Digital Strategies: Managing Sociotechnological Co-Evolution
Explore technological change management, AI ethics, and digital transformation in society. Learn to navigate the evolving digital landscape.
Explore technological change management, AI ethics, and digital transformation in society. Learn to navigate the evolving digital landscape.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Digital Technology and Social Change Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Analyze technological evolution patterns and their social impact
Evaluate digital divide challenges and propose solutions
Develop strategies for managing technological change
Understand AI alignment and ethical considerations
Assess innovation diffusion in social networks
Skills you'll gain
This course includes:
6.15 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores the complex relationship between technological advancement and social change. Students learn about the accelerating pace of technological evolution, from basic principles to AI and machine learning. The curriculum covers innovation patterns, digital divide challenges, and ethical considerations in AI development. Through practical assignments and discussions, participants develop strategies for managing digital transformation while addressing societal impacts and ethical implications.
Getting Started and Defining Technology
Module 1 · 2 Hours to complete
Evolution of Technology
Module 2 · 2 Hours to complete
Evolution of Social Systems
Module 3 · 2 Hours to complete
Diffusion of Technology
Module 4 · 3 Hours to complete
Artificial Intelligence (AI), Ethics, & Policies
Module 5 · 2 Hours to complete
Fee Structure
Instructor
Leading Expert in Computational Social Science at UC Davis
Professor Martin Hilbert is a distinguished academic at the University of California, Davis, where he serves as the Chair of the Department of Computational Social Science. His research focuses on the impact of digital information and algorithms within complex social systems. Dr. Hilbert holds dual doctorates in Economics and Social Sciences (2006) and in Communication (2012), and he is affiliated with both the Communication and Computer Science departments at UC Davis. He is widely recognized for his groundbreaking study that quantified the amount of information in the world and for designing the first digital action plan in collaboration with Latin American and Caribbean governments at the United Nations. Additionally, he was one of the first to raise concerns about Cambridge Analytica's influence on elections before the scandal emerged. Prior to his academic career, Dr. Hilbert worked for 15 years as an Economic Affairs Officer at the United Nations, where he developed the Information Society Program for Latin America and the Caribbean, providing technical assistance to over 20 countries. His extensive research has been published in prestigious journals such as Science and World Development, and he is frequently featured in major media outlets including The Wall Street Journal and NPR. Fluent in five languages and having lived on four continents, Dr. Hilbert brings a truly international perspective to his work, having traveled to over 70 countries throughout his career.
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Frequently asked questions
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