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UID:828@fds.yale.edu
DTSTART;TZID=America/New_York:20250219T113000
DTEND;TZID=America/New_York:20250219T130000
DTSTAMP:20250916T142146Z
URL:https://fds.yale.edu/events/fds-colloquium-kristina-gligoric-stanford/
SUMMARY:FDS Colloquium: Kristina Gligoric (Stanford)\, "Supporting policies
  and interventions to promote healthy and sustainable habits"
DESCRIPTION:\nAbstract:  Data science tools create new opportunities to as
 sist policy-makers. For example\, enabling healthy and sustainable diets i
 s key to addressing preventable diseases and climate change. How can data 
 science methods help policy-makers in developing interventions that addres
 s these and other societal challenges?\n\n\n\nI develop causal inference t
 ools for explaining decision-making and LLM methods for implementing novel
  interventions. I will describe how social factors affect decision-making 
 in campus communities (PNAS Nexus '24) and talk about work that mined thes
 e insights to assist chefs and food scientists by revising menus and produ
 cts. I apply the same causal inference and LLM tools to other societal iss
 ues affecting localized communities. For instance\, I will describe how we
  can help neighbors get along online by developing novel interventions on 
 social media (PNAS '24). These new data science methods advance the founda
 tions for technology to support policy-making and interventions.\n\n\n\nTh
 ese studies have had a real impact\, affecting thousands of people within 
 a university campus and hundreds of thousands of online users\, in partner
 ships with real-world organizations and companies. My work expands how dat
 a science tools can positively affect society across a spectrum of everyda
 y activities\, improving communication\, health\, and sustainability.\n\n\
 n\nSpeaker bio: Kristina Gligorić is a Postdoctoral Scholar at Stanford U
 niversity's Computer Science Department. Previously\, she obtained her Ph.
 D. in Computer Science at EPFL. Her work has been published in top compute
 r science conferences focused on computational social science and in broad
  audience journals (PNAS\, Nature Medicine\, and Nature Communications). S
 he is a Swiss National Science Foundation Fellow\, Rising Star in Data Sci
 ence\, EECS Rising Star\, and Rising Star in GenAI. She received awards fo
 r her work\, including the EPFL Thesis Distinction and CSCW 2021 Best Pape
 r Honorable Mention Award. Her work has been featured in high-profile outl
 ets including Scientific American and Nature’s Editors’ Highlights.\n\
 n\n\n\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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 E=Yale Institute for Foundations of Data Science:geo:0,0
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