Training Psychology Graduate Students to Prepare Psychological Affidavits for Political Asylum Seekers

ABSTRACT

The growing population of asylum seekers has created a political and social justice crisis in the United States. It is important that the psychological profession respond to this crisis. This paper describes a program that trains psychology graduate students to prepare psychological affidavits in support of the asylum seekers legal case. We describe how we began the program, its current structure, and the challenges and benefits of the program for both the instructors and the students. Our hope is that other mental health professionals will find our work helpful in setting up programs of their own.     

Dependence on Wrongdoing in the Consumption of Meat: A Kantian Analysis

Kant's ethics is used by some as a defence of the exploitation of animals and is criticised by others for not recognising any moral relevance of the plight of animals. These appeals overlook the broad applicability of Kant's principles. In this article, I argue that Kant's ethics implies a duty to abstain from most meat and some other animal products derived from farming. I argue that there is a Kantian principle not to choose goods that have been derived from wrongdoing, with certain qualifications. This principle isolates the wrong of using others to commit wrongdoing on one's behalf. As has been argued by others, Kant's ethics implies that animal farming as we know it in our society almost universally involves wrongdoing and the slaughter of animals is especially tied to wrongdoing. I argue for a broad sense in which these ideas together imply that choosing farmed meat, and probably other animal products, is treating animal industry workers as mere means. Thus, we have a Kantian duty to abstain from these products.     

Strategic Revenue Management under Uncertainty: A Case Study on Real Estate Projects in India

This paper proposes an approach for strategic revenue management under uncertainty for real estate projects. It integrates three modelling techniques: first, artificial neural network integrated support vector machines for forecasting the profit and loss‐making real estate residential projects; second, analytical network process approach using decision making trials and evaluation laboratory methodology for establishing interrelationships among factors; and third, multiobjective genetic algorithm approach for obtaining optimal numbers and types of apartments in a real estate project. We compare the respective revenues generated with the new number of apartments and price from the suggested revenue maximization model and that of the old practiced one through a case study of India. Copyright © 2015 John Wiley & Sons, Ltd.