diverse data sources to find\, track\, survey\, and i
nterview residents on the front lines of “\;climate retreat”\;
nationwide (many of whom are aging homeowners). It highlights relevant
challenges\, emergent insights\, and translation to web-based interactiv
e tools.
CATEGORIES:Center for Studies in Demography and Ecology
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BEGIN:VEVENT
SUMMARY:Graduate Student Town Hall
DTSTART;TZID=America/Los_Angeles:20260423T120000
DTEND;TZID=America/Los_Angeles:20260423T133000
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Graduate Students
DTSTAMP:20260306T134706Z
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Campus room: SAV 409
Accessibility Contact: https://depts.washington.edu/uwdrs/?_gl=1*1gm9md8
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Event sponsors: UW Department of Sociol
ogy
Target Audience: UW Graduate Students
This event is only o
pen to UW Sociology graduate students.
CATEGORIES:Sociology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Seminar - Data Equity and Identity: A Qualitative Analysis
of Public Feedback on Asian Racial Categories - Ninez Ponce
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260424T123000
DTEND;TZID=America/Los_Angeles:20260424T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/seminar/data-equity-and-identity-a-quali
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DTSTAMP:20260319T100908Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Online Meeting Link: https://washington.zoom.us/webina
r/register/WN_ArtF2ykuSWqtwqypHVaZYg#/registration
Campus room: 360Accessibility Contact: Maddie Farris - CSDE Program Coordinator (csde-
prgm-coord@uw.edu)
Event Types: Lectures/Seminars
Event sponsors:
P
opulation Health Initiative
Link: https://csde.washington.edu/sem
inar/data-equity-and-identity-a-qualitative-analysis-of-public-feedback-
on-asian-racial-categories/
Speaker: \;Ninez
Ponce\, Professor and Endowed Chair of Health Policy and Management &am
p\; Director of UCLA Center for Health Policy Research\, University of C
alifornia Los Angeles
Abstract: Proposed changes
to the federal racial and ethnic classification system in the United St
ates offer a unique opportunity to understand how the general public thi
nks about Asian American identity and how Asian populations should be cl
assified in federal data. The Improving Asian Classification Typologies
(ImpACT) project analyzes public comments submitted in response to two F
ederal Register Notices: (1) the OMB'\;s proposed revisions to Statis
tical Policy Directive 15\, 2023\, and (2) the U.S. Census Bureau'\;s
draft race and ethnicity coding guidelines\, 2024.Using a mixed dedu
ctive-inductive coding framework\, six coders working in pairs analyzed
comments to develop key themes. Overall\, we found the boundaries of the
Asian category are contested in the comments\, particularly at the inte
rsections with the Middle Eastern and North African\, White\, and Native
Hawaiian and Pacific Islander categories. The geographic subgroups used
to define Asian communities\, including East Asian\, Southeast Asian\,
and South Asian\, are similarly disputed\, particularly for communities
with identities that traverse regional boundaries. We also found disagre
ement over whether Census'\; pre-defined regional categories should b
e retained or eliminated\, with some commenters arguing that standardize
d groupings are essential for longitudinal research and reporting\, whil
e others contending that pre-defined categories introduce misclassificat
ion and can undermine community self-identification. Additional themes e
xamine debates over terminology\, data collection practices\, and how cl
assification decisions shape community visibility and health equity.
\;
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Careers in Sociology Visiting Speaker
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260428T120000
DTEND;TZID=America/Los_Angeles:20260428T130000
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Office at least ten days in advance at: (206) 543-6450/V\, (206) 543-64
52/TTY\, (206) 685-7264 (FAX)\, or dso@u.washington.edu.
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DTSTAMP:20260330T102055Z
DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Campus room: SAV 245
Accessibility Contact: To request
disability accommodation\, contact the Disability Services Office at lea
st ten days in advance at: (206) 543-6450/V\, (206) 543-6452/TTY\, (206)
685-7264 (FAX)\, or dso@u.washington.edu.
Event Types: Lectures/Semi
nars\,Special Events
Target Audience: Sociology Faculty and Graduate
Students
CATEGORIES:Sociology
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X-TRUMBA-LINK:https://soc.washington.edu/calendar?trumbaEmbed=view%3deve
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Computational Demography Working Group-PAA Practice Talks
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260429T100000
DTEND;TZID=America/Los_Angeles:20260429T110000
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Campus location: Raitt H
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Online Meeting Link: https://csde.washington.edu/computatio
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Campus room: 223
Accessibility
Contact: csde-prgm-coord@uw.edu
Event Types: Workshops
Link: http
s://csde.washington.edu/computational-demography-working-group-talks/
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Workshop - PAA 2026 Data Viz Office Hours
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260429T120000
DTEND;TZID=America/Los_Angeles:20260429T130000
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Campus location: Raitt H
all (RAI)
Accessibility Contact: CSDE Program Coordinator (csde-prgm-
coord@uw.edu)
Event Types: Workshops
Target Audience: Faculty\, st
aff & students presenting at PAA 2026.
Link: https://csde.washington.
edu/workshop/paa-data-viz-office-hours/
Join CSDE Training Core P
I Audrey Doré\;lien\, 2026-2027 CSDE Seminar Chair Min Cha and CSDE
Training Director Jessica Godwin to get feedback and consultation on fig
ures for your PAA oral presentations or posters. Both faculty and studen
ts are welcome!!
Please sign up for a consultation slot here.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Marginalized Regression for Bounded Outcomes with Floor and Ceil
ing Effects | UW CSSS SEMINAR
LOCATION:SAV 409
DTSTART;TZID=America/Los_Angeles:20260429T123000
DTEND;TZID=America/Los_Angeles:20260429T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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Link: https://c
sss.uw.edu/seminars/marginalized-regression-bounded-outcomes-floor-and-c
eiling-effects
Abstract: \;
Outcomes studied in soci
al science and health research frequently take the form of fractions or
percentages with a defined lower and upper limit\, such as the percentag
e of medication doses taken\, the rate of condom-protected sex\, and the
number of substance use-related problems endorsed in a screening questi
onnaire. Such data commonly exhibit floor and ceiling effects due to man
y participants that never engage in the outcome (e.g.\, never take presc
ribed medication) or are consistently at the upper limit (e.g.\, take al
l prescribed doses). Prevailing statistical approaches used to analyze s
uch data do not fully account for clusters of responses at the lower and
upper limits\, which risk invalid conclusions about the effectiveness o
f interventions and theoretical models. We introduce an accessible exten
sion to zero-inflated regression\, the marginalized zero- and N
-inflated binomial (MZNIB) model\, that can analyze fractions and percen
tage data on the entire range between zero and 100% with greater accurac
y than prevailing approaches when assessing naturally bounded outcomes w
ith floor and ceiling effects.
\;
Dr. David Huh is
the Director of the Methods Division at the UW Indigenous Wellness Resea
rch Institute and the Associate Director of the Methods Core at the UW B
ehavioral Research Center for HIV (BIRCH). \; A key emphasis of Dr.
Huh’\;s research is increasing the accessibility of statistical app
roaches that can more powerfully and accurately assess behavioral health
interventions and test theoretical models of health for both specific g
roups and broad populations.
washington.zoom.us…\;
CATEGORIES:Center for Statistics and Social Sciences
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSSS Seminar - Marginalized Regression for Bounded Outcomes with
Floor and Ceiling Effects
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260429T123000
DTEND;TZID=America/Los_Angeles:20260429T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Online Meeting Link: https://washington.zoom.us/s/91612004
486
Campus room: 409
Accessibility Contact: csss@uw.edu
Event T
ypes: Lectures/Seminars
Link: https://csss.uw.edu/seminars/marginaliz
ed-regression-bounded-outcomes-floor-and-ceiling-effects
David Huh\, Research Assistant Professor\, School of Social Work\, UW
Wednesday\, April 29th\, 2026 - 12:30 pm
Abstr
act: \;
Outcomes studied in social science and health research fr
equently take the form of fractions or percentages with a defined lower
and upper limit\, such as the percentage of medication doses taken\, the
rate of condom-protected sex\, and the number of substance use-related
problems endorsed in a screening questionnaire. Such data commonly exhib
it floor and ceiling effects due to many participants that never engage
in the outcome (e.g.\, never take prescribed medication) or are consiste
ntly at the upper limit (e.g.\, take all prescribed doses). Prevailing s
tatistical approaches used to analyze such data do not fully account for
clusters of responses at the lower and upper limits\, which risk invali
d conclusions about the effectiveness of interventions and theoretical m
odels. We introduce an accessible extension to zero-inflated regression
\, the marginalized zero- and \;N-inflated binomial (MZNIB) model\, t
hat can analyze fractions and percentage data on the entire range betwee
n zero and 100% with greater accuracy than prevailing approaches when as
sessing naturally bounded outcomes with floor and ceiling effects.
&#
160\;
Dr. David Huh is the Director of the Methods Division at the UW
Indigenous Wellness Research Institute and the Associate Director of th
e Methods Core at the UW Behavioral Research Center for HIV (BIRCH).
0\; A key emphasis of Dr. Huh’\;s research is increasing the access
ibility of statistical approaches that can more powerfully and accuratel
y assess behavioral health interventions and test theoretical models of
health for both specific groups and broad populations.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:China Studies Program - From Malthus to Musk: Searching for Popu
lation Equilibrium in East Asia
LOCATION:Student Union Building (HUB)
DTSTART;TZID=America/Los_Angeles:20260430T153000
DTEND;TZID=America/Los_Angeles:20260430T170000
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ter@uw.edu
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w.trumba.com…\;
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Asia Center
Center for Studies in Demography &\; Ecology
Henry
M. Jackson School of International Studies
DTSTAMP:20260316T162435Z
DESCRIPTION:Event interval: Single day event
Campus location: Student
Union Building (HUB)
Campus room: 337
Accessibility Contact: eace
nter@uw.edu
Event Types: Academics\,Lectures/Seminars\,Special Events
Event sponsors: East Asia Center\nCenter for Studies in Demography &
amp\; Ecology\nHenry M. Jackson School of International Studies
P
lease join the East Asia Center for a special public panel featuring:
Yong Cai
Associate Professor\, \;Department
of Sociology
The University of North Carolina at Chapel Hill
Feng Wang
Professor\, \;Sociology\, School of So
cial Sciences
University of California\, Irvine
Sara C
urran
Professor\, International Studies &\; Sociology
Director\, Center for Studies in Demography &\; Ecology
University
of Washington
James Lin
Associate Professor
\, International Studies &\; History
Chair\, Taiwan Studies Program
University of Washington
From Malthus’\;s warnings of ov
erpopulation to Musk’\;s urge to boost fertility\, the drastic turn
of humanity’\;s relationship with population growth is one of the
defining features of East Asian societies. Nowhere have demographic shif
ts been more seismic in their speed\, scale\, and scope than in East Asi
a over the past century. Populations in this region now simultaneously e
xhibit the world'\;s longest life expectancies and its lowest fertili
ty rates.
How did East Asian societies arrive at this point? Can
they return to replacement-level fertility? Echoing the historical contr
ast between East Asian and Western European demographic regimes\, we deb
ate the existence of a distinct "\;East Asian model"\; of demogr
aphic transition. Adopting a regional and comparative perspective\, we a
rgue that intense family competition and proactive government interventi
on—\;both operating within the context of deep-seated cultural trad
itions—\;have defined the region'\;s current demographic challen
ges.
We conclude\, however\, that policy interventions alone will
likely prove insufficient without addressing the fundamental shifts in
social values and the complex interplay of economic\, cultural\, and pol
itical factors driving this historic demographic transformation.
At the Jackson School\, opportunities and events are open to all eligibl
e persons regardless of race\, sex or other identity.
CATEGORIES:Center for Studies in Demography and Ecology
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nt%26eventid%3d198815616
END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Seminar - Population Association of America Annual Meeting
2026: Practice Talks
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260501T123000
DTEND;TZID=America/Los_Angeles:20260501T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/seminar/population-association-of-americ
a-annual-meeting-2026-practice-talks/
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rrington Hall (PAR)
X-TRUMBA-CUSTOMFIELD;NAME="Campus room";ID=28429;TYPE=SingleLine:360
X-TRUMBA-CUSTOMFIELD;NAME="Accessibility Contact";ID=62969;TYPE=SingleLi
ne:Maddie Farris - CSDE Program Coordinator (csde-prgm-coord@uw.edu)
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es/Seminars
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X-TRUMBA-CUSTOMFIELD;NAME="Event sponsors";ID=30383;TYPE=MultiLine:Population Health Initiative
DTSTAMP:20260317T115617Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Campus room: 360
Accessibility Contact: Maddie Farr
is - CSDE Program Coordinator (csde-prgm-coord@uw.edu)
Event Types: L
ectures/Seminars
Event sponsors: Population Health Initiative
Li
nk: https://csde.washington.edu/seminar/population-association-of-americ
a-annual-meeting-2026-practice-talks/
CSDE will be hosting its an
nual “\;PAA 2026 Practice Talks”\; during our regular seminar
time on Friday\, May 1st from 12:30-1:30 in 360 PAR. This is an in-perso
n only event. Please come listen to our trainees practice their presenta
tions and offer them your good feedback and wisdom! Your time and insigh
ts will be appreciated!
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Evans School Research Seminar - Craig McIntosh\, Professor\, Sch
ool of Global Policy and Strategy\, Co-Director of the Policy Design and
Evaluation Lab\, University of California\, San Diego (UCSD)\, “\;
Structured Payment in Pawnshop Borrowing: Mandates vs. Choi
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260504T113000
DTEND;TZID=America/Los_Angeles:20260504T123000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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ne:cstrut
h@uw.edu
X-TRUMBA-CUSTOMFIELD;NAME="Event Types";ID=30073;TYPE=CustomAsset:Lectur
es/Seminars
X-TRUMBA-CUSTOMFIELD;NAME="Event sponsors";ID=30383;TYPE=MultiLine:*C
o-sponsored with Department of Economics
DTSTAMP:20260309T112005Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Campus room: 360
Accessibility Contact: cstruth@uw.
edu
Event Types: Lectures/Seminars
Event sponsors: *Co-sponsore
d with Department of Economics
Monday\, May 4\, 11:30-12:30\, Savery 410:
Craig McIntosh\, Professor\, School of Global Policy and Strategy\,
Co-Director of the Policy Design and Evaluation Lab\, University of Cali
fornia\, San Diego (UCSD)\, “\;Structured Payment in Pawnshop B
orrowing: Mandates vs. Choice”\;
CATEGORIES:Center for Studies in Demography and Ecology
UID:http://uid.trumba.com/event/198435028
X-TRUMBA-LINK:https://soc.washington.edu/calendar?trumbaEmbed=view%3deve
nt%26eventid%3d198435028
END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Computational Demography Working Group-
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260506T100000
DTEND;TZID=America/Los_Angeles:20260506T110000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/computational-demography-working-group-t
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DTSTAMP:20260305T115101Z
DESCRIPTION:Event interval: Single day event
Campus location: Raitt H
all (RAI)
Online Meeting Link: https://csde.washington.edu/computatio
nal-demography-working-group-talks/
Campus room: 223
Accessibility
Contact: csde-prgm-coord@uw.edu
Event Types: Workshops
Link: http
s://csde.washington.edu/computational-demography-working-group-talks/
CATEGORIES:Center for Studies in Demography and Ecology
UID:http://uid.trumba.com/event/198268481
X-TRUMBA-LINK:https://soc.washington.edu/calendar?trumbaEmbed=view%3deve
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CACHE Webinar - Measuring Heat for Use in Population Research
DTSTART;TZID=America/Los_Angeles:20260506T110000
DTEND;TZID=America/Los_Angeles:20260506T153000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://docs.google.com/forms/d/e/1FAIpQLSfg_AK-qXxGbM6z5ygaDgp2rVSM
XO0qSKZcqKUfl2NclBrpZQ/viewform
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DTSTAMP:20260319T151706Z
DESCRIPTION:Event interval: Single day event
Accessibility Contact: c
ache@colorado.edu
Event Types: Workshops
Link: https://docs.google
.com/forms/d/e/1FAIpQLSfg_AK-qXxGbM6z5ygaDgp2rVSMXO0qSKZcqKUfl2NclBrpZQ/
viewform
PAA 2026 CACHE Workshop Registration: \;Measuring He
at for Use in Population Research \;
May 6\, 1-5:30 PM CT \;<
br>
So many questions arise when trying to measure heat as a heal
th exposure –\; let CACHE help! \; \;
Heat is one of
the most \;frequently \;examined environmental influences on po
pulation health\, and a wide variety of data sources exist to measure ex
posure. This workshop\, sponsored by the Center on Aging\, Health\, and
Environment \;(CACHE)\, provides an overview of heat measures and ex
amples of two\, including hands-on experience with code available via th
e CACHE website. \;Participants will generate temperature exposure m
easures from publicly available data\, as well as \;wet \;bulb t
emperatures. \;The Universal Thermal Climate Index data will also be
demonstrated and linked to population data. \;
The workshop&
#8217\;s first exercise uses data from \;two \;different sources
: \;National Oceanic and Atmospheric Administration \;(NOAA)
0\;weather-stations \;and ERA5-Land Reanalysis from the European Uni
on’\;s Copernicus Project. Both are publicly available. The worksho
p will review information on \;acquiring \;and \;cleaning
60\;daily \;temperature \;data for New York City\, as an exampl
e. Key is that \;air \;temperature \;as well as wet bulb tem
perature \;exposure variables are generated\, and at varying tempora
l resolution. On the CACHE website\, the code is embedded in an \;R
Markdown \;pdf file. \;
The second exercise \;demonst
rates \;how to construct severe heat measures using the Universal Th
ermal Climate Index (UTCI\, \;Copernicus \;ERA5-HEAT). \;It
starts by showing data manipulation from raster (grid data) to a tabular
dataset that obtains UTCI values for each municipality in Mexico \;
as an example. Then\, \;the data are mapped and analyzed as linked t
o population data. Finally\, \;the \;number of days of severe he
at (32°\;C UTCI and above) \;are \;generated. This \;cod
e\, also available on the \;CACHE website\, \;is part of the dem
onstration CACHE project “\;Heat\, Disability in older adults and C
are”\; from El Colegio de Mexico. \;
Lead Instructors:Dr. Frank Heiland\, CUNY \;Institute \;for \;Demographic&#
160\;Research \;
Dr. Alex Mikulas\, CACHE
Dr. \;Landy
\;Sanchez\, El \;Colegio \;de Mexico \;
Organizers:&#
160\;
Lori \;Hunter\, \;University \;of \;Colorado
60\;Boulder\, \;and \;Deborah \;Balk\, \;CUNY \;Inst
itute \;for \;Demographic \;Research \;
Please no
te you must be registered for PAA in order to attend. This workshop will
take place in St. Louis\, Missouri. Keep an eye out for an email in the
coming weeks with additional details. Questions? Reach out to cache@colorado
.edu \;
CATEGORIES:Center for Studies in Demography and Ecology
UID:http://uid.trumba.com/event/199035292
X-TRUMBA-LINK:https://soc.washington.edu/calendar?trumbaEmbed=view%3deve
nt%26eventid%3d199035292
END:VEVENT
BEGIN:VEVENT
SUMMARY:Evans School Research Seminar - : Michael Lens\, Professor of Ur
ban Planning and Public Policy\, Luskin School of Public Affairs\, Unive
rsity of California\, Los Angeles (UCLA)\, "\;Where the Hood At? Fif
ty Years of Change in Black Neighborhoods”\;
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260506T113000
DTEND;TZID=America/Los_Angeles:20260506T123000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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DTSTAMP:20260309T112123Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Campus room: 360
Accessibility Contact: cstruth@uw.
edu
Event Types: Lectures/Seminars
Event sponsors: *Co-sponsore
d with Department of Real Estate
Wednesday\, May 6
\, 11:30-12:30\, PAR360: Michael Lens\, Professor of Urban Plannin
g and Public Policy\, Luskin School of Public Affairs\, University of Ca
lifornia\, Los Angeles (UCLA)\, "\;Where the Hood At? Fifty Year
s of Change in Black Neighborhoods”\; [you may vi
ew his book here]
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Using Multilevel Modeling to Investigate Agitation in Long-Term
Care: Evidence from Older Chinese Residents | UW CSSS SEMINAR
LOCATION:SAV 409
DTSTART;TZID=America/Los_Angeles:20260506T123000
DTEND;TZID=America/Los_Angeles:20260506T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/using-multilevel-modeling-investigate-a
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Link: https://c
sss.uw.edu/seminars/using-multilevel-modeling-investigate-agitation-long
-term-care-evidence-older-chinese
Abstract: \;
Agita
tion is one of the most common and distressing behavioral symptoms among
older adults living in long-term care facilities\, particularly among r
esidents with cognitive impairment. Despite its clinical importance\, li
mited research has examined how individual and facility-level factors jo
intly contribute to agitation among older Chinese residents in instituti
onal settings. In this seminar\, Dr. Wang will introduce the application
of multilevel modeling to investigate agitation in long-term care facil
ities serving older Chinese adults. The presentation will discuss concep
tual considerations in studying behavioral symptoms across nested care e
nvironments\, methodological decisions in multilevel analysis\, and chal
lenges encountered when working with facility-based data. The study unde
rscores the need for person-centered strategies that consider residents&
#8217\; psychosocial needs\, family engagement\, and organizational supp
ort within long-term care settings.
\;
Kaipeng Wang
joined the University of Washington School of Social Work as an Associa
te Professor in January 2026. His research examines health disparities a
nd mental health among older adults and diverse populations\, including
ethnically minoritized and immigrant communities. Dr. Wang’\;s work
addresses end-of-life care planning\, cognitive health\, and social det
erminants of health\, aiming to improve health equity and quality of lif
e for aging populations.
washington.zoom.us…\;
CATEGORIES:Center for Statistics and Social Sciences
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BEGIN:VEVENT
SUMMARY:CSSS Seminar - Using Multilevel Modeling to Investigate Agitatio
n in Long-Term Care: Evidence from Older Chinese Residents
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260506T123000
DTEND;TZID=America/Los_Angeles:20260506T133000
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DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Online Meeting Link: https://washington.zoom.us/s/91612004
486
Campus room: 409
Accessibility Contact: csss@uw.edu
Event T
ypes: Lectures/Seminars
Link: https://csss.uw.edu/seminars/using-mult
ilevel-modeling-investigate-agitation-long-term-care-evidence-older-chin
ese
Kaipeng Wang\, Associate Professor\, School of Social
Work\, UW
Wednesday\, May 6th\, 2026 - 12:30 pm
Abstract: \;
Agitation is one of the most common and distres
sing behavioral symptoms among older adults living in long-term care fac
ilities\, particularly among residents with cognitive impairment. Despit
e its clinical importance\, limited research has examined how individual
and facility-level factors jointly contribute to agitation among older
Chinese residents in institutional settings. In this seminar\, Dr. Wang
will introduce the application of multilevel modeling to investigate agi
tation in long-term care facilities serving older Chinese adults. The pr
esentation will discuss conceptual considerations in studying behavioral
symptoms across nested care environments\, methodological decisions in
multilevel analysis\, and challenges encountered when working with facil
ity-based data. The study underscores the need for person-centered strat
egies that consider residents’\; psychosocial needs\, family engage
ment\, and organizational support within long-term care settings.
60\;
Kaipeng Wang joined the University of Washington School of Socia
l Work as an Associate Professor in January 2026. His research examines
health disparities and mental health among older adults and diverse popu
lations\, including ethnically minoritized and immigrant communities. Dr
. Wang’\;s work addresses end-of-life care planning\, cognitive hea
lth\, and social determinants of health\, aiming to improve health equit
y and quality of life for aging populations.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:NO CSDE SEMINAR: Population Association of America Annual Meetin
g 2026
DTSTART;VALUE=DATE:20260508
DTEND;VALUE=DATE:20260509
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
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Even
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Link: https://csde.washington.edu/seminar/no-s
eminar-population-association-of-america-annual-meeting-2026/
No
CSDE Seminar as CSDE staff\, faculty\, affiliates\, and trainees are at
the PAA conference in St. Louis on Friday\, May 8th\, 2026
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Computational Demography Working Group-Jing Xu &\; Yehon
g Deng
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260513T100000
DTEND;TZID=America/Los_Angeles:20260513T110000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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Campus location: Raitt H
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Online Meeting Link: https://csde.washington.edu/computatio
nal-demography-working-group-talks/
Campus room: 223
Accessibility
Contact: csde-prgm-coord@uw.edu
Event Types: Workshops
Link: http
s://csde.washington.edu/computational-demography-working-group-talks/
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:From Estimands to Robust Inference of Treatment Effects in Maste
r Protocol Trials | UW CSSS SEMINAR
LOCATION:SAV 409
DTSTART;TZID=America/Los_Angeles:20260513T123000
DTEND;TZID=America/Los_Angeles:20260513T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/estimands-robust-inference-treatment-ef
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DESCRIPTION:Event Types: Academics\,Lectures/Seminars
Link: https://c
sss.uw.edu/seminars/estimands-robust-inference-treatment-effects-master-
protocol-trials
Abstract:
A platform trial is an innovat
ive clinical trial design that uses a master protocol to evaluate multip
le treatments\, where patients are often assigned to different subsets o
f treatment arms based on individual characteristics\, enrollment timing
\, and treatment availability. While offering increased flexibility\, th
is constrained and non-uniform treatment assignment poses inferential ch
allenges\, with two fundamental ones being the precise definition of tre
atment effects and robust\, efficient inference on these effects. Such c
hallenges arise primarily because some commonly used analysis approaches
may target estimands defined on populations inadvertently depending on
randomization ratios or trial operation format\, thereby undermining int
erpretability. This article\, for the first time\, presents a formal fra
mework for constructing a clinically meaningful estimand with precise sp
ecification of the population of interest. Specifically\, the proposed e
ntire concurrently eligible (ECE) population not only preserves the inte
grity of randomized comparisons but also remains invariant to both the r
andomization ratio and trial operation format. Then\, we develop weighti
ng and post-stratification methods to estimate treatment effects under t
he same minimal assumptions used in traditional randomized trials. We al
so consider model-assisted covariate adjustment to fully unlock the effi
ciency potential of platform trials while maintaining robustness against
model misspecification. For all proposed estimators\, we derive asympto
tic distributions and propose robust variance estimators and compare the
m in theory and through simulations. The SIMPLIFY trial\, a master proto
col assessing continuation versus discontinuation of two common therapie
s in cystic fibrosis\, is utilized to further highlight the practical si
gnificance of this research. All analyses are conducted using the R pack
age RobinCID.
Ting Ye is an Assistant Professor in Biostatisti
cs at the University of Washington. Her research aims to accelerate huma
n health advances through data-driven discovery\, development\, and deli
very of clinical\, medical\, and scientific breakthroughs\, spanning the
design and analysis of complex innovative clinical trials\, causal infe
rence in biomedical big data\, and quantitative medical research. \;
wash
ington.zoom.us…\;
CATEGORIES:Center for Statistics and Social Sciences
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSSS Seminar - From Estimands to Robust Inference of Treatment E
ffects in Master Protocol Trials
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260513T123000
DTEND;TZID=America/Los_Angeles:20260513T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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DTSTAMP:20260319T143919Z
DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Online Meeting Link: https://washington.zoom.us/s/91612004
486
Campus room: 409
Accessibility Contact: csss@uw.edu
Event T
ypes: Lectures/Seminars
Link: https://csss.uw.edu/seminars/estimands-
robust-inference-treatment-effects-master-protocol-trials
Ting Ye\, Assistant Professor\, Department of Biostatistics\, UW
Wednesday\, May 13th\, 2026 - 12:30 pm
Abstract:A platform trial is an innovative clinical trial design that uses a ma
ster protocol to evaluate multiple treatments\, where patients are often
assigned to different subsets of treatment arms based on individual cha
racteristics\, enrollment timing\, and treatment availability. While off
ering increased flexibility\, this constrained and non-uniform treatment
assignment poses inferential challenges\, with two fundamental ones bei
ng the precise definition of treatment effects and robust\, efficient in
ference on these effects. Such challenges arise primarily because some c
ommonly used analysis approaches may target estimands defined on populat
ions inadvertently depending on randomization ratios or trial operation
format\, thereby undermining interpretability. This article\, for the fi
rst time\, presents a formal framework for constructing a clinically mea
ningful estimand with precise specification of the population of interes
t. Specifically\, the proposed entire concurrently eligible (ECE) popula
tion not only preserves the integrity of randomized comparisons but also
remains invariant to both the randomization ratio and trial operation f
ormat. Then\, we develop weighting and post-stratification methods to es
timate treatment effects under the same minimal assumptions used in trad
itional randomized trials. We also consider model-assisted covariate adj
ustment to fully unlock the efficiency potential of platform trials whil
e maintaining robustness against model misspecification. For all propose
d estimators\, we derive asymptotic distributions and propose robust var
iance estimators and compare them in theory and through simulations. The
SIMPLIFY trial\, a master protocol assessing continuation versus discon
tinuation of two common therapies in cystic fibrosis\, is utilized to fu
rther highlight the practical significance of this research. All analyse
s are conducted using the R package RobinCID.
Ting Ye is an Assis
tant Professor in Biostatistics at the University of Washington. Her res
earch aims to accelerate human health advances through data-driven disco
very\, development\, and delivery of clinical\, medical\, and scientific
breakthroughs\, spanning the design and analysis of complex innovative
clinical trials\, causal inference in biomedical big data\, and quantita
tive medical research.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Sociology Faculty Meeting
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260514T123000
DTEND;TZID=America/Los_Angeles:20260514T140000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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Office at least ten days in advance at: (206) 543-6450/V\, (206) 543-64
52/TTY\, (206) 685-7264 (FAX)\, or dso@u.washington.edu.
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DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Online Meeting Link: https://washington.zoom.us/j/91663439
807
Campus room: 409
Accessibility Contact: To request disability
accommodation\, contact the Disability Services Office at least ten days
in advance at: (206) 543-6450/V\, (206) 543-6452/TTY\, (206) 685-7264 (
FAX)\, or dso@u.washington.edu.
Event Types: Meetings
Target Audie
nce: Sociology Faculty
I. Announcements / Updates \;
A. Re
view and approve April minutes
B. Chair updates (Crowder)
C. Admin
istrative updates (Mookhtiar)
D. Undergraduate Program update (Crowde
r)
E. Graduate Program update (Quinn)
II. Old Business
III. New Business
IV. Executive Session
CATEGORIES:Sociology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Graduate Student Symposium
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260514T143000
DTEND;TZID=America/Los_Angeles:20260514T160000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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Office at least ten days in advance at: (206) 543-6450/V\, (206) 543-64
52/TTY\, (206) 685-7264 (FAX)\, or dso@u.washington.edu.
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160\;Earl \;&\; \;Edna \;Stice \;Memorial \;Lectu
reship \;in Social Science
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iology Faculty and Graduate Students
DTSTAMP:20260407T141822Z
DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Online Meeting Link: https://washington.zoom.us/j/97653316
579
Campus room: SAV 409
Accessibility Contact: To request disabil
ity accommodation\, contact the Disability Services Office at least ten
days in advance at: (206) 543-6450/V\, (206) 543-6452/TTY\, (206) 685-72
64 (FAX)\, or dso@u.washington.edu.
Event Types: Lectures/Seminars\,S
pecial Events
Event sponsors: The \;Earl \;&\; \;Edna&
nbsp\;Stice \;Memorial \;Lectureship \;in Social Science
Target Audience: Sociology Faculty and Graduate Students
CATEGORIES:Sociology
UID:http://uid.trumba.com/event/191947292
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Seminar - Enduring Illegality: Time and the State of Waitin
g in Undocumented Middle Life - Angela Garcia
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260515T123000
DTEND;TZID=America/Los_Angeles:20260515T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/seminar/enduring-illegality-time-and-the
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Evans School of Public Policy &\;
Governance
DTSTAMP:20260317T120025Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Online Meeting Link: https://washington.zoom.us/webina
r/register/WN_wtrRLfCUShaM-cx7iXCuJQ#/
Campus room: 360
Accessibil
ity Contact: Maddie Farris - CSDE Program Coordinator (csde-prgm-coord@u
w.edu)
Event Types: Lectures/Seminars
Event sponsors: Population He
alth Initiative
Evans School of Public Policy &\; Governance
Link: https://cs
de.washington.edu/seminar/enduring-illegality-time-and-the-state-of-wait
ing-in-undocumented-middle-life/
Speaker: \;
Angela Garcia\, \;Associate Professor of Crown Family School of Soci
al Work\, Policy and Practice\, The University of Chicago
Abstract: \;How does the state govern immigrant lives not
only through law\, but through time? This book talk centers “\;ille
gality”\; as a temporal mechanism of U.S. migration governance: by
withholding broad pathways to legal status\, the state sustains prolonge
d legal uncertainty\, blocked mobility\, and restricted cross-border mov
ement that structure the life course. Drawing on three waves of longitud
inal interviews with long-settled undocumented Mexican immigrants in Chi
cago\, the talk traces how those who migrated as young adults enter midd
le life in a condition of legal and temporal suspension that coincides w
ith peak responsibility for others—\;raising children in the United
States while supporting aging parents from afar. Examining the undocume
nted “\;sandwich generation\,”\; the talk shows how family car
egiving is reorganized through prolonged legal uncertainty: strain conce
ntrates when children are young\, responsibilities shift onto adolescent
s as they age\, and care for parents abroad becomes coordinated long-dis
tance support marked by the emotional costs of absence\, even as immigra
nts’\; own later-life security remains uncertain. By centering time
as a tool of migration governance\, the talk offers a structural accoun
t of how immigration policy produces inequality that outlasts any single
reform or administration\, embedding waiting\, deferral\, and constrain
ed mobility across the arc of adulthood.
Bio:
60\;Angela S. Garcí\;a is Associate Professor at the University of C
hicago’\;s Crown Family School of Social Work\, Policy\, and Practi
ce\, with affiliations in Sociology and Comparative Human Development. H
er research examines international immigration\, law\, and membership\,
focusing on migration governance and the shaping of immigrants’\; l
ong-term life chances. Her first book\, \;Legal Passing: Navigating
Undocumented Life and Local Immigration Law \;(University of Califor
nia Press 2019)\, compares how restrictive and accommodating local immig
ration contexts reorganize undocumented life and drive strategies of
220\;passing”\; within uneven legal landscapes. Her second book\,&#
160\;Enduring Illegality: Time and the State of Waiting in Undocumented
Middle Life \;(University of California Press 2026)\, shows how the
state uses time as a mechanism of immigration control\, with prolonged l
egal uncertainty shaping the life course into middle age through deferre
d futures and constrained caregiving\, work\, and health trajectories. G
arcí\;a currently studies documentation and municipal ID programs ac
ross cities in the Americas and Europe\, focusing on urban inclusion\, a
dministrative justice\, and policy diffusion. She earned a PhD in Sociol
ogy and an MA in Latin American Studies from the University of Californi
a\, San Diego\, where she was affiliated with the Center for Comparative
Immigration Studies and the Mexican Migration Field Research Program.
CATEGORIES:Center for Studies in Demography and Ecology
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BEGIN:VEVENT
SUMMARY:CSDE Computational Demography Working Group-
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260520T100000
DTEND;TZID=America/Los_Angeles:20260520T110000
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Online Meeting Link: https://csde.washington.edu/computatio
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Campus room: 223
Accessibility
Contact: csde-prgm-coord@uw.edu
Event Types: Workshops
Link: http
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CATEGORIES:Center for Studies in Demography and Ecology
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BEGIN:VEVENT
SUMMARY:Almost Magic: The Promise and Pitfalls of AI-Assisted Coding | U
W CSSS SEMINAR
LOCATION:SAV 409
DTSTART;TZID=America/Los_Angeles:20260520T123000
DTEND;TZID=America/Los_Angeles:20260520T133000
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Link: https://c
sss.uw.edu/seminars/almost-magic-promise-and-pitfalls-ai-assisted-coding
Abstract: \;
Artificial intelligence tools are demo
cratizing programming\, making computational research accessible to rese
archers who have little or no formal programming background. This semina
r offers a practical introduction to programming with AI assistance\, be
ginning with a brief history of how AI—\;and AI coding tools in par
ticular—\;came to be. We then discuss practical considerations for
programming with AI: how to work effectively with AI assistants\, how to
frame problems clearly\, and how to evaluate the code they produce. The
foregoing skills are essential in addressing “\;technical debtR
21\; in AI-assisted programming\, where generated code does not generali
ze easily to new features. The talk should provide insights into what AI
-assisted programming can and cannot do\, and a foundation for using AI
tools responsibly.
\;
Joseph L. Hellerstein receive
d his PhD in Computer Science from the University of California at Los A
ngeles. He has thirty years of experience in research and software engin
eering at the IBM TJ Watson Research Center\, Microsoft Corp. and Google
. He is a Fellow of the IEEE for contributions to the control engineerin
g of computer system performance\, and has approximately 200 peer-review
ed publications. At the eScience Institute\, his primary focus is on AI-
assisted software engineering. His role in the Department of Bioengineer
ing is teaching and research related to mechanistic models of biological
systems.
washington.zoom.us…\;
CATEGORIES:Center for Statistics and Social Sciences
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BEGIN:VEVENT
SUMMARY:CSSS Seminar - Almost Magic: The Promise and Pitfalls of AI-Assi
sted Coding
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260520T123000
DTEND;TZID=America/Los_Angeles:20260520T133000
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Campus location: Savery
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Online Meeting Link: https://washington.zoom.us/s/91612004
486
Campus room: 409
Accessibility Contact: csss@uw.edu
Event T
ypes: Lectures/Seminars
Link: https://csss.uw.edu/seminars/almost-mag
ic-promise-and-pitfalls-ai-assisted-coding
Joseph L Helle
rstein\, Senior Fellow\, eScience Institute\, Affiliate professor\, Alle
n School of Computer Science &\; Engineering\, Affiliate professor\,
Department of Bioengineering\, UW
Wednesday\, May 20th\,
2026 - 12:30 pm
Abstract: \;
Artificial intelligence
tools are democratizing programming\, making computational research acc
essible to researchers who have little or no formal programming backgrou
nd. This seminar offers a practical introduction to programming with AI
assistance\, beginning with a brief history of how AI—\;and AI codi
ng tools in particular—\;came to be. We then discuss practical cons
iderations for programming with AI: how to work effectively with AI assi
stants\, how to frame problems clearly\, and how to evaluate the code th
ey produce. The foregoing skills are essential in addressing “\;tec
hnical debt”\; in AI-assisted programming\, where generated code do
es not generalize easily to new features. The talk should provide insigh
ts into what AI-assisted programming can and cannot do\, and a foundatio
n for using AI tools responsibly.
\;
Joseph L. Hellerstein re
ceived his PhD in Computer Science from the University of California at
Los Angeles. He has thirty years of experience in research and software
engineering at the IBM TJ Watson Research Center\, Microsoft Corp. and G
oogle. He is a Fellow of the IEEE for contributions to the control engin
eering of computer system performance\, and has approximately 200 peer-r
eviewed publications. At the eScience Institute\, his primary focus is o
n AI-assisted software engineering. His role in the Department of Bioeng
ineering is teaching and research related to mechanistic models of biolo
gical systems.
CATEGORIES:Center for Studies in Demography and Ecology
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BEGIN:VEVENT
SUMMARY:SocSEM Speaker: Magda Boutros
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260521T123000
DTEND;TZID=America/Los_Angeles:20260521T140000
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Office at least ten days in advance at: (206) 543-6450/V\, (206) 543-64
52/TTY\, (206) 685-7264 (FAX)\, or dso@u.washington.edu.
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reship \;in Social Science
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DTSTAMP:20260303T133526Z
DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Campus room: 409
Accessibility Contact: To request disa
bility accommodation\, contact the Disability Services Office at least t
en days in advance at: (206) 543-6450/V\, (206) 543-6452/TTY\, (206) 685
-7264 (FAX)\, or dso@u.washington.edu.
Event Types: Lectures/Seminars
Event sponsors: The \;Earl \;&\; \;Edna \;Stice&n
bsp\;Memorial \;Lectureship \;in Social Science
Target Audien
ce: Sociology Faculty and Graduate Students
CATEGORIES:Sociology
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BEGIN:VEVENT
SUMMARY:CSDE Seminar - The Promises and Pitfalls of Social Scientific In
struction in U.S. Medical Schools - Lauren Olsen
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260522T123000
DTEND;TZID=America/Los_Angeles:20260522T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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DTSTAMP:20260318T153306Z
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Campus location: Parring
ton Hall (PAR)
Online Meeting Link: https://washington.zoom.us/webina
r/register/WN_56keS5XjThydaYu4w-9NnA#/registration
Campus room: 360Accessibility Contact: Maddie Farris - CSDE Program Coordinator (csde-
prgm-coord@uw.edu)
Event Types: Lectures/Seminars
Event sponsors:
P
opulation Health Initiative
Depar
tment of Bioethics and Humanities
Link: https://csde.washington.e
du/seminar/the-promises-and-pitfalls-of-social-scientific-instruction-in
-u-s-medical-schools/
Speaker: \;Lauren Olse
n\, Assistant Professor of College of Liberal Arts\, Temple University
Abstract: \;Medical schools have increasingly
incorporated the humanities and social sciences into their teaching\, s
eeking to make future physicians more empathetic and more concerned with
equity. In practice\, however\, these good intentions have not translat
ed into critical consciousness. Humanities and social sciences education
has often not only failed to deliver on its promise but even entrenched
the inequalities that the medical profession set out to address.
Lauren D. Olsen examines how U.S. medical school faculty conceived\, de
signed\, and implemented their vision of education\, tracing the failure
s of curricular reform. She argues that the way medical students encount
er humanities and social sciences material in practice has served to rei
nforce the status quo by teaching them to individualize systemic problem
s. Students learn to avoid advocacy\, critique\, and attention to struct
ural inequalities—\;while also gathering that it will be up to them
to find coping strategies for problems from burnout to systemic racism.
Olsen pinpoints the limitations of how clinical faculty understand the
humanities and social sciences\, arguing that in structuring and teachin
g courses\, they assumed\, reinforced\, and glorified a white\, elite mo
del of the medical profession. Showing how deeply intertwined profession
al and social identities are in medical education\, Curricular Injustice
has significant implications for how occupations\, organizations\, and
institutions shape understandings of inequality.
Bio: \;Lauren D. Olsen joined the Department of Sociology within th
e College of Liberal Arts at Temple University as a faculty member in 20
19. Before starting as an Assistant Professor at Temple University\, Dr.
Olsen completed her PhD in Sociology at the University of California Sa
n Diego (UCSD)\, where she also received her Master’\;s degree in t
he same field. Prior to that\, she received her Bachelor’\;s of Art
s degree in Religion from Columbia University. As a sociologist of medic
ine\, Dr. Olsen’\;s award-winning research has been published in fl
agship journals\, like the \;Journal of Health and Social Behavior\,
\;Social Science and Medicine\, and \;Social Problems \;and
has a new book out with Columbia University Press (2024)\, entitled
0\;Curricular Injustice: How U.S. Medical Schools Reproduce Inequalities
.
\;
Dr. Olsen’\;s research lies at the intersection of
the sociology of medicine\, knowledge\, education\, culture\, and social
inequalities. \;Focusing on the case of U.S. medical education\, sh
e studies how educators\, physicians\, and policy makers apply knowledge
to improve patient care and how the context in which these actors work
impacts how they utilize knowledge. Dr. Olsen addresses questions about
how these actors understand the sources of health and healthcare inequal
ities in the U.S. patient population\, how they decide what kinds of kno
wledge are clinically relevant\, and how they reproduce forms of inequal
ity in their educational materials and interactional processes.
\;
Building off of the research captured in her book\, \;Curricul
ar Injustice: How U.S. Medical Schools Reproduce Inequalities\, Dr. Olse
n is currently engaged in research on premedical students’\; experi
ences and expectations along their career path with a team of Temple Uni
versity undergraduates\, medical students’\; and educators’\;
conceptualizations and engagements with “\;service learning”\;
with physicians and social scientists at Lewis Katz School of Medicine
\, medical students plans to serve primarily underserved populations with
colleague Laura Orrico\, and medical school leaders’\; institution
al statements about national and local policies affecting their patients
\, students\, and communities with a Temple University undergraduate.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Memorial Day
DTSTART;VALUE=DATE:20260525
DTEND;VALUE=DATE:20260526
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
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Year: 2026
Quarter: S
pring
Event Types: Academics
Link: https://www.washington.edu/stud
ents/reg/2526cal.html#Q3
No classes. Most University offices and
buildings are closed. Check with specific offices to confirm.
CATEGORIES:Holidays
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Computational Demography Working Group-Jiahui Xu
LOCATION:Raitt Hall (RAI)
DTSTART;TZID=America/Los_Angeles:20260527T100000
DTEND;TZID=America/Los_Angeles:20260527T110000
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Campus location: Raitt H
all (RAI)
Online Meeting Link: https://csde.washington.edu/computatio
nal-demography-working-group-talks/
Campus room: 223
Accessibility
Contact: csde-prgm-coord@uw.edu
Event Types: Workshops
Link: http
s://csde.washington.edu/computational-demography-working-group-talks/
CATEGORIES:Center for Studies in Demography and Ecology
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BEGIN:VEVENT
SUMMARY:Evans School Research Seminar - Amanda Bankston\, Director of th
e Evans Policy Innovation Collaborative (EPIC) and Julia Karon\, PhD Stu
dent\, Evans School of Public Policy and Governance\, University of Wash
ington\, "\;EPIC Reflections: Three Cases of Communit
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260527T113000
DTEND;TZID=America/Los_Angeles:20260527T123000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
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DTSTAMP:20260309T112233Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Campus room: 360
Accessibility Contact: cstruth@uw.
edu
Event Types: Lectures/Seminars
Wednesday\, May
27\, 11:30-12:30\, PAR360: Amanda Bankston\, Director of
the Evans Policy Innovation Collaborative (EPIC) and Julia K
aron\, PhD Student\, Evans School of Public Policy and Governance\,
University of Washington\, "\;EPIC Reflections: Three Cases of C
ommunity-Engaged Research for Public Impact”\;
[This tal
k will describe empirical cases\, and relates to the 4/1 session]
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:One Model\, Many Methods: NIMBLE for Hierarchical Statistical Mo
deling in Social and Other Sciences | UW CSSS SEMINAR
LOCATION:SAV 409
DTSTART;TZID=America/Los_Angeles:20260527T123000
DTEND;TZID=America/Los_Angeles:20260527T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/one-model-many-methods-nimble-hierarchi
cal-statistical-modeling-social-and-other-sciences
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DTSTAMP:20260305T102305Z
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Link: https://c
sss.uw.edu/seminars/one-model-many-methods-nimble-hierarchical-statistic
al-modeling-social-and-other-sciences
Abstract:
People o
ften need to customize statistical models for particular problems and th
en consider a variety of methods for estimation and inference. Customiza
tions may include adding components across space\, time\, repeated sampl
ing\, networks\, non-parametric relationships or distributions\, or mult
iple data sources\, among others. Methods may include MCMC with potentia
lly many kinds of samplers\, empirical Bayes or marginal maximum likelih
ood\, Laplace approximation and its extension to adaptive Gauss-Hermite
quadrature\, integrated nested Laplace approximation and related methods
\, sequential Monte Carlo\, and others. Some methods represent hybrids\,
such as Particle MCMC combining particle filtering and MCMC. I will giv
e an overview of the NIMBLE framework (R package nimble) for such proble
ms. NIMBLE combines a language for writing models (an extension of the B
UGS/JAGS language) and an algorithm programming system from R\, in which
all built-in algorithms are written and users can write new algorithms.
Models and \;algorithms are automatically generated into C++ and co
mpiled\, and they can use derivatives of arbitrary order. NIMBLE has bee
n used in over 600 peer-reviewed publications across many fields\, with
a center of gravity in ecology and environmental science. I will illustr
ate NIMBLE with a 2-parameter logistic item-response theory model with n
onparametric distribution of abilities for education and health data and
with a multi-species occupancy model of bird species distributions in C
alifornia. The first example shows use of Bayesian nonparametric distrib
utions\, while the second shows configuration of MCMC samplers such as B
arker\, slice\, and HMC along with comparisons to Laplace and INLA-like
nested approximations. Finally I will point to future developments for N
IMBLE\, including greater scalability\, better workflows\, and better us
e from other packages.
\;
Perry de Valpine is a mat
hematical and statistical ecologist. His research interests include popu
lation dynamics\, theoretical ecology\, and computational methods for fi
tting biologically realistic models to data. He is a lead developer of N
IMBLE (r-nimble.org)\, a flexible computational system for hierarchical
statistical modeling. He has contributed to modeling and data analysis o
f many systems in environmental science\, including bird communities\, l
arge carnivore populations\, agricultural insect dynamics\, forest chang
e\, soil microbiomes\, plant chemical diversity\, fisheries\, and more.
De Valpine is a Professor in the Department of Environmental Science\, P
olicy\, and Management and teaches courses on statistical and mathematic
al modeling methods in ecology and environmental science.
washington.zoom.us&
#8230\;
CATEGORIES:Center for Statistics and Social Sciences
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BEGIN:VEVENT
SUMMARY:CSSS Seminar - One Model\, Many Methods: NIMBLE for Hierarchical
Statistical Modeling in Social and Other Sciences
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260527T123000
DTEND;TZID=America/Los_Angeles:20260527T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/one-model-many-methods-nimble-hierarchi
cal-statistical-modeling-social-and-other-sciences
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Campus location: Savery
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Online Meeting Link: https://washington.zoom.us/s/91612004
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Campus room: 409
Accessibility Contact: csss@uw.edu
Event T
ypes: Lectures/Seminars
Link: https://csss.uw.edu/seminars/one-model-
many-methods-nimble-hierarchical-statistical-modeling-social-and-other-s
ciences
Perry de Valpine\, Professor\, Department of Envi
ronmental Science\, Policy &\; Management\, University of California
\, Berkeley
Wednesday\, May 27th\, 2026 - 12:30 pm
Abstract:
People often need to customize statistical models for
particular problems and then consider a variety of methods for estimati
on and inference. Customizations may include adding components across sp
ace\, time\, repeated sampling\, networks\, non-parametric relationships
or distributions\, or multiple data sources\, among others. Methods may
include MCMC with potentially many kinds of samplers\, empirical Bayes
or marginal maximum likelihood\, Laplace approximation and its extension
to adaptive Gauss-Hermite quadrature\, integrated nested Laplace approx
imation and related methods\, sequential Monte Carlo\, and others. Some
methods represent hybrids\, such as Particle MCMC combining particle fil
tering and MCMC. I will give an overview of the NIMBLE framework (R pack
age nimble) for such problems. NIMBLE combines a language for writing mo
dels (an extension of the BUGS/JAGS language) and an algorithm programmi
ng system from R\, in which all built-in algorithms are written and user
s can write new algorithms. Models and \;algorithms are automaticall
y generated into C++ and compiled\, and they can use derivatives of arbi
trary order. NIMBLE has been used in over 600 peer-reviewed publications
across many fields\, with a center of gravity in ecology and environmen
tal science. I will illustrate NIMBLE with a 2-parameter logistic item-r
esponse theory model with nonparametric distribution of abilities for ed
ucation and health data and with a multi-species occupancy model of bird
species distributions in California. The first example shows use of Bay
esian nonparametric distributions\, while the second shows configuration
of MCMC samplers such as Barker\, slice\, and HMC along with comparison
s to Laplace and INLA-like nested approximations. Finally I will point t
o future developments for NIMBLE\, including greater scalability\, bette
r workflows\, and better use from other packages.
\;
Perry de
Valpine is a mathematical and statistical ecologist. His research inter
ests include population dynamics\, theoretical ecology\, and computation
al methods for fitting biologically realistic models to data. He is a le
ad developer of NIMBLE (r-nimble.org)\, a flexible computational system
for hierarchical statistical modeling. He has contributed to modeling an
d data analysis of many systems in environmental science\, including bir
d communities\, large carnivore populations\, agricultural insect dynami
cs\, forest change\, soil microbiomes\, plant chemical diversity\, fishe
ries\, and more. De Valpine is a Professor in the Department of Environm
ental Science\, Policy\, and Management and teaches courses on statistic
al and mathematical modeling methods in ecology and environmental scienc
e.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Seminar - Ice Geographies and Critical Demography - Jen Ros
e Smith
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260529T123000
DTEND;TZID=America/Los_Angeles:20260529T133000
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Online Meeting Link: https://washington.zoom.us/webina
r/register/WN_2LFo6vFKRTejjGFahFF-Cw#/registration
Campus room: 360Accessibility Contact: Maddie Farris - CSDE Program Coordinator (csde-
prgm-coord@uw.edu)
Event Types: Lectures/Seminars
Event sponsors:
P
opulation Health Initiative
Link: https://csde.washington.edu/sem
inar/ice-geographies-and-critical-demography/
Speaker: Jen Rose Smith\, Assistant Professor of Geography\, University of
Washington
Abstract: \;Ice animates the loo
k and feel of climate change. It is melting faster than ever before\, ca
using social upheaval among northern coastal communities and disrupting
a more southern\, temperate world as sea levels rise. Economic\, academi
c\, and activist stakeholders are increasingly focused on the unsettling
potential of ice as they plan for a future shaped by rapid transformati
on. Yet\, in \;Ice Geographies\, Jen Rose Smith demonstrates that ic
e has always been at the center of making sense of the world. Ice as hom
eland is often at the heart of Arctic and sub-Arctic ontologies\, cosmol
ogies\, and Native politics. Reflections on ice have also long been a co
nstitutive element of Western political thought\, but it often privilege
s a pristine or empty “\;nature”\; stripped of power relations
. Smith centers ice to study race and indigeneity by investigating ice r
elations as sites and sources of analysis that are bound up with colonia
l and racial formations as well as ice geographies beyond those formatio
ns. Smith asks\, How is ice a racialized geography and imaginary\, and h
ow does it also exceed those frameworks?
Bio:
60\;Jen Rose Smith (dAXunhyuu) is assistant professor of Geography and A
merican Indian Studies at the University of Washington. She works at the
intersection of critical Indigenous studies\, cultural human geography
\, and environmental humanities. Her book \;Ice Geographies: The Colo
nial Politics of Race &\; Indigeneity in the Arctic \;was publish
ed with Duke University Press and \;she has also published in \;
EPD: Society and Space\, \;The Geographical Journal\, and \;Tran
sactions of the Institute of British Geographers. \;She serves on th
e advisory board for the Eyak Cultural Foundation\, a non-profit that or
ganizes language and cultural revitalization gatherings.
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Addressing Measurement Error Bias in Grouped Continuous Data for
Causal Inferences | UW CSSS SEMINAR
LOCATION:SAV 409
DTSTART;TZID=America/Los_Angeles:20260603T123000
DTEND;TZID=America/Los_Angeles:20260603T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/addressing-measurement-error-bias-group
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Link: https://c
sss.uw.edu/seminars/addressing-measurement-error-bias-grouped-continuous
-data-causal-inferences
Abstract: \;
Applied researc
hers often analyze ordered categories that discretize continuous quantit
ies (income\, time frequencies\, biomarkers\, exposures). Treating such
indices as continuous or imputing bin midpoints are convenient but misle
ading strategies to estimate marginal effects in regression analyses. Th
is paper characterizes a form of measurement error that arises in those
strategies by design\, from the sampling mechanism\, which induces biase
d and inconsistent estimations that are model-dependent and a priori unp
redictable. I provide a solution to this problem\, a calibration method
- regularized interval regression - that treats responses as intervals o
f a latent distribution\, and predicts calibrated proxies robust to meas
urement error biases in downstream linear regressions. Monte Carlo evide
nce shows that\, relative to midpoint imputation and “\;ordinal-as-
continuous\,”\; the calibrated proxy yields unbiased linear estimat
es\, especially in the presence of right-censoring/top-coding. An exampl
e based on survey income data illustrates the source of this measurement
error but the approach generalizes to any grouped-continuous ordinal va
riables and has direct implications for observational and experimental d
esigns that rely on ordinal treatment measurements.
\;
Ramses is a Ph.D. candidate in the department of Political Science\,
and research assistant at the CS&\;SS consulting service. His resear
ch interests are in political economy and methodology. \;
washington.zoom
.us…\;
CATEGORIES:Center for Statistics and Social Sciences
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BEGIN:VEVENT
SUMMARY:CSSS Seminar - Addressing Measurement Error Bias in Grouped Cont
inuous Data for Causal Inferences
LOCATION:Savery Hall (SAV)
DTSTART;TZID=America/Los_Angeles:20260603T123000
DTEND;TZID=America/Los_Angeles:20260603T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csss.uw.edu/seminars/addressing-measurement-error-bias-group
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DTSTAMP:20260319T144552Z
DESCRIPTION:Event interval: Single day event
Campus location: Savery
Hall (SAV)
Online Meeting Link: https://washington.zoom.us/s/91612004
486
Campus room: 409
Accessibility Contact: csss@uw.edu
Event T
ypes: Lectures/Seminars
Link: https://csss.uw.edu/seminars/addressing
-measurement-error-bias-grouped-continuous-data-causal-inferences
Ramses Llobet\, Ph.D. Candidate in Political Science\, UW
Wednesday\, June 3rd\, 2026 - 12:30 pm
Abstract:&
#160\;
Applied researchers often analyze ordered categories that disc
retize continuous quantities (income\, time frequencies\, biomarkers\, e
xposures). Treating such indices as continuous or imputing bin midpoints
are convenient but misleading strategies to estimate marginal effects i
n regression analyses. This paper characterizes a form of measurement er
ror that arises in those strategies by design\, from the sampling mechan
ism\, which induces biased and inconsistent estimations that are model-d
ependent and a priori unpredictable. I provide a solution to this proble
m\, a calibration method - regularized interval regression - that treats
responses as intervals of a latent distribution\, and predicts calibrat
ed proxies robust to measurement error biases in downstream linear regre
ssions. Monte Carlo evidence shows that\, relative to midpoint imputatio
n and “\;ordinal-as-continuous\,”\; the calibrated proxy yield
s unbiased linear estimates\, especially in the presence of right-censor
ing/top-coding. An example based on survey income data illustrates the s
ource of this measurement error but the approach generalizes to any grou
ped-continuous ordinal variables and has direct implications for observa
tional and experimental designs that rely on ordinal treatment measureme
nts.
\;
Ramses is a Ph.D. candidate in the department of Poli
tical Science\, and research assistant at the CS&\;SS consulting serv
ice. His research interests are in political economy and methodology.
60\;
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:CSDE Closing Reception 2026: Celebration of Trainees'\; Accom
plishments
LOCATION:Parrington Hall (PAR)
DTSTART;TZID=America/Los_Angeles:20260605T123000
DTEND;TZID=America/Los_Angeles:20260605T133000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
URL:https://csde.washington.edu/seminar/closing-reception-2026-celebrati
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DTSTAMP:20260317T120616Z
DESCRIPTION:Event interval: Single day event
Campus location: Parring
ton Hall (PAR)
Campus room: 320
Accessibility Contact: Maddie Farr
is - CSDE Program Coordinator (csde-prgm-coord@uw.edu)
Event Types: C
eremonies
Link: https://csde.washington.edu/seminar/closing-reception
-2026-celebration-of-trainees-accomplishments/
CATEGORIES:Center for Studies in Demography and Ecology
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Juneteenth
DTSTART;VALUE=DATE:20260619
DTEND;VALUE=DATE:20260620
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
URL:https://www.washington.edu/students/reg/2526cal.html#Q3
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Year: 2026
Quarter: S
ummer
Event Types: Academics
Link: https://www.washington.edu/stud
ents/reg/2526cal.html#Q3
No classes. Most University offices and
buildings are closed. Check with specific offices to confirm.
CATEGORIES:Holidays
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BEGIN:VEVENT
SUMMARY:Independence Day (Observed)
DTSTART;VALUE=DATE:20260703
DTEND;VALUE=DATE:20260704
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
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DESCRIPTION:Event interval: Single day event
Year: 2026
Quarter: S
ummer
Event Types: Academics
Link: https://www.washington.edu/stud
ents/reg/2526cal.html#Q3
No classes. Most University offices and
buildings are closed. Check with specific offices to confirm.
CATEGORIES:Holidays
UID:http://uid.trumba.com/event/177468213
X-TRUMBA-LINK:https://soc.washington.edu/calendar?trumbaEmbed=view%3deve
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Labor Day
DTSTART;VALUE=DATE:20260907
DTEND;VALUE=DATE:20260908
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
URL:https://www.washington.edu/students/reg/2627cal.html#Q3
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Year: 2026
Quarter: A
utumn
Event Types: Academics
Link: https://www.washington.edu/stud
ents/reg/2627cal.html#Q3
No classes. Most University offices and
buildings are closed. Check with specific offices to confirm.
CATEGORIES:Holidays
UID:http://uid.trumba.com/event/191299757
X-TRUMBA-LINK:https://soc.washington.edu/calendar?trumbaEmbed=view%3deve
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END:VCALENDAR