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Roundtable On Data Science Postsecondary Education
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Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :030967770X Total Pages :223 pages Book Rating :4.3/5 (96 download)
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 2020-10-02 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.
Book Synopsis Data Science for Mathematicians by : Nathan Carter
Download or read book Data Science for Mathematicians written by Nathan Carter and published by CRC Press. This book was released on 2020-09-16 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians. This handbook will assist mathematicians to better understand the opportunities presented by data science. As it applies to the curriculum, research, and career opportunities, data science is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them.
Book Synopsis Diversifying the STEM Fields: From Individual to Structural Approaches by : Rodolfo Mendoza-Denton
Download or read book Diversifying the STEM Fields: From Individual to Structural Approaches written by Rodolfo Mendoza-Denton and published by Frontiers Media SA. This book was released on 2023-02-14 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Cultures in Higher Education by : Juliana E. Raffaghelli
Download or read book Data Cultures in Higher Education written by Juliana E. Raffaghelli and published by Springer Nature. This book was released on 2023-03-07 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and “formae mentis” to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with data. Notably, the book spots data practices within the two most relevant sides of academics’ professional practice, namely, research and teaching. Hence, the collection seeks to reflect on faculty’s professional learning about data infrastructures and practices. The book draws on a range of studies covering the higher education response to the several facets of data in society, from data surveillance and the algorithmic control of human behaviour to empowerment through the use of open data. The research reported ranges from literature overviews to multi-case and in-depth case studies illustrating institutional and educational responses to different problems connected to data. The ultimate intention is to provide conceptual bases and practical examples relating to universities’ faculty development policies to overcome data practices and discourses' fragmentation and contradictions: in a nutshell, to build “fair data cultures” in higher education.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309494141 Total Pages :109 pages Book Rating :4.3/5 (94 download)
Book Synopsis Enhancing Urban Sustainability with Data, Modeling, and Simulation by : National Academies of Sciences, Engineering, and Medicine
Download or read book Enhancing Urban Sustainability with Data, Modeling, and Simulation written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-09-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.
Book Synopsis The Ethical Use of Data in Education by : Ellen B. Mandinach
Download or read book The Ethical Use of Data in Education written by Ellen B. Mandinach and published by Teachers College Press. This book was released on 2021 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they impact decisionmaking. They will understand how codes of ethics deal with the use of data within education as well as in other disciplines. Chapters provide a landscape view of the regulations that pertain to data use and policies that have emerged, including the impact of accountability on data use and data ethics. The text covers data ethics in local education agencies, professional development, educator preparation, testing programs, and educational technology. Chapter authors recommend steps to improve awareness among educators, stakeholders, and other interested groups and suggest actions that can be taken to enhance educators’ capacity to use data responsibly. A final use case chapter describes the importance of data ethics in terms of equity in schools and includes salient examples of ethical dilemmas, with questions and reflections on how ethics and equity apply to each situation. The conclusion addresses data ethics in terms of professionalism and poses several recommendations to challenge educators in ways to raise awareness of and integrate data ethics into educational practice. Book Features: Discusses how accountability affects effective data, including the pressure on schools and districts to perform better on test scores or other indicators. Outlines ten recommendations for how professional development can incorporate data ethics in practice.Reviews the expectations and realities of preparing educators for data literacy, including an example of one teacher education program’s integrated, curriculum-wide approach. Considers the role of testing companies in ethical data use, including issues around equity in assessment data.Explores how educational technologies, platforms, and applications impact data use. Contributors: Wayne Camara, Michelle Croft, Amanda Datnow, Chris Dede, Edward Dieterle, Sherman Dorn, Paul Gibbs, Edith S. Gummer, Beth Holland, Taryn A. Hochleitner, Jo Beth Jimerson, Marie Lockton, Ellen B. Mandinach, Sharon L. Nichols, Diana Nunnaley, Brennan McMahon Parton, Amelia Vance, Alina von Davier, Casey Waughn, Haley Weddle
Book Synopsis Data for students by : Katherine Brittany Leu
Download or read book Data for students written by Katherine Brittany Leu and published by RTI Press. This book was released on 2020-03-26 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics and data science can address challenges to student success. Postsecondary institutions have already creatively used analytics to address the problem of college completion through innovations such as academic early warning systems and adaptive learning technologies. A diverse array of data on postsecondary education exists both within and outside of institutions and can be used in analytics to provide a richer view of student success and improve equity. Increased data collection and analysis open up the challenges of data linkage across units and the risk of ethical and privacy violations, which deserve more attention.
Book Synopsis Statistics in the Public Interest by : Alicia L. Carriquiry
Download or read book Statistics in the Public Interest written by Alicia L. Carriquiry and published by Springer Nature. This book was released on 2022-04-22 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submissions from a wide range of contemporary authors to explore the fields in which Fienberg made significant contributions, including contingency tables and log-linear models, privacy and confidentiality, forensics and the law, the decennial census and other surveys, the National Academies, Bayesian theory and methods, causal inference and causes of effects, mixed membership models, and computing and machine learning. Each section begins with an overview of Fienberg’s contributions and continues with chapters by Fienberg’s students, colleagues, and collaborators exploring recent advances and the current state of research on the topic. In addition, this volume includes a biographical introduction as well as a memorial concluding chapter comprised of entries from Stephen and Joyce Fienberg’s close friends, former students, colleagues, and other loved ones, as well as a photographic tribute.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309475597 Total Pages :139 pages Book Rating :4.3/5 (94 download)
Book Synopsis Data Science for Undergraduates by : National Academies of Sciences, Engineering, and Medicine
Download or read book Data Science for Undergraduates written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-11-11 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.
Book Synopsis A Guide to Selected Data Bases in Postsecondary Education by : David J. Makowski
Download or read book A Guide to Selected Data Bases in Postsecondary Education written by David J. Makowski and published by . This book was released on 1980 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :National Academies of Sciences, Engineering, and Medicine Publisher : ISBN 13 :9780309465021 Total Pages :68 pages Book Rating :4.4/5 (65 download)
Book Synopsis Envisioning the Data Science Discipline by : National Academies of Sciences, Engineering, and Medicine
Download or read book Envisioning the Data Science Discipline written by National Academies of Sciences, Engineering, and Medicine and published by . This book was released on 2018-06-27 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The nation�e(tm)s ability to make use of these data depends on the availability of an educated workforce with necessary expertise. With these new capabilities have come novel ethical challenges regarding the effectiveness and appropriateness of broad applications of data analyses. The field of data science has emerged to address the proliferation of data and the need to manage and understand it. Data science is a hybrid of multiple disciplines and skill sets, draws on diverse fields (including computer science, statistics, and mathematics), encompasses topics in ethics and privacy, and depends on specifics of the domains to which it is applied. Fueled by the explosion of data, jobs that involve data science have proliferated and an array of data science programs at the undergraduate and graduate levels have been established. Nevertheless, data science is still in its infancy, which suggests the importance of envisioning what the field might look like in the future and what key steps can be taken now to move data science education in that direction. This study will set forth a vision for the emerging discipline of data science at the undergraduate level. This interim report lays out some of the information and comments that the committee has gathered and heard during the first half of its study, offers perspectives on the current state of data science education, and poses some questions that may shape the way data science education evolves in the future. The study will conclude in early 2018 with a final report that lays out a vision for future data science education.
Book Synopsis Data for Students by : Katherine Leu
Download or read book Data for Students written by Katherine Leu and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Postsecondary education is awash in data. Postsecondary institutions track data on students' demographics, academic performance, course-taking, and financial aid, and have put these data to use, applying data analytics and data science to issues in college completion. Meanwhile, an extensive amount of higher education data are being collected outside of institutions, opening possibilities for data linkages. Newer sources of postsecondary education data could provide an even richer view of student success and improve equity. To explore this potential, this brief describes existing applications of analytics to student success, presents a framework to structure understanding of postsecondary data topics, suggests potential extensions of these data to student success, and describes practical and ethical challenges.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309465052 Total Pages :69 pages Book Rating :4.3/5 (94 download)
Book Synopsis Envisioning the Data Science Discipline by : National Academies of Sciences, Engineering, and Medicine
Download or read book Envisioning the Data Science Discipline written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-03-05 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The nation's ability to make use of these data depends on the availability of an educated workforce with necessary expertise. With these new capabilities have come novel ethical challenges regarding the effectiveness and appropriateness of broad applications of data analyses. The field of data science has emerged to address the proliferation of data and the need to manage and understand it. Data science is a hybrid of multiple disciplines and skill sets, draws on diverse fields (including computer science, statistics, and mathematics), encompasses topics in ethics and privacy, and depends on specifics of the domains to which it is applied. Fueled by the explosion of data, jobs that involve data science have proliferated and an array of data science programs at the undergraduate and graduate levels have been established. Nevertheless, data science is still in its infancy, which suggests the importance of envisioning what the field might look like in the future and what key steps can be taken now to move data science education in that direction. This study will set forth a vision for the emerging discipline of data science at the undergraduate level. This interim report lays out some of the information and comments that the committee has gathered and heard during the first half of its study, offers perspectives on the current state of data science education, and poses some questions that may shape the way data science education evolves in the future. The study will conclude in early 2018 with a final report that lays out a vision for future data science education.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309454476 Total Pages :115 pages Book Rating :4.3/5 (94 download)
Book Synopsis Refining the Concept of Scientific Inference When Working with Big Data by : National Academies of Sciences, Engineering, and Medicine
Download or read book Refining the Concept of Scientific Inference When Working with Big Data written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-02-24 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309486165 Total Pages :257 pages Book Rating :4.3/5 (94 download)
Book Synopsis Reproducibility and Replicability in Science by : National Academies of Sciences, Engineering, and Medicine
Download or read book Reproducibility and Replicability in Science written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-10-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309440068 Total Pages :259 pages Book Rating :4.3/5 (94 download)
Book Synopsis Building America's Skilled Technical Workforce by : National Academies of Sciences, Engineering, and Medicine
Download or read book Building America's Skilled Technical Workforce written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-06-04 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Skilled technical occupationsâ€"defined as occupations that require a high level of knowledge in a technical domain but do not require a bachelor's degree for entryâ€"are a key component of the U.S. economy. In response to globalization and advances in science and technology, American firms are demanding workers with greater proficiency in literacy and numeracy, as well as strong interpersonal, technical, and problem-solving skills. However, employer surveys and industry and government reports have raised concerns that the nation may not have an adequate supply of skilled technical workers to achieve its competitiveness and economic growth objectives. In response to the broader need for policy information and advice, Building America's Skilled Technical Workforce examines the coverage, effectiveness, flexibility, and coordination of the policies and various programs that prepare Americans for skilled technical jobs. This report provides action-oriented recommendations for improving the American system of technical education, training, and certification.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309392020 Total Pages :133 pages Book Rating :4.3/5 (93 download)
Book Synopsis Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results by : National Academies of Sciences, Engineering, and Medicine
Download or read book Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-03-29 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questions about the reproducibility of scientific research have been raised in numerous settings and have gained visibility through several high-profile journal and popular press articles. Quantitative issues contributing to reproducibility challenges have been considered (including improper data measurement and analysis, inadequate statistical expertise, and incomplete data, among others), but there is no clear consensus on how best to approach or to minimize these problems. A lack of reproducibility of scientific results has created some distrust in scientific findings among the general public, scientists, funding agencies, and industries. While studies fail for a variety of reasons, many factors contribute to the lack of perfect reproducibility, including insufficient training in experimental design, misaligned incentives for publication and the implications for university tenure, intentional manipulation, poor data management and analysis, and inadequate instances of statistical inference. The workshop summarized in this report was designed not to address the social and experimental challenges but instead to focus on the latter issues of improper data management and analysis, inadequate statistical expertise, incomplete data, and difficulties applying sound statistic inference to the available data. Many efforts have emerged over recent years to draw attention to and improve reproducibility of scientific work. This report uniquely focuses on the statistical perspective of three issues: the extent of reproducibility, the causes of reproducibility failures, and the potential remedies for these failures.
