Data Science and Systems Science

A talk about how system science and data science are connected.

data-science
systems
Published

February 28, 2018

I gave a talk for the Portland State University Systems Science seminar called How are Data Science and Systems Science Connected?. In this talk, I was highlighting current blind spots in Data Science that I think Systems Science approaches can address, especially that of interactions between features. I talked a little about my dissertation research (surrogate oncogenes), and the problem of black-box interpretability of predictive models.

If you’re interested in listening to the recording, the playback is available here: https://us.bbcollab.com/recording/059acf5cfed64f9abbf7cf432fdfb566

Slides are here: https://laderast.github.io/sysc_data_sci

Citation

BibTeX citation:
@online{laderas2018,
  author = {Ted Laderas},
  title = {Data {Science} and {Systems} {Science}},
  date = {2018-02-28},
  url = {https://laderast.github.io//posts/2018-02-28-data-science-and-systems-science},
  langid = {en}
}
For attribution, please cite this work as:
Ted Laderas. 2018. “Data Science and Systems Science.” February 28, 2018. https://laderast.github.io//posts/2018-02-28-data-science-and-systems-science.