Tools and Practices for Addressing Pandemic Challenges
Learn data-driven approaches and best practices for managing pandemics and mitigating their impacts.
Learn data-driven approaches and best practices for managing pandemics and mitigating their impacts.
This multidisciplinary course provides an overview of tools, techniques, and practices for monitoring, managing, and responding to pandemics. It covers data science, social science, healthcare, and management aspects of pandemic challenges. The course focuses on data-driven approaches, health-related solutions, and social work during pandemics. It's designed to equip policymakers, organizations, and individuals with knowledge to make informed decisions and implement effective strategies during global health crises.
Instructors:
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What you'll learn
Understand how to use data for informed decision-making during pandemics
Learn best practices for addressing pandemic challenges
Explore crowdsourcing and gamification techniques for data collection
Understand the application of artificial intelligence in healthcare during crises
Gain insights into pandemic preparedness, prevention, and response strategies
Learn about the One Health approach and its role in managing pandemics
Skills you'll gain
This course includes:
60 Minutes PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This course provides a comprehensive overview of tools and practices for addressing pandemic challenges. It covers data-driven approaches to pandemic management, including crowdsourcing, gamification, and artificial intelligence in healthcare. The curriculum also explores pandemic preparedness, prevention, and response strategies, emphasizing the One Health approach and territorial response strengthening. Additionally, the course addresses social work aspects during and after a pandemic, including vaccine policymaking and mental health considerations.
Introduction
Module 1 · 4 Minutes to complete
Data-driven Approaches to Pandemics
Module 2 · 1 Hours to complete
Pandemic preparedness, prevention, and response
Module 3 · 1 Hours to complete
Social work during and after a pandemic
Module 4 · 42 Minutes to complete
Conclusions
Module 5 · 1 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructor
Leader in Data Science and Software Engineering
Marco Brambilla is a full professor at Politecnico di Milano, where he engages in both research and innovation across industrial and academic sectors. His research interests encompass data science, software modeling languages, design patterns, crowdsourcing, social media monitoring, and big data analysis. He has served as a visiting researcher at CISCO in San José and the University of California, San Diego, as well as a visiting professor at Dauphine University in Paris. Brambilla is the founder of Fluxedo, a startup focused on social media analysis and engagement, and WebRatio, a company that develops software modeling tools for web, mobile, and business process applications. With over 200 publications, including various international books and research articles, he has received multiple best paper awards and delivered keynote speeches at numerous conferences. He leads research projects on data science and collaborates on industrial projects related to data-driven innovation and big data. Additionally, he is the main author of the OMG standard IFML and has participated in several European and international research initiatives. Brambilla has also reviewed FP7 projects and evaluated EU proposals, serving as a program committee chair and member for various conferences while being an associate editor for SIGMOD Records, the Journal of Web Engineering, and Advances in Human-Computing Interactions.
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Frequently asked questions
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