INTEL-14: Identifying and Managing Biases in Research, Analysis, and Decision Making


  • Lecture 1: April 9, 1:00-2:00 p.m. ET
  • Lecture 2: April 11, 1:00-2:00 p.m. ET
  • Live Discussion 1: April 13, 1:00-2:00 p.m. ET
  • Open Period for Readings and Forum Discussion: April 16-19
  • Live Discussion 2: April 27, 1:00-2:00 p.m. ET

Cynthia Cheng Correia Knowledge inForm

Sound research, intelligence, and decision making rely on our ability to clearly understand the questions we face and to use neutral approaches and efforts to solve them, but our biases affect what we do. How mindful are we of our biases, and how do they get in the way of our ability to see more—and more clearly?

This course presents introductory concepts and practices about cognitive biases and perceptual distortions that affect our research, analysis, and decision making. Topics covered include the following:

  • How do biases affect our research, product and service recommendation, and management decisions?
  • How do biases affect the way our clients and users think, work, and make decisions?
  • What can we do to help manage biases in ourselves, our teams, and our clients?


At the end of this course, participants will be able to adopt measures to identify and begin managing cognitive biases in their research, analysis, and decision-making efforts and help their work teams address biases. As part of their research, intelligence, and management efforts, participants will be able to take measures toward penetrating biases and assumptions to enhance their own situational awareness and capabilities for foresight.

Lectures and live discussions are conducted as virtual meetings using GoToWebinar.  Review the Attendee Quick Reference Guide for more information.  Please check with your IT department to see if you have authorization to access GoToWebinar.

All online sessions are recorded for additional access during the course.

Member Price: $495*



Non-Member Price: $715*



* A late fee of $50 will be added to your invoice if you register at or after midnight (12:00 a.m. ET) on the first day of the course. Late registration does not guarantee live access to the first course session.

**SLA and the instructors reserve the right to cancel the course if a minimum registration count is not met.

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