Research Abstracts

CrowdConf will bring together academic and industrial researchers, technologists, outsourcing entrepreneurs, and artists to discuss how crowdsourcing is transforming human computation and the future of work. As the premier industrial conference for crowdsourcing, CrowdConf offers researchers an opportunity to network with personnel from the platforms we use, to see what features are coming down the pipe and to influence them, fantastic media exposure from tech journalists, and the usual opportunities to network with other researchers.

2023 Sessions and Posters have been selected!
View the Agenda or learn more about the Abstracts & Posters that will be presented at CrowdConf below.

Posters will be on display in the CrowdConf expo hall throughout the day. During lunch and the end-of-day beer and wine reception, authors will be on hand to present and discuss their material. Follow the links to published abstracts:

Using Crowdsourcing to Generate an Evaluation Dataset for Name Matching Technologies
Alya Asarina | Technical Staff, MIT Lincoln Laboratory
Dr. Olga Simek | Technical Staff, MIT Lincoln Laboratory
Crowdsourcing Multi-Label Classification
Jonathan Bragg | PhD Student in Computer Science & Engineering, University of Washington
Mausam | University of Washington/IIT Delhi
Daniel S. Weld | Thomas J. Cable / WRF Professor of Computer Science & Engineering, University of Washington
The Ordinator: More Effective Distributed Scale Creation and Validation
Jeff Elmore | Senior Research Engineer, MetaMetrics
Steven Michael Lattanzio II | Research Engineer, MetaMetrics
Visualization and Statistical Tools and Judge Quality Metrics for Crowd-Sourced Machine Learning Data Generation
Siamak Faridani | Applied Researcher, Microsoft
Georg Buscher | Applied Researcher, Microsoft Bing
Johnny Ferguson | Program Manager Bing Whole Page Relevance, Microsoft
Raising an Army: Attacking Crowd Systems
Walter Lasecki | Doctoral Candidate, University of Rochester
Ece Kamar,Ph.D. | Researcher, Microsoft Research
Jaime Teevan, Ph.D. | Senior Researcher, Microsoft Research
CrowdCode: A Platform for Crowd Development
Thomas D. Latoza | Asst. Project Scientist, Department of Informatics – University of California, Irvine
Eric Chiquillo | Software Developer, Zynga
W. Ben Towne | PhD Candidate, Carnegie Mellon University
Christian Adriano | PhD Student, University of California Irvine – Donald Bren School
André van der Hoek | Professor and Chair, Department of Informatics – University of California, Irvine
What Cloud Labor Teaches Us About the Future of Work and Society
Vili Lehdonvirta | Research Fellow, Oxford Internet Institute, University of Oxford
Paul Mezier| Fellow, Innovation Co-Creation Lab (London School of Economics
Programming Self-Optimizing Workflows for Crowdsourcing – A Status Report
Christopher Lin | PhD Student, University of Washington
Mausam | University of Washington/IIT Delhi
Daniel S. Weld | Thomas J. Cable / WRF Professor of Computer Science & Engineering, University of Washington
Managing the Human Cloud
Tim Olsen | W.P. Carey School of Business, Arizona State University
Enabling Expert Crowdsourcing with Flash Teams
Daniela Retelny | PhD Student, Department of Management Science & Engineering, Stanford University
Sébastien Robaszkiewicz | Researcher, Stanford HCI Group , Stanford University
Alexandra To | Research Assistant, Stanford HCI Group, Stanford University
Michael Bernstein | Assistant Professor, Computer Science Department, Stanford University
Error-Correcting Codes allow Privacy and Quality Assurance in Crowdsourcing
Aditya Vempaty | Graduate Research Assistant, Syracuse University
Lav R. Varshney | Research Staff Member, IBM Thomas J. Watson Research Center
Pramod K. Varshney | Distinguished Professor, Syracuse University
Submissions are closed for CrowdConf 2023. Read below if you are interested in the process and protocol used.

Research Topics of Interest
We have accepted submissions of short, non-archival research abstracts on crowdsourcing, human computation, and social computing. Topics of interest include, but are not limited to the following:

Past, present, and future of crowdsourcing
Quality assurance and metrics
Social and economic implications of crowdsourcing
Task design/Worker incentives
Innovative projects, experiments, and applications
How to Submit
Please note that submissions are now closed for CrowdConf 2023.
All submissions must include:

Author name(s), affiliation(s), and email address(es) (submissions should not be anonymized)
Abstract text (up to 500 words) Note: references/citations are *not* included in the word count
Previously published work is acceptable, but please include in your abstract a note such as “This abstract summarizes other work previously published as [cite]“. PDF format is required, though no specific template is required for document layout. Abstracts must be submitted via EasyChair using this link for (single-blind) peer-review by the Program Committee. First time users must create a free account with Easy Chair. If the author wishes to present a demonstration or has any unusual space or technological needs, that should be noted within the abstract text.

What to Expect
Each author of an accepted abstract will receive two complimentary conference registrations. Most accepted authors will be asked to present posters (posters will be on display in a high-traffic area all day, and there will be a dedicated session for presentation with hors d’oeuvres). A smaller number of authors will be offered high-profile speaking slots (individual or as part of a research panel).

There will also be discount registration rates for non-presenting faculty and students; it should be a great event for both presenters and attendees!

Important Dates
Deadline for abstract submissions: August 15, 2023
Notification of acceptance: September 9, 2023
CrowdConf 2023 in San Francisco, CA: October 22, 2023

Research Program co-chairs
Paul Bennett, Microsoft Research
Matthew Lease, University of Texas at Austin

Program Committee
Omar Alonso, Microsoft
Serge Belongie, University of California, San Diego
Bob Carpenter, Alias-i, Inc.
Lydia Chilton, University of Washington
James Davis, University of California, Santa Cruz
Michael Franklin, University of California, Berkeley
Krzysztof Gajos, Harvard University
Ece Kamar, Microsoft Research
Aniket Kittur, Carnegie Mellon University
Anand Kulkarni, MobileWorks
Greg Little, oDesk
Praveen Paritosh, Google
Burr Settles, Duolingo
Aaron Shaw, Northwestern Unviersity
Alexander Sorokin, CrowdFlower
Mark Steyvers, University of California, Irvine
Siddharth Suri, Microsoft Research

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