Data In Disaster
If done right, data analytics prepares for the unexpected by opening up new ways to make predictions more reliable
Part of human nature may be the will to dominate nature: to tame its fire, direct its waters, harvest its air and light. In certain areas of life this might be more or less successful – for example, as far as the use of modern technologies for renewable energies is concerned. Indeed, the elements can be used to a certain extent, but at some point natural forces become unpredictable and incalculable: earthquakes, hurricanes, volcanic eruptions, tsunamis, droughts, and floods have their own rules.
Really unpredictable? Just take a brief look at Mongolia,
where pastoral farming communities have seen dramatic changes in the past 20 years, especially in the strength and frequency of so-called zuds, severe, blistering winters often preceded by drought, resulting in insufficient pasture and hay production in the summer.
Since the year 2000 more than 20 million head of livestock have perished in zuds – an existentially threatening force of nature for more than 300,000 households, with far-reaching consequences, such as limited access to health care, education, and government support. How could data intelligence help? With a tiny little device, that most herders can hold in their hands.
⟶ PDF Data In Disaster
