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
Expert in Computational Social Science at UC Davis
Martin Hilbert is a Professor and Chair of the designated emphasis in Computational Social Science at the University of California, Davis. He holds dual doctorates in Economics and Social Sciences (2006) and Communication (2012). His research focuses on the role of digital information and algorithms within complex social systems, exploring how these elements influence societal dynamics and public policy.Dr. Hilbert is renowned for his pioneering work, including the first comprehensive study assessing global information capacity and developing the initial digital action plan for Latin America and the Caribbean during his tenure at the United Nations. His expertise has been sought by over 20 countries, where he provided technical assistance in digital development. He is also recognized for alerting the public to the Cambridge Analytica scandal before it gained widespread attention.
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