Spartan Daily, April 16, 1993

Volume 100, Issue 48https://scholarworks.sjsu.edu/spartandaily/8406/thumbnail.jp

Spartan Daily, April 16, 1993

Volume 100, Issue 48https://scholarworks.sjsu.edu/spartandaily/8406/thumbnail.jp

Precision Oncology and Cancer Biomarkers

This open access book reflects on matters of social and ethical concern raised in the daily practices of those working in and around precision oncology. Each chapter addresses the experiences, concerns and issues at stake for people who work in settings where precision oncology is practiced, enacted, imagined or discussed. It subsequently discusses and analyses bioethical dilemmas, scientific challenges and economic trade-offs, the need for new policies, further technological innovation, social work, as well as phenomenological research. This volume takes a broad actor-centred perspective as, whenever cancer is present, the range of actors with issues at stake appears almost unlimited. This perspective and approach opens up the possibility for further in-depth and diverse questions, posed by the actors themselves, such as: How are cancer researchers navigating biological uncertainties? How do clinicians and policy-makers address ethical dilemmas around prioritisation of care? What are the patients’ experiences with, and hopes for, precision oncology? How do policy-makers and entrepreneurs envisage precision oncology? These questions are of great interest to a broad audience, including cancer researchers, oncologists, policy-makers, medical ethicists and philosophers, social scientists, patients and health economists

Sequential Adoption Theory: A Theory for Understanding Herding Behavior in Early Adoption of Novel Technologies

Technology adoption often occurs sequentially, so that later potential adopters can see the decisions (adopt or not adopt) of earlier potential adopters. In this paper we review the literature on observational learning, in which people use information gained by observing the behavior of others to inform their decisions, and note that little prior research has used an observational learning perspective to understand the adoption of information technology. Based on theory and previous literature, we suggest that observational learning is likely to be common in adoption decisions. We develop a model that extends existing observational learning models and use simulation to test the model. The results suggest that following the behavior of other similarly-situated decision makers can be a very useful strategy in adoption situations in which there is a great deal of uncertainty. Implications for research and practice are discussed

Tentative Decisions

Political scientists have long considered ideology, partisanship, and constituency in determining how members of the United States Congress make decisions. Meanwhile, psychologists have held that personality traits play central roles in decision-making. Here, we bridge these literatures by offering a framework for modeling how personality influences legislative behavior. Drawing from experimental economics and neuropsychology, we identify core cognitive constraints for the “Big Five” personality model, parameterizing them in ways useful for crafting formal models of legislative behavior. We then show one example of the applicability of this framework by creating a formal decision-theoretic model of constituency communicatio

Precision Oncology and Cancer Biomarkers

This open access book reflects on matters of social and ethical concern raised in the daily practices of those working in and around precision oncology. Each chapter addresses the experiences, concerns and issues at stake for people who work in settings where precision oncology is practiced, enacted, imagined or discussed. It subsequently discusses and analyses bioethical dilemmas, scientific challenges and economic trade-offs, the need for new policies, further technological innovation, social work, as well as phenomenological research. This volume takes a broad actor-centred perspective as, whenever cancer is present, the range of actors with issues at stake appears almost unlimited. This perspective and approach opens up the possibility for further in-depth and diverse questions, posed by the actors themselves, such as: How are cancer researchers navigating biological uncertainties? How do clinicians and policy-makers address ethical dilemmas around prioritisation of care? What are the patients’ experiences with, and hopes for, precision oncology? How do policy-makers and entrepreneurs envisage precision oncology? These questions are of great interest to a broad audience, including cancer researchers, oncologists, policy-makers, medical ethicists and philosophers, social scientists, patients and health economists

Learning in Evolutionary Environments

The purpose of this work is to present a sort of short selective guide to an enormous and diverse literature on learning processes in economics. We argue that learning is an ubiquitous characteristic of most economic and social systems but it acquires even greater importance in explicitly evolutionary environments where: a) heterogeneous agents systematically display various forms of "bounded rationality"; b) there is a persistent appearance of novelties, both as exogenous shocks and as the result of technological, behavioural and organisational innovations by the agents themselves; c) markets (and other interaction arrangements) perform as selection mechanisms; d) aggregate regularities are primarily emergent properties stemming from out-of-equilibrium interactions. We present, by means of examples, the most important classes of learning models, trying to show their links and differences, and setting them against a sort of ideal framework of "what one would like to understand about learning...". We put a signifiphasis on learning models in their bare-bone formal structure, but we also refer to the (generally richer) non-formal theorising about the same objects. This allows us to provide an easier mapping of a wide and largely unexplored research agenda.Learning, Evolutionary Environments, Economic Theory, Rationality