Hawjin Falahatkar

When talking about “the right to everyday life”, we understand the role of urban places in supporting our daily ordinary practices like walking, sitting, shopping, recreating, and interacting. However, do urban places support the right to everyday life equitably for all genders? The male-female spatial separations as a consequent of the Industrial Revolution in 19^th century have been a product and driver of gender inequalities and caused sexual discrimination in the design, construction, and use of urban places. Therefore, in my research, I try to analyze the gender-inclusiveness of urban places using data-driven methods. I follow the feminist theory patterns about gender-place relations to find out the data and the methods I need for this analysis. To address all multifaceted aspects of gender-place relationships, I need to attain and integrate multi-type, multi-scale, and multi-source datasets, from imagery to LiDAR, employing multiple data processing methods, from manual to automatic machine learning methods.