# A socio-technical framework for digital contact tracing

arXiv: https://arxiv.org/abs/2005.08370 · HTML: https://mlsanity.com/paper/2005.08370/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 May 2020.

## Built on by (most cited first, 2 of 2)

- [Interpretable deep-learning models to help achieve the Sustainable Development Goals](https://mlsanity.com/paper/2108.10744/) (2021)
- [Automatic Contact Tracing using Bluetooth Low Energy Signals and IMU Sensor Readings](https://mlsanity.com/paper/2206.06033/) (2022)

## Abstract (arXiv)

In their efforts to tackle the COVID-19 crisis, decision makers are considering the development and use of smartphone applications for contact tracing. Even though these applications differ in technology and methods, there is an increasing concern about their implications for privacy and human rights. Here we propose a framework to evaluate their suitability in terms of impact on the users, employed technology and governance methods. We illustrate its usage with three applications, and with the European Data Protection Board (EDPB) guidelines, highlighting their limitations.