CCDS to host SU Research Un-Conference in September around key themes: Democracy, Digital Media, Decision Making, and Data Analytics
The TRACE (Trackable Reasoning and Analysis for Collaboration and Evaluation) Project aims at improve reasoning and intelligence analysis through the development of a web-based application that will leverage the use of structured techniques, crowdsourcing and smart nudging to enhance analysts' problem-solving abilities and foster creative thinking.
Illuminating 2016 is a computational journalism project that will empower journalists covering the 2016 presidential campaign. Political reporters must cover not only stump speeches, campaign events, and TV ads, but also what is happening on social media. Covering it increases transparency and accountability of the campaigns, and is a way to take the pulse of the electorate. The sheer volume of information that flows through social media, however, makes it challenging to report accurately and comprehensively. Our goal is to help journalists in that important work by providing a useable yet comprehensive summary of the content and sentiment—that goes beyond counting likes or retweets. Illuminating 2016 will enable political journalists an insightful yet accessible summation of the important political conversation online.
This project is supported by the Knight Foundation, the Tow Center for Digital Journalism at Columbia University, the Center for Computational and Data Sciences and the BITS Lab at the School of Information Studies at Syracuse University
On April 13th, CCDS had the pleasure of hosting Roc Myers to give a TensorFlow talk with interested graduate students and faculty.
The CORA (Citation Opinion Retrieval and Analysis) project aims to build an automated tool that can plug into a full-text bibliographic database, extract citation statements toward a cited article, separate substantial citations from perfunctory ones, and categorize substantial citation opinions by their purposes, subject aspects, tones, and holders and targets of the opinions.
This project, led by Center affiliate Yang Wang, aims to provide people with disabilities, particularly those with visual impairments, better privacy tools when working with computers.
This project, led by Center Affiliate Jeff Hemsley, studies the shift in information diffusion from large social media sites to niche social media sites.
iSchool Researchers to Study Election-Related Misinformation on WhatsApp
iSchool Researchers to Participate in Twitter-funded Study on Discussion Quality
CCDS Welcomes New Research Assistant Professor, Brian McKernan!
Hawai’i International Conference on Systems Sciences (HICSS-52) Call for Papers
CCDS Seed Funding Highlights Presents: "Mook" Sikana Tanupabrungsun
CCDS Attends 2018 Northeast Big Data Hub Summit
CCDS Seed Funding Highlights Presents: Jeff Hemsley
Bei Yu Analyzes Exaggerated Claims in Science Communications
Daniel Acuna: First Year iSchool Assistant Professor and CCDS Affiliate
Jeff Hemsley Discusses CCDS Project Illuminating 2016 and Data Science Program at SU