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The Gender-Sensitive University explores the prevailing forces that pose obstacles to driving a gender-sensitive university, which include the emergence of far-right movements that seek to subvert advances towards gender equality and managerialism that promotes creeping corporatism. This book demonstrates that awareness of gender equality and gender sensitivity are essential for pulling contemporary academia back from the brink. New forms of leadership are fundamental to reforming our institutions. The concept of a gender-sensitive university requires re-envisioning academia to meet these challenges, as does a different engagement of men and a shift towards fluidity in how gender is formulated and performed. Academia can only be truly gender-sensitive if, learning from the past, it can avoid repeating the same mistakes and addressing existing and new biases. The book chapters analyse these challenges and advocate the possibilities to ‘fix it forward’ in all areas.Representing ten EU countries and multiple disciplines, contributors to this volume highlight the evidence of persistent gender inequalities in academia, while advocating a blueprint for addressing them. The book will be of interest to a global readership of students, academics, researchers, practitioners, academic and political leaders and policy makers who share an interest in what it takes to establish gender-sensitive universities.

Sex discrimination in higher education --- Education, Higher --- Sociology --- EU --- Europe --- GEPs --- gender --- equality --- university --- gender bias --- inequality --- College environment --- Universities and colleges --- Women in higher education

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The aim of this book is to analyse and reflect on the effect of femininities in the field and the encountered biases specific to women researchers in tourism studies. The purpose of the book is to define potential areas of gender bias using international case studies from five continents to improve the validity and transparency of future research conducted by researchers in transcultural contexts. It covers broad themes including access, attire and conduct, sexual harassment, personal safety, and accompanied research and well-being. The volume provides case studies using reflexivity to create baselines for comparison for female (and male) researchers doing fieldwork and outlines potential areas of concern for supervisors through a transdisciplinary approach in a global context. It is an essential guide for supervisors, students, ethics committee members and any researchers.

Femininity. --- Field research. --- female experiences of research. --- female researchers. --- femininities. --- gender bias. --- gender studies. --- tourism fieldwork. --- tourism research. --- Tourism --- Sex discrimination against women

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Entrepreneurs in Myanmar face many challenges to starting and operating a business. As is the experience globally, women often experience these challenges to a greater extent and face additional sociocultural barriers, limiting their equal participation in the economy. To develop a better understanding of the dynamics holding back private sector development, especially for women, this paper uses data from the first-of-a-kind, firm-level data set available in Myanmar. The analysis explores the variance of experience female-owned micro, small, and medium-size enterprises face compared with their male-owned counterparts. The paper assesses the barriers imposed on entrepreneurs and their businesses and identifies firm-level characteristics leading to the use of good business practices. Further, the analysis investigates the adoption of gender and family-friendly policies, as an outcome and as a determinant of business success. The purpose of the study is to gain a better understanding of the barriers to gender-inclusive private sector development in Myanmar and provide tangible recommendations to private- and government-level actors. Overall, the analysis finds the major constraints for women entrepreneurs are access to finance and sociocultural factors, such as family responsibilities and household work.

Access To Finance --- Female Entrepreneurs --- Firm Survey --- Gender --- Gender and Development --- Gender and Economic Policy --- Gender and Economics --- Gender and Poverty --- Gender and Social Policy --- Gender Bias --- Inequality --- Sociocultural Barriers --- Women --- Women Entrepreneurs

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This book is a collection of the accepted papers presented at the Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) in conjunction with the 36th AAAI Conference on Artificial Intelligence 2022. During AIBSD 2022, the attendees addressed the existing issues of data bias and scarcity in Artificial Intelligence and discussed potential solutions in real-world scenarios. A set of papers presented at AIBSD 2022 is selected for further publication and included in this book.

Technology: general issues. --- Artificial intelligence --- History of engineering & technology. --- permutation equivariance --- optimization --- gender bias --- fairness --- face-recognition models --- facial attributes --- social bias --- bias detection --- natural language processing --- temporal bias --- forecasting --- contrastive learning --- supervised contrastive learning --- transfer learning --- robustness --- noisy labels --- coresets --- deep learning --- contextualized embeddings --- out-of-distribution generalization --- permutation equivariance --- optimization --- gender bias --- fairness --- face-recognition models --- facial attributes --- social bias --- bias detection --- natural language processing --- temporal bias --- forecasting --- contrastive learning --- supervised contrastive learning --- transfer learning --- robustness --- noisy labels --- coresets --- deep learning --- contextualized embeddings --- out-of-distribution generalization

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On behalf of the Program Committee, a very warm welcome to the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020). This edition of the conference is held in Bologna and organised by the University of Bologna. The CLiC-it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after six years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges.

Linguistics --- Computational Linguistics --- Fine-grained sentiment analysis --- Distributional Semantics --- Quantitative Linguistic Investigations --- Gender Bias --- Depression from Social Media --- Online Hate Speech --- Automatic Sarcasm Detection --- TrAVaSI --- AriEmozione --- AEREST --- COVID-19 --- Linguistic Ostracism in Social Networks --- Multilingual NLU --- E3C Project --- DistilBERT --- Twitter during Pandemic --- COVID-1