Log In
Contact Us

PRIM&R Webinar

Doing it Right: Consent and Compensation in Crowdsourced Data Collection

Purchase Recording

Overview

After the introduction of Mechanical Turk (MTurk) as a human computation work platform, the use of crowdsourcing for data collection in research rose significantly, especially in the psychological sciences. With the increased use of platforms such as MTurk came questions regarding the price of human labor vis-à-vis compensation to research subjects and implications for “voluntary informed consent.” In both preparatory work and research participation, does incomplete disclosure meet the requirements and standards for informed consent? This webinar provides an overview of the history of the use of crowdsourcing for research data collection, addresses issues of identifiability and representativeness of MTurk workers, and describes techniques that have been developed to ensure both meaningful consent as well as mechanisms for ensuring that MTurk workers get compensated for their participation even if they were to withdraw from the study.

Cost

Members: $100 Nonmembers: $190

What Will I Learn?

  • Present a history of the use of crowdsourcing using platforms such as MTurk
  • Understand the use of this platform for research data collection
  • Examine themes of identifiability, representativeness, and consent when crowdsourcing data collection

Audience

  • Ideal for IRB administrators and members, researchers.

Credits Offered

CE Credit
Participants will receive a certificate of attendance that documents up to 1.5 continuing education credit hours for their attendance at this webinar. Certificates of attendance are useful for obtaining CE credits from professional associations. Each association's guidelines for accepting CE credit hours (in-person or virtual) may differ. Please consult the appropriate association representative for information on if, and how many, CE credits from this PRIM&R webinar may be used.
CIP Credit
Course participants who hold the Certified IRB Professional (CIP®) credential may apply 1.5 continuing education credits towards CIP® recertification credit for this PRIM&R webinar. Please refer to the CIP® recertification guidelines for additional information.

Mary L. Gray, PhD

Senior Principal Researcher at Microsoft Research and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society.
Mary L. Gray is Senior Principal Researcher at Microsoft Research and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society. Mary earned her PhD in Communication from the University of California at San Diego in 2004, under the direction of Susan Leigh Star. In 2020, Mary was named a MacArthur Fellow for her contributions to anthropology and the study of technology, digital economies, and society.
Mary chairs the Microsoft Research Ethics Review Program—the only federally-registered institutional review board of its kind in Tech. She is recognized as a leading expert in the emerging field of AI and ethics, particularly research at the intersections of computer and social sciences. She sits on the editorial boards of Cultural Anthropology, Television and New Media, the International Journal of Communication, and Social Media + Society. Mary’s research has been covered by popular press venues, including The Guardian, El Pais, The New York Times, The Los Angeles Times, Nature, The Economist, Harvard Business Review, The Chronicle of Higher Education, and Forbes Magazine. She served on the Executive Board of the American Anthropological Association and was the Association’s Section Assembly Convenor from 2006-2010 as well as the co-chair of the Association’s 113th Annual Meeting. Mary currently sits on several boards, including the California Governor’s Council of Economic Advisors, Public Responsibility in Medicine and Research (PRIM&R), and Stanford University’s One-Hundred-Year Study on Artificial Intelligence (AI100) Standing Committee, commissioned to reflect on the future of AI and recommend directions for its policy implications.