University of Georgia

About: University of Georgia is a education organization based out in Athens, Georgia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41934 authors who have published 93622 publications receiving 3713212 citations. The organization is also known as: UGA & Franklin College.

The iPlant Collaborative: Cyberinfrastructure for Plant Biology.

Abstract: The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded project that aims to create an innovative, comprehensive, and foundational cyberinfrastructure in support of plant biology research (PSCIC, 2006). iPlant is developing cyberinfrastructure that uniquely enables scientists throughout the diverse fields that comprise plant biology to address Grand Challenges in new ways, to stimulate and facilitate cross-disciplinary research, to promote biology and computer science research interactions, and to train the next generation of scientists on the use of cyberinfrastructure in research and education. Meeting humanity's projected demands for agricultural and forest products and the expectation that natural ecosystems be managed sustainably will require synergies from the application of information technologies. The iPlant cyberinfrastructure design is based on an unprecedented period of research community input, and leverages developments in high-performance computing, data storage, and cyberinfrastructure for the physical sciences. iPlant is an open-source project with application programming interfaces that allow the community to extend the infrastructure to meet its needs. iPlant is sponsoring community-driven workshops addressing specific scientific questions via analysis tool integration and hypothesis testing. These workshops teach researchers how to add bioinformatics tools and/or datasets into the iPlant cyberinfrastructure enabling plant scientists to perform complex analyses on large datasets without the need to master the command-line or high-performance computational services.

Self-Esteem and Socioeconomic Status: A Meta-Analytic Review

Abstract: Socioeconomic status (SES) has a small but significantrelationship with self-esteem (d = .15, r = .08) in a meta-analysis of 446 samples (total participant N = 312,940). Higher SES individuals report higher self-esteem. The effect size is very small in young children, increases substantially during young adulthood, continues higher until middle age, and is then smaller for adults over the age of 60. Gender interacts with birth cohort: The effect size increased over time for women but decreased over time for men. Asians and Asian Americans show a higher effect size, and occupation and education produce higher correlations with self-esteem than income does. The results are most consistent with a social indicator or salience model.

Public Service Motivation: A Systematic Literature Review and Outlook

Abstract: Over the past two decades, research on public service motivation has seen rapid growth. Despite the relatively large number of publications to date, no systematic research overview has been created, leaving the body of literature somewhat unstructured and possibly hampering future research. This article fills this void by providing a systematic literature review of 323 publications that examines six key aspects of the literature on public service motivation: the growth of research on the concept, the most prominent studies based on a referencing network analysis, the most frequent publication outlets, research designs and methods, lines of inquiry and patterns of empirical findings, and implications for practice drawn from the publications in the study sample. Strengths and weaknesses of the existing literature are identified, and future research directions are proposed.

TEN LIES OF ETHNOGRAPHY: Moral Dilemmas of Field Research

Abstract: As Everett Hughes noted, there is an “underside” to all work. Each job includes ways of doing things that would be inappropriate for those outside the guild to know. Illusions are essential for maintaining occupational reputation, but in the process they create a set of moral dilemmas. So it is with ethnographic work. This article describes the underside of ethnographic work: compromises that one frequently makes with idealized ethical standards. It argues that images of ethnographers—personal and public—are based on partial truths or self-deceptions. The focus is on three clusters of dilemmas: the classical virtues (the kindly ethnographer, the friendly ethnographer, and the honest ethnographer), technical skills (the precise ethnographer, the observant ethnographer, and the unobtrusive ethnographer), and the ethnographic self (the candid ethnographer, the chaste ethnographer, the fair ethnographer, and the literary ethnographer). Changes in ethnographic styles and traditions alter the balance of these d...