Orchestrating collaboration to solve complex problems is challenging. How might we design technologies that support knowledge workers in developing and enacting effective work practices in networked workplaces? 

Collective Innovation is a process that harnesses the diverse and untapped human, social, and economic capital from distributed networks to discover, evaluate, and implement new ideas but it can be difficult and resource intensive.  How might we design intelligent systems to make collective innovation easier and more effective? 

Low participation is one of democracy’s biggest challenges. How might we design Evanston’s participatory budgeting process to motivate people to address our city’s needs, make government policy more equitable, and train future leaders? 

Many students struggle to learn effective programming practices, in part due to low self-efficacy, limited metacognitive regulation skills, and low motivation due to a perceived inauthenticity of learning environments for beginners. How might we design tools to promote motivation and effective programming practices?