Skip to main content
2022 PRIM&R Annual Conference Main banner
Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.
Presentation Icons
Pre-Reg Required
Pre-Reg Required
CSP Icon
CSP Icon
Livestreaming Session Icon
Livestreaming Session Icon
On-Demand Session
On-Demand Session
CIP Accredited
CIP Accredited
Additional Fee
Additional Fee
CPIA Icon
CPIA Icon
Human Subjects Research
Human Subjects Research
IACUC/Animal Care and Use
IACUC/Animal Care and Use
Crossover
Crossover
Institutional Leadership
Institutional Leadership
Deep Dive Series
Deep Dive Series
Networking Series
Networking Series
Workshop Series
Workshop Series
Vendor Insight Series
Vendor Insight Series
Thought Leader Series
Thought Leader Series
Pillars Icon
Pillars Icon
Poster Icons
Record Session Icon
Record Session Icon
Pre-Reg Required
Pre-Reg Required
New for 2020
New for 2020
Part I/II
Part I/II
CSP Icon
CSP Icon
Livestreaming Session Icon
Livestreaming Session Icon
Prerecorded Session Icon
Prerecorded Session Icon
CIP Accredited
CIP Accredited
Pillars Icon
Pillars Icon
Back

2022 PRIM&R Annual Conference

Research Involving Data and Biospecimens

Emerging Challenges and Breaking Issues

Research Conducted in the Digital World

F05 - Big Data and Novel Technology: Considerations for Privacy and Participant Rights

Thursday, December 15, 2022
11:45 AM – 12:45 PM ET
Location: Livestreamed
Livestreaming Session Icon CIP Accredited Human Subjects Research Deep Dive Series
As technology advances, there is increased usage of apps, website data, and Artificial Intelligence (AI) in research. Big data amplifies risks to privacy, fairness, equality, and due process. As we continue to access more data to obtain modern conveniences, the information collected and for what purposes becomes more ambiguous and less transparent. As data sets continue to transfer hands for various research purposes a person's control over that data decreases. This session will look at how ethics and laws are used to define appropriate uses of big data and novel technologies in research. Additionally, this session will help IRBs weigh the benefits of collecting and processing data against associated risks and build a systematic framework for reviewing these studies.

Learning Objectives:

  • Discuss the regulatory framework on big data, including building a systematic framework for reviewing these studies, ethical considerations, and how well the Common Rule fits the regulatory needs of big health data research
  • Review AI and big data, including US laws, when IRBs can or should require consent for AI data-only research, and the use of facial recognition
  • Outline HRPP/IRB considerations, including assessing the risks vs. benefits of collecting and processing large-scale data collection, ways in which participants can be given more control over their data, educating researchers on how to minimize data breaches, and educating participants
  • Explore practical considerations, including when to consider the IRB for an ethics review (even when it doesn't fit into a research category), and who to engage in these conversations during the review process