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Center for Studies in Demography and Ecology

Introduction to Data Management Series (Affiliate Jacqueline Meijer-Irons facilitates final workshop on 5/4/2018)

This Spring, Global WACh and the Center for Studies of Demography and Ecology (CSDE) present a four-part skills series:  Introduction to Data Management. This series is designed to help students who aspire to do research develop skills with methodologies, platforms, and data sets commonly used by research teams at the University of Washington and beyond.

Affiliate Jacqueline Meijer-Irons, a Demographic Research Scientist, will be the CSDE facilitator for the final workshop, Intro to Analyzing Demographic and Health Surveys.

In this Series, students will be introduced to a framework for data management and several tools and analysis techniques often used to answer research questions.  The series is suited to masters and PhD-level students at the University of Washington with some exposure to health research in a local or global context. Faculty members are welcome to refer their research assistants or other members of their team who will benefit from any or all workshops. Join us for:

INTRO TO DATA MANAGEMENT

Brandon Guthrie, PhD, MPH
April 6th 2018, 2:00-4:00PM
Health Sciences T-360A
Register Here: https://goo.gl/forms/Vle0ttWedePOFHtA3

OPEN DATA KIT

Keshet Ronen, PhD
April 13th 2018, 9:00AM-12:00PM
Health Sciences T-360A
Register Here: https://goo.gl/forms/lYcLPMzWODHu0Q172

REDCap

Brandon Guthrie, PhD, MPH
April 27th 2018, 9:00AM-12:00PM
Health Sciences T-360A
Register Here: https://goo.gl/forms/FYUGY10UojgNL2jd2

ANALYZING DHS DATA

Jacqueline Meijer-Irons, PhD
May 7th, 2018, 9:00AM-12:00PM
Savery Hall 117
Register Here: https://goo.gl/forms/k8XNx0SfancZ9SfH2 (For CSDE-affiliates)

Participants are welcome to, but are not required, to register for all four workshops. Plan to bring their own laptops for all workshops except for Part 4: DHS Data Program, which will be held in a computer lab on campus.  Space is limited for each workshop so please register early!

Call for Applications – Summer Institute in Computational Social Science, Seattle

From Monday, June 18 to Friday, June 22, the Summer Institute in Computational Social Science is sponsoring a Seattle partner location hosted at the University of Washington. SICSS is for both social scientists and data scientists, broadly conceived, and the program is intended for graduate students and others doing computational social science research at the University of Washington and in the broader Seattle and Puget Sound area. Participants in SICSS will gain hands-on experience in working with computational methods, and will be pushed to think more deeply about applying those methods to social-science research problems. A primary goal of SICSS is to bring together scholars from a range of computational and social-science background, to share their complementary strengths and enhance each other’s work.

To apply, please submit a paragraph expressing your interest in the program, a current CV, and your responses to a few questions about background and interests to https://goo.gl/forms/nH97Fg7bZ7XsXmQ73. Applications will be due May 4, with decision notifications by May 18. Due to limited space, up to twenty-five participants will be invited.

SICSS-Seattle is sponsored by the Sloan Foundation, the Russell Sage Foundation, and the eScience Institute and the Center for Studies in Demography and Ecology at the University of Washington. There is no cost to participate. Please see https://compsocialscience.github.io/summer-institute/2018/seattle/ for further information about the program and schedule, and direct any questions to sicss.seattle@gmail.com.

Summer Institute in Computational Social Science, Seattle

CSDE trainee and fellow Connor Gilroy is organizing a Seattle satellite location of the Summer Institute in Computational Social Science. SICSS-Seattle will be held from Monday, June 18 to Friday, June 22, at the eScience Institute of the University of Washington. Applications are open through May 4, and you can apply here.

SICSS is for both social scientists and data scientists, broadly conceived, and the program is intended for graduate students and others doing computational social science research at the University of Washington and in the broader Seattle and Puget Sound area. Participants in SICSS will gain hands-on experience in working with computational methods, and will be pushed to think more deeply about applying those methods to social-science research problems. A primary goal of SICSS is to bring together scholars from a range of computational and social-science background, to share their complementary strengths and enhance each other’s work.

Interested individuals should submit a paragraph expressing their interest in the program, a current CV, and responses to a few questions about background and interests to https://goo.gl/forms/nH97Fg7bZ7XsXmQ73. Accepted participants will be notified by May 18. Due to limited space, up to twenty-five participants will be invited.

SICSS-Seattle is sponsored by the Sloan Foundation, the Russell Sage Foundation, and the eScience Institute and the Center for Studies in Demography and Ecology at the University of Washington. There is no cost to participate. Please see https://compsocialscience.github.io/summer-institute/2018/seattle/ for further information about the program and schedule, and direct any questions to sicss.seattle@gmail.com.

Epidemiologist, Behavioral Surveillance Team

The Division of HIV/AIDS Prevention is seeking an Epidemiologist to serve on the Behavioral Surveillance Team (BST) in the Behavioral and Clinical Surveillance Branch. 

The incumbent will serve as the team’s Activity Lead for Reporting and Dissemination and support the National HIV Behavioral Surveillance (NHBS) system. The incumbent will be responsible for leading, developing, and overseeing key data dissemination products and collaborations with internal and external partners using NHBS data. Key responsibilities also include expanding NHBS impact through national and local dissemination; participating in team leadership; and mentoring junior scientists. The position requires experience leading and collaborating on surveillance or epidemiologic research activities and conducting and disseminating multivariable data analysis. In addition to technical expertise, the position requires excellent oral and written communication skills, strong interpersonal skills, and preference for working in a team environment.

Target grade for the position is an Epidemiologist, GS-601-14, or equivalent Commissioned Corp Officers. All qualified individuals are encouraged to apply at the job posting below.

 

USAJobs Announcement Numbers: 

HHS-CDC-M5-18-10179910

https://www.usajobs.gov/GetJob/ViewDetails/496046800

 

HHS-CDC-D5-18-10179909

https://www.usajobs.gov/GetJob/ViewDetails/496049700

Probabilistic Method for Combining Internal Migration Data

Guy Abel, Asian Demographic Research Institute and the Vienna Institute of Demography

An Earl and Edna Stice Memorial Lecture

In order to fully understand the causes and consequences of population migration, researchers and policy makers require timely and consistent data. Migration data are commonly obtained from censuses, registers or surveys. Each of these data sources can vary in their measurement of accuracy, coverage of population, undercount and definitions of a migration event. This paper proposes a Bayesian probabilistic methodology to harmonize migration data from different sources. In particular, we build a hierarchical model for combining migration data sources in the USA between 1980 and 2016. The model allows for estimates of true migration flows that explicitly compensates for the inadequacies in each data source and provides one-step ahead forecasts of bilateral migration patterns.

Postdoctoral Fellow: Health and Demographic Disparities in Recovery from Hurricane Katrina

The Center for Studies of Displaced Populations Center for Studies of Displaced Populations and the Department of Global Community Health and Behavioral Scienceshttps://sph.tulane.edu/gchb/home wish to recruit a postdoctoral fellow to work with us on our NIH Program, “Health and Demographic Disparities in Recovery from Hurricane Katrina (HDDR-HD)”, or KATRINA@10.

The ideal candidate would have very good quantitative analysis and writing skills, very good (or at least some genuine interest in) qualitative approaches, and very good Vietnamese language ability. The start date would be summer or early fall of 2018. Duration is one year with a possible second year. Expected salary is $50k plus benefits.

You can view the full fellowship posting here. If qualified and interested, please email: Mark J. VanLandingham, Ph.D. at mvanlan [at] tulane [dot] edu

Sara Curran Discusses the Implications of the 2020 Census Citizenship Question

Yesterday, CSDE Director Sara Curran wrote an op-ed for The Seattle Times about the most recent revision to the 2020 Census form, which now asks respondents to report on their U.S. citizenship. Curran posits that the inclusion of this question will have a range of implications — including a systematic undercount of U.S. residents, and growing potential for security breaches of Census data — that will jeopardize a complete and fair census.

You can read Sara’s full essay below.

Harnessing Big Data to Halt HIV (R01 Clinical Trial Optional)

The purpose of this Funding Opportunity Announcement (FOA) is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science (BDS). This FOA will support projects to assemble diverse big data sources, conduct robust and reproducible analyses, and create meaningful visualizations of big data, as well as, engage ethical experts where appropriate to ensure the development of this scientific area is guided by ethical principles.

Because many of our Affiliates will be at PAA 2018 this Friday, there is no CSDE Seminar this week. If you’re headed to the conference as well, make sure you stop by some of our Affiliates’ presentations! You can see a list of CSDE speakers, topics, and times here.

We will resume next Friday on May 4 with a special Earl and Edna Stice Memorial Lecture–join Guy Abel as he discusses how to use a Bayesian probabilistic methodology to harmonize migration data from different sources.