Interactive Peacemaking : A People-Centered Approach / / Susan H. Allen

• Record Nr.: UNINA9910520104003321
• Autore: Allen Susan H. <1970->
• Pubbl/distr/stampa: Taylor & Francis, 2022; London : , : Routledge, , 2022
• ISBN: 1-00-318900-8; 1-000-55188-1; 1-003-18900-8
• Descrizione fisica: 1 online resource (156 pages)
• Collana: Routledge studies in peace and conflict resolution
• Disciplina: 303.66
• Soggetti: Peace-building; South Ossetia (Georgia) History Autonomy and independence movements
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: What exists is possible -- Georgians and South Ossetians wage war and peace -- Practice builds theory -- People make peace -- Process shapes people-centered peacemaking -- Locals lead with global awareness -- Peacemakers adapt -- Both individuals and groups of people make peace -- Peacemaking is personal.
• Sommario/riassunto: This book examines the theory and practice of interactive peacemaking, centering the role of people in making peace. The book presents the theory and practice of peacemaking as found in contemporary processes globally. By putting people at the center of the analysis, it outlines the possibilities of peacemaking by and for the people whose lives are touched by ongoing conflicts. While considering examples from around the world, this book specifically focuses on peacemaking in the Georgian-South Ossetian context. It tells the stories of individuals on both sides of the conflict, and explores why people choose to make peace, and how they work within their societies to encourage this. This book emphasizes theory built from practice and offers methodological guidance on learning from practice in the conflict resolution field. This book will be of much interest to students and ; practitioners of peacemaking, conflict resolution, South Caucasus politics and International Relations. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Numerical and Data-Driven Modelling in Coastal, Hydrological and Hydraulic Engineering

• Record Nr.: UNINA9910557351203321
• Autore: Fang Fangxin
• Pubbl/distr/stampa: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (110 p.)
• Soggetti: Research & information: general
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: The book presents recent studies covering the aspects of challenges in predictive modelling and applications. Advanced numerical techniques for accurate and efficient real-time prediction and optimal management in coastal and hydraulic engineering are explored. For example, adaptive unstructured meshes are introduced to capture the important dynamics that operate over a range of length scales. Deep learning techniques enable rapid and accurate modelling simulations and pave the way towards both real-time forecasting and overall optimisation control over time, thus improving profitability and managing risk. The use of data assimilation techniques incorporates information from experiments and observations to reduce uncertainties in predictions and improve predictive accuracy. Targeted observation approaches can be used for identifying when, where, and what types of observations would provide the greatest improvement to specific model forecasts at a future time. Such targeted observations are important as ; they will allow the most effective use of available monitoring resources. The combination of deep learning and data assimilation enables a rapid and accurate response in emergencies. The technologies discussed here can be also used to determine the sensitivity of outputs to various operational conditions in engineering and management, thus providing reliable information to both the public and policy-makers