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The grievance mechanism is based on a survivor-centric approach id est, empowering the survivor of gender-based violence by prioritizing their rights, needs, and wishes. This note provides an overview of the grievance mechanism's setup and details for teams who may be considering implementing a similar mechanism in their projects.
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There is increasing recognition that women experience mobility differently from men. A growing body of literature documents the differences in men and women's mobility patterns. However, there is limited evidence on the evolution of these mobility patterns over time and the role that transportation networks play in women's access to economic opportunities. This study attempts to fill these gaps. It contributes to the literature in two ways. First, it documents the differences in men and women's mobility patterns in Mumbai, India, and the changes in these patterns over time, as the city has developed. Second, it explores whether the lack of access to mass transit limits women's labor force participation. The study analyzes two household surveys conducted in the Greater Mumbai Region in 2004 and 2019. It finds important differences in the mobility patterns of men and women that reflect differences in the division of labor within the household. These differences in mobility patterns, and their evolution over time, point to an implicit "pink tax" on female mobility. Transport appears to be only one of many barriers to women's labor force participation and not the most important one.
Access to Transport --- Employment and Unemployment --- Female Employment --- Female Labor Force Participation --- Gender --- Gender and Development --- Gender and Transport --- Gender Barriers --- Inequality --- Labor Markets --- Pink Tax --- Poverty Reduction --- Public Transit --- Transport --- Transport in Urban Areas --- Transport Mobility
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Ordered algebraic structures --- Algebra --- Algebraic geometry --- Differential topology --- Discrete mathematics --- algebra --- discrete wiskunde --- geometrie --- topologie
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Knowledge Engineering (KE) is a fi eld within artifi cial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specifi c domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent fi ndings and innovative research in the information system and KE domain. Highlighting the challenges and diffi culties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will fi nd this book a valuable source of ideas and guidance.
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