Introduction

The field of software engineering and academia is experiencing a significant shift towards recognizing the importance of gender diversity and inclusion. Recent studies have highlighted the underrepresentation of women in these fields and the need to address the challenges they face.

General Trends

The research area is moving towards a deeper understanding of the socio-technical context of software engineering and the impact of gender diversity on code quality, online scholarly discourse, and academic experiences. Studies are exploring the factors that influence women's participation and confidence in these fields, including discriminatory practices, gender stereotypes, and lack of representation.

Innovative Work

Noteworthy papers in this area include those that investigate the relationship between gender diversity and code quality in AI systems, finding that diverse teams produce higher-quality code. Others examine the online communication patterns of academics, revealing that female academics are more frequently subjected to toxic and threatening replies. Additionally, research on enhancing women's experiences in software engineering highlights the need for profound societal changes to boost women's participation.

Noteworthy Papers

• An Empirical Study on the Impact of Gender Diversity on Code Quality in AI Systems: This study reveals that diverse AI teams produce higher-quality code and achieve higher popularity and community engagement. The findings emphasize the need to remove barriers to female participation in AI development.
• Social Media and Academia: How Gender Influences Online Scholarly Discourse: This paper highlights the impact of gender on online communication patterns of academics, with female academics being more frequently subjected to toxic and threatening replies.