[**Emily L. Spratt**](https://datascience.columbia.edu/emily-l-spratt), the Data Science Institute Research Fellow in collaboration with Historic Preservation and Computer Science, presented on ethical issues involved in the recording of historical monuments with new technologies at the [*27th International CIPA symposium in Avila, Spain*](https://www.cipa2019.org/). She also spoke at the [*Wiki conference*](https://wikimania.wikimedia.org/wiki/2019:Program) in Stockholm, Sweden about image rights, ethics and AI enhanced technologies, and the relation of the history of the museum to the current debate on open access and use of digital images of art. The Data Science Institute wrote a [feature story](https://datascience.columbia.edu/dsi-postdoc-emily-spratt-bridges-divide-between-humanists-and-technologists-and-uses-machine-learnin) on Spratt’s role in bridging the divide between the arts and sciences, and her unique path to the burgeoning field of applied machine learning.