Critic at Large

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image: The Global Science Era

The Global Science Era

By | May 1, 2016

As international collaboration becomes increasingly common, researchers must work to limit their own biases and let cultural diversity enhance their work.

2 Comments

image: Scientific Literacy Redefined

Scientific Literacy Redefined

By | February 1, 2016

Researchers could become better at engaging in public discourse by more fully considering the social and cultural contexts of their work.

9 Comments

image: Think Before You Fire

Think Before You Fire

By | May 1, 2015

Industry layoffs may save a few dollars, at the cost of losing the collective brainpower of thousands of scientists.

4 Comments

image: Science Gone Social

Science Gone Social

By , , , , and | October 1, 2014

Scientists are beginning to embrace social media as a viable means of communicating with public audiences.

0 Comments

image: Going Beyond the Lab

Going Beyond the Lab

By | July 1, 2014

Scientists who study the biological roots of sexual orientation should continue working with educators, policy-makers, and the public to put their data to good use.

10 Comments

image: To Study Unfettered

To Study Unfettered

By | July 1, 2014

Researching the causes of sexual orientation should be guided by scientific, not social, concerns.

5 Comments

image: Defending Against Plagiarism

Defending Against Plagiarism

By | June 1, 2013

Publishers need to be proactive about detecting and deterring copied text.

5 Comments

image: Misconduct Around the Globe

Misconduct Around the Globe

By | June 1, 2013

Research misconduct is not limited to the developed world, but few countries anywhere are responding adequately.

3 Comments

image: Researchers, Hire Hackers

Researchers, Hire Hackers

By | May 1, 2013

Clinical researchers need programming support to streamline their work, minimize error in the data, and find new trends that can point to better treatments.

0 Comments

image: Variety Is the Spice of Life

Variety Is the Spice of Life

By | February 1, 2013

True understanding of the complexity of biological systems demands an assortment of model systems.

2 Comments

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