Shanshan Zhang – författare

This ground-breaking book explores the increased visibility of trans people in various academic fields of study including education. It asks who this visibility benefits, and how. With much of the Trans Studies literature in education yet to seriously consider trans as a global phenomenon, or anything beyond an embodied reality, the authors present new possibilities for trans as a global concept, interrogating the Western, trans-normative discourses in education scholarship. In doing so, they introduce a new, transnational lens for the discussion of trans and gender issues in higher education, explore the elucidation of a "new" Trans Studies in education from various perspectives, and demonstrate how trans extends beyond an embodied or material construct.A bold reconceptualization of trans in educational contexts, this book argues that the "new" trans studies can—and must—alter how we think, know, view, feel, and describe the phenomenon of gender. It will appeal to scholars, faculty, graduate students, early career scholars and critical educators with interests in gender and sexuality in education, gender-related scholarship, Trans Studies and international education.

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.The  84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.