• Assess the current level of automation for end-to-end laboratory workflows in the life science research space and how the strong focus on automating single workflow steps with separated instruments/integrations can delay overall process automation
• Look into business process modelling and management tools as they are applied successfully in other industries and what limits their adoption as a proposed solution for life science automation
• Identify the essential requirements of end-to-end research workflow automation and how business process management tools can help to achieve the goal of a FAIR, digital, lab of the future
· Assess effective ways to integrate analytical requests, data acquisition and approval work flows
· Automated retrieval, analysis and publication of results data to streamline your operations
· Build processes to ensure a fully integrated ELN, sample processing workflow, compound registration and inventory
• Examine a case study of new site development strategy and how this translated in real life implementation
• Discuss the critical success factors when developing a new site from scratch and how this differs from updating existing sites and infrastructure
• Outline your site management strategy when your systems and informatics capabilities exceed your other sites