The previous posts have been somewhat negative of what big data can accomplish and the effects it may have on privacy and democracy. But are there no positive sides to it? It turns out there is!
Patrick Meier is the author of the book Digital Humanitarians: How Big Data Is Changing the Face of Humanitarian Response. In the book, he lays out a large number of examples of how he and his colleagues and friends have developed and led digital humanitarian relief and aid efforts during catastrophes with the help of big data.
It all started with the earthquake that hit Haiti in 2010. Meier’s interest in this event was sparked by the fact that his partner currently worked in the country, so he had a very personal reason for starting the digital relief effort. I think this may have been one of the main reasons why Meier continued to work with and develop digital humanitarian efforts later on – his emotional attachment to what could have been, had his partner not made it out of there.
What started as a small-time operation in a campus dorm quickly grew to something that even attracted national and international agencies. Meier himself was surprised, not only by what they were able to accomplish, but also the fact that what they did actually was possible for a beginners group like them, without any previous knowledge or expertise in the humanitarian field.
As the book progresses, Meier’s work and tools develop as he and his colleagues face scenarios with unique challenges. It is about automation in order to handle to huge amount of data that flowed in, it is about streamlining the organization, it is about educating the digital volunteers, and much more.
But the one thing that keeps returning, regardless if it is about Meier’s own efforts or the efforts of others, which the book also presents, is the importance of involving people with local knowledge. “Locals” can identify buildings, landmarks, streets and therefore become a great asset during the analysis part of the digital humanitarian effort. The “locals” also speak the language where a catastrophe has taken place, which for the most part is not English. Without this possibility to translate aid requests, Meier and his team would never be able to figure out which need was needed where.
By constantly returning to this aspect, Meier confirms the notion that big data requires local knowledge in order to properly be analyzed and used.
Another thing that constantly returned throughout the book was how smooth it was for Meier to solve the challenges that kept popping up. He always knew the right person at the right universities or agencies, which he had met during this or that conference, who knew exactly how to deal with an unexpected issue that was unique to a certain humanitarian crisis. After a few chapters it almost became absurd. It is absolutely amazing that Meier has this kind of network, but in all honesty, how many have so many great contacts? Obviously, this brings us back to the question of who big data is useful for, and who is able to handle big data.
Lastly, Meier makes sure to note that all his projects and programs are freely available. This also sounds good, but is he the future norm of big data, or rather the exception? Going back to my first blog post about ownership, I dare say Meier seems to be the grand exception, at least if status quo is kept. However, he does offer a refreshing alternative which I would hope more actors within the big data field will emulate sooner rather than later.
All in all, this book gave me a different perspective to big data and how it can be used to do good things and not only for commercial purposes. I did feel somewhat more positive writing this post compared to the previous ones. But exactly because the perspective was so different, my negative opinion of big data presented in the first two blog posts wasn’t changed much by the book. Meier doesn’t discuss privacy issue much and when he does, he believes that the ends justify the means. A critical view of ownership of big data is non-existent and there is neither a deep discussion on social media users related to power and income questions.
Meier, P. 2015: Digital Humanitarians: How BIG DATA Is Changing the Face of Humanitarian Response. Boca Raton, FL: CRC Press.