Equity in research and practice: quick overview of the BIAS FREE framework
Update: 2025-03-11
Description
# The BIAS FREE Framework: A 15-Minute Introduction to Tackling Inequities
Learn more about the Geneva Learning Foundation’s Certificate peer learning programme for equity in research and practice: https://www.learning.foundation/bias
This podcast offers a concise 15-minute overview of the BIAS FREE Framework, a practical analytical tool for identifying hidden biases in information. Developed by Mary-Anne Burke and Margaret Eichler, the framework provides a structured approach to recognizing how social hierarchies influence research, policy, and practice.
The hosts efficiently break down the framework's three key components: Maintaining Hierarchy (H), Failing to Examine Differences (F), and Using Double Standards (D). Through examples from healthcare research and education, listeners quickly grasp how these biases operate in real-world settings.
What distinguishes this framework is its intersectional approach—unlike tools that focus solely on gender, disability, or ethnic bias in isolation, the BIAS FREE Framework examines how multiple factors work together. This makes it valuable for diverse practitioners including healthcare professionals, researchers, policymakers, and program managers who need to address complex inequities.
The podcast highlights how the framework can be immediately applied to improve effectiveness in various contexts: researchers can strengthen methodology, healthcare providers can enhance patient care, and policymakers can create more inclusive approaches. For time-pressed professionals looking for practical ways to address biases in their work, this podcast provides a valuable introduction to a versatile tool that can help create more equitable systems.
Learn more about the Geneva Learning Foundation’s Certificate peer learning programme for equity in research and practice: https://www.learning.foundation/bias
This podcast offers a concise 15-minute overview of the BIAS FREE Framework, a practical analytical tool for identifying hidden biases in information. Developed by Mary-Anne Burke and Margaret Eichler, the framework provides a structured approach to recognizing how social hierarchies influence research, policy, and practice.
The hosts efficiently break down the framework's three key components: Maintaining Hierarchy (H), Failing to Examine Differences (F), and Using Double Standards (D). Through examples from healthcare research and education, listeners quickly grasp how these biases operate in real-world settings.
What distinguishes this framework is its intersectional approach—unlike tools that focus solely on gender, disability, or ethnic bias in isolation, the BIAS FREE Framework examines how multiple factors work together. This makes it valuable for diverse practitioners including healthcare professionals, researchers, policymakers, and program managers who need to address complex inequities.
The podcast highlights how the framework can be immediately applied to improve effectiveness in various contexts: researchers can strengthen methodology, healthcare providers can enhance patient care, and policymakers can create more inclusive approaches. For time-pressed professionals looking for practical ways to address biases in their work, this podcast provides a valuable introduction to a versatile tool that can help create more equitable systems.
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