How does Nuria Oliver use data for social good?
I apply a systematic, evidence-based method: first, define a clear societal problem—like epidemic tracking or urban congestion—then identify relevant, anonymized data sources, such as mobile phone records. I design computational models that capture human behavior while embedding privacy safeguards, like aggregation and noise injection. For example, during the COVID-19 pandemic, my team used anonymized mobility data to model lockdown effectiveness and predict hospital demand, sharing insights with health authorities. The approach always includes ethical review and stakeholder engagement to ensure the data serves people, not surveillance. This method has influenced policy in Spain and beyond, showing how data can drive equitable solutions.
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