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.
This June the White House released a proposal that would shift the Bureau of Labor Statistics from the Department of Labor to the Department of Commerce, joining with the Bureau of Economic Analysis and the U.S. Census Bureau under a single economics and statistics agency. Join us for a facilitated conversation with Dr. Ken Poole as he talks with Dr. Nancy Potok, Chief Statistician of the United States at the Office of Management and Budget and Dr. Erica Groshen, former Commissioner of the Bureau of Labor Statistics. Attendees will learn more about the reorganization from Dr. Potok and Dr. Groshen, better understand the rationale for the proposal, and gain insights about key considerations that still need to be addressed. This is your chance to provide feedback about your concerns. You are strongly encouraged to bring questions, concerns, and ideas to the conversation.
Dr. Nancy A. Potok, Chief Statistician of the United States, U.S. Office of Management and Budget
Dr. Erica Groshen, Former Commissioner, Bureau of Labor Statistics
Dr. Kenneth E. Poole, CEO, Center for Regional Economic Competitiveness
The ABS is a new survey planned for survey years 2017-2021. The ABS will replace the Survey of Business Owners for employer businesses, the Annual Survey of Entrepreneurs, the Business R&D and Innovation Survey for Microbusinesses, as well as the Innovation component of the Business R&D and Innovation Survey.
The ABS is a joint project between the U.S. Census Bureau and the National Science Foundation’s National Center for Science and Engineering Statistics. The purpose of the ABS is to reduce respondent burden, increase data quality, reduce operational costs and increase efficiency. The survey will produce annual minority-owned business estimates as well as annual R&D estimates on small employer businesses. Further, the survey will measure new business topics such as innovation and technology as well as other business and business owners characteristics. This webinar will give a background on the ABS, the survey components it has absorbed, and briefly discuss methodology and planned data product tabulation levels.
Naomi Blackman, Supervisory Survey Statistician, US Census Bureau
The Quarterly Census of Employment and Wages (QCEW) program from the Bureau of Labor Statistics publishes extremely detailed data at the county and industry level. The scale of the data presented by QCEW creates accessibility challenges for data users. Users who can surmount those challenges have access to a rich store of local data.
This webinar will serve as an introduction to the QCEW resource. It also provides tips on how to bring QCEW data to bear on research projects. Finally, it provides an update on QCEW calendar changes and new products.
David Hiles, Supervisory Economist, Bureau of Labor Statistics
The Data Documentation Initiative (DDI) is an international standard for describing survey and other social science data. Documenting research data with DDI facilitates interpretation and understanding — both by humans and computers. Learn how DDI improves the ability of researchers and organizations to Document, Discover, and Interoperate in this APDU Webinar on March 7.
Presenters: Barry Radler, Distinguished Researcher, University of Wisconsin
Institute on Aging Jon Johnson, Data Management and Metadata specialist working, UK Data
Jared Lyle, Archivist, Inter-university Consortium for Political and Social Research (ICPSR)
With the 2020 Census fact approaching, both the Census Bureau and outside stakeholders are working to ensure that the Census is fair and accurate. In turn, both groups are developing mapping tools to identify areas that are difficult to count.
The low response score (LRS) is a metric developed by the US Census Bureau to classify geographic areas according to their propensity to self-respond to surveys and Censuses. Nancy Bates of the Census Bureau will showcase a new publicly-available tool that greatly simplifies the use of the LRS using a web-based mapping platform. The platform known as the Response Outreach Area Mapper, or ROAM, allows users to select a geography of interest to display tract-based maps colored-coded according to LRS. In addition to quickly identifying hard-to-survey areas, the ROAM also informs users why a particular area may be hard-to-count.
The Center for Urban Research at the CUNY Graduate Center, working with the Leadership Conference on Civil and Human Rights and other census supporters, developed the “Census 2020 Hard to Count Map” at www.CensusHardtoCountMaps2020.us to provide community groups, the media, Census Full Count Committees, and others with an online tool to highlight the hardest to count tracts in the country. This presentation by Steven Romalewski will introduce this intuitive, easy-to-use tool and potential upcoming additions.
Presenters: Nancy Bates, Senior Researcher for Survey Methodology, Research and Methodology Directorate, U.S. Census Bureau
Steven Romalewski, Director, Mapping Service at the Graduate Center / CUNY
The Census Bureau makes extensive use of administrative data to produce statistics about the U.S. population and economy. The use of external data depends on our ability to link and integrate across sources including census and survey data. By integrating external data, we can reduce respondent burden and increase the scope and depth of statistics and analyses. Researchers in the Census Bureau’s Center for Administrative Records Research and Applications (CARRA) conduct innovative research to investigate how administrative records may improve decennial census and survey operations and to answer important social scientific questions. This webinar will provide an overview the Census Bureau’s data linkage infrastructure, examples of CARRA research using linked data, and how external researchers may request access to Census Bureau data.
Mark Leach, PhD., Chief, Demographic and Decennial Research Group, Center for Administrative Records Research and Applications, U.S. Census Bureau
18M open datasets exist today, and growth is accelerating. But these data sets live in data portals without common taxonomies or architectures, and must first be cleaned and prepared by data users. Human and computers normalize, extract meaning, and identify correlations, but this work is siloed: used for one project, then lost forever, only to be repeated from scratch by the next person to touch the data.
Open data can help us rise to humanity’s toughest challenges, but only if we maximize its network effect. To build the web of Linked Data, we have to start by connecting the people who are working with data.
Patrick McGarry of data.world will answer the following questions (and more) in this webinar:
How can we enhance open data that has already been published?
How are leading open data publishers combining the power of linked data and open data?
What is the role of public-private partnership today, and how should it evolve?
Presenter: Patrick McGarry, Head of Community, data.world
Many organizations collect data to help manage and monitor the performance of their programs. This administrative data can also be used to improve program evaluation and management and produce original research. As a first step, organizations should ensure the data is of a high enough quality to support research and evaluation. The webinar will serve as a primer on how organizations can improve the quality of administrative data for research. The webinar will cover:
The importance of administrative data quality,
The major issues of data quality,
Strategies for reviewing the quality of the data, and
Strategies for cleaning the data.
The webinar will cover major issues of data quality, including: units of analysis, missing values, invalid values, incorrect formatting, and value inconsistencies both within and across variables. In addition, the webinar will provide specific and concrete strategies for reviewing and cleaning the data in preparation for research. The webinar will be particularly useful for organizations that are relatively new to using administrative data for research and evaluation.
China Layne, Ph.D., Manager, Data Analytics and Research at Summit Consulting
Carley Riley and Brita Roy of 100M Lives will present the evolving measurement framework for 100 Million Healthier Lives, which attempts to give communities tools for measuring mental, physical, social and spiritual wellbeing and its drivers at the community level. They will then discuss key data and measurement opportunities and challenges and engage the audience in a discussion about how best to resolve these challenges to create a wellbeing measurement system for the country, as the National Center for Health & Vital Statistics has recently recommended.
Carley Riley, Assistant Professor, Cincinnati Children’s Hospital Medical Center
Brita Roy, Assistant Professor, Yale University School of Medicine