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Smarter Crowdsourcing for Anti-Corruption
Corruption presents a fundamental threat to the stability and prosperity of Mexico and combating it demands approaches that are both principled and practical. In 2017, the Inter-American Development Bank (IDB) approved project ME-T1351 to support Mexico in its fight against corruption using Open Innovation. Thus, the IDB partnered with the Governance Lab at NYU to support Mexico’s Secretariat of Public Service (Secretaría de la Función Pública) to identify innovative solutions for the measurement, detection, and prevention of corruption in Mexico using the GovLab’s open innovation methodology named Smarter Crowdsourcing. The purpose of Smarter Crowdsourcing was to identify concrete so...
Smarter Crowdsourcing for Anti-Corruption
La corrupción representa una amenaza fundamental para la estabilidad y la prosperidad de México, y combatirla requiere de enfoques tanto prácticos como basados en principios. En 2017, el Banco Interamericano de Desarrollo (BID) aprobó el proyecto ME-T1351 para apoyar a México en su lucha contra la corrupción utilizando la innovación abierta. Así, el BID se asoció con el Laboratorio de Gobierno de NYU para apoyar a la Secretaría de la Función Pública de México en la identificación de soluciones innovadoras para la medición, detección y prevención de la corrupción en México usando la metodología de innovación abierta del GovLab llamada Crowdsourcing inteligente. El propós...
Open Data in Developing Economies
Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open data’s role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development. Open Data for Developing Economies features in-depth case studies on how open data is having an impact across the developing world-from an agriculture initiative in Colombia to data-driven healthcare projects in Uganda and South Africa to crisis response in Nepal. The analysis built on these case studies aims to create actionable intelligence regarding: (a) the conditions under which open data is most (and least) effective in development, presented in the form of a Periodic Table of Open Data; (b) strategies to maximize the positive contributions of open data to development; and (c) the means for limiting open data’s harms on developing countries.
Art Song Composers of Spain
Art Song Composers of Spain: An Encyclopedia describes the wealth of vocal repertoire composed by 19th- and 20th-century Spanish song composers. More than 90 composers are discussed in detail with complete biographies, descriptions, and examples of the song literature, as well as comprehensive listings of stage works, books, recordings, compositions in non-vocal genres, and vocal repertoire. Opening with a thorough history of Spain and its political scene, author Suzanne Rhodes Draayer examines its relation to song composition and the impact on composers such as Fernando Sor, Sebasti_n de Iradier, Federico Garc'a Lorca, Manuel de Falla, and many others. Draayer discusses Spanish art song and...
Children Learn by Observing and Contributing to Family and Community Endeavors: A Cultural Paradigm
Children Learn by Observing and Contributing to Family and Community Endeavors, the latest in the Advances in Child Development and Behavior Series provides a major step forward in highlighting patterns and variability in the normative development of the everyday lives of children, expanding beyond the usual research populations that have extensive Western schooling in common. The book documents the organization of children's learning and social lives, especially among children whose families have historical roots in the Americas (North, Central, and South), where children traditionally are included and contribute to the activities of their families and communities, and where Western schooling is a recent foreign influence. The findings and theoretical arguments highlight a coherent picture of the importance of the development of children's participation in ongoing activity as presented by authors with extensive experience living and working in such communities.
Logistics Management and Optimization Through Hybrid Artificial Intelligence Systems
"This book offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses, investigating biologically inspired algorithms such as ant colony optimization and particle swarm optimization"--
Handbook of Heuristics
Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic...
