Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309684870
Category : Social Science
Languages : en
Pages : 209
Book Description
The Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a 2-day public workshop from December 11-12, 2019, to discuss the suite of data products the Census Bureau will generate from the 2020 Census. The workshop featured presentations by users of decennial census data products to help the Census Bureau better understand the uses of the data products and the importance of these uses and help inform the Census Bureau's decisions on the final specification of 2020 data products. This publication summarizes the presentation and discussion of the workshop.
2020 Census Data Products: Data Needs and Privacy Considerations
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309684870
Category : Social Science
Languages : en
Pages : 209
Book Description
The Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a 2-day public workshop from December 11-12, 2019, to discuss the suite of data products the Census Bureau will generate from the 2020 Census. The workshop featured presentations by users of decennial census data products to help the Census Bureau better understand the uses of the data products and the importance of these uses and help inform the Census Bureau's decisions on the final specification of 2020 data products. This publication summarizes the presentation and discussion of the workshop.
Publisher: National Academies Press
ISBN: 0309684870
Category : Social Science
Languages : en
Pages : 209
Book Description
The Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a 2-day public workshop from December 11-12, 2019, to discuss the suite of data products the Census Bureau will generate from the 2020 Census. The workshop featured presentations by users of decennial census data products to help the Census Bureau better understand the uses of the data products and the importance of these uses and help inform the Census Bureau's decisions on the final specification of 2020 data products. This publication summarizes the presentation and discussion of the workshop.
Privacy in Statistical Databases
Author: Josep Domingo-Ferrer
Publisher: Springer Nature
ISBN: 3030575217
Category : Computers
Languages : en
Pages : 371
Book Description
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Publisher: Springer Nature
ISBN: 3030575217
Category : Computers
Languages : en
Pages : 371
Book Description
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Privacy in Statistical Databases
Author: Josep Domingo-Ferrer
Publisher: Springer
ISBN: 9783030575205
Category : Computers
Languages : en
Pages : 370
Book Description
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Publisher: Springer
ISBN: 9783030575205
Category : Computers
Languages : en
Pages : 370
Book Description
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
The Oxford Handbook of American Election Law
Author: Eugene D Mazo
Publisher: Oxford University Press
ISBN: 0197547923
Category : Law
Languages : en
Pages : 1225
Book Description
Election law plays a critical role in regulating the political arena at a time when Americans are witnessing unprecedented levels of polarization. The Oxford Handbook of American Election Law provides a comprehensive overview of the field, a survey of core themes, and summaries of the most pressing debates. Bringing together 47 leading scholars of election law, the Handbook offers readers a clearly written guide to aid navigation through this complex area, tackling controversial issues and situating them within the field's ongoing scholarly dialogue. Unparalleled in the breadth and depth of its coverage, The Oxford Handbook of American Election Law is an invaluable resource for scholars, students, policymakers, and practitioners.
Publisher: Oxford University Press
ISBN: 0197547923
Category : Law
Languages : en
Pages : 1225
Book Description
Election law plays a critical role in regulating the political arena at a time when Americans are witnessing unprecedented levels of polarization. The Oxford Handbook of American Election Law provides a comprehensive overview of the field, a survey of core themes, and summaries of the most pressing debates. Bringing together 47 leading scholars of election law, the Handbook offers readers a clearly written guide to aid navigation through this complex area, tackling controversial issues and situating them within the field's ongoing scholarly dialogue. Unparalleled in the breadth and depth of its coverage, The Oxford Handbook of American Election Law is an invaluable resource for scholars, students, policymakers, and practitioners.
American Community Survey
Author:
Publisher:
ISBN:
Category : American community survey
Languages : en
Pages : 18
Book Description
Publisher:
ISBN:
Category : American community survey
Languages : en
Pages : 18
Book Description
Differential Undercounts in the U.S. Census
Author: William P. O’Hare
Publisher: Springer
ISBN: 3030109739
Category : Social Science
Languages : en
Pages : 174
Book Description
This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.
Publisher: Springer
ISBN: 3030109739
Category : Social Science
Languages : en
Pages : 174
Book Description
This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.
GIS and the 2020 Census
Author: Amor Laaribi
Publisher: Esri Press
ISBN: 9781589485044
Category : Political Science
Languages : en
Pages :
Book Description
Census workers need to capture and analyze information at the finest geographic level with mobile and geospatial-based technology. GIS and the 2020 Census: Modernizing Official Statistics provides statistical organizations with the most recent GIS methodologies and technological tools to support census workers' needs at all the stages of a census. Learn how to plan and carry out census work with GIS using new technologies for field data collection and operations management. After planning and collecting data, apply innovative solutions for performing statistical analysis, data integration and dissemination. Additional topics cover cloud computing, big data, Location as a Service (LaaS), and emerging data sources. While GIS and the 2020 Census focuses on using GIS and other geospatial technology in support of census planning and operations, it also offers guidelines for building a statistical-geospatial information infrastructure in support of the 2020 Round of Censuses, evidence-based decision making, and sustainable development. Case studies illustrate concepts in practice.
Publisher: Esri Press
ISBN: 9781589485044
Category : Political Science
Languages : en
Pages :
Book Description
Census workers need to capture and analyze information at the finest geographic level with mobile and geospatial-based technology. GIS and the 2020 Census: Modernizing Official Statistics provides statistical organizations with the most recent GIS methodologies and technological tools to support census workers' needs at all the stages of a census. Learn how to plan and carry out census work with GIS using new technologies for field data collection and operations management. After planning and collecting data, apply innovative solutions for performing statistical analysis, data integration and dissemination. Additional topics cover cloud computing, big data, Location as a Service (LaaS), and emerging data sources. While GIS and the 2020 Census focuses on using GIS and other geospatial technology in support of census planning and operations, it also offers guidelines for building a statistical-geospatial information infrastructure in support of the 2020 Round of Censuses, evidence-based decision making, and sustainable development. Case studies illustrate concepts in practice.
Federal Statistics, Multiple Data Sources, and Privacy Protection
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309465370
Category : Social Science
Languages : en
Pages : 195
Book Description
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
Publisher: National Academies Press
ISBN: 0309465370
Category : Social Science
Languages : en
Pages : 195
Book Description
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
Principles and Recommendations for Population and Housing Censuses
Author: United Nations. Statistical Division
Publisher: United Nations Publications
ISBN: 9789211615050
Category : Political Science
Languages : en
Pages : 420
Book Description
The population and housing census is part of an integrated national statistical system, which may include other censuses (for example, agriculture), surveys, registers and administrative files. It provides, at regular intervals, the benchmark for population count at national and local levels. For small geographical areas or sub-populations, it may represent the only source of information for certain social, demographic and economic characteristics. For many countries the census also provides a solid framework to develop sampling frames. This publication represents one of the pillars for data collection on the number and characteristics of the population of a country.
Publisher: United Nations Publications
ISBN: 9789211615050
Category : Political Science
Languages : en
Pages : 420
Book Description
The population and housing census is part of an integrated national statistical system, which may include other censuses (for example, agriculture), surveys, registers and administrative files. It provides, at regular intervals, the benchmark for population count at national and local levels. For small geographical areas or sub-populations, it may represent the only source of information for certain social, demographic and economic characteristics. For many countries the census also provides a solid framework to develop sampling frames. This publication represents one of the pillars for data collection on the number and characteristics of the population of a country.
The Great Demographic Illusion
Author: Richard Alba
Publisher: Princeton University Press
ISBN: 0691202117
Category : Social Science
Languages : en
Pages : 336
Book Description
Why the number of young Americans from mixed families is surging and what this means for the country’s future Americans are under the spell of a distorted and polarizing story about their country’s future—the majority-minority narrative—which contends that inevitable demographic changes will create a society with a majority made up of minorities for the first time in the United States’s history. The Great Demographic Illusion reveals that this narrative obscures a more transformative development: the rising numbers of young Americans from ethno-racially mixed families, consisting of one white and one nonwhite parent. Examining the unprecedented significance of mixed parentage in the twenty-first-century United States, Richard Alba looks at how young Americans with this background will play pivotal roles in the country’s demographic future. Assembling a vast body of evidence, Alba explores where individuals of mixed parentage fit in American society. Most participate in and reshape the mainstream, as seen in their high levels of integration into social milieus that were previously white dominated. Yet, racism is evident in the very different experiences of individuals with black-white heritage. Alba’s portrait squares in key ways with the history of immigrant-group assimilation, and indicates that, once again, mainstream American society is expanding and becoming more inclusive. Nevertheless, there are also major limitations to mainstream expansion today, especially in its more modest magnitude and selective nature, which hinder the participation of black Americans and some other people of color. Alba calls for social policies to further open up the mainstream by correcting the restrictions imposed by intensifying economic inequality, shape-shifting racism, and the impaired legal status of many immigrant families. Countering rigid demographic beliefs and predictions, The Great Demographic Illusion offers a new way of understanding American society and its coming transformation.
Publisher: Princeton University Press
ISBN: 0691202117
Category : Social Science
Languages : en
Pages : 336
Book Description
Why the number of young Americans from mixed families is surging and what this means for the country’s future Americans are under the spell of a distorted and polarizing story about their country’s future—the majority-minority narrative—which contends that inevitable demographic changes will create a society with a majority made up of minorities for the first time in the United States’s history. The Great Demographic Illusion reveals that this narrative obscures a more transformative development: the rising numbers of young Americans from ethno-racially mixed families, consisting of one white and one nonwhite parent. Examining the unprecedented significance of mixed parentage in the twenty-first-century United States, Richard Alba looks at how young Americans with this background will play pivotal roles in the country’s demographic future. Assembling a vast body of evidence, Alba explores where individuals of mixed parentage fit in American society. Most participate in and reshape the mainstream, as seen in their high levels of integration into social milieus that were previously white dominated. Yet, racism is evident in the very different experiences of individuals with black-white heritage. Alba’s portrait squares in key ways with the history of immigrant-group assimilation, and indicates that, once again, mainstream American society is expanding and becoming more inclusive. Nevertheless, there are also major limitations to mainstream expansion today, especially in its more modest magnitude and selective nature, which hinder the participation of black Americans and some other people of color. Alba calls for social policies to further open up the mainstream by correcting the restrictions imposed by intensifying economic inequality, shape-shifting racism, and the impaired legal status of many immigrant families. Countering rigid demographic beliefs and predictions, The Great Demographic Illusion offers a new way of understanding American society and its coming transformation.