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  • Looking for Main Conference Tracks?

For information about submitting to Main Conference tracks at HCOMP 2016, please visit the Submit page.

For information about the Industry & Practice Track, please visit the Industry & Practice page.

Partipcation opportunities listed on this page include:

Date

Sunday, October 30, 2016, 3-6pm

Overview

This tutorial will synthesize and summarize insights from the recently published book entitled "Crowdsourced Data Management: Industry and Academic Perspectives." (Amazon link) The aims of the book and the tutorial are to narrow the gap between academics and practitioners.

Visit the event's webpage to learn more about it.

Presenters

Aditya Parameswaran

University of Illinois at Urbana-Champagne


Date

Sunday, October 30th, 2016 (full-day)

Overview

The Doctoral Consortium provides doctoral students with a unique opportunity to meet each other and experienced researchers in the field. Students will be mentored by a group of faculty who are leaders in the diverse specialties that make up the HCOMP field.

Visit the event's webpage to learn more about it.

Co-Chairs

Edith Law

University of Waterloo


Haoqi Zhang

Northwestern University


Date

CrowdCamp 2016 will open with a social evening Wednesday, November 2, 2016. followed by a full-day workshop on Thursday, November 3, 2016.

Overview

CrowdCamp is a recurring HCOMP workshop which brings together human computation and crowdsourcing researchers and industry practitioners for collective work to develop new ideas into concrete outputs: in-depth thoughts on hard problems, paper or coded prototypes, experiment design and data mining. We will discuss future visions and make tangible headway on those visions, as well as seeding collaboration. The outputs from discussion, brainstorming, and building will persist after the workshop for attendees and the community to view.

Visit the event's webpage to learn more about it.

Organizers

Adam Tauman Kalai

Microsoft Research


Markus Krause

UC Berkeley ICSI &
Leibniz University Hannover


Date

Thursday, November 3, 2016 (full-day workshop).

Overview

This workshop aims to promote greater interaction between the diversity of researchers and practitioners who examine how to mix human and computer efforts to convert visual data into discoveries and innovations that benefit society at large. It will foster in-depth discussion of technical and application issues for how to engage humans with computers to optimize cost/quality trade-offs. It will also serve as an introduction to researchers and students curious about this important, emerging field at the intersection of crowdsourced human computation and image/video analysis.

Visit the event's webpage to learn more about it.

Organizing & Steering Committee

Serge Belongie

Cornell University


Steve Branson

CalTech


Danna Gurari

University of Texas at Austin


James Hays

Georgia Tech


Genevieve Patterson

Brown University / MSR New England


Pietro Perona

CalTech


Date

Thursday, November 3, 2016 (full-day workshop).

Overview

This workshop will bring together researchers across disciplines to discuss the future of research on the mathematical foundations of human computation, with particular emphasis on the ways in which theorists can learn from the existing empirical literature on human computation and the ways in which applied and empirical work on human computation can benefit from mathematical foundations.

Visit the event's webpage to learn more about it.

Organizers

Shuchi Chawla

University of Wisconsin - Madison


Chien-Ju Ho

Cornell University


Michael Kearns

University of Pennsylvania


Jenn Wortman Vaughan

Microsoft Research


Santosh Vempala

Georgia Tech