This Informatics major concentration will train students to think critically and use data in an ethically responsible manner in artificial intelligence, machine learning, information retrieval, data curation, and data analysis.
Human-centered data science focuses on principles and techniques to extract useful meaning from data in order to solve real-world problems.
Students in the Human-Centered Data Science Informatics major concentration will learn to:
BSI in Informatics Degree Plan
Informatics majors learn the skills and knowledge required to collect, manage, and analyze data and information, and prepare for the great ethical responsibility that comes with these societally transformative roles.
Students develop an understanding of the complex social, cultural, and ethical context related to communicating with digital and social media tools, and to apply this understanding to creating digital solutions and technologies that are effective, inclusive, and responsive to the needs, values, and perspectives of people with many different lived experiences.
In this introductory course, students will explore the foundational theories, concepts, and challenges in Cultural Heritage Informatics, Health Informatics, Human-Centered Data Science, Social Informatics, Social Justice Informatics, and User Experience Design. View Course Listings
Introduction to Human-Centered Data Science provides students with the skills and knowledge needed to explore and analyze 'big data' with an understanding of technical, social, and ethical considerations. It also provides students with an opportunity to better appreciate how data and analytics can be used to develop strategies, plans, and policies to improve both business and community operations. View Course Listings
In addition to taking the introductory course for their selected Informatics major concentration, students must also complete an introductory course in another Informatics major concentration:
Students must complete nine credit hours in Advanced Topics in Human-Centered Data Science. View Course Listings
Students pursuing the School of Information Honors distinction may substitute I 679H: Honors Thesis (6 HRS). View Course Listings
Students must complete three credit hours of Informatics elective coursework at the School of Information. View Course Listings
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The Artificial Intelligence and Human-Centered Computing (AI&HCC) Lab creates novel datasets, builds AI models, and evaluates model performance and end-user impacts. We design human-in-the-loop approaches supported by AI model explanations and creative user interfaces. To promote fair AI, we design better ways to annotate data without bias and modeling techniques to mitigate dataset biases.
The Human-AI Interaction lab aims to create technology that supports individual and collective human decision-making. We explore psychological understandings of AI and develop human-centered methods and systems for better AI-integrated workplaces, smart communities and cities, and online information.
