SECOND ORDER LOGICAL SYSTEM FOR RISK CLASSIFICATION IN A NEWLY DEVELOPED COUNTRY

Author(s):  
THOMAS WHALEN ◽  
GWANGYONG GIM

Modern financial institutions require sophisticated risk assessment tools to integrate human expertise and historical data in a market that is changing and broadening qualitatively, quantitatively, and geographically. The need is especially acute in newly developed countries where expertise and data are scarce, and knowledge bases and assumptions imported from the West may be of limited applicability. Second order logical models can be a valuable tool in such situations. They integrate the robustness of neural or statistical modeling of data, the perspicuity of logical rule induction, and the experience and understanding of skilled human experts. The approach is illustrated in the context of risk assessment in the Korean surety insurance industry.

Author(s):  
Hazel Kemshall

Risk is a pervasive feature of contemporary life, and has become a key feature of penal policy, systems of punishment, and criminal justice services across a number of the Anglophone jurisdictions. Risk as an approach to calculating the probability of “danger” or “hazard” has its roots in the mercantile trade of the 16th century, growing in significance over the intervening centuries until it pervades both the social and economic spheres of everyday life. Actuarialism, that is the method of statistically calculating and aggregating risk data, has similar roots, steeped in the probability calculations of the insurance industry with 20th-century extension into the arenas of social welfare and penality. Within criminal justice one of the first risk assessment tools was the parole predictor designed by Burgess in 1928. Since then we have seen a burgeoning of risk assessment tools and actuarial risk practices across the penal realm, although the extent to which penality is totally risk based is disputed. Claims for a New Penology centered on risk have been much debated, and empirical evidence would tend toward more cautious claims for such a significant paradigm shift. Prevention and responsibilization are often seen as core themes within risk-focused penality. Risk assessment is used not only to assess and predict future offending of current criminals, but also to enable early identification of future criminals, “high crime” areas, and those in need of early interventions. The ethics, accuracy, and moral justification for such preventive strategies have been extensively debated, with concerns expressed about negative and discriminatory profiling; net-widening; over targeting of minority groups especially for selective incarceration; and more recently criticisms of risk-based pre-emption or “pre-crime” targeting, particularly of ethnic minorities. Responsibilization refers to the techniques of actuarial practices used to make persons responsible for their own risk management, and for their own risk decisions throughout the life course. In respect of offenders this is best expressed through corrective programs focused on “right thinking” and re-moralizing offenders toward more desirable social ends. Those offenders who are “ripe for re-moralization” and who present a level of risk that can be managed within the community can avoid custody or extended sentencing. Those who are not, and who present the highest levels of risk, are justifiably selected for risk-based custodial sentences. Such decision-making not only requires high levels of predictive accuracy, but is also fraught with severe ethical challenges and moral choices, not least about the desired balance between risks, rights, and freedoms.


Author(s):  
Rikito Hisamatsu ◽  
Rikito Hisamatsu ◽  
Kei Horie ◽  
Kei Horie

Container yards tend to be located along waterfronts that are exposed to high risk of storm surges. However, risk assessment tools such as vulnerability functions and risk maps for containers have not been sufficiently developed. In addition, damage due to storm surges is expected to increase owing to global warming. This paper aims to assess storm surge impact due to global warming for containers located at three major bays in Japan. First, we developed vulnerability functions for containers against storm surges using an engineering approach. Second, we simulated storm surges at three major bays using the SuWAT model and taking global warming into account. Finally, we developed storm surge risk maps for containers based on current and future situations using the vulnerability function and simulated inundation depth. As a result, we revealed the impact of global warming on storm surge risks for containers quantitatively.


2012 ◽  
Vol 61 (4) ◽  
pp. 662-663 ◽  
Author(s):  
Ian M. Thompson ◽  
Donna P. Ankerst

2021 ◽  
pp. 103985622098403
Author(s):  
Marianne Wyder ◽  
Manaan Kar Ray ◽  
Samara Russell ◽  
Kieran Kinsella ◽  
David Crompton ◽  
...  

Introduction: Risk assessment tools are routinely used to identify patients at high risk. There is increasing evidence that these tools may not be sufficiently accurate to determine the risk of suicide of people, particularly those being treated in community mental health settings. Methods: An outcome analysis for case serials of people who died by suicide between January 2014 and December 2016 and had contact with a public mental health service within 31 days prior to their death. Results: Of the 68 people who had contact, 70.5% had a formal risk assessment. Seventy-five per cent were classified as low risk of suicide. None were identified as being at high risk. While individual risk factors were identified, these did not allow to differentiate between patients classified as low or medium. Discussion: Risk categorisation contributes little to patient safety. Given the dynamic nature of suicide risk, a risk assessment should focus on modifiable risk factors and safety planning rather than risk prediction. Conclusion: The prediction value of suicide risk assessment tools is limited. The risk classifications of high, medium or low could become the basis of denying necessary treatment to many and delivering unnecessary treatment to some and should not be used for care allocation.


2016 ◽  
pp. 65-68
Author(s):  
Oksana Mikitey

Stroke is an important medical and social problem, and stroke risk assessment tools have difficulty on the interaction of risk factors and the effects of certain risk factors with analysis by age, gender, race, because this information fully available to global risk assessment tools. In addition, these tools tend to be focused and usually do not include the entire range of possible factors contributing. The aim of the study was to conduct a comparison of brain vascular lesions pool with ischemic stroke (II) based predictive analysis and assessment of the main risk factors in patients with primary and recurrent ischemic stroke. Prognostically significant risk factors for recurrent ischemic stroke is not effective antihypertensive therapy, multiple stenoses any one pool vascular brain, duration of hypertension (AH) over 5 years and regular smoking patients (p<0.001). In the initial localization in the second vertebrobasilar recurrent stroke was significantly (p<0.05) more developed in the same pool in women than in men; and the localization of the primary carotid AI in the pool, re-developed stroke often unreliable in the same pool in women than in men.


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