On January 21, 2017, I put on my second-warmest hat and took to the streets of D.C., along with 200,000 of my closest friends. There was an extraordinary sense of connection, not just to the people around me, but to my family around the country who sent me pictures from their marches, and to the 424 other Women’s Marches happening at the same time.
I felt that sense of connection over and over again while protesting. And this year, I found a data set from Count Love that catalogued protests in America from January 2017 through the present. I’m spending an entire semester analyzing and visualizing that data.
Why protests? As I mentioned, I have some personal experience with the matter. Before going to grad school, I did my fair share of shouting and sign-waving in D.C. And the more protests I attend, the more I realize how little I know. The Women’s March was very different from counter-protesting pro-lifers at a women’s health clinic, which was very different from standing outside the Capitol building late into the night, dreading the vote on repealing Obamacare.
All those protests happened in the same place, about a consistent set of liberal positions. If there is that much variation in my not-very-varied experience, I can’t imagine how different protests are across the full landscape and ideological spectrum of this country.
I want to find out.
People protest because they care. I want to know what drove people to the streets. I want to know about nation-wide movements, and moments in local politics that never spread beyond one town or city.
I have four goals in this piece:
- Look at trends across the entire country
- Examine a few examples of local protests
- Invite readers to explore protests in and around their homes
- Draw on that sense of connection to build an aesthetic for the piece
Aside from lurking technical problems, I suspect my biggest challenge will be keeping the data art from unduly influencing the data analysis, and keeping the analysis from draining all the expressiveness from the art. But the only way to find out is to move forward with the project so: off I go!