Combatting Bias¶
Combatting Bias is an initiative that has created a "bias-aware framework" to support researchers in identifying, describing, and reducing harmful biases in their data. Rather than pursuing the impossible goal of complete bias elimination, this project provides guidelines for researchers to understand and transparently document biases. While predominantly focused on historical data, the framework provides a broad scope for any researcher or user to think about issues of bias in their work.
Bias(ed) Maps created by workshop participants
Combatting Bias Toolkit
The framework provides a broad scope for any researcher or user to think about issues of bias in their work.
Toolkit
Vocabulary
Browse the bias vocabulary to establish a shared terminology across disciplines.
Vocabulary
Dataset Lifecycle
See where and how bias emerges at different stages of dataset creation and use.
LifecycleEthical Commitments
Our mission to reduce harmful bias carries significant responsibility for research integrity and ethics.
Ethical CommitmentsBias(ed) Maps
When many people come together to think about the question what is bias?: an activity in cutting and pasting.
Bias(ed) MapsCombatting Bias is funded by the Dutch Research Council (NWO) via the Thematic Digital Competence Centre Social Sciences & Humanities (TDCC-SSH)
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Combatting Bias is hosted at the Huygens Institute.
