ETHICS
Navigate competing ethical claims inherent to liquid societies.
Liquid Society / Modernity by Zygmunt Bauman; who are creators of sophisticated analytical systems responsible to in a global, fragmented and liquid society? Ethics is a framework for answering questions where everyone is “indignant”.
Example: sexual harassment training in Saudi Arabia; Union Carbide in Bhopal; cf Relativism, Subjectivism and Virtue Ethics.
CURATION
Resolve and integrate the technical implications for data curation in multiple jurisdictions.
Maintaining data, methods, evidence, and systems in compliance with multi-jurisdictional activity;
Example: EU hate-speech laws aimed at Twitter / Facebook. GDPR in EU, China Great Firewall.
ANALYSIS
Evaluate causality in analysis, and gain insight into genetic algorithms.
Causality, and intro to meta-analysis; intro to genetic algorithms;
PRESENTATION
Present proportions and decisions as probability trees.
Decisions trees, predictions, and tree diagrams.
CASE STUDY
Randomised control trial; treatment / control data to assess causality;
Dataverse: use of low cost Android tablets to train community health workers.
ETHICS
Navigate competing ethical claims inherent to liquid societies.
Liquid Society / Modernity by Zygmunt Bauman; who are creators of sophisticated analytical systems responsible to in a global, fragmented and liquid society? Ethics is a framework for answering questions where everyone is “indignant”.
Example: sexual harassment training in Saudi Arabia; Union Carbide in Bhopal; cf Relativism, Subjectivism and Virtue Ethics.
CURATION
Resolve and integrate the technical implications for data curation in multiple jurisdictions.
Maintaining data, methods, evidence, and systems in compliance with multi-jurisdictional activity;
Example: EU hate-speech laws aimed at Twitter / Facebook. GDPR in EU, China Great Firewall.
ANALYSIS
Evaluate causality in analysis, and gain insight into genetic algorithms.
Causality, and intro to meta-analysis; intro to genetic algorithms;
PRESENTATION
Present proportions and decisions as probability trees.
Decisions trees, predictions, and tree diagrams.
CASE STUDY
Randomised control trial; treatment / control data to assess causality;
Dataverse: use of low cost Android tablets to train community health workers.