A unique Ph.D. program in the School of Computer Science at Carnegie Mellon
The faculty and students in the Societal Computing Ph.D. program in the School of Computer Science answer decisively that waiting passively is not an option. Building on a decade of world-leading research, we are shaping a new scientific discipline that is changing the world.
We are asking the right questions. We are finding answers.
Societal Computing is the branch of computer science that designs computational technology to shape tomorrow’s digital world and uses computational methods to understand the societal challenges a digital world poses.
Our field is defined by the fundamental question it seeks to answer:
How can we design computing technologies to address societal needs and concerns, and how can we assess and guide the design, implementation and deployment of new
computing technologies as they appear?
This fundamental question takes many forms, across the full range of interests of Societal Computing faculty and students. For example,
• How do we address the privacy challenges we face with the coming Internet of Things?
• How do we use sensing and machine learning to enhance sustainability?
• How do we build the hardware/software infrastructure for the Smart Cities of the future?
• How do we design analytics to show the impact of social media and mobile technology?
• How do we design technology that ensures compliance with legal requirements?
• How do we support collaboration and coordination in ultra-large scale, data-rich, open production environments?
• How do we design big data analytics and simulations to model large-scale networks to help policy makers evaluate how their decisions impact our computer mediated world?
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