A couple of weeks ago I was invited to speak at Datengarten, the Chaos Computer Club Berlin’s (CCCB) monthly meet up. I decided to talk about technology in international development; partly because it’s a topic I feel comfortable with, but also because the narrative and general conversation among the development sector is a world away from what I imagine CCCB to be talking about.
One of the biggest issues I’ve come across with those working in international development, or ICT4D, is low levels of technical literacy. People are keen to tout the benefits of technology, but they have little training or critical perspectives on the potential consequences around security, data (mis)management, and more. The audience I was talking with at CCCB are, in a way, the polar opposite of this - all very, very technically literate, but potentially with not as much exposure to people in vulnerable situations, for whom technology could have big benefits.
The video of my talk is below, along with the slides I used. It’s also the first public talk I’ve done in German, which was a nice milestone to reach - especially as it happened to be on my 4 year anniversary of arriving in Berlin! It was great to have such a friendly audience for the talk, and some interesting questions afterwards, too.
Hidden in the darkest and deepest corners of the web are secrets beyond what most of us would believe possible. Jamie Bartlett’s book, The Dark Net, dives into these secrets, and gives us a guided tour - the fora that many of us never frequent, the places where you can place a bounty upon someone’s head, or order illegal substances and have them delivered to your door.
But Bartlett’s attitude to many of these online spaces and the resulting behaviour, is largely uncritical, perhaps in his attempt to be a neutral and objective guide to the space. Take this statement about a Reddit community whose aim was to “troll” other community users, “generating laugh at someone else’s expense”, as he puts it.
Game of Trolls was eventually banned by Reddit; a highly unusual step for the otherwise liberal site, but testament to the pervasiveness and persistence of the Reddit trolls.
The second episode of Collusion is now up, focusing on the theme of water. In it, I talk about how the British used water technologies as a key part of colonial policy in former British India, and Luiza, my co-presenter, talks about current day examples from Palestine and Brazil. This time though, we produced two versions: the regular one, and a “closed access version”, which I explain more about below.
Last week, I was invited for an interview with Civic Radio. We talked about what it means to participate in civic life, and the role of civic technology. For me, civic life is closely connected to participation - and this made me wonder, who has the opportunity to participate in public life?
Algorithms. We’re all talking about them, but how many of us actually understand what they are? Tech critics, researchers and academics are sounding warning bells that an increasing societal dependence upon algorithms is potentially very dangerous. Data scientists that I follow, though, are excited by the possibilities that algorithms hold for society. These conflicting views can be confusing - so let’s go back to basics, and consider what exactly we mean when we talk about algorithms.
Facebook controls our Newsfeed- what we see, what we don’t, and we have little idea how it works. But we don’t necessarily need to know exactly how it works, in order to use it to our advantage. It turns out that a couple of individuals have already “hacked the algorithm” by using certain keywords in their Facebook status, to give visibility to issues they care most about - so maybe it’s time for activists to join the game.
Last week, I took part in a debate on the role of big data in development, at re:publica here in Berlin. The session was fun, and interesting, and a couple of things have stayed running around my mind since then, helped by some other inspiring talks that I saw at the conference, and conversations I had.
The biggest one: that, especially in international development, we seem to assuming that within big data holds all sorts of answers. Within the context of the “data revolution”, big data is put on somewhat of a pedestal, and in my opinion, we’re putting too much faith in the insights that can actually be gained from big data alone.
The first full episode of the new podcast I’m co-presenting and researching, Collusion, is now up, and you can listen directly below:
Doing the research for this was incredibly interesting, and so just in case other people want to know what sources we drew upon, we’ve started a Tumblr, https://collusionpodcast.tumblr.com, where we’ll be putting research and links that we find in preparation for the podcast.
In the days since the tragic earthquake in Nepal, various forms of assistance have been offered from governments, charities, humanitarian response organisations, and by for-profit technology companies, whose reach and influence is bigger than ever before.
In many ways, it’s quite incredible that we have an expectation that international corporations and companies should offer some kind of response or assistance in the wake of a humanitarian emergency; but in fact, they’re very well placed to do so in lots of cases.
Here’s a list of responses from tech companies that I’ve come across so far; I’m sure I’ve missed some out, and I’ll keep updating it, so please let me know which ones I’ve missed out.
Note: as Maya pointed out: there’s lots of other digital responses going on right now, like the great work by the Humanitarian Open Street Map team. In this post though, I’m thinking about ‘tech company’ as being a for-profit company without an official social mandate.
Last week, I attended the International Journalism Festival in Perugia. It was beautiful, and in many ways, surprising.
With my usual work, I spend most of my time thinking about how civil society and journalists can use data more effectively in their work, and the problems that we come up against are things like:
But in Perugia, the problems mentioned were largely very different. The hurdles facing data journalism here aren’t related to technology, they’re related to culture.