Carolyn Merchant. Autonomous nature: Problems of prediction and control from ancient times to the scientific revolution. New York, NY: Routledge, 2016. 196 pp. $43.95 (paper). ISBN 9781138931008.

2018 ◽  
Vol 54 (1) ◽  
pp. 70-71
Author(s):  
Daniel Burton-Rose
Keyword(s):  
New York ◽  
Scientific Revolution ◽  
Prediction And Control ◽  
Ancient Times ◽  
And Control

Codes politiques

1975 ◽  
Vol 14 (3) ◽  
pp. 137-160
Author(s):  
Jean Padioleau
Keyword(s):  
New York ◽  
Human Subjects ◽  
Human Organism ◽  
Prediction And Control ◽  
Summary Statement ◽  
And Control

"It is customary to say that the scientist's ultimate aim is to predict and control. This is a summary statement that psycholoigsts frequently like to quote in characterizing their own aspirations. Yet curiously enough, psychologists rarely credit the human subjects in their experiments with having similar aspirations. It is as though the psychologist were saying to himself, 'I, being a psychologist, and therefore a scientist, am performing this experiment in order to improve the prediction and control of certain human phenomena; but my subject, being merely a human organism, is obviously propelled by inexorable drives welling up within him, or else he is in gluttonous pursuit of sustenance and shelter.' " G.A. Kelly, A theory of personality, New York, W.W. Norton, 1963, p. 5.

An insight into Case Management and Challenges in Veteran Suicide Prevention

2020 ◽  
pp. 14-25
Author(s):  
Tamara Green
Keyword(s):  
Case Management ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Digital Transformation ◽  
Prevention Science ◽  
Historical Records ◽  
Military Members ◽  
Prediction And Control ◽  
And Control ◽  
Insight Into

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.

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