CSDE Affiliate Jon Wakefield has published a new article in Epidemics entitled “Association between pertussis vaccination coverage and other sociodemographic factors and pertussis incidence using surveillance data“. The objective of this study was to characterize the association between pertussis vaccination coverage and sociodemographic factors and pertussis incidence at the school district level in King County, Washington, USA. The authors used monthly pertussis incidence data for all ages reported to the Public Health Seattle and King County between January 1, 2010 and December 31, 2017 to obtain school district level pertussis incidence.

Please join us for a workshop on Dryad & NIH data management plans with instructor Phil Hurvitz on May 24th, at 10:30am! The workshop will take place online and you can find the zoom link here!
The NIH has instituted a new policy, effective January 25, 2023, requiring each submitted proposal to include a Data Management and Sharing (DMS) plan. Under the DMS policy, NIH expects that investigators and institutions: 1) plan and budget for the managing and sharing of data; 2) submit a DMS plan for review when applying for funding; 3) comply with the approved DMS plan

Under the DMS policy, NIH expects that investigators and institutions:

• Plan and budget for the managing and sharing of data
• Submit a DMS plan for review when applying for funding
• Comply with the approved DMS plan

This workshop will cover:

• An overview of what is required in the DMS plan
• How to prepare for a DMS plan
• What CSDE can do to support drafting a DMS plan
• Long-term data storage and dissemination options, including Dryad.

Presenters:

• CSDE Research Scientist and UW Data Collaborative Director Phil Hurvitz
• UW Research Data Services Librarian Jenny Muilenburg.

The Association of Population Centers in collaboration with SocArXiv has launched a new platform for publishing pre-prints, works in progress, etc.  APC ArXiv (APCA) Working Paper Series is now open for sharing your research quickly. This resource is available to faculty and students affiliated with an APC member organization, which includes CSDE. We encourage you submit your population research papers to this new platform and, if you do, please let us know, so that we can announce the publication in e-news!

If you’re interested in studying adolescent social and health development across the life course, along with rich social, biological, and health data, you might consider proposing research with the Add Health Study data. CSDE now hosts the restricted-use, Add Health study data modules on the UW Data Collaborative.

Add Health (The National Longitudinal Study of Adolescent to Adult Health) is a  the largest, most comprehensive longitudinal survey of adolescents ever undertaken, with a US-representative sample of over 20,000 adolescents who were in grades 7-12 during the 1994-95 school year, and who have been followed for five waves to date, most recently up to 2016-18. New data sets are added periodically, and the full restricted data catalog can be viewed at the CPC Data Portal.

The survey data contain demographic, social, familial, socioeconomic, behavioral, psychosocial, cognitive, and health survey data. Other information includes school, neighborhood, and other contextual information, as well as biological data, such as genetic markers, blood-based assays, and anthropometrics. Add Health provides publicly accessible data containing a subset of the full sample as well as restricted-use data sets containing data on all study participants. CSDE’s contract with Add Health allows authorized researchers to use the complete restricted-use data sets on our secure servers.

The CSDE Seminar Series hosted a panel on Add Health on March 3, 2020, with presentations from Dr. Robert Hummer (Add Health director), Sydney Will (Add Health Data Dissemination & Contracts Manager), Dr. Luciana Hebert (Assistant Research Professor at WSU), and Dr. Philip Hurvitz (CSDE Research Scientist and UWDC Director). We covered a brief introduction to getting access to the Add Health on the UWDC, history and uses of the Add Health study and data, and some current research using the data sets. The seminar was recorded, and the video can be viewed at https://youtu.be/DcYlqLRx1-Q?t=89.

Add Health data have been used in thousands of publications (see https://addhealth.cpc.unc.edu/publications/) and the data housed at CSDE were used in several publications (Esposito et al., 2017; Zamora-Kapoor, Hebert, Montanez, et al., 2020; Zamora-Kapoor, Hebert, Montañez, et al., 2020).

To obtain access to the data hosted by CSDE on the UWDC, see https://dcollab.uw.edu/data/add-health/

Please join us for a workshop on Dryad & NIH data management plans with instructor Phil Hurvitz on May 24th, at 10:30am! The workshop will take place online and you can find the zoom link here!
The NIH has instituted a new policy, effective January 25, 2023, requiring each submitted proposal to include a Data Management and Sharing (DMS) plan. Under the DMS policy, NIH expects that investigators and institutions: 1) plan and budget for the managing and sharing of data; 2) submit a DMS plan for review when applying for funding; 3) comply with the approved DMS plan

Under the DMS policy, NIH expects that investigators and institutions:

• Plan and budget for the managing and sharing of data
• Submit a DMS plan for review when applying for funding
• Comply with the approved DMS plan

This workshop will cover:

• An overview of what is required in the DMS plan
• How to prepare for a DMS plan
• What CSDE can do to support drafting a DMS plan
• Long-term data storage and dissemination options, including Dryad.

Presenters:

• CSDE Research Scientist and UW Data Collaborative Director Phil Hurvitz
• UW Research Data Services Librarian Jenny Muilenburg.

Please join CSDE as we host Dr. Elizabeth Roberto, Department of Sociology at Rice University for her talk “Constructing Segregation: Examining Social and Spatial Division in Road Networks”. For this talk Dr. Roberto will be discussing how her paper develops a novel approach that identifies missing road segments that we would expect to exist in a city’s road network given the surrounding infrastructure. They find that unexpected disconnectivity in a city’s road network is associated with racial differences in nearby areas and contributes to higher levels of segregation at the local and city level. The findings emphasize the power of the built environment and suggest that road networks warrant more attention as a factor that may contribute to the persistence of segregation.

Please join CSDE as we host Dr. Elizabeth Roberto, Department of Sociology at Rice University for her talk “Constructing Segregation: Examining Social and Spatial Division in Road Networks”. For this talk Dr. Roberto will be discussing how her paper develops a novel approach that identifies missing road segments that we would expect to exist in a city’s road network given the surrounding infrastructure. They find that unexpected disconnectivity in a city’s road network is associated with racial differences in nearby areas and contributes to higher levels of segregation at the local and city level. The findings emphasize the power of the built environment and suggest that road networks warrant more attention as a factor that may contribute to the persistence of segregation.

Please join CSSS for their next speaker in the Center for Statistics and the Social Sciences Seminar Series. On Wednesday, May 24th at 12:30 pm, Oscar Olvera Astivia, Assistant Professor of Measurement and Statistics, will give a seminar titled, “How to think clearly about the central limit theorem.”

Before the seminar begins, the Center for Statistics and the Social Sciences will present letters of recognition to PhD students who have completed the respective tracks in their PhD Programs. This year, we will congratulate 15 students from the following departments: the Evans School of Public Policy and Governance, Foster School of Business, School of Social Work, Urban Design and Planning, Statistics, Political Science, and Sociology.

This seminar will be offered as a hybrid session. Below please find the abstract and information about joining in-person or on Zoom.

Abstract:

The central limit theorem (CLT) is one of the most important theorems in statistics, and it is often introduced to social sciences researchers in an introductory statistics course. However, the recent replication crisis in the social sciences prompts us to investigate just how common certain misconceptions of statistical concepts are. The main purposes of this article are to investigate the misconceptions of the CLT among social sciences researchers and to address these misconceptions by clarifying the definition and properties of the CLT in a manner that is approachable to social science researchers. As part of our article, we conducted a survey to examine the misconceptions of the CLT among graduate students and researchers in the social sciences. We found that the most common misconception of the CLT is that researchers think the CLT is about the convergence of sample data to the normal distribution. We also found that most researchers did not realize that the CLT applies to both sample means and sample sums, and that the CLT has implications for many common statistical concepts and techniques. Our article addresses these misconceptions of the CLT by explaining the preliminaries needed to understand the CLT, introducing the formal definition of the CLT, and elaborating on the implications of the CLT. We hope that through this article, researchers can obtain a more accurate and nuanced understanding of how the CLT operates as well as its role in a variety of statistical concepts and techniques. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

This seminar will be located at 409 Savery Hall

To join by Zoom, please use the information below.

Join Zoom Meeting

https://washington.zoom.us/j/91889204671

For this week’s Computational Demography Working Group (May 24 from 3-4pm), Aasli Nur, T32 CSDE Fellow and Sociology PhD student will join present her research project which uses an agent-based model, FPsim, to apply a more contextualized, women-centered approach to the study of family planning. Her research interests center on gender, fertility, and family planning, with a particular focus on women’s contraceptive autonomy. She will will introduce FPsim, an open-source tool written in Python and developed by the Institute for Disease Modeling at the Bill and Melinda Gates Foundation.  This is the first of two sessions about FPsim. The second session will be held on 5/31/23.