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China broke ground on its fourth space center Monday, highlighting the country's soaring space ambitions six years after it sent its first man into orbit. - .6.000 people had to be relocated for the construction

> 6.000 people had to be relocated So what? It's less than 0.0005% of the population...

What if heuristic algorithms (PSO, DE, ...) do not actually simulate flocking birds or school gish beahviour ?!

Big Data bring new opportunities to modern society and challenges to data scientists. On the one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On the other hand, the massive sample size and high dimensionality of Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation, incidental endogeneity and measurement errors. These challenges are distinguished and require new computational and statistical paradigm. This paper gives overviews on the salient features of Big Data and how these features impact on paradigm change on statistical and computational methods as well as computing architectures.

How many people to we actually need put on that ship?

We should invite these people to the AF special issue

sounds really interesting. their simulations don't account for biological issues (mutation, migration, selection, drift, founder effect) though, so the numbers are very low. this paper (https://ac.els-cdn.com/S0094576513004669/1-s2.0-S0094576513004669-main.pdf?_tid=6bec2a5c-f05f-4024-b4de-af78ab06fd42&acdnat=1531827379_d4f0be1b193873890d6e5b4574e82f2e) takes those effects and their implications on genetic composition of populations into account, but the numbers are enormous. do you have an idea why they (marin and beluffi) wouldn't put those effects into the simulations?