Phrasing: Communicating data science through tweets, gifs, and classic misdirection

About

Equal parts history and mystery, noted data sciolist, Mara Averick, will take you on a whirlwind tour through the lighter side of learning and communicating (data) science. From the 19th-century pages of Science Gossip to modern-day social media, you’ll find out how the nature of scientific communities has and hasn’t changed over the past 200 years, and discover how “learning out loud” can help you navigate an ever-increasing amount of information, or (at the very least) keep you entertained while so doing.

Video

Phrasing: Communicating data science through tweets, gifs, and classic misdirection - Posit

For videos from the rest of the conference, visit rstudio::conf(2018) talks.

Slides

Slides in PDF format with working links can be found at http://bit.ly/phrasing-ds.

References

Pintscher, Lydia, ed. 2012. Open Advice: FOSS: What We Wish We Had Known When We Started. http://www.open-advice.org/.

Ross, Noam, Scott Chamberlain, Karthik Ram, and Maëlle Salmon. 2017. “How rOpenSci uses Code Review to Promote Reproducible Science.” rOpenSci, September. https://doi.org/10.59350/bqjqp-2be69.

Reuse

CC BY SA

Citation

BibTeX citation:

@online{averick2018,
  author = {Averick, Mara},
  title = {Phrasing: {Communicating} Data Science Through Tweets, Gifs,
    and Classic Misdirection},
  date = {2018-02-02},
  url = {https://dataand.me/talks/2018-02_phrasing-rstudioconf/},
  langid = {en-US}
}

For attribution, please cite this work as:

Averick, Mara. 2018. “Phrasing: Communicating data science through tweets, gifs, and classic misdirection.” February 2, 2018. https://dataand.me/talks/2018-02_phrasing-rstudioconf/.