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"Is the university contributing to our global crises or does it offer stories of hope? Much recent debate about higher education has focused upon rankings, quality, financing and student mobility. The COVID-19 pandemic, the climate crisis, the calls for decolonisation, the persistence of gender violence, the rise of authoritarian nationalism, and the challenge of the United Nations Sustainable Development Goals have taken on new urgency and given rise to larger questions about the social relevance of higher education. In this new era of uncertainty, and perhaps opportunity, higher education institutions can play a vital role in a great transition or civilisational shift to a newly imagined world. Socially Responsible Higher Education: International Perspectives on Knowledge Democracy shares the experiences of a broadly representative and globally dispersed set of writers on higher education and social responsibility, broadening perspectives on the democratisation of knowledge. The editors have deliberately sought examples and viewpoints from parts of the world that are seldom heard in the international literature. Importantly, they have intentionally chosen to achieve a gender and diversity balance among the contributors. The stories in this book call us to take back the right to imagine, and 'reclaim' the public purposes of higher education"--
This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.
Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. The Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.