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Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation
Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This book looks at interactions between UK public sector officials and researchers/innovators to shed light on barriers to data access and use.It asks: what are the frameworks that govern access to public sector big datasets for researchers and innovators?How are these frameworks applied in practice? What are the governance solutions for policy makers interested in harnessing the untapped potential of public sector big data to improve their policies and create public benefit?Public sector data is a valuable resource that can help researchers and innovators create knowledge and solutions that benefit society.As public bodies collect increasingly more data about us, UK policy makers try to maximise the use of public sector big data for the benefit of the public.But accessing this data is not easy. There are many legal, technical, and ethical barriers that prevent the use of public sector data for research and innovation.This book is for researchers and innovators who want to understand and overcome the barriers to accessing UK public sector data.It is also for policy makers who are interested in how public sector data can be used to improve decision-making, scrutinise government work, and promote the public interest.
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I Love Science : A Journal for Self-Discovery and Big Ideas
A Journal for SelfDiscovery and Big Ideas. A guided journal for young women and girls based on Rachel Ignotofskys inspiring illustrated book Women in Science 50 Fearless Pioneers Who Changed the World.
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The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society.It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data.The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems.The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
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Pioneering Progress : American Science, Technology, and Innovation Policy
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Handbook of Research on Science Teacher Education
This groundbreaking handbook offers a contemporary and thorough review of research relating directly to the preparation, induction, and career long professional learning of K–12 science teachers. Through critical and concise chapters, this volume provides essential insights into science teacher education that range from their learning as individuals to the programs that cultivate their knowledge and practices.Each chapter is a current review of research that depicts the area, and then points to empirically based conclusions or suggestions for science teacher educators or educational researchers.Issues associated with equity are embedded within each chapter.Drawing on the work of over one hundred contributors from across the globe, this handbook has 35 chapters that cover established, emergent, diverse, and pioneering areas of research, including: Research methods and methodologies in science teacher education, including discussions of the purpose of science teacher education research and equitable perspectives; Formal and informal teacher education programs that span from early childhood educators to the complexity of preparation, to the role of informal settings such as museums; Continuous professional learning of science teachers that supports building cultural responsiveness and teacher leadership; Core topics in science teacher education that focus on teacher knowledge, educative curricula, and working with all students; and Emerging areas in science teacher education such as STEM education, global education, and identity development. This comprehensive, in-depth text will be central to the work of science teacher educators, researchers in the field of science education, and all those who work closely with science teachers.
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The Big Book of 100 STEM Activities : Science Technology Engineering Maths
The Big Book of 100 STEM Activities is a bumper book of boredom-busting ideas for fun and educational things to do for curious kids and their grown-ups. Developing an awareness of STEM themes from an early age is hugely important and encourages kids to be curious about their world and want to engage with it.This jam-packed collection of fun and simple activities introduces ideas and themes based on science, engineering, technology and maths in an accessible and stimulating way.You can learn about kinetic and potential energy while building an awesome marble run, why your breakfast cereal is magnetic, how to use gravity to make art and even how to grow yucky mould or make stinky slime in the name of science. Using crafts, play and simple experiments, these activities are presented in an easy-to-follow format and make use of everyday materials that you’ll find around the home.Each activity provides a simple explanation of how it works and what the takeaway key STEM points are.Fill those rainy days and school-holiday downtime with things to do that are so much fun, the kids won’t even realise that they are learning at the same time!From the authors of lockdown bestseller The Big Book of 100 Little Activities (over 75,000 copies sold)100 boredom-busting STEM activities designed to make science fun and engaging for all childrenExplanation of the STEM principle behind each activityNo special equipment or materials neededAimed at children aged 7–11 years old
Price: 14.99 £ | Shipping*: 3.99 £ -
Big Size Building Blocks DIY Science Technology Engineering Machinery Assembly Accessories
Big Size Building Blocks DIY Science Technology Engineering Machinery Assembly Accessories
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Big Data for Qualitative Research
Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges.The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments.Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis.It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers.This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research.Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.
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