Logo

The Fourth Paradigm: Data-Intensive Scientific Discovery

Small book cover: The Fourth Paradigm: Data-Intensive Scientific Discovery

The Fourth Paradigm: Data-Intensive Scientific Discovery
by

Publisher: Microsoft Research
ISBN-13: 9780982544204
Number of pages: 287

Description:
Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

Home page url

Download or read it online for free here:
Download link
(6.3MB, PDF)

Similar books

Book cover: Science Literacy: Concepts, Contexts, and ConsequencesScience Literacy: Concepts, Contexts, and Consequences
by - National Academies Press
The book studies the role of science literacy in public support of science. It synthesizes the available research literature on science literacy, makes recommendations on the need to improve the understanding of scientific research in the US.
(4703 views)
Book cover: Science ClarifiedScience Clarified
- Advameg, Inc.
This science-related website presents a complete science encyclopedia online. From the table of contents: Science and Technology; Science of Everyday Things; Science in Dispute; Landforms and Other Geologic Features; and more.
(11594 views)
Book cover: What is and what will be: Integrating spirituality and scienceWhat is and what will be: Integrating spirituality and science
by - Mountain Math Software
A book about mathematics, physics and spirituality. Spiritual instincts have evolved to connect us with the creative aspects of biological evolution which are crucial to long term survival. The book integrates spirituality and science.
(10908 views)
Book cover: The Experimental Side of ModelingThe Experimental Side of Modeling
by - University of Minnesota Press
This volume offers a multifaceted view on experiments as designed in interaction with the modeling process. Highlighting the mediating role of models and the model-dependence of measurement, it proposes a conceptual innovation in scientific modeling.
(2281 views)