- Poster: A Unified Election Database in Relational as well as Key-Value Form, by Emmett Barry
- Poster: Analyzing Colonialism in Africa through Relational and Graph-Based Databases, by Simret Melak and Nardos Mamo
- Poster: Developing an Interactive Simulation for Non-Inertial Reference Frames, Ted Karanja Mburu
- Poster: Development of Instructional Physics Simulations for Classical Mechanics, Mikolaj Konieczny
- Poster: PorchfestPro App, by Keegan Palmo, Laci Young, and Emmett Barry
- Poster: Quantifying the Increase in Climate Instability, by Patrick Bierach
- Poster: Spatial Analysis of the Iron March Data Dump, by Will Regalado Succop and Mateo Hernandez
- Paper: Spreadsheets As Hands-On Learning Tools In a Discrete Math/Structures Course, by Ali Erkan and John Barr
Plenary talk: Reuben Fischer-Baum (The Washington Post): How journalists create data visualization
- Abstract: Journalists use a variety of tools to create static and interactive data visualizations. For investigating data, iterating on chart decisions, and mocking up complex visualizations, exploratory tools like ggplot are valuable. To create polished work that’s ready to be put in front of a broad audience, a separate set of tools like d3.js or vector-editing software are often required. We’ll walk through these different options, and talk through what it even means for a chart to be “polished” in terms of design, usability, and performance.
- Bio: Reuben Fischer-Baum is an editor on the graphics team at The Washington Post, where he leads a team of reporters focused on trackers and reader tools. He previously worked as a visual journalist at FiveThirtyEight and Deadspin, and has taught data visualization at Parsons School of Design. He has a BA in Environmental Studies from Yale University, where his coursework focused on urban planning, geographic information systems (GIS), and statistics. He was a 2021-2022 fellow at the Nieman Foundation for Journalism at Harvard.
Plenary talk: Jon Kleinberg (Cornell University) Choices and Consequences in Computing
- Abstract: Computing requires difficult choices that can have serious implications for real people. The design of our course "Choices and Consequences in Computing" covers a range of ethical, societal, and policy implications of computing and information. It draws on recent developments in digital technology and their impact on society, situating these in the context of fundamental principles from computing, policy, ethics, and the social sciences. A particular emphasis is placed on large areas in which advances in computing have consistently raised societal challenges: privacy of individual data; fairness in algorithmic decision-making; dissemination of online content; and accountability in the design of computing systems. As this is an area in which the pace of technological development raises new challenges on a regular basis, the broader goal of the course is to enable students to develop their own analyses of new situations as they emerge at the interface of computing and societal interests.
- Bio: Jon Kleinberg is the Tisch University Professor in the Departments of Computer Science and Information Science at Cornell University. His research focuses on the interaction of algorithms and networks, the roles they play in large-scale social and information systems, and their broader societal implications. He is a member of the National Academy of Sciences and National Academy of Engineering, and serves on the National AI Advisory Committee. He has received MacArthur, Packard, Simons, Sloan, and Vannevar Bush research fellowships, as well awards including the Harvey Prize, the Nevanlinna Prize, the Allen Newell Award, and the ACM Prize in Computing.