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Explore a thought-provoking panel discussion on causality featuring experts from Harvard, UC Berkeley, McGill, and Yale universities. Delve into the complex topic of racial bias and its roots in data analysis, examining the tension between quantitative and qualitative approaches. Gain insights into how this bias manifests in non-Internet data and its implications for research and policy-making. Learn from diverse perspectives as panelists discuss the challenges of accurately representing and interpreting causal relationships in social sciences and beyond.
