NSF Research Experiences for Undergraduates Site:
SURF-I: Safe, Usable, Reliable and Fair Internet

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Our REU site participants will be engaged in research that spans four themes under the umbrella of Safe, Usable, Reliable and Fair Interenet. These themes are: (1) communication and cybersecurity, (2) scientific experimentation and knowledge capture, and (3) social data science. These themes are emerging today because of the increased use of the Internet in daily lives. The abundance of applications and the ever-increasing traffic volume cannot be sustained by the current infrastructure. Today’s businesses and critical infrastructure rely on the Internet more and more; this makes them attractive targets for cyberattacks. Young people are also increasingly using the Internet for learning and communication, putting themselves at risk of cyberbullying, cyber-predators, misinformation, etc. Communication and cybersecurity theme explores solutions to the above problems. Further, much information is automatically collected today by many digital devices, and much information is published online by various sources. This volume creates challenges for effectively making sense of information, and detecting important pieces, which can be presented to humans in a meaningful way. The scientific experimentation and knowledge capture theme explores these issues, and also focuses on broadening participation in science through education. Finally, increasing use of social networks allows us to study how people connect to each other, how information propagates in social systems, and how it is acquired and processed by humans. Social data science theme comprises of such projects. Below are the projects, which we expect to have during the summer 2022.

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Communication and cybersecurity

Anycast Visualization (Supervisor: John Heidemann)

Finding and Fixing Peristent IPv6 Problems (Supervisor: John Heidemann)

Understanding DNS Resolvers (Supervisor: Jelena Mirkovic)

Discovering Vulnerabilities in Embedded Code (Supervisor: Christophe Hauser)

Cyber-physical Fuzzing Framework (Supervisor: Luis Garcia)

Automating the Generation of Software Knowledge Bases for Reverse Engineering Embedded Systems (Supervisor: Luis Garcia)

Modeling Human Operators in Safety-critical Industrial Control Systems (Supervisor: Luis Garcia and Dave DeAngelis)

Detecting Bias in College Football Recruiting (Supervisor: Jeremy Abramson)

Scientific Experimentation and Knowledge Capture

Open-world Game Theory (Supervisor: Mayank Kejriwal)

Knowledge Acquisition with Indirect Supervision (Supervisor: Muhao Chen)

Event-Centric Natural Language Processing (Supervisor: Muhao Chen)

Robust Information Extraction from Human Language Text (Supervisor: Muhao Chen)

Machine Commonsense Reasoning with Minimal Supervision (Supervisor: Muhao Chen)

Generation of a Sports-based Introductory Data Science Curriculum to Increase Participation of Underrepresented Groups in STEM (Supervisor: Jeremy Abramson)

Long form dialogue bots (Supervisor: Genevieve Bartlett)

Are STEM Faculty Members Diverse Enough (Supervisor: Mohammad Rostami)

Is SSIM a Fair Image Quality Assessment Metric? (Supervisor: Mohammad Rostami)

Record Breaking Audio Reconstruction (Supervisor: Keith Burghardt)

Social Data Science

Social Graph Analysis and Attribution of Software Exploit Contributors Using GitHub (Supervisor: Jeremy Abramson)

Understanding Echo Chambers and Extremism in Social Media (Supervisor: Keith Burghardt and Goran Muric)

Bias Awareness in your News Diet (Supervisor: Jelena Mirkovic, Fred Morstatter)

Social Media Analysis (Supervisor: Emilio Ferrara)