Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1) header
Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1) profile picture

Postdoctoral Researcher🧑‍💻, Baller 🏀, Weight lifter🏋️, Music Aficionado 🎤🎸🎹, Hiker 🥾, Extrovert 🗣️, Foodie 🌯🍨, Purveyor of Irrelevant Personal Info

Ithaca, NY
Joined June 2018
Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)Photo by Dr. Aaron G. Beckner (he/him/his) (@AaronBeckner1)
I am thrilled to announce that I will be joining the Psychology Department at @oberlincollege as an Assistant Professor starting in July!!!!!!
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Do you like hip hop, data science, or both? If the answer to any of these questions is “yes”, you should check out my first blog post. My goal in starting up this blog is to have fun, flex my data science skills, learn and teach R, and seek answers to real-world questions that
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Drake, J. Cole, and Kendrick Lamar. Parts 2 and 3 will outline how to statistically assess their Spotify data; pull lyrics from the Genius API; and use natural language processing to yield insights about lyrical hip hop, measure lexical richness, and train an algorithm to
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(hopefully) to classify hip hop artists’ music. You can expect code walk-throughs and occasional (and unnecessary) purveyance of personal information about myself and my interests in this and my upcoming blog posts. Let me know what you think! aaronbeckner.netlify.app/pos…
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Does anyone have any recommendations for how to clean and select a small subset of information from massive JSON files without having to import the full data into an IDE (e.g., R Studio)? Executing Python in terminal is an option, but ideally looking for simple solutions.
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Feeling inspired and motivated after meeting with my PI this week, so I’ve decided to revisit this book because my dissertation writing previously interrupted my initial attempt to read it cover to cover. audible.com/pd/B0163GKOVE?so…
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money somewhere and we don’t, so you’re not going to get to re-appeal your financial aid”. This is unacceptable, and the fact that this student also happens to be a first-generation college student and woman of color from a low-income background makes it so much worse.
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What world do we live in where it’s acceptable to talk to ANYONE that way and who in their right mind WOULDN’T do everything in their power to reduce their financial burden when they’re being asked to pay nearly 100 thousand dollars a year for tuition?! More importantly, what
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Dr. Aaron G. Beckner (he/him/his) retweeted
Super excited to share that the 𝗦𝗘𝗩𝗔 dataset and benchmark will be presented at #NeurIPS2023!✏️🧠🤖 🌐Website - seva-benchmark.github.io/ 📜Paper - arxiv.org/abs/2312.03035 💻Code + Materials - github.com/cogtoolslab/visua…
Humans use pictures to convey visual concepts at different levels of abstraction — think about the diff btw a cat icon and a portrait of *your* cat! To what degree can vision models handle this kind of variation in visual abstraction? Find out in our #CogSci2023 paper. 🧵below
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I’m working with an undergrad honors thesis student who is analyzing some parent-child dyad questionnaire data. A parent and child each filled out a questionnaire containing at least two types of questions, but parents also received a third type of question that are related - but
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analysis, partial least squares, or representational similarity analysis - but we’re in uncharted waters, here. Is anyone familiar with any research examining dyads using questionnaires of approaches for multivariate analysis of questionnaire data?
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I know we can probably just create composite scores, but it feels like there has to be a better way to examine similarities between parent and child responses.
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I just want to take a moment to congratulate @MDeBoltC on completing her dissertation. She may have been my "younger" lab sibling, but in many ways she was much more like an "older" lab sibling to me. She was already working as a lab manager with @oakeslisa when I transitioned
I submitted my dissertation today, marking the end of my graduate school training. The past six years have been the best of my life, and I'm excited for what comes next! 🎓 🍾 #PhDone
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into the lab during my second year of graduate school. I learned so much from her as a lab manager and later through our work together as PhD students. She is not only an AMAZING scientist, but I'm proud to call her one of my dearest friends. Congratulations, Dr. DeBolt!
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amount of time deeply exploring the data helps. I was also incredibly fortunate to have the opportunity to utilize data that was originally collected as part of a nutrition intervention study (Prado et al., 2020) and to have an amazing team of collaborators whose herculean effort
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in designing the study and/or collecting data from hundreds of participants in rural Malawi made this paper possible Charles Arnold, @MeganBragg17, @BessCaswell, Zhijun Chen, Katherine Cox, @MDeBoltC, Matthews George, Kenneth Maleta, @CP_Stewart, @oakeslisa, and @pradobeth1
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