Foundation for Analytical Science and Technology in Africa and its Role in the Preservation of Endangered Species

2009 ◽  
pp. 126-130
Author(s):  
William W. Agresti

Discovery informatics is an emerging methodology that brings together several threads of research and practice aimed at making sense out of massive data sources. It is defined as “the study and practice of employing the full spectrum of computing and analytical science and technology to the singular pursuit of discovering new information by identifying and validating patterns in data” (Agresti, 2003).


2020 ◽  
Vol 25 (2) ◽  
pp. 263-286
Author(s):  
Elizabeth Hennessy

Abstract This article tells the stories behind the names of two species of Galápagos giant tortoise, Chelonoidis porteri and Chelonoidis donfaustoi, both of which inhabit Santa Cruz Island and which, until 2015, were considered one species, C. porteri. Taking a multispecies approach, it demonstrates how changing species designations reflect coevolving histories of science and conservation. Walter Rothschild assigned the name Testudo porteri in 1903 at a time when naturalists increasingly were concerned about the scarcity of animals they came to see as both endemic and endangered. Rothschild’s epithet honored US naval captain David Porter, the first person to write about differences among the Galápagos tortoises in the 1810s, which he noticed because his crews gathered tons of the animals as food stores for Pacific voyages. For Rothschild, saving species meant preserving them in his museum for the benefit of science before they were eaten. A century later, some of the C. porteri animals were renamed C. donfaustoi based on genetic studies of evolution and very different approaches to saving endangered species. This case study shows how nature, science, and conservation have coproduced species differently at different historical moments. By examining the changing practices through which species are enacted, this article outlines a framework by which environmental historians might productively engage with histories of science and science and technology studies to query just what species are, how they change, and with what consequences.


Author(s):  
William W. Agresti

It is routine to hear and read about the information explosion, how we are all overwhelmed with data and information. Is it progress when our search tools report that our query resulted in 300,000 hits? Or, are we still left to wonder where is the information that we really wanted? How far down the list must we go to find it? Discovery informatics is a distinctly 21st century emerging methodology that brings together several threads of research and practice aimed at making sense out of massive data sources. It is defined as “the study and practice of employing the full spectrum of computing and analytical science and technology to the singular pursuit of discovering new information by identifying and validating patterns in data” (Agresti, 2003).


1962 ◽  
Vol 14 ◽  
pp. 441-444 ◽  
Author(s):  
J. E. Geake ◽  
H. Lipson ◽  
M. D. Lumb

Work has recently begun in the Physics Department of the Manchester College of Science and Technology on an attempt to simulate lunar luminescence in the laboratory. This programme is running parallel with that of our colleagues in the Manchester University Astronomy Department, who are making observations of the luminescent spectrum of the Moon itself. Our instruments are as yet only partly completed, but we will describe briefly what they are to consist of, in the hope that we may benefit from the comments of others in the same field, and arrange to co-ordinate our work with theirs.


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