In today’s knowledge economy, universities are central drivers of innovation, forming impactful partnerships with industry and contributing to regional and global economic growth. Yet, connecting academic expertise with external partners can be challenging — particularly in fast-moving fields with complex terminology. Data fragmentation, disciplinary silos, and language gaps between academia and industry often stand in the way.
In this session, hosted by Digital Science, we’ll explore practical strategies and next-generation tools to bridge these gaps, enhance research discoverability, and strengthen industry-university collaboration.
Drawing on the capabilities of Symplectic Elements, Dimensions, and other Digital Science solutions, we’ll demonstrate how institutions can:
- Showcase their research strengths, from individual expertise to specialist facilities
- Translate academic outputs into accessible, industry-ready language
- Equip technology transfer offices and economic development teams with powerful analytics
What You’ll Learn
🚀 AI-Driven Discoverability
Get a first look at generative AI features in development within Symplectic Elements, including plain-language, AI-generated summaries designed to make scholarly outputs more accessible to non-specialist industry audiences.
📊 Real-World Case Studies
Hear insights from collaborations with the Ohio Innovation Exchange (OIEx) and the University of Toronto, showing how these platforms are driving greater visibility and connection between academia and industry.
📈 Preview of Economic Development Tools
See an demo of Digital Science’s new economic investment dashboard in Dimensions, designed to help economic developers and technology transfer offices identify strategic research opportunities and measure economic impact.
Who Should Attend
This webinar is designed for research leaders, technology transfer professionals, industry liaison teams, and anyone involved in promoting institutional expertise and resources to external partners.