X-Git-Url: https://projects.mako.cc/source/bmh-research_statement/blobdiff_plain/08d0e91b7203854e515dce5812a492cb82752140..6aadc59a0047ce66353c0de0b07d49e57af844c6:/research_statement.tex

diff --git a/research_statement.tex b/research_statement.tex
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+++ b/research_statement.tex
@@ -108,14 +108,14 @@ In one study, I compare Wikipedia to seven attempts to create online
 collaborative encyclopedia projects that were launched previously
 \cite{hill_almost_2012}. Using an inductive, grounded-theory based
 analysis of founder interviews and archival data, I propose four
-hypothesis to explain why Wikipedia attracted many more
+hypotheses to explain why Wikipedia attracted many more
 contributors. Although the paper's methods diverge from the
 quantitative, ``big data'' approach typical of most of my work, the
 research question and strategy is representative.
 
 I have also followed this strategy in a series of quantitative studies
-of the Scratch online community: a public website where a large
-community of users create, share, and remix interactive media. The
+of the Scratch online community: a public website where millions
+of users create, share, and remix interactive media. The
 community is built around the Scratch programming environment: a
 freely downloadable desktop application that allows amateur creators
 to combine media with programming code (see Figure
@@ -234,7 +234,7 @@ In other work with Leah Buechley, I have analyzed sales records of
 hobbyist microcontrollers to argue that relatively simple design
 changes in the \emph{LilyPad Arduino} -- a electronics toolkit
 minimally re-designed for women and girls (see Figure
-\ref{fig:lilypad}) -- lead to large increases in the proportion of
+\ref{fig:lilypad}) -- led to large increases in the proportion of
 women contributors and drastic shifts in the type of projects created
 \cite{buechley_lilypad_2010}. I have also explored how technical
 errors may be able to provide similar opportunities for analysis by