[...] * Alternative metrics and datasets can be used to identify early warning signs at an earlier stage and lower costs helping to better understanding causal links
The research departments at Microsoft and Google have made significant advances in this area. The work at Google is not typically published but can be found in the work of Seth Stephens-Davidowitz (e.g. the best seller Everybody Lies
https://www.pdfdrive.com/every... ). The work at Microsoft is more available in academic papers - especially the work of Elad Yom-Tov and his co-authors (for example: Baumel, Amit, and Elad Yom-Tov. "Predicting user adherence to behavioral eHealth interventions in the
Alan Hartman, 20/06/2019 11:36
I believe that there should be an effort to use the data available at the real Big Data owners and merchants - Google, Facebook, Amazon and Apple. The big corporations should to pay their taxes in data - not just with cash.
Alan Hartman, 20/06/2019 11:42
UN Global Pulse has a number of nice case studies to illustrate this point.
Basanta Thapa, 03/07/2019 10:33
Data taxes or data donations?
Mariam El Ouirdi, 08/07/2019 20:25
Great point Alan Hartman, i fully agree!
Christos Botsikas, 22/07/2019 14:39
One important outcome of this interesting discussion is that sometimes you just have to avoid re-inventing the wheel. It might cost, but adopting solutions from research organisations and/or businesses could do the trick.
Evmorfia Biliri, 24/07/2019 21:10
