Privacy, Big Data, and the Public Good
Privacy, Big Data, and the Public Good

Author: Julia Lane

Publisher: Cambridge University Press

Published: 2014-06-09

Total Pages: 343

ISBN-13: 1316094456

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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.

Data Publics
Data Publics

Author: Peter Mörtenböck

Publisher: Routledge

Published: 2020-05-31

Total Pages: 227

ISBN-13: 0429589840

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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.

Public Policy Analytics
Public Policy Analytics

Author: Ken Steif

Publisher: CRC Press

Published: 2021-08-18

Total Pages: 254

ISBN-13: 1000401618

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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.

Data-Driven Public Relations Research
Data-Driven Public Relations Research

Author: Jim Eggensperger

Publisher: Routledge

Published: 2018-09-03

Total Pages: 358

ISBN-13: 135176778X

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The public relations industry is undergoing a revolution in using data to define promotional programs, to measure influence and to address the needs of clients with more precision than ever. Applying tools that range from online surveys to social-media listening to applying big data with sophisticated algorithms, today’s PR professionals are data-driven in virtually everything they do. Data-Driven Public Relations Research is the first book for PR students and practitioners to offer an overview of these new practices as well as a glimpse into the future of these new applications, including "big data" and some of the applications from real-world PR campaigns and strategic planning. It includes contemporary cases involving brand name companies who are blazing new trails in the use of metrics in public relations. This book presents a practical, accessible approach that requires no prior training or experience, with easy to follow, step-by-step measurement examples from existing campaigns. Using Excel, the book enables readers to export lessons from the classroom to the office, where use of statistical packages is rare and can give PR practitioners the advantage over competitors. This pragmatic approach helps readers apply metrics to PR problems such as: Finding the best target audiences Understanding audience communication needs and preferences How best to present research outcomes How to manage major projects with specialized research firms. Accompanying electronic resources for the book include sample answers to the book’s discussion questions, PowerPoint lecture slides for instructors and sample research exercises using Excel.

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.

Street Data
Street Data

Author: Shane Safir

Publisher: Corwin

Published: 2021-02-12

Total Pages: 281

ISBN-13: 1071812661

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Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.

The GIS Guide to Public Domain Data
The GIS Guide to Public Domain Data

Author: Joseph J. Kerski

Publisher: ESRI Press

Published: 2012

Total Pages: 0

ISBN-13: 9781589482449

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Readers will understand how to find, evaluate, and analyze data to solve location-based problems. This guide covers practical issues such as copyrights, cloud computing, online data portals, volunteered geographic information, and international data with supplementary exercises.

Research Methods and Statistics for Public and Nonprofit Administrators
Research Methods and Statistics for Public and Nonprofit Administrators

Author: Masami Nishishiba

Publisher: SAGE Publications

Published: 2013-09-17

Total Pages: 393

ISBN-13: 1483301419

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Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using “real actors,” facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text.

Data Source Handbook
Data Source Handbook

Author: Pete Warden

Publisher: "O'Reilly Media, Inc."

Published: 2011-01-28

Total Pages: 40

ISBN-13: 1449303889

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If you're a developer looking to supplement your own data tools and services, this concise ebook covers the most useful sources of public data available today. You'll find useful information on APIs that offer broad coverage, tie their data to the outside world, and are either accessible online or feature downloadable bulk data. You'll also find code and helpful links. This guide organizes APIs by the subjects they cover—such as websites, people, or places—so you can quickly locate the best resources for augmenting the data you handle in your own service. Categories include: Website tools such as WHOIS, bit.ly, and Compete Services that use email addresses as search terms, including Github Finding information from just a name, with APIs such as WhitePages Services, such as Klout, for locating people with Facebook and Twitter accounts Search APIs, including BOSS and Wikipedia Geographical data sources, including SimpleGeo and U.S. Census Company information APIs, such as CrunchBase and ZoomInfo APIs that list IP addresses, such as MaxMind Services that list books, films, music, and products

New Horizons for a Data-Driven Economy
New Horizons for a Data-Driven Economy

Author: José María Cavanillas

Publisher: Springer

Published: 2016-04-04

Total Pages: 312

ISBN-13: 3319215698

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In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.