Title:
Scientists who express different views on Covid-19 should be heard, not demonized
Authors:
Vinay Prasad & Jeffrey S. Flier
Published:
STAT, 27 April 2020
From the opinion piece:
"When major decisions must be made amid high scientific uncertainty, as is the case with Covid-19, we can’t afford to silence or demonize professional colleagues with heterodox views. Even worse, we can’t allow questions of science, medicine, and public health to become captives of tribalized politics. Today, more than ever, we need vigorous academic debate."
To read this article:
https://www.statnews.com/2020/04/27/hear-scientists-different-views-covid-19-dont-attack-them/
Showing posts with label Hypothesis. Show all posts
Showing posts with label Hypothesis. Show all posts
Wednesday, April 29, 2020
Monday, August 5, 2019
Short article: Amplifying Annotation Crowd Layers
Title:
Amplifying Annotation Crowd Layers
Authors:
Remi Kalir and Francisco Perez
Published: Remi Kalir, 17 June 2019
The authors discussed the new look, features and collaborative opportunity of CROWDLAAERS, "a dashboard that captures open web annotation data from Hypothesis and reports learning analytics for use by learners, educators, and researchers."
To read this short article:
http://remikalir.com/projects/amplifying-annotation-crowd-layers/
Amplifying Annotation Crowd Layers
Authors:
Remi Kalir and Francisco Perez
Published: Remi Kalir, 17 June 2019
The authors discussed the new look, features and collaborative opportunity of CROWDLAAERS, "a dashboard that captures open web annotation data from Hypothesis and reports learning analytics for use by learners, educators, and researchers."
To read this short article:
http://remikalir.com/projects/amplifying-annotation-crowd-layers/
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