Model a network as an edge-weighted graph, where the (unknown) weight we of edge e indicates the frequency of observed interactions, and over time t we observe a Poisson(twe) number of interactions across edges e. How should we estimate some given statistic of the underlying network? This leads to wide-ranging and challenging problems, on which this article makes only partial progress.

With visual analytical tools becoming more sophisticated and prevalent in the analysis communities, it is now apparent that understanding how analysts utilize these tools is more important than ever. Such understanding can lead to improving the tools, but a more subtle and equally important aspect lies in the discovery of the analysts’ reasoning process for solving complex problems through the ...

The title of my talk, “Living Neoplatonism,” is intentionally ambiguous, for it can refer, first, to Neoplatonism as a living philosophy rather than as a historical artifact embodied in the writings of Plotinus, Proclus, and the rest. And second, it can refer to the practice of living Neoplatonically as a modern way of life. But why Neoplatonism, as opposed to some other philosophy? From my per...

In response to this insightful editorial, we wish to provide commentary that seeks to highlight recent successes and illuminate the often unspoken hurdles at the intersections of culture, politics, and taboo. We focus on sexual transmission and draw examples from Lebanon, where the pursuit of data in quality and quantity is teaching us lessons about the way forward and where we are experiencing...