Dr. Hullman's work on Hypothetical Outcome Plots, a new technique for visualizing uncertainty in data, has been published in PLOS ONE.
Jevin is giving a talk at Duke University's Machine Learning Seminar on mining the scholarly literature.
We had our first DataLab Open House. Thanks to everyone who attended. It was a great event!
Jevin gave one of the plenary talks on measuring scholarly influence at the Pew Biomedical Scholars Conference in the Cayman Islands.
Research by DataLab members Joshua Blumenstock and Niall Keleher has been accepted for oral presentation and publication at the ACM Conference on Computing for Development in London. The paper is titled, "The Price Is Right? Statistical evaluation of a crowdsourced market information system in Liberia."
Yea Seul Kim, Dr. Hullman, and collaborator Eytan Adar published and presented their work DeScipher: A Text Simplification Tool for Science Journalism at the 2015 Computation+Journalism conference.
Datalab fellow Ott Toomet, along with collaborators, released a new version of maxLik, a package for Maximum Likelihood estimations for R. The package features Marquardt (1963) quadratic approximation control, and a new API. Download and more information available at CRAN.
Dr. Spiro and collaborators have published in Sociological Methods & Research. The paper titled "Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing" is now available online.
Dr. Spiro, along with collaborator Kate Starbird and students, have had two papers accepted to the ACM 2016 Computer Supported Cooperative Work (CSCW). The papers are titled: "Keeping Up with the Tweet-Dashians: The Impact of ‘Official’ Accounts on Online Rumoring" and "How Information Snowballs: Exploring the Role of Exposure in Online Rumor Propagation."
DataLab PhD student Li Zeng, along with Dr. Spiro and Kate Starbird, have had a paper accepted to the Hawaii International Conference on System Sciences (HICSS). The paper is titled: "Rumors at the Speed of Light? Modeling the Rate of Rumor Transmission during Crisis."
Dr. Spiro and coauthor's work "What it Takes to Get Passed On: Message Content, Style, and Structure as Predictors of Retransmission in the Boston Marathon Bombing Response" was recently published in PlosOne.
Dr. Hullman, along with Dr. Sean Munson of HCDE, received a new grant from Google to study uncertainty visualization of bus arrival time predictions on mobile interfaces.
Do you have second-nature linux skills, and a love of big, messy data? Consider applying to work at the DataLab!