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BEGIN:VEVENT

CATEGORIES:Utilities
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20200219T203703Z
DESCRIPTION:There is widespread concern that social media platforms have c
 reated filter bubbles that reinforce peoples' pre-existing views and prev
 ent them from being exposed to those who do not share them. Though many p
 eople believe popping filter bubbles will reduce political polarization o
 n social media\, this talk will present multiple field experiments that c
 hallenge this common wisdom. I will first describe two studies that emplo
 yed bots\, network analysis\, and quantitative surveys in order to show t
 hat popping peoples' filter bubbles makes them more polarized\; not less.
  Drawing upon in-depth interview and text-based data\, I will argue that 
 this backfire effect occurs because of an identity-threat mechanism linke
 d to both core theories in social science as well as recent advances in n
 euroscience. Finally\, I will describe ongoing research currently being c
 onducted within my Polarization Lab that experimentally manipulates the i
 dentity of people deliberating on a de novo social media platform in orde
 r to further test this hypothesis. The results may be of interest to thos
 e who study political communication\, social media\, or the emerging fiel
 d of computational social science. This session is part of the Duke+Data 
 Science (+DS) program in-person learning experiences (IPLEs). To learn mo
 re\, please visit https://plus.datascience.duke.edu/
DURATION:PT2H
DTSTAMP:20200219T203703Z
DTSTART;TZID=America/New_York:20200304T163000
LAST-MODIFIED:20200219T203703Z
LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28316d13-00000060:LSRC Hall
  of Science
STATUS:CONFIRMED
SUMMARY:+DS IPLE: Social Media Echo Chambers and Political Polarization
UID:CAL-2c918085-70421c0e-0170-5f2b12f6-0000581fdemobedework@mysite.edu
URL:https://training.oit.duke.edu/enroll/common/show/21/174918
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 als/users/agrp_InformationInitiativeatDuke,/principals/users/agrp_rd105,/
 principals/users/agrp_CenterforPoliticsandPublicLeadership,/principals/us
 ers/agrp__ArtsandSciences_PoliticalScience,/principals/users/agrp_PrattSc
 hool,":Biostatistics and Bioinformatics\,Duke Initiative for Science & So
 ciety\,Duke-Margolis Center for Health Policy\,Information Initiative at 
 Duke (iiD)\,Machine Learning\,POLIS: Center for Politics\,Political Scien
 ce\,Pratt School of Engineering
X-BEDEWORK-SPEAKER:Chris Bail
X-BEDEWORK-DUKE-SERIES:+DS In-Person Learning Experiences
X-BEDEWORK-SUBMITTEDBY:rusincov for +DataScience (+DS) (agrp_provost_plusD
 ataScience)
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Utilities
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20200220T154338Z
DESCRIPTION:There is a big data revolution happening in astrophysics as th
 e next generation of telescopes are coming online\, with 20 terabytes of 
 data coming from a single telescope per night. From this large amount of 
 data\, scientists are trying to find subtle clues that can help uncover t
 he most profound mysteries in the universe. Here\, I will focus on some o
 f the machine learning and deep learning techniques that have been employ
 ed to classify different types of stars\, galaxies and transients. I will
  go over recent successes and challenges\, and show off the work I do\, d
 emonstrated by one of the latest and most popular Kaggle machine-learning
  competitions ever called 'PLAsTiCC Astronomical Classification: Can you 
 help make sense of the Universe?' This session is part of the Duke+Data S
 cience (+DS) program in-person learning experiences (IPLEs). To learn mor
 e\, please visit https://plus.datascience.duke.edu/
DURATION:PT2H
DTSTAMP:20200312T200029Z
DTSTART;TZID=America/New_York:20200319T163000
LAST-MODIFIED:20200312T200029Z
LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28316d13-00000060:LSRC Hall
  of Science
STATUS:CANCELLED
SUMMARY:+DS IPLE: The Impact of Machine Learning in Astrophysics and Cosmo
 logy
UID:CAL-2c918085-70421c0e-0170-6344ccaf-000076a4demobedework@mysite.edu
URL:https://training.oit.duke.edu/enroll/common/show/21/174921
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 attSchool,/principals/users/agrp__ArtsandSciences_TrinityCollege,":Biosta
 tistics and Bioinformatics\,Information Initiative at Duke (iiD)\,Machine
  Learning\,Pratt School of Engineering\,Trinity College
X-BEDEWORK-SPEAKER:Dan Scolnic
X-BEDEWORK-DUKE-SERIES:+DS In-Person Learning Experiences
X-BEDEWORK-SUBMITTEDBY:rusincov for +DataScience (+DS) (agrp_provost_plusD
 ataScience)
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Other
CATEGORIES:Utilities
CATEGORIES:Reception
CATEGORIES:Alumni/Reunion
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20230331T151704Z
DESCRIPTION:Connect and celebrate with your classmates from Duke Universit
 y's Computer Science Department at this casual\, fun reception honoring o
 ur returning alumni.  The reception will feature finger food\, beer\, win
 e\, and other beverages.  You will be able to talk to students about thei
 r ongoing work and\, weather permitting\, enjoy games on the LSRC lawn.  
 Register now to let us know you will join us.
DURATION:PT2H
DTSTAMP:20230331T152100Z
DTSTART;TZID=America/New_York:20230414T150000
LAST-MODIFIED:20230331T152100Z
LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28316d13-00000060:LSRC Hall
  of Science
STATUS:CONFIRMED
SUMMARY:Computer Science Alumni Reception - Reunion Weekend 2023
UID:CAL-8a0182b3-870a191e-0187-383e602f-00001f3fdemobedework@mysite.edu
URL:https://rsvp.duke.edu/ORW8M0
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 ties/Main
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 user/Other/Alumni_Reunion
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Reception:/user/public-user/
 Other/Reception
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_DukeAlu
 mniAssociation,":Duke Alumni Association (DAA)
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=amy.peters@duke.edu:Amy 
 Peters\, Alumni & Industry Engagement Dir
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X-BEDEWORK-IMAGE-ALT-TEXT:Computer Science Alumni Reception 14 April - Reu
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X-BEDEWORK-SUBMITTEDBY:cr390 for Computer Science (agrp_ArtsandSciences_Co
 mputerScience)
X-BEDEWORK-IMAGE:/public/Images/csalumnireunion2023dukecalendar_2023033103
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END:VEVENT
BEGIN:VEVENT

CATEGORIES:Business
CATEGORIES:Ethics
CATEGORIES:Human Rights
CATEGORIES:Civic Engagement/Social Action
CATEGORIES:Diversity/Inclusion
CATEGORIES:Humanities
CATEGORIES:Politics
CATEGORIES:Social Sciences
CATEGORIES:Lectures/Conferences
CATEGORIES:Other
CATEGORIES:Utilities
CATEGORIES:Health/Wellness
CATEGORIES:Lecture/Talk
CATEGORIES:Research
CATEGORIES:Reception
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=8a018cb3-8855248a-0189-5105db02-000015d5:Shareef\, 
 Shahrazad
X-BEDEWORK-COST:Free
CREATED:20230327T164554Z
DESCRIPTION:The Samuel DuBois Cook Center on Social Equity invites you to 
 our capstone event for the Spring 2024 Global Inequality Research Initiat
 ive (GIRI) cohort! \n\nIn Spring 2024\, the Global Inequality Research In
 itiative (GIRI) focuses on "Gender and Development". In this course\, stu
 dents are going to examine how gender influences and is influenced by soc
 ial and economic development processes.\n\nThe course will begin by provi
 ding an overview of gender inequalities in various aspects of social and 
 economic life around the world. This will include an exploration of the d
 isparities that exist in areas such as education\, healthcare\, and work.
  Following this\, students will explore the concept of development with a
  specific emphasis on how gender is incorporated into the development dis
 course. We will also study diverse approaches to gender and development a
 nd their evolution over time.\n\nAt this capstone event\, students within
  the Spring 2024 GIRI cohort will present their original research project
 s anchored within topics of gender and development. This event is open to
  the public and free to attend.
DURATION:PT3H
DTSTAMP:20240409T195712Z
DTSTART;TZID=America/New_York:20240417T100000
LAST-MODIFIED:20240409T195712Z
LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28316d13-00000060:LSRC Hall
  of Science
STATUS:CONFIRMED
SUMMARY:Global Inequality Research Initiative (GIRI) Capstone Event
UID:CAL-8a0182b3-870a191e-0187-23f64433-000037eddemobedework@mysite.edu
URL:https://socialequity.duke.edu/global-inequality-research-initiative-gi
 ri-seminar/
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Reception:/user/public-user/
 Other/Reception
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Civic Engagement/Social Acti
 on:/user/public-user/Topics/Civic Engagement_Social Action
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Humanities:/user/public-user
 /Topics/Humanities
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Social Sciences:/user/public
 -user/Topics/Social Sciences
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T
 opics/Research
X-BEDEWORK-LOCATION:TBD
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X-BEDEWORK-IMAGE-ALT-TEXT:banner reading GIRI spring 2024
X-BEDEWORK-SUBMITTEDBY:aeh130 for Samuel DuBois Cook Center on Social Equi
 ty (The Cook Center) (agrp_DukeConsortiumonSocialEquity)
X-BEDEWORK-IMAGE:/public/Images/1712339766921-cb8595e0-39f6-4221-9683-aebb
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Diversity/Inclusion:/user/pu
 blic-user/Topics/Diversity_Inclusion
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Ethics:/user/public-user/Top
 ics/Ethics
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Health_Wellness:/user/public
 -user/Topics/Health_Wellness
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Human Rights:/user/public-us
 er/Topics/Human Rights
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Business:/user/public-user/T
 opics/Business
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Politics:/user/public-user/T
 opics/Politics
END:VEVENT
END:VCALENDAR