Street Data

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Street Data

Author : Shane Safir,Jamila Dugan
Publisher : Corwin
Page : 281 pages
File Size : 41,9 Mb
Release : 2021-02-12
Category : Education
ISBN : 9781071812662

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Street Data by Shane Safir,Jamila Dugan Pdf

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 Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures

Author : Dona M. Wong
Publisher : W. W. Norton & Company
Page : 153 pages
File Size : 41,5 Mb
Release : 2013-12-16
Category : Business & Economics
ISBN : 9780393609745

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The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures by Dona M. Wong Pdf

The definitive guide to the graphic presentation of information. In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn: to choose the best chart that fits your data; the most effective way to communicate with decision makers when you have five minutes of their time; how to chart currency fluctuations that affect global business; how to use color effectively; how to make a graphic “colorful” even if only black and white are available. The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.

The Listening Leader

Author : Shane Safir
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 46,7 Mb
Release : 2017-03-17
Category : Education
ISBN : 9781119186359

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The Listening Leader by Shane Safir Pdf

LISTENING . . . THE KEY TO BECOMING A TRANSFORMATIVE SCHOOL LEADER The Listening Leader is a practical guide that will inspire school, district, and teacher leaders to make substantive change and increase equitable student outcomes. Rooted in the values of equity, relationships, and listening, this luminous book helps reimagine what is possible in education today. Drawing from more than twenty years of experience in public schools, Shane Safir incorporates hands-on strategies and powerful stories to show us how to leverage one of the most vital tools of leadership: listening. As a Listening Leader you'll feel more confident in these core competencies: Cultivating relationships with stakeholders Addressing equity challenges in your organization Gathering student, staff, and parent perspectives as rich data on improvement Fostering a thriving culture of collaboration and innovation The Listening Leader offers a much-needed leadership model to transform every facet of school life, and most importantly, to shape our schools into equitable places of learning. As Michael Fullan writes in the Foreword, "Read it, act on it, and reap the benefits for all." "This book is a 'must have' for any leader trying to move the needle on equity. Drawing from her lived experience as a principal and leadership coach, Safir offers stories that give insight and practical strategies that get results. It's one you'll keep coming back to." —Zaretta Hammond, author of Culturally Responsive Teaching and the Brain " The Listening Leader immediately changed the way I interact with students, teachers, families and community members." —Tamara Friedman, assistant principal, Berkeley High School "Shane Safir has written a brilliant book. As engaging as it is informative and as revelatory as it is relevant. It is a must-read for school leaders and those who aspire to lead." —Chris Emdin, associate professor of science education, Teachers College, Columbia University; author of For White Folks Who Teach In the Hood and the Rest of Ya'll too

Democratizing Our Data

Author : Julia Lane
Publisher : MIT Press
Page : 187 pages
File Size : 50,7 Mb
Release : 2021-10-19
Category : Political Science
ISBN : 9780262542746

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Democratizing Our Data by Julia Lane Pdf

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.

Data Feminism

Author : Catherine D'Ignazio,Lauren F. Klein
Publisher : MIT Press
Page : 328 pages
File Size : 53,9 Mb
Release : 2023-10-03
Category : Social Science
ISBN : 9780262547185

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Data Feminism by Catherine D'Ignazio,Lauren F. Klein Pdf

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

Effective Data Storytelling

Author : Brent Dykes
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 40,8 Mb
Release : 2019-12-10
Category : Computers
ISBN : 9781119615729

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Effective Data Storytelling by Brent Dykes Pdf

Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.

The Data Detective

Author : Tim Harford
Publisher : Penguin
Page : 336 pages
File Size : 43,8 Mb
Release : 2021-02-02
Category : Business & Economics
ISBN : 9780593084670

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The Data Detective by Tim Harford Pdf

From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.

R for Data Science

Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 47,8 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368

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R for Data Science by Hadley Wickham,Garrett Grolemund Pdf

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Indigenous Data Sovereignty

Author : Tahu Kukutai,John Taylor
Publisher : ANU Press
Page : 344 pages
File Size : 50,9 Mb
Release : 2016-11-14
Category : Social Science
ISBN : 9781760460310

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Indigenous Data Sovereignty by Tahu Kukutai,John Taylor Pdf

As the global ‘data revolution’ accelerates, how can the data rights and interests of indigenous peoples be secured? Premised on the United Nations Declaration on the Rights of Indigenous Peoples, this book argues that indigenous peoples have inherent and inalienable rights relating to the collection, ownership and application of data about them, and about their lifeways and territories. As the first book to focus on indigenous data sovereignty, it asks: what does data sovereignty mean for indigenous peoples, and how is it being used in their pursuit of self-determination? The varied group of mostly indigenous contributors theorise and conceptualise this fast-emerging field and present case studies that illustrate the challenges and opportunities involved. These range from indigenous communities grappling with issues of identity, governance and development, to national governments and NGOs seeking to formulate a response to indigenous demands for data ownership. While the book is focused on the CANZUS states of Canada, Australia, Aotearoa/New Zealand and the United States, much of the content and discussion will be of interest and practical value to a broader global audience. ‘A debate-shaping book … it speaks to a fast-emerging field; it has a lot of important things to say; and the timing is right.’ — Stephen Cornell, Professor of Sociology and Faculty Chair of the Native Nations Institute, University of Arizona ‘The effort … in this book to theorise and conceptualise data sovereignty and its links to the realisation of the rights of indigenous peoples is pioneering and laudable.’ — Victoria Tauli-Corpuz, UN Special Rapporteur on the Rights of Indigenous Peoples, Baguio City, Philippines

Code and Clay, Data and Dirt

Author : Shannon Mattern
Publisher : U of Minnesota Press
Page : 292 pages
File Size : 55,8 Mb
Release : 2017-11-01
Category : Social Science
ISBN : 9781452955421

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Code and Clay, Data and Dirt by Shannon Mattern Pdf

For years, pundits have trumpeted the earthshattering changes that big data and smart networks will soon bring to our cities. But what if cities have long been built for intelligence, maybe for millennia? In Code and Clay, Data and Dirt Shannon Mattern advances the provocative argument that our urban spaces have been “smart” and mediated for thousands of years. Offering powerful new ways of thinking about our cities, Code and Clay, Data and Dirt goes far beyond the standard historical concepts of origins, development, revolutions, and the accomplishments of an elite few. Mattern shows that in their architecture, laws, street layouts, and civic knowledge—and through technologies including the telephone, telegraph, radio, printing, writing, and even the human voice—cities have long negotiated a rich exchange between analog and digital, code and clay, data and dirt, ether and ore. Mattern’s vivid prose takes readers through a historically and geographically broad range of stories, scenes, and locations, synthesizing a new narrative for our urban spaces. Taking media archaeology to the city’s streets, Code and Clay, Data and Dirt reveals new ways to write our urban, media, and cultural histories.

Geospatial Health Data

Author : Paula Moraga
Publisher : CRC Press
Page : 217 pages
File Size : 53,5 Mb
Release : 2019-11-26
Category : Medical
ISBN : 9781000732153

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Geospatial Health Data by Paula Moraga Pdf

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: Manipulate and transform point, areal, and raster data, Bayesian hierarchical models for disease mapping using areal and geostatistical data, Fit and interpret spatial and spatio-temporal models with the Integrated Nested Laplace Approximations (INLA) and the Stochastic Partial Differential Equation (SPDE) approaches, Create interactive and static visualizations such as disease maps and time plots, Reproducible R Markdown reports, interactive dashboards, and Shiny web applications that facilitate the communication of insights to collaborators and policy makers. The book features fully reproducible examples of several disease and environmental applications using real-world data such as malaria in The Gambia, cancer in Scotland and USA, and air pollution in Spain. Examples in the book focus on health applications, but the approaches covered are also applicable to other fields that use georeferenced data including epidemiology, ecology, demography or criminology. The book provides clear descriptions of the R code for data importing, manipulation, modeling and visualization, as well as the interpretation of the results. This ensures contents are fully reproducible and accessible for students, researchers and practitioners.

The Global Findex Database 2017

Author : Asli Demirguc-Kunt,Leora Klapper,Dorothe Singer,Saniya Ansar
Publisher : World Bank Publications
Page : 148 pages
File Size : 45,9 Mb
Release : 2018-04-19
Category : Business & Economics
ISBN : 9781464812682

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The Global Findex Database 2017 by Asli Demirguc-Kunt,Leora Klapper,Dorothe Singer,Saniya Ansar Pdf

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

Summary of Shane Safir & Jamila Dugan's Street Data

Author : Everest Media,
Publisher : Everest Media LLC
Page : 35 pages
File Size : 54,6 Mb
Release : 2022-08-29T22:59:00Z
Category : Education
ISBN : 9798350017625

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Summary of Shane Safir & Jamila Dugan's Street Data by Everest Media, Pdf

Please note: This is a companion version & not the original book. Sample Book Insights: #1 As we write this book, we are experiencing a quadruple pandemic: COVID-19, systemic racism, near economic collapse, and climate change. #2 Street data is the qualitative and experiential data that arises at eye level and on lower frequencies when we train our brains to discern it. It is asset based, and it helps educators look for what’s right in their students, schools, and communities instead of seeking out what’s wrong. #3 I have learned that there are many ways of learning and succeeding outside of the traditional American and Western education system. Learning does not require a school building or a classroom. Equity work is primarily pedagogical. #4 We hope to offer you a vision of an educational system that doesn’t yet exist, one rooted in human experience and decolonized ways of being, knowing, and learning.

Discriminating Data

Author : Wendy Hui Kyong Chun
Publisher : MIT Press
Page : 341 pages
File Size : 40,8 Mb
Release : 2021-11-02
Category : Technology & Engineering
ISBN : 9780262046220

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Discriminating Data by Wendy Hui Kyong Chun Pdf

How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.

Strong Performers and Successful Reformers in Education World Class How to Build a 21st-Century School System

Author : Schleicher Andreas
Publisher : OECD Publishing
Page : 304 pages
File Size : 52,7 Mb
Release : 2018-05-29
Category : Electronic
ISBN : 9789264300002

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Strong Performers and Successful Reformers in Education World Class How to Build a 21st-Century School System by Schleicher Andreas Pdf

Andreas Schleicher - initiator of PISA and an international authority on education policy - offers a unique perspective on education reform.