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UID:800@fds.yale.edu
DTSTART;TZID=America/New_York:20241023T113000
DTEND;TZID=America/New_York:20241023T130000
DTSTAMP:20250916T142140Z
URL:https://fds.yale.edu/events/fds-colloquium-emma-zang-yale/
SUMMARY:FDS Colloquium: Emma Zang (Yale)\, "Harnessing AI and Digital Data:
  Unlocking New Frontiers in Family Research"
DESCRIPTION:\nAbstract:  AI and digital data have been increasingly used t
 o explore a wide range of social science topics\, yet their potential in f
 amily research remains largely untapped.  I will present two of my projec
 ts that leverage these tools to offer new insights into family dynamics. T
 he first project\, Remote Work and Utilization of Formal Childcare Servi
 ces\, uses anonymized mobile location data from SafeGraph and Facebook Mo
 vement Range to analyze how remote work is associated with the utilization
  of formal childcare services (i.e.\, childcare centers\, and primary and 
 secondary schools). We further examine how this relationship varies by the
  availability\, affordability\, and quality of these services. The second 
 project\, Evaluating LLMs for Chinese Divorce Judgments\, tests the capab
 ilities of large language models (LLMs) including a range of GPT models (G
 PT-3.5\, GPT-4\, GPT-4o-mini\, GPT-4o\, and a fine-tuned GPT-4o-mini) and 
 a Chinese LLM\, Qwen\, to classify over 1.5 million Chinese divorce cases 
 by variables such as gender\, custody claims\, and property disputes. It c
 ompares AI-based methods with traditional machine-learning approaches in t
 his legal context. These projects illustrate the untapped potential of AI 
 and digital data to deepen our understanding of family dynamics\, opening 
 new avenues for research in this field.\n\n\n\nSpeaker bio: Dr. Emma Zan
 g is an Assistant Professor in the Department of Sociology at Yale Univers
 ity\, with secondary appointments in Biostatistics and Global Affairs. Her
  research interests intersect at the nexus of health and aging\, family de
 mography\, and inequality\, employing advanced data science and statistica
 l tools. She also develops and evaluates statistical methods to model traj
 ectories and life transitions\, aiming to understand health disparities fr
 om a life course perspective. Her research has received media coverage fro
 m over 500 outlets in the United States\, China\, South Korea\, India\, an
 d Singapore. Her work has received multiple academic awards from organizat
 ions such as the American Sociological Association and IPUMS USA.\n
CATEGORIES:FDS Events,Colloquium
LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th 
 Floor\, Room 1327\, New Haven\, CT\, 06511\, United States
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