Data Publics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data Publics PDF full book. Access full book title Data Publics.
Author | : Ken Steif |
Publisher | : CRC Press |
Total Pages | : 229 |
Release | : 2021-08-18 |
Genre | : Business & Economics |
ISBN | : 100040157X |
Download Public Policy Analytics Book in PDF, ePub and Kindle
Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.
Author | : Peter Mörtenböck |
Publisher | : Routledge |
Total Pages | : 219 |
Release | : 2020-05-31 |
Genre | : Business & Economics |
ISBN | : 0429589840 |
Download Data Publics Book in PDF, ePub and Kindle
Data has emerged as a key component that determines how interactions across the world are structured, mediated and represented. This book examines these new data publics and the areas in which they become operative, via analysis of politics, geographies, environments and social media platforms. By claiming to offer a mechanism to translate every conceivable occurrence into an abstract code that can be endlessly manipulated, digitally processed data has caused conventional reference systems which hinge on our ability to mark points of origin, to rapidly implode. Authors from a range of disciplines provide insights into such a political economy of data capitalism; the political possibilities of techno-logics beyond data appropriation and data refusal; questions of visual, spatial and geographical organization; emergent ways of life and the environments that sustain them; and the current challenges of data publics, which is explored via case studies of three of the most influential platforms in the social media economy today: Facebook, Instagram and Whatsapp. Data Publics will be of great interest to academics and students in the fields of computer science, philosophy, sociology, media and communication studies, architecture, visual culture, art and design, and urban and cultural studies.
Author | : Julia Lane |
Publisher | : Cambridge University Press |
Total Pages | : 343 |
Release | : 2014-06-09 |
Genre | : Mathematics |
ISBN | : 1316094456 |
Download Privacy, Big Data, and the Public Good Book in PDF, ePub and Kindle
Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.
Author | : Tara Dawson McGuinness |
Publisher | : Princeton University Press |
Total Pages | : 208 |
Release | : 2021-04-13 |
Genre | : Law |
ISBN | : 0691207755 |
Download Power to the Public Book in PDF, ePub and Kindle
“Worth a read for anyone who cares about making change happen.”—Barack Obama A powerful new blueprint for how governments and nonprofits can harness the power of digital technology to help solve the most serious problems of the twenty-first century As the speed and complexity of the world increases, governments and nonprofit organizations need new ways to effectively tackle the critical challenges of our time—from pandemics and global warming to social media warfare. In Power to the Public, Tara Dawson McGuinness and Hana Schank describe a revolutionary new approach—public interest technology—that has the potential to transform the way governments and nonprofits around the world solve problems. Through inspiring stories about successful projects ranging from a texting service for teenagers in crisis to a streamlined foster care system, the authors show how public interest technology can make the delivery of services to the public more effective and efficient. At its heart, public interest technology means putting users at the center of the policymaking process, using data and metrics in a smart way, and running small experiments and pilot programs before scaling up. And while this approach may well involve the innovative use of digital technology, technology alone is no panacea—and some of the best solutions may even be decidedly low-tech. Clear-eyed yet profoundly optimistic, Power to the Public presents a powerful blueprint for how government and nonprofits can help solve society’s most serious problems.
Author | : Jeffrey C. Chen |
Publisher | : Springer Nature |
Total Pages | : 365 |
Release | : 2021-09-01 |
Genre | : Mathematics |
ISBN | : 3030713520 |
Download Data Science for Public Policy Book in PDF, ePub and Kindle
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst’s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.
Author | : Alex Howard |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 24 |
Release | : 2012-02-21 |
Genre | : Computers |
ISBN | : 1449329721 |
Download Data for the Public Good Book in PDF, ePub and Kindle
As we move into an era of unprecedented volumes of data and computing power, the benefits aren't for business alone. Data can help citizens access government, hold it accountable and build new services to help themselves. Simply making data available is not sufficient. The use of data for the public good is being driven by a distributed community of media, nonprofits, academics and civic advocates. This report from O'Reilly Radar highlights the principles of data in the public good, and surveys areas where data is already being used to great effect, covering: Consumer finance Transit data Government transparency Data journalism Aid and development Crisis and emergency response Healthcare
Author | : Joshua D. Hawley |
Publisher | : |
Total Pages | : |
Release | : 2020 |
Genre | : Big data |
ISBN | : 9780880996754 |
Download Data Science in the Public Interest Book in PDF, ePub and Kindle
"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"--
Author | : Silvio Carta |
Publisher | : Routledge |
Total Pages | : 210 |
Release | : 2019-06-19 |
Genre | : Computers |
ISBN | : 1351007386 |
Download Big Data, Code and the Discrete City Book in PDF, ePub and Kindle
Big Data, Code and the Discrete City explores how digital technologies are gradually changing the way in which the public space is designed by architects, managed by policymakers and experienced by individuals. Smart city technologies are superseding the traditional human experience that has characterised the making of the public space until today. This book examines how computers see the public space and the effect of algorithms, artificial intelligences and automated processes on the human experience in public spaces. Divided into three parts, the first part of this book examines the notion of discreteness in its origins and applications to computer sciences. The second section presents a dual perspective: it explores the ways in which public spaces are constructed by the computer-driven logic and then translated into control mechanisms, design strategies and software-aided design. This perspective also describes the way in which individuals perceive this new public space, through its digital logic, and discrete mechanisms (from Wi-Fi coverage to self-tracking). Finally, in the third part, this book scrutinises the discrete logic with which computers operate, and how this is permeating into aspects of city life. This book is valuable for anyone interested in urban studies and digital technologies, and more specifically in big data, urban informatics and public space.
Author | : Ding-Geng (Din) Chen |
Publisher | : Springer |
Total Pages | : 354 |
Release | : 2015-08-31 |
Genre | : Medical |
ISBN | : 3319185365 |
Download Innovative Statistical Methods for Public Health Data Book in PDF, ePub and Kindle
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.
Author | : Paul J. Heald |
Publisher | : Stanford University Press |
Total Pages | : 228 |
Release | : 2020-11-24 |
Genre | : Law |
ISBN | : 150361431X |
Download Copy This Book! Book in PDF, ePub and Kindle
In Copy This Book!, Paul J. Heald draws on a vast knowledge of copyright scholarship and a deep sense of irony to explain what's gone wrong with copyright in the twenty-first century. Distilling extensive empirical data to clearly show the implications of copyright laws and doctrine for public welfare, he illustrates his findings with lighthearted references to familiar (and obscure) works and their creators (and sometimes their creators' oddball relations). Among the questions he tackles: How does copyright deter composers from writing new songs? Why are so many famous photographs unprotected orphans, and how does Getty Images get away with licensing them? What can the use of music in movies tell us about the proper length of the copyright term? How do publishers get away with claiming rights in public domain works and extracting unmerited royalties from the public? Heald translates piles of data, complex laws, and mysterious economics, equipping readers with the tools for judging past and future copyright law.