- About
- Courses
- Research
- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
- Technology and Equity
- People
- Career
- Undergraduate
- Info Sci Majors
- BA - Information Science (College of Arts & Sciences)
- BS - Information Science (CALS)
- BS - Information Science, Systems, and Technology
- MPS Early Credit Option
- Independent Research
- CPT Procedures
- Student Associations
- Undergraduate Minor in Info Sci
- Our Students and Alumni
- Graduation Info
- Contact Us
- Info Sci Majors
- Masters
- PHD
- Prospective PhD Students
- Admissions
- Degree Requirements and Curriculum
- Grad Student Orgs
- For Current PhDs
- Diversity and Inclusion
- Our Students and Alumni
- Graduation Info
- Program Contacts and Student Advising
Abe Davis is an assistant professor in the Computer Science Department at Cornell University. His research group works at the intersections of computer graphics, vision, and HCI, publishing at top venues in each of these fields. Abe earned his Ph.D. in EECS from MIT CSAIL in 2016, followed by a postdoc at Stanford before joining Cornell. Abe’s academic achievements include receiving NSF and Mathworks graduate fellowships, the MIT Sprowls Award for Outstanding PhD Dissertation in Computer Science and the ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention Award. Abe was named one of Forbes Magazine's "30 under 30", Business Insider's "50 Scientists Who are Changing the World" and "8 Innovative Scientists in Tech and Engineering." Abe also won the "Most Practical SHM Solution for Civil Infrastructures" Award at IWSHM 2017, and has been the recipient of two Magic Grants from the Brown Institute for Media Innovation.
Talk: New Opportunities at the Intersection of Graphics, Vision, & HCI
Abstract: Imagine a world where any computational problem can be solved with enough of the right data. We may never quite live in that world, but recent trends are certainly bringing us closer to it. This begs an interesting question: when data offers a reliable solution, what parts of a problem remain hard? And what role should we as humans play in solving it? These questions provide broad motivation for much of the research in my group, which brings together expertise in computer graphics, vision, and human-computer interaction to explore new opportunities at the intersection of these fields. In this talk, I will discuss several projects and how they address three shifting roles that humans play in technology. The first set of work will focus on using Augmented Reality (AR) to create guided data capture systems. The second part will focus on developing new interactive tools for content creation. And finally, I will end by discussing ways to combat the use of these new content creation tools for spreading misinformation.