EIN Collaboration with Public Interest Partners
EIN is collaborating with Public Interest Partners to develop a Translational Service Research & Design Methodology committed to align and advance knowledge and technology transfer. The objective is to accelerate the transformation of scientific service research insights into the actionable knowledge that can lead to diverse and large-scale societal impact through public interest technology.
The process is guided by the principles of Service-Dominant Logic, the foundational philosophy of Service Science, which applies specialized skills, knowledge and technology to co-create value for the benefit of others.
Public Interest Partners is also forming Service Innovation Network to collaborate with nonprofit local news media and cross-sector practitioners of public interest journalism, technology, communications and law. The objectives are to illuminate the diverse societal outcomes and impact of Service Innovation in order to stimulate bipartisan public policy discourse and help to shape public policy with evidence-based data.
Education Industry Network is informed and guided by six prior student collaboration initiatives, developed by the International Society of Service Innovation Professionals (ISSIP), which frames academic–industry collaboration, itself, as a designable service system.
ISSIP strives to create a repeatable, low-friction, high-value model that benefits students, faculty, job-seekers, employers, entrepreneurs, industries, sectors and the ISSIP global community. The process mobilizes through the AI Collab Program and is built around three reinforcing elements displayed on the right panel:
"Service system innovation offerings must benefit multiple stakeholders including industry leaders with multiple challenges but limited time, student groups looking for real-world experience, and academic faculty researchers needing to advance knowledge in their discipline."
The process enables student groups and faculty mentors to connect with industry leaders facing talent shortages aligned with disciplines such as industrial engineering, computer science, UX design, human-computer interaction, data science, business analytics, and others.