Learn data-driven methods for managing pandemics, including policy making, crowdsourcing, and financial impact analysis.
Learn data-driven methods for managing pandemics, including policy making, crowdsourcing, and financial impact analysis.
This course offers insights into data-driven approaches for managing pandemics, focusing on COVID-19. It covers policy making, technology governance, data collection methods, crowd monitoring, mobility analysis, disinformation impacts, and financial modeling. Designed for policymakers and decision-makers in the public sector, the course demonstrates how data can inform better solutions for global crises. It emphasizes understanding individual behaviors and defining appropriate mitigation actions in pandemic scenarios.
Instructors:
English
What you'll learn
Understand the role of policy making and technology governance in pandemic management
Learn about crowdsourcing and gamification methods for data collection
Explore crowd monitoring and sensing techniques
Analyze mobility and traffic patterns during pandemics
Understand the impact of disinformation and fake news
Examine financial impacts and sustainability models related to pandemics
Skills you'll gain
This course includes:
2 Hours PreRecorded video
11 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This course explores data science applications in pandemic management, focusing on COVID-19. It covers policy making, technology governance, crowdsourcing, gamification, crowd monitoring, mobility analysis, contact tracing, disinformation impacts, and financial modeling. Students will learn about tools like OpenStreetMap for environmental analysis and the COCTEAU methodology for capturing subjective pandemic perceptions. The course emphasizes practical approaches to understanding pandemic dynamics and developing data-driven mitigation strategies.
Introduction and Policies
Module 1 · 53 Minutes to complete
Crowdsourcing and Gamification
Module 2 · 31 Minutes to complete
The COCTEAU tool
Module 3 · 16 Minutes to complete
Crowdsourcing and Crowdsensing of the Built Environment
Module 4 · 2 Hours to complete
Contact Tracing
Module 5 · 14 Minutes to complete
Disinformation and social media analytics
Module 6 · 34 Minutes to complete
Financial impacts of COVID
Module 7 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Professor at Politecnico di Milano Specializing in Data Science and Software Modeling
Marco Brambilla is a full professor at Politecnico di Milano, where he engages in research and innovation across both industrial and academic spheres. His research interests encompass a wide range of topics including data science, software modeling languages, design patterns, crowdsourcing, social media monitoring, and big data analysis. Marco has held visiting researcher positions at CISCO in San José and the University of California, San Diego, as well as serving as a visiting professor at Dauphine University in Paris. He is the founder of Fluxedo, a startup focused on social media analysis and engagement, and WebRatio, which specializes in software modeling tools for we
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Frequently asked questions
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