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DTSTART;TZID=America/Los_Angeles:20190128T150000
DTEND;TZID=America/Los_Angeles:20190128T163000
DTSTAMP:20260805T112414
CREATED:20190111T225128Z
LAST-MODIFIED:20220425T155305Z
UID:10000523-1548687600-1548693000@ccpr.ucla.edu
SUMMARY:Lars Vilhuber\, Cornell University
DESCRIPTION:Prof. Lars Vilhuber\, Cornell University “Replication and Reproducibility in Social Sciences and Statistics: Context\, Concerns\, and Concrete Measures” \nAbstract: Replicability is at the core of the scientific enterprise. In the past 30 years\, recurring concerns about the extent of replicability  (or lack thereof) of the research in various disciplines have surfaced\, including in economics. In this talk\, I describe the context in which the current discussion in the social science is occurring: what are the definitions of replicability and reproducibility\, what is failing\, and to what extent. I discuss the currents state in economics as an example: to what extent is this a problem\, what are the approaches that are being considered\, and what are the possible broader implications of those approaches. Finally\, I discuss the concrete measures that are being implemented under my guidance at the American Economic Association\, and that are being discussed in the broader social science community. The solutions to these problems will change the way research will be taught and conducted\, in economics in particular\, and in the social sciences more broadly. The implications affect undergraduate and graduate teaching\, research infrastructure\, and habits. \n 
URL:https://ccpr.ucla.edu/event/lars-vilhuber-cornell-university/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Conference,CCPR Workshop,Divisional Publish,Other Conferences
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/01/lv39-1.jpg
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DTSTART;TZID=America/Los_Angeles:20190131T140000
DTEND;TZID=America/Los_Angeles:20190131T150000
DTSTAMP:20260805T112414
CREATED:20190115T221438Z
LAST-MODIFIED:20210424T031350Z
UID:10000524-1548943200-1548946800@ccpr.ucla.edu
SUMMARY:Workshop: Merging Entities - Deterministic\, Approximate\, & Probabilistic
DESCRIPTION:Instructor:\nMichael Tzen \nTitle:\nMerging Entities: Deterministic\, Approximate\, & Probabilistic \nLocation:\nJanuary 31\, 2019\, 2:00-3:00 PM\n4240 Public Affairs Building\nCCPR Seminar Room \nContent:\nCombining information from different groups is a fundamental procedure in the data analysis pipeline. Using NBA and NCAA data\, we will walk through deterministic\, approximate\, and probabilistic methods to merge entities from the different data sources. Is Luc Richard Mbah a Moute playing in the NBA the same Luc Mbah a Moute who played for the University of California\, Los Angeles? We’ll discuss how the probabilistic methods loosely relate to matching in causal analysis. After this workshop\, participants should be able to merge data sets 3 different ways and think about how the merge quality may affect downstream analysis. \nPlease RSVP below \nhttps://goo.gl/forms/XiuYjqjkcD0WnHov2 \nslides rscript
URL:https://ccpr.ucla.edu/event/workshop-merging-entities/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Workshop,CSS Events,Divisional Publish
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