Rewarding Crowdsourced Workers

Jun, 2013    ICML ’13 Workshop: Machine Learning Meets Crowdsourcing

Replicability and Reproducibility in Crowdsourcing & Social Media

May, 2013    Workshop on Reproducibility in Science

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Nov, 2012    Facebook

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Nov, 2012    Google, San Francisco Office, Knowledge Graph team

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Nov, 2012    Boston University, School of Management

Humanities and Technology Unite

Oct, 2012    Museum of the City of New York

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Aug, 2012    CRISSP Summer Workshop 2012, NYU Poly, New York, NY

Crowdsourcing: Achieving Data Quality with imperfect Humans

Oct, 2012    Computer Science Department, University of Washington, WA

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Oct, 2012    Stanford University, HCI Group, Palo Alto, CA

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Oct, 2012    Carlson School of Management - University of Minnesota

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Sep, 2012    Tepper School of Business, Carnegie Mellon University

The Market for Intellect (What should I learn next? Discovering economically-rewarding education paths)

Jul, 2012    Crowdsourcing Personalized Online Education

Crowdsourcing: Achieving Data Quality with Imperfect Humans

Sep, 2012    Tech talk at LinkedIn, Mountain View, CA

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Jun, 2012    Keynote at SC-UGC Workshop at ACM EC'12, Valencia, Spain

On Mice and Men: The Role of Biology in Crowdsourcing

Apr, 2012    Keynote talk at Collective Intelligence 2012, Cambridge, MA

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Mar, 2012    Google Research, Mountain View, CA

MSIS Departmental Colloquium

Feb, 2012    Rutgers Business School

Crowdsourcing, Quality Management, and Scalability

Feb, 2012    Stanford University, Computer Science Department, InfoSeminar

Opinion Mining Using Econometrics

Jan, 2009    New York University, Computer Science Department

The EconoMining Project at NYU

Jan, 2009    New York Semantic Web Meetup

Opinion Mining Using Econometrics

Feb, 2009    Carnegie Mellon University

Collective Intelligence and the Role of Human Computation

Dec, 2010    National Academy of Sciences Frontiers of Science

Get Another Label? Improving Data Quality and Machine Learning using Multiple, Noisy Labelers

Feb, 2011    John Hopkins University, Computer Science Department

Seminar

 

Managing Crowdsourced Human Computation: A Tutorial

Mar, 2011    WWW 2011

Tutorial

Crowdsourcing and Human Computation: The Need for Standardization in Crowdsourcing

May, 2011    CHI 2011

Towards a Theory Model for Product Search

Feb, 2012    New York University, Computer Science Department

Machine Learning Seminar

NSF Workshop on Social Networks and Mobility in the Cloud

Feb, 2012

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Feb, 2011    Crowdsourcing and Data Mining, Workshop at WSDM 2011

Keynote Talk

Towards a Theory Model for Product Search

Dec, 2011    Google Research, New York

Quality Assurance in Crowdsourcing and Connections with Machine Learning

Dec, 2011    Massachusetts Institute of Technology

HCI Seminar

Quality Assurance and Connections with Machine Learning

Dec, 2011    Second Workshop on Computational Social Science and the Wisdom of Crowds at NIPS 2011

Invited Talk

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Nov, 2011    Harvard University, Computer Science Department

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Nov, 2011    Northeastern University, Computer Science Department

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Oct, 2011    Fall 2011 DB/IR Day

Keynote Talk

Big Data, Stupid Decisions

Sep, 2011    Strata Jumpstart 2011

Invited Talk

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Sep, 2011    IBM T.J. Watson Research, Hawthorne, NY

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Apr, 2011    Athens University of Economics and Business, Informatics Department

Seminar

 

The Computer is the New Sewing Machine: Benefits and Perils of Crowdsourcing

Apr, 2011    WWW 2011

Panel

A Crowdsourcing Case Study, AdSafe Media

Apr, 2011    NYC Crowdsourcing Meetup

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Mar, 2011    Information Integration on the Web Workshop at WWW2011

Keynote Talk

Get Another Label? Improving Data Quality and Machine Learning Using Multiple, Noisy Labelers

Feb, 2011    New York University, Computer Science Department

Machine Learning Seminar

Crowdsourcing Using Mechanical Turk: Quality Management and Scalability

Feb, 2011    The Ladders, New York, NY

When You Need Lots of Eyes, Try Mechanical Turk: Finding lost hikers to data entry

Feb, 2011    National Institute for Computer-Assisted Reporting (NICAR)

Invited Talk

Get Another Label? Improving Data Quality and Machine Learning Using Multiple, Noisy Labelers

Jan, 2011    Carnegie Mellon University, Language Technologies Institute

Analyzing User-Generated Content Using Econometrics

Jan, 2011    University of Pittsburgh, Computer Science Department

Database Seminar

Analyzing User Generated Content using Econometrics

Nov, 2010    Fordham University, Computer Science Department

Get Another Label? Using Multiple Noisy Labelers for Data Mining

Nov, 2010    University of Massachusetts-Amherst, Computer Science Department

Crowdsourcing: Quality Assurance and Scalability

May, 2010    Rose Tech Ventures

Crowdsourcing for Data Collection and Cleaning

Apr, 2010    ProPublica

Analyzing User Generated Content using Econometrics

Jan, 2010    Xerox PARC

Spam? No Thanks! Detecting Spam and Biases of Amazon Mechanical Turk Workers

Jan, 2010    "Crowdsourcing Work" San Francisco Meetup

Analyzing User Generated Content using Econometrics

Jan, 2010    Microsoft Research Silicon Valley

Improving Data Quality and Data Mining Using Multiple, Noisy Labelers

Jan, 2010    FXPal

Text Mining of Electronic News Content for Economic Research

Oct, 2009    NYU Library

Improving Data Quality and Data Mining Using Multiple, Noisy Labelers

Jul, 2009    A9.com, Palo Alto, CA

The EconoMining Project at NYU

Mar, 2009    New York Tech Meetup

Improving Data Quality and Data Mining Using Multiple, Noisy Labelers

Mar, 2009    IBM Watson Research Center

Text Mining of Electronic News Content for Economic Research, (Forum “On the Record”: On Electronic Media and the Preservation of News)

Oct, 2008    New York Public Library

Opinion Mining Using Econometrics

Nov, 2008    University of Waterloo, CA

Improving Data Quality and Data Mining Using Multiple, Noisy Labelers

Jun, 2008    Yahoo! Research, Santa Clara, CA

Opinion Mining Using Econometrics: A Case Study on Reputation Systems

Dec, 2007    Microsoft Research Cambridge

Opinion Mining Using Econometrics: A Case Study on Reputation Systems

Jul, 2007    AT&T Labs

Opinion Mining Using Econometrics: A Case Study on Reputation Systems

Jul, 2007    Microsoft Live Labs Faculty Summit

Hiroshima, Japan: Towards a Query Optimizer for Text-Centric Tasks

Mar, 2007    18th IEICE Data Engineering Workshop (DEWS)

Invited Talk

Opinion Mining Using Econometrics: A Case Study on Reputation Systems

Feb, 2007    Columbia University

Opinion Mining Using Econometrics: A Case Study on Reputation Systems

Sep, 2006    Polytechnic University

Opinion Mining Using Econometrics: A Case Study on Reputation Systems

Jul, 2006    Microsoft Research

Classifying and Searching Hidden-Web Databases

Dec, 2005    Athens University of Economics and Business

Classifying and Searching Hidden-Web Databases

Oct, 2005    New Jersey Institute of Technology

Classifying and Searching Hidden-Web Databases

Nov, 2004    University of Toronto

QProber: Classifying and Searching Hidden-Web Databases

Jun, 2004    University of Thessaly, Greece

QProber: Classifying and Searching Hidden-Web Databases

Apr, 2004    Purdue University; University of California, Los Angeles; University of Massachusetts, Amherst

Job Talk

QProber: Classifying and Searching Hidden-Web Databases

Mar, 2004    University of British Columbia, Canada; University of Maryland

Job Talk

QProber: Classifying and Searching Hidden-Web Databases

Feb, 2004    New York University

Job Talk

New Frontiers in Data Mining: Probe, Count, and Classify: Categorizing Hidden-Web Databases

Aug, 2001    DIMACS Summer School Tutorial