Did you know that there are at least three sources of unemployment statistics in the United States? In this APDU webinar you’ll learn about the three primary data sources—Current Population Survey (CPS), Local Area Unemployment Statistics (LAUS), and American Community Survey (ACS)—and how they differ. Then we’ll explore how to access the official national and state unemployment statistics, based on CPS.
Presenter: Garrett Schmitt, Senior Economist, Bureau of Labor Statistics
The coronavirus pandemic is unprecedented in recent history. To meet this challenge, the U.S. Census Bureau, in collaboration with other federal statistical agencies, has developed two new experimental surveys: a Household Pulse Survey and a Small Business Pulse Survey. This webinar will provide an overview of the household survey, including the following:
What type of information is collected in the household survey?
What is the data collection method?
What levels of geography are being reported?
Where can someone find the data?
Jason Fields, Senior Researcher for Demographic Programs, U.S. Census Bureau
Have you ever looked for data from ACS or CPS, but published tables did not have exactly what you needed? Have you ever wished you could create quick crosstabs without writing code? The Census Bureau is developing a new microdata access feature on data.census.gov that allows users to create custom crosstabulations from ACS and CPS. Register for this webinar today to learn more about this feature and to submit feedback to the Census Bureau about how microdata access could be improved.
Tyson Weister, Survey Statistician, U.S. Census Bureau
The Census Bureau is introducing a new framework to protect individual data in the Decennial Census: “Differential Privacy”. This has implications for the reliability and availability of invaluable federal statistics – decreasing accuracy for small areas and small sub-population counts and reducing the scope of various data products in exchange for improved privacy protections.
This webinar from the Association of Public Data Users will provide a background on Disclosure Avoidance, details on the policy decisions leading to Differential Privacy and its subsequent implementation, and comparisons of recently released data comparing previously available 2010 Census data with data demonstrating the impact of Differential Privacy. Register today to learn more.
Beth Jarosz, Senior Research Associate, Population Reference Bureau
Kathryn Pettit, Principal Research Associate, Urban Institute
David Van Riper, Director of Spatial Analysis, IPUMS
Five years ago, staff at the Bureau of Labor Statistics had to read and manually code hundreds of thousands of written descriptions of work-related injuries and illnesses each year. Today, more than two thirds of these codes are now assigned by a deep neural network, which evaluations suggest is substantially more accurate on average than trained human workers.
In this webinar, Alex Measure will discuss how BLS addressed some of the many challenges inherent in this transition. Attendees will learn:
how BLS built these new computer systems
how they decided when and how to use them
how to evaluate their performance
how BLS monitors and maintain them to continually improve performance.
Alex Measure, Economist, Bureau of Labor Statistics
When the U.S. Commission on Evidence-Based Policymaking issued its unanimous recommendations to Congress in 2017, it called for the exploration of new approaches that promote data access and privacy preservation at the same time. This webinar discusses an application of one such technology – multi-party computation – in a real-world setting to assess the applicability of the approach in public agencies.
A demonstration project in Allegheny County, Pennsylvania applied privacy-preserving approaches to generate responses to policy-relevant questions about mental health services, homelessness services, and other public health policies. This demonstration project offers a compelling example of how the technologies can be deployed—which can advance consideration of the approach within agencies at all levels of government. Register today to learn how this new technology could impact the data you rely on.
Presenter: Nick Hart, Ph.D., CEO, Data Coalition Fellow, Bipartisan Policy Center
In this demonstration, Treasury’s Bureau of the Fiscal Service will provide a general overview of the Data Lab and its guiding principles and values. The Data Transparency team will discuss the Data Lab’s relationship to USAspending.gov and our commitment to open data, human-centered design, and agile development. We will examine some Data Lab analyses, such as the recently launched Your Guide to America’s Finances, and review our methodology. Importantly, we will also explain how attendees, and the public at large, can leverage USAspending.gov’s open data to gain insights into public issues they care about. We welcome questions and feedback throughout the discussion.
The Data Lab is a platform designed to help generate public understanding of government spending through interactive data visualizations. It creates tools and visualizations that seek to answer interesting but complicated questions, and shows the power of the data available on USAspending.gov.
Presenter: Justin Marsico, Product Manager, Research & Analytics for Data Transparency, Bureau of the Fiscal Service, U.S. Department of the Treasury
State your case in more memorable ways with powerful, but easy-to-understand data presentations. Provide your users with the freedom to adapt your data in new ways by allowing them to aggregate them in interactive dashboards that answer their immediate questions.
Tableau can help you accomplish your objective, and we can show you how. In this course, you will not just build on your skills in making appropriate graphics: you will also incorporate complex calculations in ways that improve insights, make charts more relevant, and create the most impactful dashboard graphics.
Skills: Participants must have a basic understanding of how Tableau works before attending this class, including knowledge of Tableau terminology, uploading data, editing data sources, and creating basic charts.
Tools: Laptop, wired mouse, Tableau Desktop (personal, professional, or public version), and Tableau Prep.
USDA Research Relocation and Reorganization: Perspectives from Former USDA Chief Scientists and Administrators
Agriculture Secretary Sonny Perdue in August caught Congress and USDA stakeholders by surprise with a proposal to relocate the USDA Economic Research Service (ERS) and the USDA National Institute of Food and Agriculture (NIFA) outside of the Washington, DC area and to move ERS from the USDA research arm to a policy arm.
The proposal has raised many questions: Will there be a chance for the USDA partner community to comment? Was the partner and stakeholder community previously consulted? Why the speed of action? What is Congress’s role? What is the problem being addressed? Many concerns have also been raised: Will NIFA and ERS relevance and reach be impacted by being moved away from key audiences and policymakers? Will ERS’s standing as a world premier economics research institution be retained with the expected staff attrition for those not willing to move their families? What will be the impact of ERS’s perception as an independent, trusted source of information and analysis be impacted by its move to a USDA policy office?
The panelists will address the many questions and concerns raised about the USDA proposal; address viewer questions; and suggest actions for Congress, USDA, and viewers.