What We Are Reading: Drive by Daniel H. Pink

Authors: Ariel Rokem & Tal Yarkoni 

As neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unprecedented scales.

Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice.

This book offers neuroimaging researchers an introduction to data science, presenting methods, tools, and approaches that facilitate automated, reproducible, and scalable analysis and understanding of data.

Authors: David Nelson & Grace H. Zhang 

Renormalization group ideas have had a major impact on condensed matter physics for more than a half century.

This book develops the theory and illustrates the broad applicability of the renormalization group to major problems in condensed matter physics.

Based on course materials developed and class-tested by the authors at Harvard University, the book will be especially useful for students, as well as researchers.