When I
registered for 20.109, I was excited. I did not fully understand yet just what 109
would entail, but I knew that I enjoyed research projects based on my previous
UROP experience, and was excited about getting to try out new things that I did
not yet have experience with in my lab. I feel like this might have been an appropriate
meme to start the class with:
After
sitting through the introduction on day one, my first thought was “FINALLY!”
This class sounded like it was going to be the most applicable class to real
life that I had ever taken. I feel that up until this point, I’ve been learning
subjects that all build on each other in interesting ways, but most of these have
only been classes on the theory of biology or engineering. Here was finally a
class that would combine both theory and actual application to complete
meaningful projects. Throughout Mod 1, I really enjoyed learning skills of
protein purification, SMM screens, and science writing.
However,
being excited about 109 does not always translate to being successful in all
the work that this class requires. My friends can definitely tell you that I
have a love-hate relationship with some of the assignments that we’ve had to
complete in 109. I think a lot of this comes from the fact that writing
assignments are read somewhat subjectively, and so it is difficult for me to
ever feel like I’ve really “completed” a 109 assignment. Completing 109
homework is nothing like completing PSETS that have right and wrong answers;
although there are definite dos and don’ts of science communication, individual
scientists can choose to display the same information in very different ways. Because
of this, figuring out the best way to show a collection of data such that it is
understandable by most audiences is one of the most difficult things for me personally.
I had
already identified some of these weaknesses in my science communication over
the past year of writing proposals, making a group meeting presentation, and presenting
a poster for my UROP. In trying to display large amounts of data and protocols,
I have been challenged to distill it down to the most important pieces for my
audience to take away. However, one thing that I think 109 has taught me so far
that has made me slightly better at writing is the idea that my science should
tell a story. I really love the fact that biology can be formulated into one coherent
storyline, and I think this was something that really helped me understand what
was important to include in my data summary schematics and figures and in my
mini-presentation.
Now that I’ve
established that turning my research into a story is a great way for me to narrow
down my focus and form a coherent report/presentation, I can hopefully take
this into Mod 2 with me and use this strategy (and lots of office hours, of
course) to help me write an effective research article.
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