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Explore essential skills for thriving as a graduate student in today's AI-integrated, post-COVID academic landscape through this comprehensive lecture from Rochester Institute of Technology. Develop practical "durable skills" including professionalism, presence, accountability, and time management while strengthening both critical thinking and critical spatial thinking—the analytical mindset essential for creating meaningful maps and data visualizations. Examine the crucial distinction between using AI as a helpful tool versus cognitive outsourcing, learning how to maintain control over your learning process, synthesis abilities, and professional identity development. Navigate the convergence of COVID-19's lasting impacts and AI's ubiquity, understanding how distance learning and instant digital answers can lead to disengagement if not properly managed. Master professional essentials like reliable communication, showing up prepared, and respecting others' time while building strategic thinking and self-direction capabilities. Discover how to cultivate a strong professional identity and ethos that defines who you are as an emerging expert in your field. Apply universal intellectual standards to strengthen critical thinking skills, then extend these concepts to critical spatial thinking through practical mapping examples. Learn to avoid common pitfalls in spatial data representation by examining the differences between percentage versus raw count displays in poverty mapping, understanding how election maps can perpetuate ecological fallacies, and recognizing how map design choices fundamentally shape the stories your visualizations tell. Connect professional development directly to spatial data science through real-world examples that demonstrate how to create more ethical, accurate, and persuasive spatial representations.
