Research

The problems that H-STAR focuses on are in general too broad to be solved by a single individual or even within a single discipline. They require an interdisciplinary approach. It is usually not possible to determine in advance which disciplines can best contribute. Accordingly, H-STAR is not based on a traditional membership model. All Stanford faculty are potentially H-STAR researchers. The administrative and financial support staff of H-STAR provide help and support for faculty in proposal preparation and grant management. To date, over 80 Stanford researchers from all five schools have carried out H-STAR supported research, participated in an H-STAR research planning retreat, or hosted a visiting H-STAR researcher from another university.

Learn more about Global Research & Opportunities

 

Major research projects managed by H-STAR include:

 

Improving and Assessing Learners' Preparation for Future Learning in Science

Improving and Assessing Learners’ Preparation for Future Learning in Science

This project is the third phase of a body of work sponsored by the Gordon and Betty Moore Foundation. In the first two phases, we developed and validated several new game-based assessments that measure whether and how students choose to learn. The work is based on the assumption that an ...
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Designing Contrasting Cases for Inductive Learning

Designing Contrasting Cases for Inductive Learning

Designing Contrasting Cases for Inductive Learning is a Goal 1 (Exploration) project to the Cognition and Student Learning program. The purpose was to develop and test a theory for how to pick sets of problems that help students understand the quantitative structure of empirical phenomena. Based on prior research, problem ...
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Resilience Africa Network (RAN)

Resilience Africa Network (RAN)

There are three components to the Stanford effort: RIL training, Deliberative Polling training, and Massively Scaled On-line Course development and execution. 1. Resilience Innovation Lab (RIL) Training Stanford trained the staff, faculty and students at the 4 RIL's in Africa on innovation methods. Two trips per year were used for ...
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Large-Scale Energy Reductions through Sensors, Feedback, and Information Technology

Large-Scale Energy Reductions through Sensors, Feedback, and Information Technology

This initiative combined billion dollar sensor investments (e.g., smart meters & HAN) with behavioral research to reduce energy use quickly, easily, inexpensively, and at scale. Technologies have traditionally failed to reach energy-saving potential because they ignore behavior. Established a software platform for future behavioral research to transform energy program development ...
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The LIFE Center: Learning in Informal and Formal Environments

The LIFE Center: Learning in Informal and Formal Environments

We proposed to establish a Center that provides strong national leadership to develop an integrative and transformative science of learning that has powerful applications for education, training, and other issues of societal importance. Given the exceptional complexity of learning phenomena and the disparate levels of analysis that can be used ...
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Potential, Performance and Productivity

University Research funded by H-STAR & mediaX at Stanford University:

Funded by the members of mediaX at Stanford University
Fiscal Year – 2018

 

 

Smart Office Workflows

University Research funded by H-STAR & mediaX at Stanford University:

Funded by the members of mediaX at Stanford University
Fiscal Year – 2017

 

 

Contextual Futures for Smart Personal Devices

University Research funded by H-STAR & mediaX at Stanford University:

Fiscal Year – 2016

 

 

Digital Learning Environments

University Research funded by H-STAR & mediaX at Stanford University:

Fiscal Year – 2016