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| Author | : Shane Safir |
| Publisher | : Corwin |
| Total Pages | : 281 |
| Release | : 2021-02-12 |
| Genre | : Education |
| ISBN | : 1071812661 |
Download Street Data Book in PDF, ePub and Kindle
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.
| Author | : Dona M. Wong |
| Publisher | : W. W. Norton & Company |
| Total Pages | : 153 |
| Release | : 2013-12-16 |
| Genre | : Business & Economics |
| ISBN | : 039360974X |
Download The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures Book in PDF, ePub and Kindle
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.
| Author | : Shane Safir |
| Publisher | : John Wiley & Sons |
| Total Pages | : 368 |
| Release | : 2017-03-17 |
| Genre | : Education |
| ISBN | : 1119186358 |
Download The Listening Leader Book in PDF, ePub and Kindle
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
| Author | : Julia Lane |
| Publisher | : MIT Press |
| Total Pages | : 187 |
| Release | : 2021-10-19 |
| Genre | : Political Science |
| ISBN | : 0262542749 |
Download Democratizing Our Data Book in PDF, ePub and Kindle
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.
| Author | : Tim Harford |
| Publisher | : Penguin |
| Total Pages | : 337 |
| Release | : 2022-02-01 |
| Genre | : Business & Economics |
| ISBN | : 0593084667 |
Download The Data Detective Book in PDF, ePub and Kindle
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.
| Author | : Brent Dykes |
| Publisher | : John Wiley & Sons |
| Total Pages | : 336 |
| Release | : 2019-12-10 |
| Genre | : Computers |
| ISBN | : 1119615720 |
Download Effective Data Storytelling Book in PDF, ePub and Kindle
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.
| Author | : |
| Publisher | : |
| Total Pages | : 114 |
| Release | : 1997 |
| Genre | : Traffic accidents |
| ISBN | : |
Download State Traffic Safety Information Book in PDF, ePub and Kindle
| Author | : Wendy Hui Kyong Chun |
| Publisher | : MIT Press |
| Total Pages | : 341 |
| Release | : 2021-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0262046229 |
Download Discriminating Data Book in PDF, ePub and Kindle
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.
| Author | : Catherine D'Ignazio |
| Publisher | : MIT Press |
| Total Pages | : 328 |
| Release | : 2023-10-03 |
| Genre | : Social Science |
| ISBN | : 026254718X |
Download Data Feminism Book in PDF, ePub and Kindle
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.
| Author | : Shane Safir |
| Publisher | : Corwin Press |
| Total Pages | : 210 |
| Release | : 2021-02-18 |
| Genre | : Education |
| ISBN | : 1071812688 |
Download Street Data Book in PDF, ePub and Kindle
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.
