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ORGANIZER;CN=Daniele  Quercia:mailto:[email protected]
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=smartdater
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DESCRIPTION;LANGUAGE=en-US:Who Can Pivot? Measuring Career Adaptability Acr
 oss Education\, Work\, and Migration\n\nAlireza Javadian Sabet\, Universit
 y of Pittsburgh\n\nMS Teams<https://teams.microsoft.com/meet/3522551074695
 08?p=JcYaMt3ZnuCNXBHBbz>\n\nFormat: 35 min talk + 25 min Q&A\n\nAbstract: 
 Careers can look straightforward on a CV—titles\, employers\, degrees—
 yet what really determines mobility is the evolving set of capabilities be
 hind those labels: what people learn\, what transfers\, and what quietly s
 tops transferring when opportunities shift. In this talk\, I bring new mea
 surements to that hidden layer. I translate millions of university syllabi
  into workforce-relevant skill profiles to compare what institutions teach
  to what jobs demand\, and to see how the “same” credential can imply 
 very different readiness depending on the skills it bundles. I then introd
 uce Career Space\, a representation that places education and jobs in a sh
 ared embedding to track occupation compatibility as something that grows\,
  concentrates\, or fades as experience accumulates—capturing the differe
 nce between pathways that keep many options open and those that build deep
 \, targeted advantage. I close by looking at a higher-stakes pivot: cross-
 border mobility. Using large-scale career histories linked to origin-count
 ry conditions\, I examine how women’s empowerment reshapes return versus
  stay decisions and how these choices redistribute knowledge production ac
 ross countries.\n\nBio: Alireza Javadian Sabet is a computational social s
 cientist and Ph.D. candidate in Information Science at the University of P
 ittsburgh’s Resilient Economy Lab (REL). His research develops scalable\
 , data-driven methods to study careers as sequences of learned capabilitie
 s\, measuring how skills form in education\, transfer across jobs\, and ac
 cumulate into career adaptability. He examines when trajectories benefit m
 ore from broad flexibility versus deep specialization. Prior to his Ph.D.\
 , he earned an M.Sc. in Computer Science and Engineering at Politecnico di
  Milano\, where he built large-scale datasets and models to study behavior
  during major live events and developed context-aware personalization and 
 recommender systems for multimodal travel.\n\n\nSubscribe to future talk a
 nnouncements: Anyone outside Bell Labs can receive talk announcements by s
 ubscribing to the mailing list. To subscribe\, send an empty email with th
 e subject line "Subscribe RAI” to [email protected]\n\n\n\n\n\n\
 n
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 010000000768F10842E5E5840A3DC8043C84CBCA8
SUMMARY;LANGUAGE=en-US:[Responsible AI] Who Can Pivot? Measuring Career Ada
 ptability Across Education\, Work\, and Migration
DTSTART;TZID=GMT Standard Time:20260601T153000
DTEND;TZID=GMT Standard Time:20260601T163000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20260527T142105Z
TRANSP:OPAQUE
STATUS:CONFIRMED
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