Jason Hong considers smart devices that provide more meaningful health interventions, 2015
Tom Mitchell demonstrates the potential for never-ending machine learning in health care, 2015
William "Red" Whittaker illustrates the evolution of robotics, Davos, 2015
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 cybersecurity. These talks pose insightful questions and spark ongoing debate about the role of robots, machines and big data.
Artificial Intelligence
Social Artificial Intelligence - Justine Cassell
Teaching Virtual Humans the Secret of Reading Between the Lines - Justine Cassell
Big Data
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
Biomedical Engineering
Designing Exoskeletons That Enhance Performance Through Automatic Customization - Steven Collins
Mimicking the Growth of Human Organs Through 3D Bioprinting - Adam Feinberg
Cognitive Neuroscience
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
Cybersecurity in the Age of Always-Connected Sensors - Anthony Rowe
Personal Privacy Assistants in the Age of the Internet of Things - Lorrie Cranor
Educational Outcomes
Closing the Skills Gap with Machine Learning - Emma Brunskill
The Reality of Online Learning - Justine Cassell
Redesigning How We Learn - Kenneth R. Koedinger
Human-Computer Interaction
The Future of Human-Robot Interaction - Henny Admoni
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
Machine Learning
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
Robotics
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
A graphic of meeting minutes created during Marlene Behrmann's IdeasLab session, "Understanding Autism" in 2014