Mutually Reinforcing Systems
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Mutually Reinforcing Systems
People can be used by computers to solve problems. In most cases this 'human computation' is used to gather information that computers struggle to create. These problems can be phrased as games to provide an incentive for people to do the work. In the past, these games have captured a broad level of information in the hope that specific needs will be covered. But what happens when we need specific information that the games have not been designed to create? Mutually reinforcing systems are a new approach to human computation that tries to attain this focus by allowing multiple systems to work together so that each one can benefit from the other's strengths. This dissertation shows that extending human computation techniques to allow the collection and classification of useful contextual information in mobile environments is possible and can be extended to allow the by-products to match the specific needs of another system.
GeoTech4Tenure
Author: Food and Agriculture Organization of the United Nations
language: en
Publisher: Food & Agriculture Org.
Release Date: 2022-07-30
In line with the Voluntary Guidelines on the Responsible Governance of Tenure (VGGT), public and private investments globally are increasingly recognising responsible land governance as a determinant for the success and sustainability of their achievements. Investment managers understand that preventing and mitigating tenure related issues is a necessary step to achieve their objectives. While a wide range of tools, community-based participatory approaches, and technologies are available to help clarify, protect and secure tenure rights, navigating this landscape requires expertise which is often not available to investment projects. This guide provides readers with a basic understanding of the functional linkages between land tenure and land-based investments. It illustrates the process of protecting and securing legitimate tenure rights through recordation, describes how to use fit-for-purpose technology to strengthen / support the process, identifies choices in selecting the appropriate technology based on objectives and context, and provides clear criteria to inform the choice.
Structural Inequalities and Health Outcomes for Chronic Disease
Structural Inequalities and Health Outcomes for Chronic Disease provides a conceptual framework for understanding existing evidence and guides the research around promising interventions and policies. In addition, it demonstrates how structural inequalities impact health and presents ways the healthcare system can participate in the solution. The book covers major chronic diseases and the special populations impacted by structural inequalities. Those working and studying public health, medicine, nursing, pharmacology will find this work of interest, as well as diversity and disparity scholars and health policymakers. - Presents the concepts underlying the emerging field of structural inequalities - Provides examples of the influence of structural inequality on chronic disease and special populations - Identifies the path forward and how to engage in changing structural inequalities