Arguing For A Better World How Philosophy Can Help Us Fight For Social Justice
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Arguing for a Better World
Is it sexist to say that “men are trash”? Can white people be victims of racism? Do we bear any individual responsibility for climate change? We’ve all wrestled with questions like these, whether we’re shouting at a relative across the dinner table, quarreling with old classmates on social media, or chatting late into the night with friends. Many people give kneejerk answers that roughly align with their broader belief system, but flounder when asked for their reasoning, leading to a conversational stalemate—especially when faced with a political, generational, or cultural divide. The truth is that our answers to these questions almost always rely on unexamined assumptions. In Arguing for a Better World, philosopher Arianne Shahvisi shows us how to work through thorny moral questions by examining their parts in broad daylight, equipping us to not only identify our own positions but to defend them as well. This book demonstrates the relevance of philosophy to our everyday lives, and offers some clear-eyed tools to those who want to learn how to better fight for justice and liberation for all.
Arguing for a Better World
The publication will reflect Lord Desai's work in diverse fields of the social sciences (economics, philosophy, political science) as well as his passionate commitment to the freedom and wellbeing of individuals, and his optimism about human progress and globalisation.
Information for a Better World: Shaping the Global Future
This two-volume set LNCS 13192 – 13193 constitutes the refereed proceedings of the 17th International Conference on Information for a Better World: Shaping the Global Future, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and the 29 short papers presented in this volume were carefully reviewed and selected from 167 submissions. They cover topics such as: Library and Information Science; Information Governance and Ethics; Data Science; Human-Computer Interaction and Technology ̧ Information Behaviour and Retrieval ̧ Communities and Media ̧ Health Informatics.