Suchergebnisse

"In 2014, the National Agricultural Statistics Service (NASS) engaged the National Academies of Sciences, Engineering, and Medicine to convene a planning committee to organize a public workshop for an expert open discussion of their then-current livestock models. The models had worked well for some time. Unfortunately beginning in 2013, an epidemic that killed baby pigs broke out in the United States. The epidemic was not fully realized until 2014 and spread to many states. The result was a decline in hog inventories and pork production that was not predicted by the models. NASS delayed the workshop until 2019 while it worked to develop models that could help in times both of equilibrium and shock (disease or disaster), as well as alternative approaches to help detect the onset of a shock. The May 15, 2019, workshop was consistent with NASS' 2014 intention, but with a focus on a model that can help predict hog inventories over time, including during times of shock. This publication summarizes the presentations and discussions from the workshop." - Publishers website

A vision of NASS in 2025 -- Multiple data sources for crops : challenges and opportunities -- Sources of data for cash rents -- Implementing the vision and beyond

"The Children's Health Act mandated the National Children's Study (NCS) in 2000 with one of its purposes being to authorize the National Institute of Child Health and Human Development (NICHD) to study the environmental influences (including physical, chemical, biological, and psychosocial) on children's health and development. The NCS examines all aspects of the environment including air, water, diet, noise, family dynamics, and genetics, on the growth, development, and health of children across the United States, for a period of 21 years. The purpose of NCS is to improve the health and well-being of children and to contribute to understanding the role of these factors on health and disease. The research plan for the NCS was developed from 2005 to 2007 in collaboration among the Interagency Coordinating Committee, the NCS Advisory Committee, the NCS Program Office, Westat, the Vanguard Center principal investigators, and federal scientists. The current design of the study, however, uses a separate pilot to assess quality of scientific output, logistics, and operations and a "Main Study" to examine exposure-outcome relationships. The NCS proposed the use of a multilayered cohort approach for the Main Study, which was one of the topics for discussion at the workshop that is the subject of this publication. In the fall of 2012, NICHD requested that the Committee on National Statistics (CNSTAT) of the NRC and the IOM convene a joint workshop, to be led by CNSTAT. The workshop was to focus on issues related to the overall design (including the framework for implementation) of the NCS. The committee was provided a background paper which it used to select the challenges that were discussed at the workshop. Design of the National Children's Study: A Workshop Summary presents an overview of the workshop held on January 11, 2013. The publication includes summaries of the four sessions of the workshop, a list of participants, and the agenda"--Publisher's description.

Intro -- FrontMatter -- Acknowledgments -- Contents -- 1 Introduction -- 2 Motivation and Challenges -- 3 The Quarterly Hog Inventory Survey -- 4 Setting Official Estimates: The Hog Board -- 5 Modeling Efforts -- 6 Web-Scraping Effects -- 7 Modeling Swine Population Dynamics -- 8 Discussion of Detection and Monitoring -- 9 Discussion of Modeling -- 10 Discussion of State-Level Estimation -- 11 Discussion of Visions for the Future -- References -- Appendix A: Agenda and List of Participants -- Appendix B: Biographical Sketches of Planning Committee Members and Speakers -- Committee on National Statistics.

The United States Department of Agriculture's (USDA's) Economic Research Service's (ERS) Food Availability Data System includes three distinct but related data series on food and nutrient availability for consumption. The data serve as popular proxies for actual consumption at the national level for over 200 commodities (e.g., fresh spinach, beef, and eggs). The core Food Availability (FA) data series provides data on the amount of food available, per capita, for human consumption in the United States with data back to 1909 for many commodities. The Loss-Adjusted Food Availability (LAFA) data series is derived from the FA data series by adjusting for food spoilage, plate waste, and other losses to more closely approximate 4 actual intake. The LAFA data provide daily estimates of the per capita availability amounts adjusted for loss (e.g., in pounds, ounces, grams, and gallons as appropriate), calories, and food pattern equivalents (i.e., "servings") of the five major food groups (fruit, vegetables, grains, meat, and dairy) available for consumption plus the amounts of added sugars and sweeteners and added fats and oils available for consumption. This fiscal year, as part of its initiative to systematically review all of its major data series, ERS decided to review the FADS data system. One of the goals of this review is to advance the knowledge and understanding of the measurement and technical aspects of the data supporting FADS so the data can be maintained and improved. Data and Research to Improve the U.S. Food Availability System and Estimates of Food Loss is the summary of a workshop convened by the Committee on National Statistics of the National Research Council and the Food and Nutrition Board of the Institute of Medicine to advance knowledge and understanding of the measurement and technical aspects of the data supporting the LAFA data series so that these data series and subsequent food availability and food loss estimates can be maintained and improved. The workshop considered such issues as the effects of termination of selected Census Bureau and USDA data series on estimates for affected food groups and commodities; the potential for using other data sources, such as scanner data, to improve estimates of food availability; and possible ways to improve the data on food loss at the farm and retail levels and at restaurants. This report considers knowledge gaps, data sources that may be available or could be generated to fill gaps, what can be ...

Intro -- FrontMatter -- Acknowledgments -- Contents -- List of Figures and Tables -- Acronyms and Abbreviations -- 1 Introduction -- 2 Disclosure Avoidance in the 2020 Census -- 3 Geospatial Analyses of Social and Demographic Conditions -- 4 Redistricting and Related Legal Uses -- 5 Delivery of Government Services -- 6 Business and Private Sector Applications -- 7 Use as Denominators for Rates and Baseline for Estimates -- 8 Identification of Rural and Special Populations: American Indians and Alaska Natives -- 9 Identification of Rural and Special Populations: Small Communities, the Young, and the Elderly -- 10 Panel Discussion on Key Privacy Issues -- 11 Census Bureau's Responses and Own Analyses of 2010 Demonstration Data Products -- 12 Summary of Breakout Discussion Sessions -- References -- Appendixes -- Appendix A: Workshop Agenda and Participants -- Appendix B: Biographical Sketches of Planning Committee Members and External Presenters -- Committee on National Statistics.