Carnegie Mellon University

At the World Economic Forum meetings, our delegates participate regularly in the IdeasLab series. IdeasLab is a fast-paced PechaKucha presentation where delegates are invited to discuss an area of their research in under six minutes. Each year, our university's delegation presents within an over-arching theme, yet each talk stands alone to address topics ranging from artificial intelligence to cybersecruity. These talks pose insightful questions and spark ongoing debate about the role of robots, machines and big data. 

Social Artificial Intelligence - Justine Cassell

Teaching Virtual Humans the Secret of Reading Between the Lines - Justine Cassell

Big Data: Personalized Learning - Marsha Lovett

Big Data: Smart Infrastructure - James Garrett, Jr.

Redesigning How We Learn - Kenneth R. Koedinger 

Transforming the Classroom with Ubiquitous Sensing - Amy Ogan

Understanding Autism - Marlene Behrmann

Designing Exoskeletons That Enhance Performance Through Automatic Customization - Steven Collins

Mimicking the Growth of Human Organs Through 3-D Bioprinting - Adam Feinberg

Decoding the Neural Basis of Visual Cognition - Elissa Aminoff

Teaching a Machine How to Imagine - Tai-Sing Lee

Using Brain-Machine Interfaces to Decipher the Cognition Behind Movement - Byron Yu

Cybersecurity in the Age of Always-Connected Sensors - Anthony Rowe

Personal Privacy Assistants in the Age of the Internet of Things - Lorrie Cranor 

Closing the Skills Gap with Machine Learning - Emma Brunskill

The Reality of Online Learning - Justine Cassell

Redesigning How We Learn - Kenneth R. Koedinger 

The Automated Economy - Illah Nourbakhsh

Enabling an Ecosystem of Personal Behavioral Data for Better Health - Jason Hong

Reimagining Everyday Devices as Information-Delivery Systems - Chris Harrison 

Teaching Virtual Humans the Secret of Reading Between the Lines - Justine Cassell

Transforming the Classroom with Ubiquitous Sensing - Amy Ogan  

Closing the Skills Gap with Machine Learning - Emma Brunskill

Decoding the Neural Basis of Visual Cognition - Elissa Aminoff

Early Detection of Epidemics with Predictive Analytics - Aarti Singh

Enabling an Ecosystem of Personal Behavioral Data for Better Health - Jason Hong

Machine Learning for Hospitals and Health Insurers - Daniel Neill

Teaching a Machine How to Imagine - Tai-Sing Lee

Transforming the Classroom with Ubiquitous Sensing - Amy Ogan 

Verifying and Validating Machine Intelligence - Andrew Moore 

What Machine Learning Teaches Us About the Brain - Tom Mitchell

Using Brain-Machine Interfaces to Decipher the Cognition Behind Movement - Byron Yu

The Automated Economy - Illah Nourbakhsh

Humanitarian Crisis and Disaster Response Robots - William "Red" Whittaker

Power Dynamics: Who Controls the Robots Controls the Future - Anthony Stentz

What Can Robots Do For Us? - Manuela Veloso