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Related lectures (8)
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Meta-Analysis in Scientific Teaching
Explores the role of interaction in teaching and the strengths and weaknesses of meta-analysis in scientific research.
Designing Experiments and Measuring Learning
Explores experimental design challenges in social sciences, emphasizing hypothesis formulation, variable control, and bias mitigation.
Understanding Statistics & Experimental Design
Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.
Data Issues in Research
Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Red Influence: Attractiveness, Desirability, and Status
Explores the effects of red on attractiveness, desirability, and status, emphasizing statistical analysis and the challenges of replication and publication bias.
Fairness in Algorithmic Decision-Making
Delves into the challenges of ensuring fairness in algorithmic decision-making processes, addressing biases and historical injustices in data.
Data Governance in Urban Settings
Explores data quality, biases in data, and the importance of good governance practices in urban data settings.
Ethics in NLP
Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.