• Kangas To Co-Lead Development of Automated Science Educational Guidelines By Aaron Aupperleeaaupperlee(through)cmu.edu Carnegie Mellon University’s expertise in automated science education will serve as the foundation of the first-ever guidelines for teaching lab automation. • Joshua Kangas, an associate teaching professor in the Ray and Stephanie Lane Computational Biology Department in the School of Computer Science, will co-lead an effort to develop education standards for automated science through the Society for Laboratory Automation and Screening (SLAS). • The work aims to address a growing gap between the rapid adoption of automation technologies, artificial intelligence and formal training pathways for the scientific workforce. • Automated science increasingly integrates robotics, machine learning and artificial intelligence across pharmaceutical, biotechnology, manufacturing and academic research settings. • Despite this growth, automation training is often fragmented and institution-specific, creating challenges for educators and employers alike. • “Training in lab automation is kind of the Wild West,” Kangas said.

Article Summaries:

  • Kangas To Co-Lead Development of Automated Science Educational Guidelines By Aaron Aupperlee Carnegie Mellon University’s expertise in automated science education will serve as the foundation of the first-ever guidelines for teaching lab automation. Joshua Kangas, an associate teaching professor in the Ray and Stephanie Lane Computational Biology Department in the School of Computer Science, will co-lead an effort to develop education standards for automated science through the Society for Laboratory Automation and Screening (SLAS). The work aims to address a growing gap between the rapid adop

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