Statistics in the Public Interest
Statistics in the Public Interest

Author: Alicia L. Carriquiry

Publisher: Springer Nature

Published: 2022-04-22

Total Pages: 574

ISBN-13: 303075460X

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This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submissions from a wide range of contemporary authors to explore the fields in which Fienberg made significant contributions, including contingency tables and log-linear models, privacy and confidentiality, forensics and the law, the decennial census and other surveys, the National Academies, Bayesian theory and methods, causal inference and causes of effects, mixed membership models, and computing and machine learning. Each section begins with an overview of Fienberg’s contributions and continues with chapters by Fienberg’s students, colleagues, and collaborators exploring recent advances and the current state of research on the topic. In addition, this volume includes a biographical introduction as well as a memorial concluding chapter comprised of entries from Stephen and Joyce Fienberg’s close friends, former students, colleagues, and other loved ones, as well as a photographic tribute.

Innovations in Federal Statistics
Innovations in Federal Statistics

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2017-04-21

Total Pages: 151

ISBN-13: 030945428X

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Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.

Vital Statistics on Interest Groups and Lobbying
Vital Statistics on Interest Groups and Lobbying

Author: Holly Brasher

Publisher: SAGE

Published: 2014-08-13

Total Pages: 473

ISBN-13: 1452219974

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This latest volume in the CQ Press series on vital statistics in American politics tackles interest groups and lobbying. This book builds from data that has been collected and organized from disclosure forms now required to be filed by registered lobbyists. After providing background about the Lobbying Disclosure Act, the book explores such questions as: When do organizations register to lobby? What are the characteristics of lobbying organizations (varying from professional and trade associations to businesses, coalitions, public interest groups, and intergovernmental groups)? How extensively do organizations lobby on issues? What sorts of efforts do they exert across Congress, the White House, and the various federal agencies? What is involved in terminations of lobbying firms and organizations? What sorts of issues and organizations are most often targeted? And what sorts of moneys are spent and how? Via narrative supported by extensive tables and charts, Vital Statistics on Interest Groups provides a broad, comprehensive, and informative view of lobbying, interest groups, and campaign contributions and their impact on American national politics.

Data Science in the Public Interest: Improving Government Performance in the Workforce
Data Science in the Public Interest: Improving Government Performance in the Workforce

Author: Joshua D. Hawley

Publisher: W.E. Upjohn Institute

Published: 2020-07-22

Total Pages: 152

ISBN-13: 0880996749

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This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development. Hawley describes how government is currently using data to inform decisions about the workforce at the state and local levels. He then moves beyond standardized performance metrics designed to serve federal agency requirements and discusses how government can improve data gathering and analysis to provide better, up-to-date information for government decision making.

The Governance of Genetic Information
The Governance of Genetic Information

Author: Heather Widdows

Publisher: Cambridge University Press

Published: 2013-12-05

Total Pages: 0

ISBN-13: 9781107625426

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This volume maps the areas of ethical concern in the debate regarding the governance of genetic information, and suggests alternative ethical frameworks and models of regulation in order to inform its restructuring. Genetic governance is at the heart of medical and scientific developments, and is connected to global exploitation, issues of commodification, commercialisation and ownership, the concepts of property and intellectual property and concerns about individual and communal identity. Thus the decisions that are made in the next few years about appropriate models of genetic governance will have knock-on effects for other areas of governance. In short the final answer to 'Who Decides?' in the context of genetic governance will fundamentally shape the ethical constructs of individuals and their networks and relationships in the public sphere.

Social Statistics in Use
Social Statistics in Use

Author: Philip Morris Hauser

Publisher: Russell Sage Foundation

Published: 1975-12-01

Total Pages: 398

ISBN-13: 1610446437

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Shows why social statistics are important and how they are put to use in the interest of the public. Written by a sociologist who serves as Director of the Population Research Center at the University of Chicago, the book illustrates the many applications social statistics have for governmental agencies at the federal, state, and local levels; for the business community; for labor unions; for educators and researchers; and for the general public. The author provides a description of the major bodies of social statistical information, including population; births, deaths, and health; marriage, divorce, and the family; education; the labor force; crime; consumption and the consumer; recreation; governments; and public opinion polls.

Statistical Reasoning in Law and Public Policy: Statistical concepts and issues of fairness
Statistical Reasoning in Law and Public Policy: Statistical concepts and issues of fairness

Author: Joseph L. Gastwirth

Publisher:

Published: 1988

Total Pages: 520

ISBN-13:

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To reach reasoned decisions involving issues of public policy and law, statistical data and studies often need to be assessed for their accuracy and relevance. This two-volume set presents a unique and comprehensive treatment of statistical methods in legal practice. Designed to serve as a text or reference, the book presents basic concepts of probability and statistical inference applied to actual data arising from court cases concerning discrimination, trademark evidence, environmental and occupational exposure to toxic chemicals, and related health and safety topics. Substantial attention is devoted to assessing the strengths and weaknesses of statistical studies, with examples illustrating why some health studies may not have been properly designed at the outset and how actual decisions might have been reversed had more appropriate analysis of data been available to the court. This book will be of interest to lawyers and other practitioners of the law, as well as to students and researchers in the areas of statistics, statistical economics, political science, and law.

Statistics for Lawyers
Statistics for Lawyers

Author: Michael O. Finkelstein

Publisher: Springer

Published: 2015-12-16

Total Pages: 679

ISBN-13: 1441959858

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This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The third edition includes over twenty new sections, including the addition of timely topics, like New York City police stops, exonerations in death-sentence cases, projecting airline costs, and new material on various statistical techniques such as the randomized response survey technique, rare-events meta-analysis, competing risks, and negative binomial regression. The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role. The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book. As with previous editions, the cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, sampling for insurance audits, and the death penalty. A chapter on epidemiology was added in the second edition. In 1991, the first edition was selected by the University of Michigan Law Review as one of the important law books of the year.

Democratizing Our Data
Democratizing Our Data

Author: Julia Lane

Publisher: MIT Press

Published: 2021-10-19

Total Pages: 187

ISBN-13: 0262542749

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A wake-up call for America to create a new framework for democratizing data. Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.