I've long been fascinated with the potential for technology to liberate people from things people would rather not be doing. This relationship between human and machine almost invariably manifests in the context of production processes - making this procedure a bit more efficient here, streamlining this process a bit there.
But what about social processes? A hallmark of the internet today is the utter ugliness that's possible of people; a seemingly inescapable blemish on the grand visions of the internet's potential for social transformation. And the internet's opening of the floodgates has had the expected effect of information everywhere, though perhaps in volumes greater than anyone anticipated.
Here we are, trying to engage little tyrants at considerable emotional expense. Here we are, futilely chipping away at the info-deluge we're suspended in. Here we are, both these things gradually chipping away at us. Things people would rather not be doing.
Prior to my fellowship, these kinds of inquiries had to be relegated to off-hours skunkworks. The fellowship has given me the rare privilege of autonomy, both financial and temporal, and the resources, especially of the human kind, with which I can actually explore these questions as my job.
With the Coral Project, I'm researching what makes digital communities tick, surveying the problems with which they grapple, and learning about how different groups are approaching them - from video games to journalism to social networks both in the mainstream and the fringes (you can read my notes here). Soon we'll be building software to address these issues.
For my own projects I'm working on automatic summarization of comments sections, a service that keeps up with news when you can't, a reputation system for new social network, and all the auxiliary tools these kinds of projects tend to spawn, laying the groundwork for work I hope to continue long after the fellowship. I've been toying with the idea of simulating social networks to provide testing grounds for new automated community management tools. The best part is that it's up to me whether or not I pursue it.
A huge part of the fellowship is learning, which is something I love but have had to carve out my own time for. Here, it's part of the package. I've had ample opportunity to really dig into the sprawling landscape of machine learning and AI (my in-progress notes are here), something I've long wanted to do but never had the space for.
The applications for the 2016 fellowship are open, and I encourage you to apply. Rub shoulders with fantastic and talented folks from a variety of backgrounds. Pursue the questions that conventional employment prohibits you from. Explore topics and skills you've never had time for. It's really what you make of it. At the very least, it's a unique opportunity to be deliberate about where your work takes you.
The halfway mark of my OpenNews fellowship has just about passed. I knew from the start the time would pass by quickly, but I hadn't considered how much could happen in this short a time. There are only about 5 months left - the fellowship does end, but, fortunately, the work it inaugurates doesn't have to.