Research programs are grounded on respect for differing approaches to discovery and centered on collaboration.

Five multi-disciplinary research sprints tackle new questions and methodological approaches that aim to better understand and serve special needs learners. The research is inquiry-driven, faculty-led and industry-inspired. These small grants are made possible by membership contributions from mediaX members, in collaboration with Stanford’s Transforming Learning Accelerator.

Ontologies play an important role in enabling knowledge sharing within domains, and they can facilitate collaboration across domains. An ontology creates a formal framework that describes something by establishing the classes, relationships and constraints that act on concepts and entities within a given system.

Personal, team and organizational work styles and workflows have changed as a result of information technology (IT) in sensor-rich computational environments. This theme highlights insights about productivity in the technology-enabled offices of the future. It focuses on workflow, communication and production in knowledge work and learning environments that are augmented with sensing technologies, robotics, and artificial intelligence.

Technical advances in neuroscience, human and computer intelligence, machine learning, robotics, and predictive algorithms are transforming many aspects of the employee experience. This research theme supports research that can lead to workforce insights about information technologies and human sciences for potential, performance and productivity of knowledge workers.

Emerging uses of digital applications are igniting new cyber-social communities, reorganizing social and economic systems, and altering relationships people have with each other, their employers, their teachers and mentors, and their environments. The ways that people relate to their mobile devices, and through them to one another, are adding digital dimensions to identity to many aspects of life.

Sensor technology continues to increase and improve the quantity and quality of data on human movements and behaviors. Leveraging sensors for research into human machine interaction can generate powerful insights into human psychology, biomechanics, communication, learning and education, collaboration and productivity.

Digital estate is a concept encompassing all aspects of one’s life that are touched by digital technologies. Digital technologies permeate many aspects of our lives, including information access, content creation, insight sharing, life-­‐long and life-­‐wide learning. Imagine a digital estate of content,  data, services, and  tools that supports an individual’s activities & experiences in context.

The world of media and content is experiencing an explosion of innovation that includes how content is created, consumed and curated. In publishing, this innovation has erupted in what some call the “mass amateurization” of media and extends to how traditional content creators and distributors are restructuring around new business models.

The Internet has leveled the playing field for access to information, and the innovation frontier has shifted to knowledge use and creativity. A serious productivity gap exists between available knowledge and how it is used. Like a hole in a bucket, a “knowledge gap” causes significant loss of resources and competitive advantage.