data science union ucla: The Students We Share Patricia Gándara, Bryant Jensen, 2021-05-01 Millions of students in the US and Mexico begin their educations in one country and find themselves trying to integrate into the school system of the other. As global migration increases, their numbers are expected to grow and more and more teachers will find these transnational students in their classrooms. The goal of The Students We Share is to prepare educators for this present and future reality. While the US has been developing English as a Second Language programs for decades, Mexican schools do not offer such programs in Spanish and neither the US nor Mexico has prepared its teachers to address the educational, social-psychological, or other personal needs of transnational students. Teachers know little about the circumstances of transnational students' lives or histories and have little to no knowledge of the school systems of the country from which they or their family come. As such, they are fundamentally unprepared to equitably educate the students we share, who often fall through the cracks and end their educations prematurely. Written by both Mexican and US pioneers in the field, chapters in this volume aim to prepare educators on both sides of the US-Mexico border to better understand the circumstances, strengths, and needs of the transnational students we teach. With recommendations for policymakers, administrators, teacher educators, teachers, and researchers in both countries, The Students We Share shows how preparing teachers is our shared responsibility and opportunity. It describes policies, classroom practices, and norms of both systems, as well as examples of ongoing partnerships across borders to prepare the teachers we need for our shared students to thrive. |
data science union ucla: Data Science Ethics David Martens, 2022-03-24 Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data. |
data science union ucla: High-Dimensional Probability Roman Vershynin, 2018-09-27 An integrated package of powerful probabilistic tools and key applications in modern mathematical data science. |
data science union ucla: Info We Trust RJ Andrews, 2019-01-03 How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation — what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things “in formation” to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers. |
data science union ucla: Science With The Cherenkov Telescope Array The Cta Consortium, 2018-12-31 This book summarizes the science to be carried out by the upcoming Cherenkov Telescope Array, a major ground-based gamma-ray observatory that will be constructed over the next six to eight years. The major scientific themes, as well as core program of key science projects, have been developed by the CTA Consortium, a collaboration of scientists from many institutions worldwide.CTA will be the major facility in high-energy and very high-energy photon astronomy over the next decade and beyond. CTA will have capabilities well beyond past and present observatories. Thus, CTA's science program is expected to be rich and broad and will complement other major multiwavelength and multimessenger facilities. This book is intended to be the primary resource for the science case for CTA and it thus will be of great interest to the broader physics and astronomy communities. The electronic version (e-book) is available in open access. |
data science union ucla: Preparing and Sustaining Social Justice Educators Annamarie Francois, Karen Hunter Quartz, 2021-08-24 Preparing and Sustaining Social Justice Educators spotlights the challenging and necessary work of fostering social justice in schools. Integral to this work are the teachers and school leaders who enact the principles of social justice--racial equity, cultural inclusivity, and identity acceptance--daily in their classrooms. This volume makes the case that high-quality public education relies on the recruitment, professional development, and retention of educators ready to navigate complex systemic and structural inequities to best serve vulnerable student populations. Annamarie Francois and Karen Hunter Quartz, along with contributing scholars and practitioners, present an intersectional approach to educational justice that is grounded in research about deeper learning, community development, and school reform. Throughout the book, the contributors detail professional activities proven to sustain social justice educators. They show how effective teacher coaching, for example, encourages educators to confront their explicit and implicit biases, to engage in critical conversations and self-reflection, and to assess teacher performance through a social justice lens. The book illustrates how professional learning collaborations promote diverse, antiracist, and socially responsible learning communities. Case studies at three university-partnered K-12 schools in Los Angeles, demonstrate the benefits of these professional alliances and practices. Francois and Quartz acknowledge the difficulty of the social justice educator's task, a challenge heightened by a K-12 teacher shortage, an undersupplied teacher pipeline, and school closures. Yet they keep their sights set on a just and equitable future, and in this work they give educators the tools to build such a future. |
data science union ucla: Roundtable on Data Science Postsecondary Education National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Division on Engineering and Physical Sciences, Board on Science Education, Computer Science and Telecommunications Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, 2020-09-02 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. |
data science union ucla: Learning to Solve Problems by Searching for Macro-operators Richard E. Korf, 1985 This monograph explores the idea of learning efficient strategies for solving problems by searching for macro-operators. |
data science union ucla: New Advances in Statistics and Data Science Ding-Geng Chen, Zhezhen Jin, Gang Li, Yi Li, Aiyi Liu, Yichuan Zhao, 2018-01-17 This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice. |
data science union ucla: Comparing European Workers David Brady, 2011-06-22 Focuses on the politics, economics, sociology, and history of work and workers in Europe. This title places the labor markets, workplaces, jobs and workers of Europe in comparative perspective, and compares contemporary patterns and the history of European workers with other models of work worldwide. |
data science union ucla: Causal Inference in Statistics Judea Pearl, Madelyn Glymour, Nicholas P. Jewell, 2016-01-25 CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as Does this treatment harm or help patients? But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding. |
data science union ucla: Encyclopedia of Planetary Sciences J.H. Shirley, Rhodes W. Fairbridge, 1997-06-30 Planetary science is a truly multidisciplinary subject. The book deals with the atmospheres, surfaces and interiors of the planets and moons, and with the interplanetary environment of plasma and fields, as well as with asteroids and meteorites. Processes such as accretion, differentiation, thermal evolution, and impact cratering form another category of entries. Remote sensing techniques employed in investigation and exploration, such as magnetometry, photometry, and spectroscopy are described in separate articles. In addition, the Encyclopedia chronicles the history of planetary science, including biographies of pioneering scientists, and detailed descriptions of all major lunar and planetary missions and programs. The Encyclopedia of Planetary Sciences is superbly illustrated throughout with over 450 line drawings, 180 black and white photographs, and 63 color illustrations. It will be a key reference source for planetary scientists, astronomers, and workers in related disciplines such as geophysics, geology, and the atmospheric sciences. |
data science union ucla: Union by Law Michael W. McCann, George I. Lovell, 2020-04-21 Starting in the early 1900s, many thousands of native Filipinos were conscripted as laborers in American West Coast agricultural fields and Alaska salmon canneries. There, they found themselves confined to exploitative low-wage jobs in racially segregated workplaces as well as subjected to vigilante violence and other forms of ethnic persecution. In time, though, Filipino workers formed political organizations and affiliated with labor unions to represent their interests and to advance their struggles for class, race, and gender-based social justice. Union by Law analyzes the broader social and legal history of Filipino American workers’ rights-based struggles, culminating in the devastating landmark Supreme Court ruling, Wards Cove Packing Co. v. Atonio (1989). Organized chronologically, the book begins with the US invasion of the Philippines and the imposition of colonial rule at the dawn of the twentieth century. The narrative then follows the migration of Filipino workers to the United States, where they mobilized for many decades within and against the injustices of American racial capitalist empire that the Wards Cove majority willfully ignored in rejecting their longstanding claims. This racial innocence in turn rationalized judicial reconstruction of official civil rights law in ways that significantly increased the obstacles for all workers seeking remedies for institutionalized racism and sexism. A reclamation of a long legacy of racial capitalist domination over Filipinos and other low-wage or unpaid migrant workers, Union by Law also tells a story of noble aspirational struggles for human rights over several generations and of the many ways that law was mobilized both to enforce and to challenge race, class, and gender hierarchy at work. |
data science union ucla: Industrial Relations: Labour markets, labour process and trade unionism John E. Kelly, 2002 This set is designed to capture both the complexity of the field of industrial relations globally, as well as bringing out the continuing relevance of competing theoretical approaches to the subject. |
data science union ucla: Handbook on Evaluation Reinhard Stockmann, 2024-08-06 In this Handbook, Reinhard Stockmann and other esteemed experts in the field provide a systematic and comprehensive exploration into the planning, process, implementation and utilisation of evaluations. Covering the process and individual steps of evaluation in detail, in chronological order and in terms of practical application, it identifies the characteristics and standards that distinguish a professionally and competently conducted evaluation. |
data science union ucla: At the Limits of Cure Bharat Jayram Venkat, 2021-11-05 Drawing on historical and ethnographic research on tuberculosis in India, Bharat Jayram Venkat explores what it means to be cured and what it means for a cure to be partial, temporary, or selectively effective. |
data science union ucla: Improbable Scholars David L. Kirp, 2015 In Improbable Scholars, David L. Kirp challenges the conventional wisdom about public schools and education reform in America through an in-depth look at Union City, New Jersey's high-performing urban school district. In this compelling study, Kirp reveals Union's city's revolutionary secret: running an exemplary school system doesn't demand heroics, just hard and steady work. |
data science union ucla: Selected Works of Michael Wallerstein David Austen-Smith, Jeffry A. Frieden, Miriam A. Golden, Karl Ove Moene, Adam Przeworski, 2008-03-17 Michael Wallerstein was a leader in developing a rigorous comparative political economy approach to understanding substantive issues of inequality, redistribution, and wage-determination. His early death from cancer left both a hole in the profession and a legacy that will surely provide the foundation for research on these topics. This volume collects his most important and influential contributions, organized by topic, with each topic preceded by an editorial introduction that provides overview and context. |
data science union ucla: Encyclopedia of Information Systems and Services , 1985 |
data science union ucla: Continuity and Change in Contemporary Capitalism Herbert Kitschelt, 1999-01-13 In the early 1980s, many observers, argued that powerful organized economic interests and social democratic parties created successful mixed economies promoting economic growth, full employment, and a modicum of social equality. The present book assembles scholars with formidable expertise in the study of advanced capitalist politics and political economy to reexamine this account from the vantage point of the second half of the 1990s. The authors find that the conventional wisdom no longer adequately reflects the political and economic realities. Advanced democracies have responded in path-dependent fashion to such novel challenges as technological change, intensifying international competition, new social conflict, and the erosion of established patterns of political mobilization. The book rejects, however, the currently widespread expectation that 'internationalization' makes all democracies converge on similar political and economic institutions and power relations. Diversity among capitalist democracies persists, though in a different fashion than in the 'Golden Age' of rapid economic growth after World War II. |
data science union ucla: Mercury Sean C. Solomon, Larry R. Nittler, Brian J. Anderson, 2018-12-20 Offers an authoritative synthesis of knowledge of the planet Mercury after the MESSENGER mission, for researchers and students in planetary science. |
data science union ucla: OpenIntro Statistics David Diez, Christopher Barr, Mine Çetinkaya-Rundel, 2015-07-02 The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources. |
data science union ucla: Sharing Clinical Trial Data Institute of Medicine, Board on Health Sciences Policy, Committee on Strategies for Responsible Sharing of Clinical Trial Data, 2015-04-20 Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients. |
data science union ucla: Planetary Tectonics Thomas R. Watters, Richard A. Schultz, 2010 This book is an essential reference volume that surveys tectonic landforms on solid bodies throughout the Solar System. |
data science union ucla: Crystal Structure Analysis Jenny Pickworth Glusker, Kenneth N. Trueblood, 2010-05-27 This book aims to explain how and why the detailed three-dimensional architecture of molecules can be determined by an analysis of the diffraction patterns obtained when X rays or neutrons are scattered by the atoms in single crystals. Part 1 deals with the nature of the crystalline state, diffraction generally, and diffraction by crystals in particular, and, briefly, the experimental procedures that are used. Part II examines the problem of converting the experimentally obtained data into a model of the atomic arrangement that scattered these beams. Part III is concerned with the techniques for refining the approximate structure to the degree warranted by the experimental data. It also describes the many types of information that can be learned by modern crystal structure analysis. There is a glossary of terms used and several appendixes to which most of the mathematical details have been relegated. |
data science union ucla: Major Events in the History of Life J. William Schopf, 1992 Major Events in the History of Life, present six chapters that summarize our understanding of crucial events that shaped the development of the earth's environment and the course of biological evolution over some four billion years of geological time. The subjects are covered by acknowledged leaders in their fields span an enormous sweep of biologic history, from the formation of planet Earth and the origin of living systems to our earliest records of human activity. Several chapters present new data and new syntheses, or summarized results of new types of analysis, material not usually available in current college textbooks. |
data science union ucla: Social Sciences for a Digital World Building Infrastructure and Databases for the Future OECD, 2000-07-06 This book provides high-level experts’ visions of how the information and communication technologies are providing exciting new research opportunities in the social sciences. |
data science union ucla: Yemenis in New York City Shalom Staub, 1989 Based on fieldwork among Yemeni emigrants in New York City, this study traces an expanding frame of social interaction and relationships and examines the folklore of ethnity, including narratives, jokes, poetry, music, dance, foodways, and religious custom. |
data science union ucla: Speculative Pedagogies Antero Garcia, Nicole Mirra, 2023 Can you imagine future learning environments devoid of the systemic inequities that stifle student learning opportunities and teacher decision-making in most classrooms today? This volume offers the necessary steps—playful, participatory, historically informed—that are required to forge a pathway from the present U.S. educational landscape to a freer tomorrow. The authors use speculative approaches to teacher education and student learning to intentionally design beyond the boundaries of traditional research and practitioner resources that seek to “fix” current schooling conditions. Building from visionary organizing and artistic traditions that have captured the popular imagination, this volume suggests new forms of engagement for diverse learners. It pragmatically explores how to work toward radical new spaces of possibility for learning and teaching. Chapters include a range of learning contexts, from problem solving in complex video game settings to innovative world-building alongside young people in schools and communities. Readers will be inspired to completely rethink what is possible when it comes to justice-oriented, culturally responsive education. Book Features: A collection of over 40 contributors explore speculative education across a range of research settings.Examples of digital learning that include videogames and online collaboration.Multiple chapters that feature co-authored research and innovation with students and teachers.Innovative design and pedagogical strategies, including a chapter re-writing policy documents based on speculative imagination. |
data science union ucla: The Workers of Nations Sanford M. Jacoby, 1995 The international economy is a key factor shaping relations between employers, unions and governments in the world's advanced industrial societies. This study reports how globalization affects the contemporary workplace and how workplace policies can make |
data science union ucla: Asteroids IV Patrick Michel, Francesca E. DeMeo, William F. Bottke, 2015-12-31 More than forty chapters detail our current astronomical, compositional, geological, and geophysical knowledge of asteroids, as well as their unique physical processes and interrelationships with comets and meteorites--Provided by publisher. |
data science union ucla: New Technologies for Human Rights Law and Practice Molly K. Land, Jay D. Aronson, 2018-04-19 New technological innovations offer significant opportunities to promote and protect human rights. At the same time, they also pose undeniable risks. In some areas, they may even be changing what we mean by human rights. The fact that new technologies are often privately controlled raises further questions about accountability and transparency and the role of human rights in regulating these actors. This volume - edited by Molly K. Land and Jay D. Aronson - provides an essential roadmap for understanding the relationship between technology and human rights law and practice. It offers cutting-edge analysis and practical strategies in contexts as diverse as autonomous lethal weapons, climate change technology, the Internet and social media, and water meters. This title is also available as Open Access. |
data science union ucla: Heroes and Cowards Dora L. Costa, Matthew E. Kahn, 2010-09-02 When are people willing to sacrifice for the common good? What are the benefits of friendship? How do communities deal with betrayal? And what are the costs and benefits of being in a diverse community? Using the life histories of more than forty thousand Civil War soldiers, Dora Costa and Matthew Kahn answer these questions and uncover the vivid stories, social influences, and crucial networks that influenced soldiers' lives both during and after the war. Drawing information from government documents, soldiers' journals, and one of the most extensive research projects about Union Army soldiers ever undertaken, Heroes and Cowards demonstrates the role that social capital plays in people's decisions. The makeup of various companies--whether soldiers were of the same ethnicity, age, and occupation--influenced whether soldiers remained loyal or whether they deserted. Costa and Kahn discuss how the soldiers benefited from friendships, what social factors allowed some to survive the POW camps while others died, and how punishments meted out for breaking codes of conduct affected men after the war. The book also examines the experience of African-American soldiers and makes important observations about how their comrades shaped their lives. Heroes and Cowards highlights the inherent tensions between the costs and benefits of community diversity, shedding light on how groups and societies behave and providing valuable lessons for the present day. |
data science union ucla: Union Booms and Busts Judith Stepan-Norris, Jasmine Kerrissey, 2023 Union Booms and Busts takes a bird's eye view of the shifting fortunes of U.S. workers and their unions on the one hand, and employers and their organizations on the other. Using detailed data, this book analyses union density across 11 industries and 115 years, contrasting the organizing and union building successes and failures across decades. With attention to historical developments and the economic, political, and legal contexts of each period, it highlights workers' and their unions' actions, including strikes, union elections, and organizing strategies as well those of employers, who aimed to disrupt union organizing using legal maneuvers, workforce-based strategies, and race and gender divisions. By demonstrating how workers used strikes, elections, and other strategies to win power and employers used legal maneuvers, workforce-based strategies, and race and gender divisions to disrupt unions, the authors reveal data-driven truths about the ongoing history of unionization. Chapters follow time periods: the early unregulated period where unions took hold in only a handful of industries; the mid-century regulated period where strikes, elections, and union density grew across industries; and the later dis-regulated period where union trajectories diverged, with some industries seeing drastic decline and others holding steady. The book concludes by turning toward what might come next for workers and unions in America and provides access to on-line data for readers who want to take a closer look |
data science union ucla: Writing Your Journal Article in Twelve Weeks Wendy Laura Belcher, 2009-01-20 This book provides you with all the tools you need to write an excellent academic article and get it published. |
data science union ucla: Fahrenheit 451 Ray Bradbury, 1968 A fireman in charge of burning books meets a revolutionary school teacher who dares to read. Depicts a future world in which all printed reading material is burned. |
data science union ucla: Encyclopedia of Associations Verne Thompson, 2013-04-12 |
data science union ucla: Transforming Literacy: Changing Lives Through Reading and Writing Robert P. Waxler, Maureen P. Hall, 2011-05-11 The book is interdisciplinary in focus and centers on enlarging teachers understanding of how reading and writing can change lives and how the language arts can contribute significantly to and change educational processes in the twenty-first century. Implicit in its argument is that although the emphasis on science and math is crucial to education in the digital edge, it remains vitally important to keep reading and writing, language and story, at the heart of the educational process. This is particularly true in a democratic society because shaping stories through human language can enhance the quality of our lives, and teach us something important about what it means to be human and vulnerable. In this sense, stories allow for self-reflection and an increased opportunity to enhance and understand emotional intelligence and human community. |
data science union ucla: A Miscarriage of Justice Cassia Roth, 2020-01-14 A Miscarriage of Justice examines women's reproductive health in relation to legal and medical policy in Rio de Janeiro, Brazil. After the abolition of slavery in 1888 and the onset of republicanism in 1889, women's reproductive capabilities—their ability to conceive and raise future citizens and laborers—became critical to the expansion of the new Brazilian state. Analyzing court cases, law, medical writings, and health data, Cassia Roth argues that the state's approach to women's health in the early twentieth century focused on criminalizing fertility control without improving services or outcomes for women. Ultimately, the increasingly interventionist state fostered a culture of condemnation around poor women's reproduction that extended beyond elite discourses into the popular imagination. By tracing how legal thought and medical knowledge became cemented into law and clinical practice, how obstetricians, public health officials, and legal practitioners approached fertility control, and how women experienced and negotiated their reproductive lives, A Miscarriage of Justice provides a new way of interpreting the intertwined histories of gender, race, reproduction, and the state—and shows how these questions continue to reverberate in debates over reproductive rights and women's health in Brazil today. |
data science union ucla: National Library of Medicine Current Catalog National Library of Medicine (U.S.), 1973 First multi-year cumulation covers six years: 1965-70. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a Transnationa…
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; …
Belmont Forum Adopts Open Data Principles for Environmental Chan…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, released in …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process from …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be collected, …