This free virtual event is hosted by Data Science @ UW. The theme for 2021 is Data Science for the Social Good. Throughout February, researchers and data scientists from various disciplines and industries will have opportunities to share their work, collaborate, and discuss their data science interests. It also offers workshops on R, Python, mapping models, and cloud-based platforms. Registration is required to attend this event.
Students and classes from UW-Madsion can self-publish data they generate and/or use in the ICPSR Student Data Sandbox. Students can learn data management, generate data citations and persistent identifiers for their data, and learn others’ data in this new tool.
This data collection contains information on the characteristics of every single person admitted as an immigrant between fiscal years 1972-2000 (October 1971 through September 2000). Two types of immigrants are presented in this study. New arrivals who arrived from outside the United States with valid immigration visas and aliens who were already in the United States with temporary status and were adjusted to legal permanent residence. Variables include: age, sex, marital status, occupation, country of birth, country of last permanent residence, nationality, port of entry, month and year of admission, class of admission, state and area to which the immigrants were admitted, and others.
ResearchDataGov is a web portal and application system for discovering and requesting restricted microdata from federal statistical agencies. It was developed with support and guidance from the Census Bureau, the Office of Management and Budget, and the Interagency Council on Statistical Policy. Restricted microdata in RDG can be browsed by agencies and by titles. This tool provides guidelines for applying for restricted data. Resarchers can use the ResearchDataGov data access request system to apply for these data. ICPSR will then submit a completed application to the relevant federal agency.
The classic version of the iPoll system was decommissioned in September. Visit https://ropercenter.cornell.edu/ipoll/ to check out the enhanced features of the new Roper iPoll.
Roper’s data team prioritizes the processing of all COVID-19 surveys, often on a 24 to 48-hour turnaround. Researchers can access its Topic Tracker technology to chart COVID-19 survey question frequency in Roper iPoll. While the pandemic continues, all datasets related to COVID-19 in Roper’s collection are publicly available.
Roper is making available all public opinion surveys of Black Americans in the Roper data archive. These surveys of Black Americans span from 1945 to 2020. These data provide historical insight into how racial attitudes have changed in the United States and how the public currently views topics such as police brutality, race relations, and Black Lives Matter. Meanwhile all of the data in the Say Their Names, Hear Their Voices collection are freely available to the public on request.
Polls from Axios and Ipsos Public Affairs are now available at the Roper’s archive.
The Recently Developed Methods Collection (RDMC) is an extension of the searchable archive that includes online non-probability polls, mixed probability and non-probability methods polls, interactive voice response (IVR) polls, Registration-Based Sampling (RBS) sample polls, and other surveys utilizing recently developed survey-based public opinion research methods. Studies use RDMC are listed under a separate tab in the search result page.
The Roper Center will co-host two post-election panel events with the DC local chapter of the American Association for Public Opinion Research (DC-AAPOR). Both panels are free and open to the public but require registration at https://ropercenter.cornell.edu/post-election-panel-events.
- “Measuring Impact of Online Communications and Disinformation in Campaigns” is scheduled on November 11, 2020 at 4:00 PM EST.
- “2020 Election Polling: A Postmortem” will be held on November 13, 2020 at 4:00 PM EST.
The National Neighborhood Data Archive (NaNDA) is a publicly available national data archive containing contextual measures of the physical and social environment at multiple levels of spatial scale. These measures include walkability, crime, racial residential segregation, socioeconomic disadvantage and affluence, recreational centers, libraries, fast food, climate, healthcare, housing, public transit, civic participation, and others. They can readily be linked to existing survey data, cohort studies, or electronic medical records over more three decades (1980-2020) in various geographic levels: state, county, tract, block group, metropolitan statistical area, and zip code. Browse a list of contextual measures at NaNDA.
Social Science Computing Cooperative training courses for Fall 2020 is now available at https://www.ssc.wisc.edu/sscc_jsp/training/.
Below are courses offered in August, September and October.
Introduction to R with RStudio
Introduction to Stata
Data Wrangling in R
Data Wrangling In Stata
Running Big Jobs on SSCC’s Linux Servers
Stata Workshop: Loops and Macros
Stata Workshop: Presentable Bar Graphs
DISC just received this dataset from the Business School Library on campus. This RateWatch Scholar Dataset only includes deposit interest rate data for retail and business products from 2001 to May 2020. It has data on over 7500 financial institutions (including banks, credit unions, savings and loan associations, and others) in the U.S. Variables include types of products (CD, checking account, saving account, money markets and others) and their characteristics like term length, dollar tier, and rate at survey date.
Blalock Lectures are an integral part of the ICPSR Summer Program in Quantitative Methods of Social Research. They are presented in the evening from 7:30 to 9 p.m. EDT. These lectures are all FREE to join and open to the public. Each lecture will be available via this Zoom link: 2020 Blalock Zoom Webinars. Each lecture is recorded and will be available on the Summer Program YouTube channel in this playlist: 2020 Blalock Lecture Series.
July 14: “Privacy Considerations In the Use of Administrative Data” – Dani Hochfellner, New York University
July 15: “The ISR Program for Research on Black Americans and Archived Data at ICPSR” – Robert Taylor, University of Michigan; David Thomas, University of Michigan
July 16: “Surveying Voters on Election Day: Methodological Issues in Exit Polling” – Dan Merkle, ABC News
July 21: “Choices and Challenges in Pre-election Polling” – Scott Keeter, Pew Research Center
July 22: “Research Developments in the Study of Racialized Resentment” – David Wilson, University of Delaware
July 28: “The American National Election Study and Archived Data at ICPSR” – Vincent Hutchings, University of Michigan; David Thomas, University of Michigan
July 29: “Citizen Forecasting: The Formation of Voter Expectations and Their Aggregate Accuracy” – Mary Stegmaier, University of Missouri
July 30: “Preparing to Teach for the First (or Second) Time” – Lynette Hoelter, University of Michigan; Esther Wilder, Lehman College; Andrea Benjamin, University of Oklahoma
August 4: “Statistical Models of Election Outcomes” – Andrew Gelman, Columbia University
August 5: “Health Disparities across the Life Cycle” – DeAnnah Byrd, Wayne State University
August 6: “Detroit Metropolitan Area Community Study and Archived Data at ICPSR” – Jeff Morenoff, University of Michigan
August 11: “The Chitwan Valley Family Study and Archived Data at ICPSR” – Bill Axinn, University of Michigan; Lynette Hoelter, University of Michigan
August 12: “Identity Development among Young Black Men” – Lloyd Talley, University of Michigan