You are invited to attend the 6th annual Yale Day of Data on November 30 in Sterling Memorial Library.
The Yale Day of Data brings together researchers and data experts from across the disciplines to share experiences, challenges, and best practices related to data-intensive research. If you collect, manage, analyze, interpret, or otherwise work with data, this event is for you.
This year’s theme, “Data on Earth,” is intentionally broad, to encompass data about the Earth and the environment, data that help us understand the health and lives of Earth’s inhabitants, and data with global impact.
Keynote: William Michener (Principal Investigator of DataONE, Professor and Director of e-Science Initiatives, University Libraries, University of New Mexico), “Managing Data Throughout the Research Life Cycle to Enable New Science and Support Decision Making”
Talks by Yale faculty and researchers: Tracey Meares, Dena
Schulman-Green, Karen Seto, Alan Gerber, Jessi Cisewski, Casey King, Martin Wainstein & Sophie Janaskie
Registration is now open for the 2018 Yale Day of
Attn: team wearbles
Lilian Kabeche, 10/22-10/24 (Monday seminar, Wednesday chalk talk; shared visit w/YCBI)
Morgan DeSantis, 11/5-11/6 (Monday seminar, Tuesday chalk talk) Seychelle Vos, 11/7-11/8 (Wednesday seminar, Thursday chalk talk) Anders Hansen, 11/26-11/28 (Monday seminar, Wednesday chalk talk; shared visit w/YCBI)
Franziska Bleichert, 12/3-12/4 (Monday seminar, Tuesday chalk talk)
Please join the Biostatistics Seminar scheduled for Tuesday, October 23, 2018 at 12:00 Noon at 47 College St., Room 106B.
Yale calendar Link: “YSPH Biostatistics Seminar: “Testing for Balance in Social Networks”
Speaker: Derek Feng, PhD
Institution: Yale University
Time & Place: 12:00 Noon in Room 106B, 47 College St.
11:45 AM Lunch outside Rm. 106B
Title: “Testing for Balance in Social Networks”
Friendship and antipathy exist in concert with one another in real social networks. Despite the role they play in social interactions, antagonistic ties are poorly understood and infrequently measured. One important theory of negative ties that has received relatively little empirical evaluation is balance theory, the codification of the adage `the enemy of my enemy is my friend’ and similar sayings. Unbalanced triangles are those with an odd number of negative ties, and the theory posits that such triangles are rare. To test for balance, previous works have utilized a permutation test on the edge signs. The flaw in this method, however, is that it assumes that negative and positive edges are interchangeable. In reality, they could not be more different. Here, we propose a novel test of balance that accounts for this discrepancy and show that our test is more accurate at detecting balance. Along the way, we prove asymptotic normality of the test statistic under our null model, which is of independent interest. Our case study is a novel dataset of signed networks we collected from 32 isolated, rural villages in Honduras. Contrary to previous results, we find that there is only marginal evidence for balance in social tie formation in this setting.
BIS Seminar Notice Oct 23_2018.pdf