Team: Tianyi Li, Yasmine Belghith, Dr. Chris North, Dr. Kurt Luther

In this project, we explore provenance analysis for distributed sensemaking in the context of crowdsourcing, where distributed analysis contributions are captured in microtasks. We propose crowd auditing as a way to help individual analysts visualize and trace provenance to debug distributed sensemaking.

Full Paper

Advisor: Prof. Jonas Hauptman

As part of an undergraduate independent study, my responsibilities were:

• Design system wireframes for CNC machine tailored to Bamboo. Schematics include 4-axes in addition to a mirrored y-axis and supported by LinuxCNC (MachineKit) and BeagleBone boards.
• Research user interface alternatives for MachineKit to enable customization of controls for the Bamboo CNC machine.

Advisor: Dr. Wu Feng

As part of an undergraduate independent study, my responsibilities were:

• Assemble generalized modules to teach “parallel programming with pictures” for relevant pedagogical venues, e.g., CS 2104, Let’s Code Blacksburg, and so on. Modules engage students to work with serial and parallel computing concepts and interact with the block-based language “Snap!”
• Participate in Women in Computing Day by assisting, tutoring, and walking through the “parallel programming with pictures” modules with the attendees.

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Advisor: Dr. Jessica Roberts

Although artificial intelligence (AI) is playing an increasingly large role in mediating human activities, most education about what AI is and how it works is restricted to computer science courses. This research is a collaboration between the TILES lab, the Expressive Machinery Lab (Dr. Brian Magerko, Georgia Tech), and the Creative Interfaces Research + Design Studio (Dr. Duri Long, Northwestern University) to create a set of museum exhibits aimed at teaching fundamental AI concepts to the public. In particular we aim to reach middle school girls and students from groups who are underrepresented in computer science. This 4-year project is funded by the NSF Advancing Informal STEM Learning (AISL) program (NSF DRL #2214463). We are collaborating with the Museum of Science and Industry in Chicago to conduct focus groups, needs assessments, and pilot testing of exhibit designs based off our prior work. This research will explore how embodiment and co-creativity can help learners make sense of and engage with AI concepts.

Sample Paper