Lizzie Kumar

@ziebrah

Not that kind of data scientist 🔎 PhD student providing you with free opinions about machine learning, justice, & internet humor 🏳️‍🌈 she/her

Joined August 2011

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  1. Pinned Tweet
    Jan 30

    Really happy to have met so many new friends, old friends, colleagues, mentors, role models AND (hopefully) LOTS of future collaborators at aka - everyone please keep in touch!!

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  2. 7 hours ago

    ...or, obviously, an industry researcher, or government official, part of federally funded initiatives etc etc etc

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  3. 7 hours ago

    Our research is not futile but it can only go so far by staying within the existing structures that currently confine the experience of being a student or professor

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  4. 7 hours ago

    After decompressing a bit from the conference formerly known as FAT* I feel the need to clarify that I’m here (in this field) with an agenda, and was really pleased that many others there are interested in navigating the boundaries of the ivory tower in this sort of way.

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  5. Feb 1

    Yes; my father. I know nothing about his field and he had very little advice about CS grad school when I graduated college. But having a STEM prof tell me he thinks i have what it takes to be a mathematician has been a rare and clear advantage throughout my entire life.

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  6. Retweeted
    Jan 31

    some insight for prospective/current PHD students [thread]: I have a lot undergrad debt, no choice. got into a funded PhD I was relieved. But what isn’t explained to a 1st gen scholar of color is to get CV lines, go to conferences, give talks, etc, requires ALOT of extra money.

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  7. Retweeted
    Jan 31

    The way we talk about data science and focus so much on methods, we actually incentivize working with *bad* data, rather than spending the time to collect good data and then use easy methods with it

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  8. Retweeted
    Jan 30

    Repect to all the researchers presenting at but the fair down the street is where the real intellectual fireworks were today. I wish there was a critical art intervention at every tech conference I went to!

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  9. Jan 30

    Especially if you need a ML gal on your neat social science project

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  10. Jan 30

    Alright. Before I make a sappy post-conference post my biggest pet peeve at is that we are still categorizing papers by discipline at all. My favorite talks by FAR were collaborations.

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  11. Retweeted
    Jan 30

    The recent work just mentioned on how explanations can be gamed is by et al:

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  12. Retweeted
    Jan 30

    explainability is mainly used for internal debugging, its goals are not clearly defined, and it has serious technical limitations. 'we suggest everyone cast doubt on those who are claiming to work with explainability technologies' at

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  13. Retweeted
    Jan 30
    Replying to

    Also, there is some good adjacent ethnographic work on this:

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  14. Jan 30

    This session is further rooting me in my beliefs that feature importance is a social construct lol

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  15. Jan 30

    Telling everyone who will listen at this conf about my recent realization of how multiple ontological/epistemic paradigms exist lol

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  16. Jan 30

    some Epistemology is happening at

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  17. Retweeted
    Jan 30

    "The impossibility of fairness mathematically proves that, in an unequal society, decisions based in formal equality are guaranteed to produce substantive inequality" – at Hotel Barceló Sants

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  18. Retweeted
    Jan 30

    Ben Green speaking of how we cannot have our cake and eat it too, if we restrict ourselves to computing (formalising) fairness based on a supposedly ‘given’ societal inequality

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  19. Jan 29

    Sorry @ everyone at this conference for how hangry I’ve been getting at 6pm on the dot every day

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  20. Jan 29

    Incredibly rude that this Sundance screening happened the one time I'm not stuck in Utah

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