BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=-1SU;BYMONTH=10 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T010000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=-1SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN=Daniele Quercia:mailto:daniele.quer...@polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=smartdater s...@smartdata.polito.it:mailto:smartdat...@smartdata.polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=members@sm artdata.polito.it:mailto:memb...@smartdata.polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=nexa@serve r-nexa.polito.it:mailto:nexa@server-nexa.polito.it ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Luca Colo mba:mailto:luca.colo...@polito.it ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Eleonora Poeta:mailto:eleonora.po...@polito.it ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Martino T revisan:mailto:martino.trevi...@polito.it ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Matteo Bo ffa:mailto:matteo.bo...@polito.it ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Francesco Vaccarino:mailto:francesco.vaccar...@polito.it ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Danilo Pe sce:mailto:danilo.pe...@polito.it DESCRIPTION;LANGUAGE=en-US:Join the meeting here<https://teams.microsoft.co m/l/meetup-join/19%3ameeting_OTkzYzAyOTctOWY1My00ZTY0LTkxYzUtODU5ODg2OTM3O Tdm%40thread.v2/0?context=%7b%22Tid%22%3a%225d471751-9675-428d-917b-70f44f 9630b0%22%2c%22Oid%22%3a%221e405340-2229-4554-b37f-b193c118d70e%22%7d>\n\n \nTitle: Understanding Student Perceptions of Human vs. Algorithmic Recomm endations in College Applications\n\nFaidra Monachou \, Yale School of Man agement\n\nAbstract: This study examines student preferences for human ver sus algorithmic recommendations in college applications across 14 public h igh schools. We find that students exhibit aversion to algorithmic recomme ndations when the basis is more objective but not when it is most subjecti ve. Aversion is strongly driven by perceptions of the recommender’s inte nt\, alongside alignment with personal goals\, ability\, and comprehension . Free-text responses suggest that students seek guidance on study options from human counselors but rely on algorithms for grade-based recommendati ons. Using an optimization approach\, we show how a policymaker can naviga te heterogeneity in recommendation adoption and optimally assign human ver sus algorithmic recommenders under capacity constraints. A targeting polic y based on readily available student and school features can closely appro ximate a first-best\, personalized approach. These findings underscore the importance of understanding student preferences for effective\, equitable recommendation systems and highlight the potential of hybrid approaches i ntegrating human guidance with algorithms.\n\n<https://arxiv.org/abs/2407. 02191>Bio: Faidra Monachou is an Assistant Professor of Operations Managem ent at the Yale School of Management. She is interested in market design a nd operations for social impact\, with a particular focus on education. Sh e uses mathematical tools from operations research\, economics\, and data science to design operational interventions that optimally balance efficie ncy and equity. Her research has received the Best Paper with a Student Pr esenter Award at the ACM Conference on Equity and Access in Algorithms\, M echanisms\, and Optimization (EAAMO) and the first place in the inaugural INFORMS DEI Best Student Paper competition. Faidra completed her PhD in Op erations Research at the Management Science and Engineering department at Stanford University and her undergraduate studies in Electrical and Comput er Engineering at the National Technical University of Athens in Greece. P rior to joining Yale\, she was a Postdoctoral Fellow at Harvard University .\n\nSubscribe to future talk announcements: Anyone outside Bell Labs can receive talk announcements by subscribing to the mailing list. To subscrib e\, send an empty email with the subject line "Subscribe RAI" to daniele.q uer...@nokia-bell-labs.com<mailto:daniele.quer...@nokia-bell-labs.com>.\n\ n UID:040000008200E00074C5B7101A82E008000000009DA7AF11638FDB01000000000000000 01000000050E8D6D82BEDAA46B5BE04536B778879 SUMMARY;LANGUAGE=en-US:[Responsible AI Talk] Understanding Student Percepti ons\, Faidra Monachou\, Yale School of Management DTSTART;TZID=GMT Standard Time:20250310T153000 DTEND;TZID=GMT Standard Time:20250310T163000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20250308T084934Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:2 X-MICROSOFT-CDO-APPT-SEQUENCE:2 X-MICROSOFT-CDO-OWNERAPPTID:2123578525 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-REQUESTEDATTENDANCEMODE:DEFAULT X-MICROSOFT-ISRESPONSEREQUESTED:TRUE BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT15M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR
