Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons James Zou Microsoft Research New England Kamalika Chaudhuri UCSD

Source URL: crowdml.cc

Dropout Prediction in Crowdsourcing Markets Malay Bhattacharyya Department of Information Technology Indian Institute of Engineering Science and Technology, Shibpur Howrah – 711103, India E-mail: malaybhattacharyya@it.

Source URL: www.humancomputation.com

CrowdBand: An Automated Crowdsourcing Sound Composition System Mary Pietrowicz, Danish Chopra, Amin Sadeghi, Puneet Chandra, Brian P. Bailey, and Karrie Karahalios Department of Computer Science University of Illinois mp

Source URL: social.cs.uiuc.edu

• Human-based computation
• Crowdsourcing
• Social information processing
• Web services
• Amazon Mechanical Turk
• Noise in music
• Electronic music
• Musical composition

  Web-­‐COSI  Final  Conference,  Dec  3  2015,  Paris     “Sta>s>cs  for  Everyone:  Facilita>ng  People’s  Engagement”    

Source URL: www.webcosi.eu

• Economics
• Economy
• Welfare economics
• Economic development
• Social change
• Sustainable development
• Wikiprogress
• Crowdsourcing
• Open data
• Organisation for Economic Co-operation and Development
• CKAN
• Engagement marketing

Trust, but Verify: Predicting Contribution Quality for Knowledge Base Construction and Curation Chun How Tan Eugene Agichtein

Source URL: www.cs.technion.ac.il

• Google Search
• Internet search engines
• Freebase
• Knowledge Graph
• Machine learning
• Statistical classification
• Crowdsourcing
• Information science
• Information retrieval
• Cognition

KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing Xu Chu1∗ John Morcos1∗ Ihab F. Ilyas1∗ Mourad Ouzzani2 Paolo Papotti2 Nan Tang2 Yin Ye2 1 2

Source URL: cs.uwaterloo.ca

COMMUNITYWATCH Fight Crime Effectively Through Crowdsourcing Leverage Technology to Safeguard your Community No longer must public officials be exclusively dependent on eyewitness statements when a

Source URL: www.eastbanctech.com

D6.2.2: Evaluation of Public DIA, HTR & KWS Platforms José Martin (ULCC), Silvia Arango (ULCC), Richard Davis (ULCC), Günter Mühlberger (UIBK), Philip Kahle (UIBK), Sebastian Colutto (UIBK), Tim Causer (UCL), Kris Gri

Source URL: transcriptorium.eu

• Transcription
• Language
• Writing
• Crowdsourcing
• Philosophical literature
• Transcribe Bentham
• University College London
• Medical transcription
• Web portal

Poster_Gebco2015_Crowdsourcing_1.0 [Mode de compatibilité]

Source URL: www.gebco.net

Getting More for Less: Optimized Crowdsourcing with Dynamic Tasks and Goals Ari Kobren∗ Chun How Tan

Source URL: www.cs.technion.ac.il

• Humancomputer interaction
• Education
• Social information processing
• Crowdsourcing
• Educational technology
• Yahoo! Answers
• Adaptation
• Computing