CRISPR/Cas9: A New Revolutionary Science in Agricultural and Horticulture

2020 ◽  
pp. 195-205
Author(s):  
Quazi Mohammad Imranul Haq ◽  
Touseef Hussain
Keyword(s):  
Revolutionary Science

Machine learning for rediscovering revolutionary ideas of the past

2021 ◽  
pp. 105971232098304
Author(s):  
R Alexander Bentley ◽  
Joshua Borycz ◽  
Simon Carrignon ◽  
Damian J Ruck ◽  
Michael J O’Brien
Keyword(s):  
Language Processing ◽  
Scientific Progress ◽  
Phylogenetic Inference ◽  
The Past ◽  
New Methods ◽  
Inherent Nature ◽  
Social Learning Processes ◽  
High Level ◽  
Scientific Ideas ◽  
Revolutionary Science

The explosion of online knowledge has made knowledge, paradoxically, difficult to find. A web or journal search might retrieve thousands of articles, ranked in a manner that is biased by, for example, popularity or eigenvalue centrality rather than by informed relevance to the complex query. With hundreds of thousands of articles published each year, the dense, tangled thicket of knowledge grows even more entwined. Although natural language processing and new methods of generating knowledge graphs can extract increasingly high-level interpretations from research articles, the results are inevitably biased toward recent, popular, and/or prestigious sources. This is a result of the inherent nature of human social-learning processes. To preserve and even rediscover lost scientific ideas, we employ the theory that scientific progress is punctuated by means of inspired, revolutionary ideas at the origin of new paradigms. Using a brief case example, we suggest how phylogenetic inference might be used to rediscover potentially useful lost discoveries, as a way in which machines could help drive revolutionary science.

Kuhn and His Critics on Normal and Revolutionary Science

Diogenes ◽  
1991 ◽  
Vol 39 (154) ◽  
pp. 39-45
Author(s):  
Joseph LaLumia
Keyword(s):  
Revolutionary Science

Vincent Ostrom’s revolutionary science of association

Public Choice ◽  
2015 ◽  
Vol 163 (1-2) ◽  
pp. 67-83 ◽  
Author(s):  
Michael A. Fotos
Keyword(s):  
Revolutionary Science

scholarly journals El significado de las rocas: El debate de Kuhn y Taylor sobre la base hermenéutica de la ciencia

2012 ◽  
Vol 18 (2) ◽  
Author(s):  
Leonardo Díaz
Keyword(s):  
Charles Taylor ◽  
Natural Sciences ◽  
Thomas Kuhn ◽  
Human Sciences ◽  
Normal Science ◽  
Scientific Revolutions ◽  
Pure Data ◽  
Revolutionary Science ◽  
La Salle University

RESUMENA finales de los años 80s, Thomas Kuhn y Charles Taylor fueron invitados a un debate en La Salle University. Taylor defendió que las ciencias naturales no son ciencias hermenéuticas, pues se fundamentan en datos puros, carentes de significado. Kuhn rechazó la tesis de la existencia de datos puros, sosteniendo que las ciencias naturales operan con significados y poseen una base hermenéutica. En la postura de Kuhn pueden apreciarse ambivalencias como resultado de sus viejos compromisos teóricos con el proyecto explicativo formulado en La estructura de las revoluciones científicas y como mostraré, vinculado a la existencia de una tensión entre dos perspectivas filosóficas sobre la ciencia.PALABRAS CLAVEHERMENÉUTICA, CIENCIA NORMAL, CIENCIA REVOLUCIONARIA, TENSIÓN, CIENCIAS HUMANASABSTRACTBy the end of the 1980s, Thomas Kuhn and Charles Taylor participated in a debate at La Salle University. Taylor defended that natural sciences are not hermeneutical sciences, since they are based on the pure, meaningless data. Kuhn rejected the thesis of the existence of pure data, arguing that natural sciences work with meanings and have a hermeneutic foundation. Kuhn’s position presents ambivalences as a result of his former theoretical commitments with the explicative project formulated in The Structure of the Scientific Revolutions and as I will show, linked to the existence of a tension between two philosophical perspectives on science.KEYWORDSHERMENEUTICS, NORMAL SCIENCE, REVOLUTIONARY SCIENCE, TENSION, HUMAN SCIENCES

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