8:45 am - 9:00 am


9:00 am - 9:30 am




9:30 am - 9:45 am



9:45 am - 10:00 am



10:00 am - 10:15 am



10:15 am - 10:30 am



10:30 am -- 11:15 am
































11:15 am - 11:30 am



11:30 am -- 11:45 am



11:45 am -- 12:00 pm





12:00 pm - 12:15 pm



12:15 pm - 12:30 pm



12:30 pm - 2:00 pm


2:00 pm - 2:30 pm




2:30 pm - 2:45 pm



2:45 pm - 3:00 pm




3:00 pm - 3:15 pm



3:15 pm - 3:30 pm



3:30 pm - 4:15 pm































4:15 pm - 4:30 pm



4:30 pm - 4:45 pm



4:45 pm - 5:00 pm




5:00 pm - 5:30 pm


5:30 pm - 5:45 pm


7:30 pm - onward

Opening


Invited Talk: Eric Horvitz


SESSION 1: AI / Machine Learning


Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds

Sudheendra Vijayanarasimhan, Kristen Grauman (UT Austin)


Robust Active Learning using Crowdsourced Annotations for Activity Recognition

Liyue Zhao, Gita Sukthankar (UCF); Rahul Sukthankar (Google Research/CMU)


Beat the Machine: Challenging workers to find the unknown unknowns

Josh Attenberg, Panos Ipeirotis, Foster Provost (NYU)


Human Intelligence Needs Artificial Intelligence

Daniel Weld, Mausam, Peng Dai (University of Washington)


Coffee Break / Poster Session 1


Towards Task Recommendation in Micro-Task Markets

Vamsi Ambati, Stephan Vogel, Jaime Carbonell (CMU)


On Quality Control and Machine Learning in Crowdsourcing

Matthew Lease (UT Austin)


CollabMap: Augmenting Maps using the Wisdom of Crowds

Ruben Stranders, Sarvapali Ramchurn, Bing Shi, Nicholas Jennings (University of Southampton)


Improving Consensus Accuracy via Z-score and Weighted Voting

Hyun Joon Jung, Matthew Lease (UT Austin)


Making Searchable Melodies: Human vs. Machine

Mark Cartwright, Zafar Rafii, Jinyu Han, Bryan Pardo (Northwestern University)


PulaCloud: Using Human Computation to Enable Development at the Bottom of the Economic Ladder

Andrew Schriner (University of Cincinnati); Daniel Oerther (Missouri University of Science and Technology); James Uber (University of Cincinnati)


Towards Large-Scale Processing of Simple Tasks with Mechanical Turk

Paul Wais, Shivaram Lingamneni, Duncan Cook, Jason Fennell, Benjamin Goldenberg, Daniel Lubarov, David Marin, Hari Simons (Yelp, inc.)


Learning to Rank From a Noisy Crowd

Abhimanu  Kumar, Matthew Lease (UT Austin)


SESSION 2: The “Humans” in the Loop


Worker Motivation in Crowdsourcing and Human Computation

Nicolas Kaufmann; Thimo Schulze (University of Mannheim)


Honesty in an Online Labor Market

Winter Mason, Siddharth Suri, Daniel Goldstein (Yahoo! Research)


Building a Persistent Workforce on Mechanical Turk for Multilingual Data Collection

David Chen (UT Austin); William Dolan (Microsoft Research)


SESSION 3: Tools / Applications


CrowdSight: Rapidly Prototyping Intelligent Visual Processing Apps

Mario Rodriguez (UCSC); James Davis


Digitalkoot: Making Old Archives Accessible Using Crowdsourcing

Otto Chrons, Sami Sundell (Microtask)


LUNCH


Invited Talk: Jenn Wortman Vaughan


SESSION 4: Quality Control


Error Detection and Correction in Human Computation: Lessons from the WPA

David Alan Grier (GWU)


Programmatic gold: targeted and scalable quality assurance in crowdsourcing

Dave Oleson, Vaughn Hester, Alex Sorokin, Greg Laughlin, John Le, Lukas Biewald (CrowdFlower)


An Iterative Dual Pathway Structure for Speech-to-Text Transcription

Beatrice Liem, Haoqi Zhang, Yiling Chen (Harvard University)

An Extendable Toolkit for Managing Quality of Human-based Electronic Services

David Bermbach, Robert Kern, Pascal Wichmann, Sandra Rath, Christian Zirpins (KIT)


Coffee Break / Poster Session 2


Developing Scripts to Teach Social Skills: Can the Crowd Assist the Author?

Fatima Boujarwah, Jennifer Kim, Gregory Abowd, Rosa Arriaga (Georgia Tech)


CrowdLang - First Steps Towards Programmable Human Computers for General Computation

Patrick Minder, Abraham Bernstein (University of Zurich)


Ranking Images on Semantic Attributes using CollaboRank

Jeroen Janssens, Eric Postma, Jaap Van den Herik (Tilburg University)


Artificial Intelligence for Artificial Artificial Intelligence

Peng Dai, Mausam, Daniel Weld (University of Washington)


One Step beyond Independent Agreement: A Tournament Selection Approach for Quality Assurance of Human Computation Tasks

Yu-An Sun, Shourya Roy (Xerox); Greg Little (MIT CSAIL)


Turkomatic: Automatic, Recursive Task and Workflow Design for Mechanical Turk

Anand Kulkarni, Matthew Can, Bjoern Hartmann (UC Berkeley)


MuSweeper: Collect Mutual Exclusions with Extensive Game

Tao-Hsuan Chang, Cheng-wei Chan, Jane Yung-jen Hsu (National Taiwan University)


MobileWorks: A Mobile Crowdsourcing Platform for Workers  at the Bottom of the Pyramid

Prayag Narula, Philipp Gutheim, David Rolnitzky, Anand Kulkarni, Bjoern Hartmann (UC Berkeley)


SESSION 5: Pricing and Allocation


What’s the Right Price? Pricing Tasks for Finishing on Time

Siamak Faridani, Bjoern Hartmann (UC Berkeley); Panos Ipeirotis (NYU)


Pricing Mechanisms for Online Labor Market

Yaron Singer, Manas Mittal (UC Berkeley EECS)


Labor Allocation in Paid Crowdsourcing: Experimental Evidence on Positioning, Nudges and Prices

John Horton (ODesk); Dana Chandler (MIT)


SESSION 6: Discussions


Closing Remarks


Workshop Dinner