Using AI and Automation to Scale Up Knowledge Exchange & Science Communications

This event debuts agile new web app that automates the creation of research department- or unit-specific digital newsletters tailored to discreet “clusters” of researchers. This solution enables research units to produce both internal- and external-facing newsletters that showcase their contributions, even without dedicated communications teams. Join us for a sneak peek at this new tool (now in beta testing) that integrates existing research data infrastructure and AI to boost efficiency in knowledge translation, mobilization and exchange. Along the way, we'll explore the existing structural barriers in research/academic contexts that can impede research communication and consider the implications of AI to significantly transform the way science can be communicated and shared. This session is presented by James Shelley, Director of the Complex Adaptive Systems (CAS) Lab at Western University. An autodidact at heart, James’ personal research interests focus on the intersection of complexity theory, information, and communications, with a particular emphasis on the frontier applications of artificial intelligence and machine learning in knowledge mobilization and research administration. He is a process strategist and in-house software developer, focussed on leveraging advancements in automation, analytics, and AI to support strategic, institutional initiatives. James is currently leading several projects in the areas of research administration, knowledge mobilization, and science communication.

Source: legacy_backup