Opportunities for Undergraduate Students
For undergraduate students eager to explore the power of AI for decision making in society, AI-SDM offers a vibrant and multifaceted experience. We provide pathways to gain a strong theoretical foundation through our interdisciplinary Data Science in Society minor, which explores data analysis, ethical considerations, and real-world applications. Beyond the classroom, undergraduates can engage in impactful hands-on research opportunities and experiential learning, allowing them to contribute to cutting-edge research projects in the Institute. We also foster a collaborative and supportive community through student-led brainstorming sessions and provide valuable professional development and networking events to prepare you for leadership roles in an AI-driven future.
Data Science in Society Undergraduate Minor
Our Data Science in Society minor provides undergraduate students with a comprehensive understanding of data analysis techniques and their application to address critical societal challenges. This interdisciplinary program goes beyond the technical aspects of data science, emphasizing the ethical, social, and policy implications of AI and data-driven decision-making.
Undergraduate Research
We offer undergraduate students exciting opportunities to participate in cutting-edge research alongside our faculty and graduate researchers. These experiential learning initiatives provide invaluable hands-on experience in applying AI and data science methodologies to real-world problems.
Student Brainstorming Sessions
We foster a vibrant and collaborative environment for students across all levels through regular student-led brainstorming sessions. These informal forums provide a space for undergraduate and graduate students from diverse backgrounds and disciplines to connect, share innovative ideas related to AI and its societal impact, and engage in creative problem-solving. Undergraduate students benefit from the opportunity to collaborate with and learn from their graduate peers in these sessions.
Professional Development & Networking
AI-SDM supports the professional growth of all our students. Throughout the year, we offer a variety of professional development sessions and networking opportunities designed to prepare both undergraduate and graduate students for future careers and leadership roles in the field of AI and its societal applications. Undergraduates gain a valuable advantage by participating in these events alongside graduate students, expanding their network and exposure to advanced career pathways.
This project is supported by the U.S. National Science Foundation under award number 2229881. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation. More information on the National AI Research Institutes can be found at aiinstitutes.org.