Data Journeys in the Sciences
Data Journeys in the Sciences

Author: Sabina Leonelli

Publisher: Springer Nature

Published: 2020-06-29

Total Pages: 411

ISBN-13: 3030371778

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This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.

Data Journeys in the Sciences
Data Journeys in the Sciences

Author: Sabina Leonelli

Publisher: Springer

Published: 2020-07-20

Total Pages: 406

ISBN-13: 9783030371760

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This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.

Data-Centric Biology
Data-Centric Biology

Author: Sabina Leonelli

Publisher: University of Chicago Press

Published: 2016-11-18

Total Pages: 282

ISBN-13: 022641650X

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In recent decades, there has been a major shift in the way researchers process and understand scientific data. Digital access to data has revolutionized ways of doing science in the biological and biomedical fields, leading to a data-intensive approach to research that uses innovative methods to produce, store, distribute, and interpret huge amounts of data. In Data-Centric Biology, Sabina Leonelli probes the implications of these advancements and confronts the questions they pose. Are we witnessing the rise of an entirely new scientific epistemology? If so, how does that alter the way we study and understand life—including ourselves? Leonelli is the first scholar to use a study of contemporary data-intensive science to provide a philosophical analysis of the epistemology of data. In analyzing the rise, internal dynamics, and potential impact of data-centric biology, she draws on scholarship across diverse fields of science and the humanities—as well as her own original empirical material—to pinpoint the conditions under which digitally available data can further our understanding of life. Bridging the divide between historians, sociologists, and philosophers of science, Data-Centric Biology offers a nuanced account of an issue that is of fundamental importance to our understanding of contemporary scientific practices.

Journeys in Science
Journeys in Science

Author: Fanuel Muindi

Publisher: Academic Press

Published: 2017-07-26

Total Pages: 132

ISBN-13: 0128130911

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Journeys in Science: Inspiring the Next Generation examines the STEM education pipeline and discusses important strategies on working through the various challenges that STEM trainees face. The book takes a look at career possibilities for scientists in the broadest sense, and is not solely limited to academia. Coverage includes individual and local concepts, as well as a discussion on how STEM education impacts trainee communities across the globe. The book also focuses on diversity in STEM and offers valuable insights based on the authors’ own experiences. Offers advice for those in the STEM pipeline at all stages of training Contains global perspectives on trainees in STEM Includes personal vignettes, also utilizing primary research literature and data

Theater as Data
Theater as Data

Author: Miguel Escobar Varela

Publisher: University of Michigan Press

Published: 2021-08-02

Total Pages: 231

ISBN-13: 0472128639

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In Theater as Data, Miguel Escobar Varela explores the use of computational methods and digital data in theater research. He considers the implications of these new approaches, and explains the roles that statistics and visualizations play. Reflecting on recent debates in the humanities, the author suggests that there are two ways of using data, both of which have a place in theater research. Data-driven methods are closer to the pursuit of verifiable results common in the sciences; and data-assisted methods are closer to the interpretive traditions of the humanities. The book surveys four major areas within theater scholarship: texts (not only playscripts but also theater reviews and program booklets); relationships (both the links between fictional characters and the collaborative networks of artists and producers); motion (the movement of performers and objects on stage); and locations (the coordinates of performance events, venues, and touring circuits). Theater as Data examines important contributions to theater studies from similar computational research, including in classical French drama, collaboration networks in Australian theater, contemporary Portuguese choreography, and global productions of Ibsen. This overview is complemented by short descriptions of the author’s own work in the computational analysis of theater practices in Singapore and Indonesia. The author ends by considering the future of computational theater research, underlining the importance of open data and digital sustainability practices, and encouraging readers to consider the benefits of learning to code. A web companion offers illustrative data, programming tutorials, and videos.

Journeys to Data Mining
Journeys to Data Mining

Author: Mohamed Medhat Gaber

Publisher: Springer Science & Business Media

Published: 2012-07-20

Total Pages: 241

ISBN-13: 3642280471

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Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced core results for applications like business intelligence, spatio-temporal data analysis, bioinformatics, and stream data processing. The fifteen contributors to this volume are successful and well-known data mining scientists and professionals. Although by no means an exhaustive list, all of them have helped the field to gain the reputation and importance it enjoys today, through the many valuable contributions they have made. Mohamed Medhat Gaber has asked them (and many others) to write down their journeys through the data mining field, trying to answer the following questions: 1. What are your motives for conducting research in the data mining field? 2. Describe the milestones of your research in this field. 3. What are your notable success stories? 4. How did you learn from your failures? 5. Have you encountered unexpected results? 6. What are the current research issues and challenges in your area? 7. Describe your research tools and techniques. 8. How would you advise a young researcher to make an impact? 9. What do you predict for the next two years in your area? 10. What are your expectations in the long term? In order to maintain the informal character of their contributions, they were given complete freedom as to how to organize their answers. This narrative presentation style provides PhD students and novices who are eager to find their way to successful research in data mining with valuable insights into career planning. In addition, everyone else interested in the history of computer science may be surprised about the stunning successes and possible failures computer science careers (still) have to offer.

Data and Society
Data and Society

Author: Anne Beaulieu

Publisher: SAGE

Published: 2021-10-27

Total Pages: 225

ISBN-13: 1529765129

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Data and Society: A Critical Introduction investigates the growing importance of data as a technological, social, economic and scientific resource. It explains how data practices have come to underpin all aspects of human life and explores what this means for those directly involved in handling data. The book fosters informed debate over the role of data in contemporary society explains the significance of data as evidence beyond the "Big Data" hype spans the technical, sociological, philosophical and ethical dimensions of data provides guidance on how to use data responsibly includes data stories that provide concrete cases and discussion questions. Grounded in examples spanning genetics, sport and digital innovation, this book fosters insight into the deep interrelations between technical, social and ethical aspects of data work.

Scientific Journeys
Scientific Journeys

Author: H. Frederick Dylla

Publisher: Springer Nature

Published: 2020-09-26

Total Pages: 215

ISBN-13: 3030558002

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This collection of essays traces a scientific journey bookmarked by remarkable mentors and milestones of science. It provides fascinating reading for everyone interested in the history, public appreciation, and value of science, as well as giving first-hand accounts of many key events and prominent figures. The author was one of the “sputnik kids” growing up in the US at the start of the space age. He built a working laser just two years after they were first invented, an experience that convinced him to become a physicist. During his 50-year career in physics, many personalities and notable events in science and technology helped to form his view of how science contributes to the modern world​, including his conviction that the impact of science can be most effective when introduced within the context of the humanities - especially history, literature and the arts. From the Foreword by former U.S. Congressman, Rush D. Holt: In this volume, we have the wide-ranging thoughts and observations of Fred Dylla, an accomplished physicist with an engineer’s fascination for gadgets, a historian’s long perspective, an artist’s aesthetic eye, and a teacher’s passion for sharing ideas. Throughout his varied career [...] his curiosity has been his foremost characteristic and his ability to see the connection between apparently disparate things his greatest skill. [...] Here he examines the roots and growth of innovation in examples from Bell Laboratories, Edison Electric Light Company, and cubist painter Georges Braque. He considers the essential place of publishing in science, that epochal intellectual technique for learning how the world works. He shows the human enrichment and practical benefits that derive from wise investments in scientific research, as well as the waste resulting from a failure to embrace appropriate technologies.

Data Science Made Simple: A Beginner's Journey for All
Data Science Made Simple: A Beginner's Journey for All

Author: M.B. Chatfield

Publisher: M.B, Chatfield

Published:

Total Pages: 106

ISBN-13:

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Unleash the power of data science to make informed decisions, solve problems, and innovate. Data science is a rapidly growing field that is changing the way we live, work, and learn. It is the process of extracting knowledge and insights from data, and it can be used to solve a wide range of problems. Data Science Made Simple is the perfect resource for anyone who wants to learn the basics of data science. This comprehensive guide covers everything you need to know, from the basics of data science to advanced topics such as machine learning and artificial intelligence. With clear explanations, this book will help you: Understand the basics of data science Choose the right data science tools and techniques for your task Collect, clean, and analyze data Build data science models Communicate your data science findings Whether you're a student, a business professional, or a data enthusiast, Data Science Made Simple is the essential resource for learning about data science. Here are some of the key topics covered in the book: Introduction to data science Data collection Data cleaning Data analysis Data modeling Data communication With Data Science Made Simple, you'll be well on your way to becoming a data science expert. If you are a beginner who wants to learn about data science, Data Science Made Simple is a great place to start.

Our Journey With Data Science (Series I, Part A)
Our Journey With Data Science (Series I, Part A)

Author: N a Mahalakshmi Srinivasan

Publisher: Independently Published

Published: 2020-06-10

Total Pages: 96

ISBN-13:

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'Our Journey With Data Science' is a book series for those interested in the field of Data Science. Written in simplest language, one would get an idea of the ingredients of Data Science recipe. Having said this, Data Science is a vast subject on its own and requires expertise to use this science at the optimal best.Data Science is emerging to be an integral part of our lives. Knowingly or unknowingly, we are leveraging the benefits of data science. With advancement in technologies and this being an era of big data, data science has become an even more prominent figure in our day-to-day lives. I've used the tools of data science and have seen the kind of leads one could get with it. With the demand for Data Scientists all set to increase, I wished to pen down what I've learnt in data science. I would like you to join this journey to know more about data science.Organization Of This Book: "Our Journey With Data Science" is a topic to be covered in a series of books, with Series I (Part A and Part B) being introductory for those who wish to introduce themselves to this field. It also has some important fundamentals covered about the components of data science that enable us in reaching the destination of decision making. This book - Part A (Introductory) of Series I book shall cover about: 1.Data science and Industries, 2.An introduction to R walking through basic concepts, following which the reader could explore the tool on their own, 3.A case study which highlights the importance of data science and that it is far more than just querying a database,4.Data Warehouse.The Series I - Part B (Introductory) shall cover topics on Data Mining, Statistics, Machine Learning that shall complete the journey of Data Science to enable decision making. Data Science is a core component of BI (Business Intelligence). Series I (Part A and Part B) are introductory. The Series II shall cover each of the Series I topic in detail. Data Science is a vast topic and Series I is written with an aim for one to understand the set of components that constitute Data Science.