I taught two 8-wk courses this fall @johnshopkinssph and wanted to share the resources (built in #quarto !) in case others starting in #Rstats #DataScience find it useful

🤩 Intro to R
https://stephaniehicks.com/jhustatcomputing2022/schedule

💃 More adv R #Git #CommandLine #SQL #APIs
https://stephaniehicks.com/jhustatprogramming2022/schedule

My first post was my cat , so this is a first science post of overview papers I've worked on in some of the areas I study 🤓

Ethical machine learning in healthcare https://www.annualreviews.org/doi/abs/10.1146/annurev-biodatasci-092820-114757?journalCode=biodatasci

ML + causal inference https://academic.oup.com/ije/article/49/6/2058/5531243?login=false

Double robust causal inference https://academic.oup.com/aje/article/185/1/65/2662306

Generalizability + transportability
https://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-042522-103837 (arXiv: https://arxiv.org/abs/2102.11904)

Plan payment risk adjustment
https://www.sciencedirect.com/science/article/pii/B9780128113257000038

ML + epi + health services
https://academic.oup.com/ije/article/49/6/1763/5814327?login=false

RT @[email protected]

If you are an early-career faculty, check out our updated database of funding opportunities specifically focused on you.

We found 567 funding opportunities! (w/ description, deadline, amount, eligibility)

Here: https://research.jhu.edu/rdt/funding-opportunities/early-career/

🐦🔗: https://twitter.com/deniswirtz/status/1582454967582937089

An incomplete list of people who recently joined Mastodon in the technology policy or ethical AI/ML space, whom I followed and think you should check out!

Feel encouraged to reply with more suggestions / people I missed!

@KLdivergence
@geomblog
@ruchowdh
@roydanroy
@sherrirose @etchin
@RebekahTweed
@annajobin
@crystaljjlee
@mmakar
@ubiquity75
@ggrill
@evijitghosh
@hpullenblasnik