Improving Equity In Data Science

Download Improving Equity In Data Science full books in PDF, epub, and Kindle. Read online Improving Equity In Data Science ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Improving Equity in Data Science

Author : Colby Tofel-Grehl
Publisher : Taylor & Francis
ISBN 13 : 1040030157
Total Pages : 208 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Improving Equity in Data Science by : Colby Tofel-Grehl

Download or read book Improving Equity in Data Science written by Colby Tofel-Grehl and published by Taylor & Francis. This book was released on 2024-06-03 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving Equity in Data Science offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities. This book makes the case for field wide definitions, literacies and practices for data science teaching and learning that can be commonly discussed and used, and provides examples from research of these practices and literacies in action. Authors share stories and examples of research wherein data science advances equity and empowerment through the critical examination of social, educational, and political topics. In the first half of the book, readers will learn how data science can deliberately be embedded within K-12 spaces to empower students to use it to identify and address inequity. The latter half will focus on equity of access to data science learning opportunities in higher education, with a final synthesis of lessons learned and presentation of a 360-degree framework that links access, curriculum, and pedagogy as multiple facets collectively essential to comprehensive data science equity work. Practitioners and teacher educators will be able to answer the question, “how can data science serve to move equity efforts in computing beyond basic inclusion to empowerment?” whether the goal is to simply improve definitions and approaches to research on data science or support teachers of data science in creating more equitable and inclusive environments within their classrooms.

Data Science in Education Using R

Author : Ryan A. Estrellado
Publisher : Routledge
ISBN 13 : 1000200906
Total Pages : 315 pages
Book Rating : 4.0/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Data Science in Education Using R by : Ryan A. Estrellado

Download or read book Data Science in Education Using R written by Ryan A. Estrellado and published by Routledge. This book was released on 2020-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

Street Data

Author : Shane Safir
Publisher : Corwin
ISBN 13 : 1071812661
Total Pages : 281 pages
Book Rating : 4.0/5 (718 download)

DOWNLOAD NOW!

Book Synopsis Street Data by : Shane Safir

Download or read book Street Data written by Shane Safir and published by Corwin. This book was released on 2021-02-12 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Roundtable on Data Science Postsecondary Education

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309677734
Total Pages : 223 pages
Book Rating : 4.3/5 (96 download)

DOWNLOAD NOW!

Book Synopsis Roundtable on Data Science Postsecondary Education by : National Academies of Sciences, Engineering, and Medicine

Download or read book Roundtable on Data Science Postsecondary Education written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-09-02 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.

2021 16th International Conference on Computer Science and Education (ICCSE)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665447546
Total Pages : pages
Book Rating : 4.4/5 (475 download)

DOWNLOAD NOW!

Book Synopsis 2021 16th International Conference on Computer Science and Education (ICCSE) by : IEEE Staff

Download or read book 2021 16th International Conference on Computer Science and Education (ICCSE) written by IEEE Staff and published by . This book was released on 2021-08-17 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of the conference will cover computer science, data science, educational technology, industrial design, etc

Big Data Science and Analytics for Smart Sustainable Urbanism

Author : Simon Elias Bibri
Publisher : Springer
ISBN 13 : 3030173127
Total Pages : 337 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Big Data Science and Analytics for Smart Sustainable Urbanism by : Simon Elias Bibri

Download or read book Big Data Science and Analytics for Smart Sustainable Urbanism written by Simon Elias Bibri and published by Springer. This book was released on 2019-05-30 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Data Science and Business Intelligence for Corporate Decision-Making

Author : Dr. P. S. Aithal
Publisher : Srinivas Publication, Mangalore
ISBN 13 : 9394676449
Total Pages : 222 pages
Book Rating : 4.3/5 (946 download)

DOWNLOAD NOW!

Book Synopsis Data Science and Business Intelligence for Corporate Decision-Making by : Dr. P. S. Aithal

Download or read book Data Science and Business Intelligence for Corporate Decision-Making written by Dr. P. S. Aithal and published by Srinivas Publication, Mangalore. This book was released on 2024-02-09 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book: A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.

Communities in Action

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309452961
Total Pages : 583 pages
Book Rating : 4.3/5 (94 download)

DOWNLOAD NOW!

Book Synopsis Communities in Action by : National Academies of Sciences, Engineering, and Medicine

Download or read book Communities in Action written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-04-27 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

Data Feminism

Author : Catherine D'Ignazio
Publisher : MIT Press
ISBN 13 : 026254718X
Total Pages : 328 pages
Book Rating : 4.2/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Data Feminism by : Catherine D'Ignazio

Download or read book Data Feminism written by Catherine D'Ignazio and published by MIT Press. This book was released on 2023-10-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Actionable Intelligence

Author : John Fantuzzo
Publisher : Springer
ISBN 13 : 1137475110
Total Pages : 235 pages
Book Rating : 4.1/5 (374 download)

DOWNLOAD NOW!

Book Synopsis Actionable Intelligence by : John Fantuzzo

Download or read book Actionable Intelligence written by John Fantuzzo and published by Springer. This book was released on 2015-11-04 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multifaceted social problems like disaster relief, homelessness, health care, and academic achievement gaps cannot be adequately addressed with isolated and disconnected public service agencies. The Actionable Intelligence for Social Policy model addresses the limitations to traditional approaches to American public administration.

Data Science and Human-Environment Systems

Author : Steven M. Manson
Publisher : Cambridge University Press
ISBN 13 : 1108787436
Total Pages : 271 pages
Book Rating : 4.1/5 (87 download)

DOWNLOAD NOW!

Book Synopsis Data Science and Human-Environment Systems by : Steven M. Manson

Download or read book Data Science and Human-Environment Systems written by Steven M. Manson and published by Cambridge University Press. This book was released on 2023-01-31 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transformation of the Earth's social and ecological systems is occurring at a rate and magnitude unparalleled in human experience. Data science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. However, data science faces serious shortcomings when it comes to human-environment research. There are challenges with social and environmental data, the methods that manipulate and analyze the information, and the theory underlying the data science itself; as well as significant legal, ethical and policy concerns. This timely book offers a comprehensive, balanced, and accessible account of the promise and problems of this work in terms of data, methods, theory, and policy. It demonstrates the need for data scientists to work with human-environment scholars to tackle pressing real-world problems, making it ideal for researchers and graduate students in Earth and environmental science, data science and the environmental social sciences.

Leadership in Statistics and Data Science

Author : Amanda L. Golbeck
Publisher : Springer Nature
ISBN 13 : 3030600602
Total Pages : 432 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Leadership in Statistics and Data Science by : Amanda L. Golbeck

Download or read book Leadership in Statistics and Data Science written by Amanda L. Golbeck and published by Springer Nature. This book was released on 2021-03-22 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection brings together voices of the strongest thought leaders on diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership. It provides futuristic ideas for promoting opportunities for equitable leadership, as well as tested approaches that have already been found to make a difference. It speaks to the challenges and opportunities of leading successful research collaborations and making strong connections within research teams. Curated with a vision that leadership takes a myriad of forms, and that diversity has many dimensions, this volume examines the nuances of leadership within a workplace environment and promotes storytelling and other competencies as critical elements of effective leadership. It makes the case for inclusive and humanistic leadership in statistics and data science, where there often remains a dearth of women and members of certain racial communities among the employees. Titled and non-titled leaders will benefit from the planning, evaluation, and structural tools offered within to contribute inclusive excellence in workplace climate, environment, and culture.

Stuck in the Shallow End, updated edition

Author : Jane Margolis
Publisher : MIT Press
ISBN 13 : 0262533464
Total Pages : 245 pages
Book Rating : 4.2/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Stuck in the Shallow End, updated edition by : Jane Margolis

Download or read book Stuck in the Shallow End, updated edition written by Jane Margolis and published by MIT Press. This book was released on 2017-03-03 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why so few African American and Latino/a students study computer science: updated edition of a book that reveals the dynamics of inequality in American schools. The number of African Americans and Latino/as receiving undergraduate and advanced degrees in computer science is disproportionately low. And relatively few African American and Latino/a high school students receive the kind of institutional encouragement, educational opportunities, and preparation needed for them to choose computer science as a field of study and profession. In Stuck in the Shallow End, Jane Margolis and coauthors look at the daily experiences of students and teachers in three Los Angeles public high schools: an overcrowded urban high school, a math and science magnet school, and a well-funded school in an affluent neighborhood. They find an insidious “virtual segregation” that maintains inequality. The race gap in computer science, Margolis discovers, is one example of the way students of color are denied a wide range of occupational and educational futures. Stuck in the Shallow End is a story of how inequality is reproduced in America—and how students and teachers, given the necessary tools, can change the system. Since the 2008 publication of Stuck in the Shallow End, the book has found an eager audience among teachers, school administrators, and academics. This updated edition offers a new preface detailing the progress in making computer science accessible to all, a new postscript, and discussion questions (coauthored by Jane Margolis and Joanna Goode).

Recent Developments in Data Science and Business Analytics

Author : Madjid Tavana
Publisher : Springer
ISBN 13 : 3319727451
Total Pages : 505 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Recent Developments in Data Science and Business Analytics by : Madjid Tavana

Download or read book Recent Developments in Data Science and Business Analytics written by Madjid Tavana and published by Springer. This book was released on 2018-03-27 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.

Moving the Equity Agenda Forward

Author : Julie A. Bianchini
Publisher : Springer Science & Business Media
ISBN 13 : 9400744676
Total Pages : 378 pages
Book Rating : 4.4/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Moving the Equity Agenda Forward by : Julie A. Bianchini

Download or read book Moving the Equity Agenda Forward written by Julie A. Bianchini and published by Springer Science & Business Media. This book was released on 2012-08-11 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume takes on the vital tasks of celebrating, challenging, and attempting to move forward our understanding of equity and diversity in science education. Organized thematically, the book explores five key areas of science education equity research: science education policy; globalization; context and culture; discourse, language and identity; and leadership and social networking. Chapter authors -- emerging to established US science education scholars -- present their latest research on how to make science interesting and accessible to all students. The volume includes international voices as well: Scholars from around the world crafted responses to each section. Together, authors and respondents attempt to refine our methods for examining equity issues across classrooms, schools, and policies, and deepen our understanding of ways to promote equity and acknowledge diversity in science classrooms. Moving the Equity Agenda Forward is endorsed by NARST: A Worldwide Organization for Improving Science Teaching and Learning Through Research. The volume gains authority from the fact that it was edited by one current and four former chairs of NARST’s Equity and Ethics Committee.

Data Science in Critical Care, An Issue of Critical Care Clinics, E-Book

Author : Rishikesan Kamaleswaran
Publisher : Elsevier Health Sciences
ISBN 13 : 0443181942
Total Pages : 217 pages
Book Rating : 4.4/5 (431 download)

DOWNLOAD NOW!

Book Synopsis Data Science in Critical Care, An Issue of Critical Care Clinics, E-Book by : Rishikesan Kamaleswaran

Download or read book Data Science in Critical Care, An Issue of Critical Care Clinics, E-Book written by Rishikesan Kamaleswaran and published by Elsevier Health Sciences. This book was released on 2023-09-13 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of Critical Care Clinics, guest editors Drs. Rishikesan Kamaleswaran and Andre L. Holder bring their considerable expertise to the topic of Data Science in Critical Care. Data science, the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting. In this issue, top experts in the field cover key topics such as refining our understanding and classification of critical illness using biomarker-based phenotyping; predictive modeling using AI/ML on EHR data; classification and prediction using waveform-based data; creating trustworthy and fair AI systems; and more. Contains 15 relevant, practice-oriented topics including AI and the imaging revolution; designing “living, breathing clinical trials: lessons learned from the COVID-19 pandemic; the patient or the population: knowing the limitations of our data to make smart clinical decisions; weighing the cost vs. benefit of AI in healthcare; and more. Provides in-depth clinical reviews on data science in critical care, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Analyzing Health Equity Using Household Survey Data

Author : Adam Wagstaff
Publisher : World Bank Publications
ISBN 13 : 9780821369340
Total Pages : 165 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Analyzing Health Equity Using Household Survey Data by : Adam Wagstaff

Download or read book Analyzing Health Equity Using Household Survey Data written by Adam Wagstaff and published by World Bank Publications. This book was released on 2007-11-02 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have gaps in health outcomes between the poor and better off grown? Are they larger in one country than another? Are health sector subsidies more equally distributed in some countries than others? Are health care payments more progressive in one health care financing system than another? What are catastrophic payments and how can they be measured? How far do health care payments impoverish households? Answering questions such as these requires quantitative analysis. This in turn depends on a clear understanding of how to measure key variables in the analysis, such as health outcomes, health expenditures, need, and living standards. It also requires set quantitative methods for measuring inequality and inequity, progressivity, catastrophic expenditures, poverty impact, and so on. This book provides an overview of the key issues that arise in the measurement of health variables and living standards, outlines and explains essential tools and methods for distributional analysis, and, using worked examples, shows how these tools and methods can be applied in the health sector. The book seeks to provide the reader with both a solid grasp of the principles underpinning distributional analysis, while at the same time offering hands-on guidance on how to move from principles to practice.