Excited for the next talk, "A Feminist Agenda for Science Communication: Necessary and Timely" here the @aaas#AAAS2019 Annual Meeting!
"[Science communication] has become a field for women which means that it is looked at subordinate to science in the same way that education, which is also primarily female, is seen as subordinate to gaining knowledge [research]."
“We are seeing that in current times, with current political leaders, facts are not just facts, the possibility for evidenced based policy is not actually based on evidence. We are struggling how to deal with this as scientists.”
"Diversity in scientific teams will identify oppressive practices and begin to unravel them. Regardless of empathy we are blind to problems that are not like ours, Do not fill a diversity quota set by NSF ‘just because’."
"In the past decade we saw a rush to forensic science due to the strong female characters in shows like Bones, CSI, that young girls can identify with." I cannot drive home enough the point of how important #representation is. Thank you @KathyReichs I appreciate you 👩🔬🧠
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✨🧵✨ After that insane response to my job news - here’s a thread about how I ended up at my dream job w/Disney & an illustration of why an untraditional path to tech should never stop you (& is maybe better?):
When I was little I loved computers/math/science/the brain/language. My mom was a school psychologist so she always called me her little speech therapist (which makes sense bc to her that was a job that she knew of that involved language).
From the time I was 7yo I was that kid that stomped around saying ‘I’m going to be a speech pathologist!’ I still liked math/science/computers, but figured I could worry about that later.
I went to the 50th Anniversary of The Walt Disney Archives exhibit @BowersMuseum today! Here is a thread of some of the cool Disney history straight from @TWDCArchives (including the first ticket ever purchased at Disneyland!😱) :
I can't believe I used to avoid using code from tutorials. Please do NOT think this is plagiarizing if you're first starting out in data science. Once I started pulling bits+pieces from different tutorials for my personal projects, it was unbelievable how quickly I started 1/4
understanding concepts. By pulling a few lines here and there from different tutorials doing 'the same thing' I start to see what is actually happening in the code and adjust it accordingly for my use. 2/4
Oftentimes this results in something that doesn't even look like where the tutorial started.
Please also always be sure to give credit where credit is due + comment on tutorial pages. 3/4
Literally getting my phd at the only university designed for deaf and hard of hearing students in the world, all of my classes, lectures, comps, defenses, and proposals are in sign language and, even with almost four years’ experience with this...
I learn something new about this culture and language every. single. day. The depth and complexity is equivalent to that of any spoken language culture and, in my humble opinion, tends to be vastly more interesting.
I think bc it INSTANTLY challenges any person’s preconceived (unconscious) notion of what language is.