From the The Physics arXiv Blog: “The way we view online recipes reveals how our eating habits change over time, say computational sociologists….it’s no surprise that computational sociologists have begun to mine the data associated with our browsing habits to discover more about our diets and eating habits. Last year we looked at some fascinating work examining networks of ingredients and the flavours they contain, gathered from online recipe websites. It turns out this approach gives fascinating insights into the way recipes vary geographically and into the possibility of unexplored combinations of flavours.
Today, Robert West at Stanford University and Ryen White and Eric Horvitz from Microsoft Research in Redmond, take a deeper look at the electronic trails we leave when we hunt for food on the web. They say the data reveals important trends in the way our diets change with the season, with our geographical location and with certain special days such as Thanksgiving and Christmas. And they conclude that the data could become an important tool for monitoring public health.”
See also : arxiv.org/abs/1304.3742: From Cookies to Cooks: Insights on Dietary Patterns via Analysis of Web Usage Logs
Africa’s digital divide: still gaping
Peter Vanham in the FT’s Beyond Brics blog: “Don’t let success stories like M-Pesa in Kenya fool you: the worldwide digital divide is still increasing and Africa remains the biggest victim.” So says Soumitra Dutta, Dean of Cornells’ Johnson School of Management, talking to beyondbrics at the launch of the World Economic Forum’s Global Information Technology Report 2013.
M-Pesa, the highly successful mobile payments service in Kenya, has attracted global attention. Used by the vast majority of Kenyans, M-Pesa is so successful that, according to Quartz, a massive 31 per cent of Kenya’s GDP is spent through mobile phones.
It was proof that technological progress could happen in low-income countries with poor infrastructure. It has been copied in other emerging markets, leading some to believe the so-called digital divide between the developed and the developing world was ready to fall.
But the opposite is true, says the Indian born Dutta, a founding author of the WEF’s IT report….
To support his claim, Dutta refers to the latest available data on access to different mobile technologies (see graph – click to enlarge).”:
The Science of What We Do (and Don't) Know About Data Visualization
Robert Kosara on the HBR Blog Network: “Visualization is easy, right? After all, it’s just some colorful shapes and a few text labels. But things are more complex than they seem, largely due to the the ways we see and digest charts, graphs, and other data-driven images. While scientifically-backed studies do exist, there are actually many things we don’t know about how and why visualization works. To help you make better decisions when visualizing your data, here’s a brief tour of the research.”