Race, Gender, and Tech: A Problem-Based Analysis Guide

Science and technology are never neutral; they are deeply shaped by the human societies that create them. Understanding how factors like race, gender, and class influence scientific authority and technological design is essential for building an equitable future. This written course guides you through a critical examination of sociotechnical systems using a problem-based learning approach. You will transition from a passive consumer of technology to an active, critical analyst capable of identifying systemic biases and proposing democratic, inclusive solutions. What you'll learn: Understand foundational concepts of intersectionality, scientific authority, and the democratization of knowledge; Analyze how historical biases in race and gender influence modern scientific research and technological design; Evaluate real-world case studies in algorithmic bias, artificial intelligence fairness, and data justice; Apply problem-based inquiry techniques to investigate complex sociotechnical issues independently; Formulate actionable strategies to promote diversity, equity, and public participation in science and technology policy. You will begin by mastering core definitions and historical contexts before moving into structured, written case studies that challenge you to analyze modern tech ethical dilemmas. Through guided readings and reflective exercises, you will develop a personalized framework for critical inquiry. This text-based program is designed for beginners, students, activists, and tech professionals with no prior background in gender studies or sociology. Start reading today to build a deeper, more critical understanding of the forces shaping our digital and scientific world.