Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Mai 2018
Genre:	EDV / Informatik
	Applications of Graph Theory and Complex Networks / Applied mathematics / B / Complex analysis, complex variables / Complex systems / computer science / Data Mining / Data Mining and Knowledge Discovery / Ethics / Ethics & moral philosophy / Expert systems / knowledge-based systems / Graph Theory / Mathematical physics / Moral Philosophy and Applied Ethics / Physics / System Theory
ISBN:	9783319803517
EAN-Code:	9783319803517
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	Computational Social Sciences
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	3168 gr
Seiten:	192
Illustration:	X, 192 p. 14 illus. in color., farbige Illustrationen
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data. The need to cultivate and enlist the public's trust in the abilities of particular scientists and scientific institutions constitutes one of this book's major themes. The advent of the Internet, the mass digitization of research information, and social media brought about, among many other things, the ability to harvest - sometimes implicitly - a wealth of human genomic, biological, behavioral, economic, political, and social data for the purposes of scientific research as well as commerce, government affairs, and social interaction. What type of ethical dilemmas did such changes generate? How should scientists collect, manipulate, and disseminate this information? The effects of this revolution and its ethical implications are wide-ranging. This book includes the opinions of myriad investigators, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in action, the book offers a range of observations, lessons learned, reasoning tools, and suggestions for institutional practice to promote responsible big data research on human affairs. It caters to a broad audience of educators, researchers, and practitioners. Educators can use the volume in courses related to big data handling and processing. Researchers can use it for designing new methods of collecting, processing, and disseminating big data, whether in raw form or as analysis results. Lastly, practitioners can use it to steer future tools or procedures for handling big data. As this topic represents an area of great interest that still remains largely undeveloped, this book is sure to attract significant interest by filling an obvious gap in currently available literature.