Who Should Pay for Interdependent Risk? Policy Implications for Security Interdependence Among Airports

We study interdependent risks in security, and shed light on the economic and policy implications of increasing security interdependence in presence of reactive attackers. We investigate the impact of potential public policy arrangements on the security of a group of interdependent organizations, namely, airports. Focusing on security expenditures and costs to society, as assessed by a social planner, to individual airports and to attackers, we first develop a game-theoretic framework, and derive explicit Nash equilibrium and socially optimal solutions in the airports network. We then conduct numerical experiments mirroring real-world cyber scenarios, to assess how a change in interdependence impact the airports' security expenditures, the overall expected costs to society, and the fairness of security financing. Our study provides insights on the economic and policy implications for the United States, Europe, and Asia.     

Towards Bayesian image analysis

Many of the tasks encountered in image processing can be considered as problems in statistical inference. In particular, they fit naturally into a subjectivist Bayesis framework. In this paper, we describe the Bayesian approach to image analysis. Numerical examples are not included but references are given. It is argued that the Bayesian approach, still in its infancy, has considerable potential for future development.     

Immigrants and alien workers

VII. Conclusion The number of immigrants now coming to the United States is proportionally only a fraction of the number that came in earlier years, and there is nothing in those numbers to suggest a difficult absorption burden. Immigrants, both legal and illegal, more than pay for the services they use with the taxes they pay, leaving a considerable net surplus that benefits American citizens. Immigrants raise productivity and do not cause an observable amount of unemployment of citizens. Admitting far more immigrants into the country than the law now allows would have positive effects on the incomes of citizens, and would enhance the continuing vitality of the United States.     

The analysis of incomplete data using stochastic covariates

In the development of many diseases there are often associated random variables which continuously reflect the progress of a subject towards the final expression of the disease (failure). At any given time these processes, which we call stochastic covariates, may provide information about the current hazard and the remaining time to failure. Likewise, in situations when the specific times of key prior events are not known, such as the time of onset of an occult tumour or the time of infection with HIV-1, it may be possible to identify a stochastic covariate which reveals, indirectly, when the event of interest occurred. The analysis of carcinogenicity trials which involve occult tumours is usually based on the time of death or sacrifice and an indicator of tumour presence for each animal in the experiment. However, the size of an occult tumour observed at the endpoint represents data concerning tumour development which may convey additional information concerning both the tumour incidence rate and the rate of death to which tumour-bearing animals are subject. We develop a stochastic model for tumour growth and suggest different ways in which the effect of this growth on the hazard of failure might be modelled. Using a combined model for tumour growth and additive competing risks of death, we show that if this tumour size information is used, assumptions concerning tumour lethality, the context of observation or multiple sacrifice times are no longer necessary in order to estimate the tumour incidence rate. Parametric estimation based on the method of maximum likelihood is outlined and is applied to simulated data from the combined model. The results of this limited study confirm that use of the stochastic covariate tumour size results in more precise estimation of the incidence rate for occult tumours.     

The Road Less Traveled: Emotions and Morality in Public Controversies: A Response to Brian Lowe

Qualitative Sociology -     

Interpersonal dependency of preferences

Standard decision theoretic models disregard the phenomenon of interpersonal dependency of preferences. In this paper it is argued that interpersonal dependency of preferences is a serious challenge for standard utility theory. First we sketch the more philosophical aspects of the problem and then, using a simple, formal model for the two-person case, we show that interpersonal dependency of preferences generally results in indeterminacy of preferences (resp. of subjective utility).     

Training with o (observing) and T (treatment) teams in live supervision: reflections in the looking glass*

Working with a treatment and observing team at the same time, behind the oneway mirror, offers a variety of ways to: (a) generate multiple realities; (b) work with two different models of family therapy simultaneously; and (c) provide feedback on the teams' own roles, rules and group process. The process that 6 trainees and two supervisors used with T and O teams to examine their own coevolution as a therapeutic system using the Milan model of family therapy and Ericksonian hypnotherapy is described. The article concludes with a discussion of the advantages and pitfalls of this type of dual supervision.     

Health education evaluation and beliefs and practices in rural Tamil Nadu

This paper reports the findings of 2 studies in North Arcot District of Tamil Nadu, one of which was an evaluation of health education programs. A wide range of information is made available on the local Tamil names for allopathic diseases, their etiology, beliefs related to preventive and curative practices, significance and medical consequences of recourse to doctors and practitioners of indigenous systems of medicine. The attitude survey covers a variety of topics about which not much is known -- immunization, sanitation, environment, antenatal care and allopathic medicine. The data suggest that allopathic treatment is preferred for most diseases, although traditional or spiritual methods continue to be used for certain diseases, many of which are believed to be the cause of infant and child mortality.