AIJ focuses its efforts to undertake new frontier research. Dedicated to human-centered data science, we tackle important questions at the leading edge of computational social science.
This project aims to systematically engage with the problem of bias for the purpose of addressing the social ills that this form of discrimination can cause.
Using data collected from social media, this project examines a series of issues in the area of domestic violence, dating violence and child abuse in China.
Family violence (DV) increases in the wake of COVID-19. The project findings will provide rapid, real-time knowledge of family violence during the outbreak......
Scholars and advocates alike believe that endorsement of rape myths helps perpetuate rape and obscure the need for social changes by conveying false ideas......
Using a nationally representative survey of urban areas from China collected in 2016, we examine several research questions regarding school bullying......
With machine learning approach, this project examine Twitter user's responses to high-profile male versus female athletes who walked away from their sport to protect their mental health.
