by Libby Bishop
In a speech in St Petersburg, Alexander von Humboldt called for the first large-scale research project across Russia to investigate the effects of deforestation on climate. The year was 1829. This project embodied the key features of Humboldt's methods: empirical, comparative and collaborative. He was part of the Republic of Letters, an international community of scholars that exchanged the scientific ideas. Earlier, he had made a five-year voyage to the Americas where he identified 2000 new species, discovered the magnetic equator, and explored live volcanoes. Hungry for yet more knowledge, he wanted comparative data from the East as well. Despite being nearly 60 years old, Humboldt travelled 10,000 miles in six months into Russia collecting data on the climate effects of deforestation, irrigation, and silver smelting. He was even expert at data visualisation, as his Naturgemälde (“painting of nature”) demonstrates by showing plant names and zones on Chimboraza, a peak in the Andes that he climbed. This diagram exemplified his approach: data-driven, fusing science and art. Doggedly, he sought to unify and connect, resisting the tendency of Enlightenment science to divide and classify (Wulf 2015). By sharing his data in the belief that knowledge should advance public, not private, interests, he was ahead of his time.
Humboldt would have revelled in the volume and variety of big data available to us today. He faced dangers from jaguars, earthquakes, and altitude sickness; our challenges are of another kind. Humboldt collected data primarily about natural phenomena, and thus he did not have to worry about privacy and risks to research subjects from disclosing their data. Today, much of the data needed to further research in key areas, such as health, is about people. Protecting privacy is indeed a hard problem, but we can look to Humboldt's courage and ingenuity as a model for how to approach our data challenges. As he would have done, we must find and promote ways to deploy personal data for public good while protecting privacy. In Europe, this work will go forward under new rules recently announced governing the protection of personal data.