The eScience Institute will close at 2 p.m. on Friday, May 24, and will be closed on Monday, May 27, in honor of Memorial Day.
Lunch for the postdocs and graduate students will be on Wednesday, May 29, from noon to 1 p.m. in the WRF Data Science Studio. There will be a discussion with Casey Fiesler (see sidebar).
The Text-as-Data Special Interest Group (SIG) will meet on Wednesday, May 29, from 1 to 2 p.m. in the studio. Kevin Aslett (Political Science) will lead a discussion on "Tracking the changing meanings of political concepts with word vectors."
The Satellite Image Analysis SIG will meet in the studio on Thursday, May 30 from 12:30 to 2 p.m.Friedrich Knuth will present on "Unlocking the archives: an automated processing pipeline for decadal-scale glacier mass-balance from historical imagery."
Michael Fire, previous eScience postdoctoral fellow, and Carlos Guestrin, senior data science fellow, have published a paper titled “The rise and fall of network stars: analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time” in the Journal of Information Processing and Management. The pair constructed the largest publicly available network evolution dataset to date, which contains 38,000 real-world networks and 2.5 million graphs.
The new Academic Data Science Alliance (ADSA) has two job opportunities: a community coordinator and a program assistant. Help ADSA Executive Director Micaela Parker build a community around data science in academia.
Thiago Costa, previous postdoctoral fellow, has opportunities for summer internships at Hashdex; contact them through their careers section.
The KDD2019 Conference, which seeks to bring together a diverse community of researchers in data science for social good and AI ethics efforts, as well as cross-disciplinary and cross-sector partnerships to show the state-of-the-art in research and applications, has announced a call for social impact papers.
Register now for the fifth annual Summer Institute in Statistics for Big Data, which will be held July 15 - 26 on the UW Seattle campus. The Institute is designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of biomedical big data.