Session 1
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8:15-8:30       Set up of posters in the "Espace Flandre"

8:30-8:35       Welcome

8:35-9:05       Talk: "Time-series Modeling of Annotators in Crowdsourced Data Collection"
                Speaker: Matthew Lease, University of Texas, Austin

9:05-9:30       Spotlight presentations for posters
                     Xian Wu: "A Unified Framework for Human-Powered Categorization"
                     Luke Dickens: "Crowdsourced Labels from Multiple Contexts"
                     Alina Beygelzimer: "On Yahoo Answers, Long Answers are Best"
                     Ivan Guz: "Evolution of Content Moderation Approaches for Online Classifieds - From Action Recommendations to Automation"
                     Ramya K. Vinayak: "Clustering by Pairwise Comparisons - Stochastic Block Model for Inference in Crowdsourcing"
                     Nihar Shah: "Estimation from Pairwise Comparisons - Sharp Minimax Bounds with Topology Dependence"
                     James Zou: "Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons"

9:30-10:00      Talk: "Who is Justin Bieber's Brother, and Other Questions - Crowdsourced Content Curation and Semantic Parsing"
                Speaker: Daoud Clarke, Lumi.do

Coffee Break
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10:00-10:30     Coffee and posters

Session 2
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10:30-11:00     Talk:  "Intelligent Control meets Crowdsourcing"
                Speaker: Mausam, Indian Institute of Technology Delhi

11:05-11:55     Talk: "Understanding Upwork's Freelancer and Job search"
                Speaker: Alya Abbott and Ioannis Antonellis, Upwork (Elance-oDesk)

Lunch Break
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12:00-14:00     Group lunch (CrowdML participants who have requested reservation)
                     Restaurant: Brasserie Flore
                     Address: 11 place Rihour 59800 Lille

Session 3
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14:00-14:30     Talk: "Interactive and Deployable Work With Crowds"
                Speaker: Jeffrey P. Bigham, Carnegie Mellon University

14:30-14:45     Spotlight presentations for posters
                     Pranav Rajpurkar: "Driverseat - Crowdstrapping Learning Tasks for Autonomous Driving"
                     Jonathan Bragg: "Learning on the Job - Optimal Instruction for Crowdsourcing"
                     Mehdi Sajjadi: "Peer Grading in a Course on Algorithms and Data Structures"
                     Pushkar Kolhe: "Personalized Exams and Learning in Massive Open Online Courses"

14:45-15:15     Talk: "Veri.ly: Crowdsourcing Fact-Checking"
                Speaker: Victor Naroditskiy, OneMarketData

15:15-15:30     Spotlight presentations for posters
                     Christopher Lin: "Reactive Learning - Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones"
                     Jens Witkowski: "Forecast Aggregation using Imputed Accuracy"
                     Shreya Rajpal: "POMDP-Based Worker Pool Selection for Crowdsourcing"
                     Aaron Michelony: "Predicting Bad Job Outcomes in Online Workplaces"

15:30-16:00     Talk: "How to Achieve Good Quality of Service under Budget Constraints in Crowdsourcing Systems"
                Speaker: Long Tran-Thanh, University of Southampton

Coffee Break
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16:00-16:30     Coffee and Posters

Session 4
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16:30-17:00     Talk: "Efficient Crowdsourcing at Facebook - The Thousand-Coin Model"
                Speaker: Julian Eisenschlos, Facebook's Crowdsourcing Team

17:00-18:00     Posters