Okoli, C. (2015). A Guide to Conducting a Standalone Systematic Literature Review. Communications of the Association for Information Systems, 37. 10.17705/1CAIS.03743. Retrieved from https://aisel.aisnet.org/cais/vol37/iss1/43

# Annotations

Annotation Summary	date
∎ A Guide to Conducting a Standalone Systematic Literature Review - Okoli - 2015 - Reading Session 202402071220	-

∎ Data Science and Prediction - Dhar - 2013 - Reading Session 202301271312

Last updated Jan 27, 2023 | Originally published Jan 27, 2023

In situations where we are able to design randomized trials, big data makes it feasible to uncover the causal models generating the data.

The author doesn’t make this point very big but it is actually quite important. There are many cases in which it is unethical to undertake a conventional scientific study of certain phenomena… Even though we know that those phenomena are happening anyway. If the data is collected “naturally,” however, we may be able to trace and track patterns in these data without putting ourselves in precarious ethical situations

𖠫 How do we know where there is potential to intervene and leverage impact in a changing system The practitioners perspective - Birney - 2021

Published Jul 13, 2022

How do we know where there is potential to intervene and leverage impact in a changing system? The practitioners perspective - Birney - 2021.pdf

Birney, A. (2021). How do we know where there is potential to intervene and leverage impact in a changing system? The practitioners perspective. Sustainability Science, 16(3), 749-765. 10.1007/s11625-021-00956-5