A digital Ariadne’s thread to fight the Coronavirus

diary

diAry, “Digital Ariadne”, is a mobile application that allows you to keep track, on your device, of your movements and provide help in case of epidemiological investigation, when it is essential to trace the places and people frequented during the incubation period.

Data is stored on the user’s personal device, which can freely decide to consult, export and possibly cross-reference it with information of public utility. Like an Ariadne’s thread, the data stored on your smartphone offers a reliable track to get out of the labyrinth of the COVID-19.

The application, developed at the University of Urbino, provides a reward mechanism for responsible behaviour through the issue of WOM (acronym of Worth One Minute), special certificates that recognize the social value of individual actions.

WOMs could be used, in the developers’ idea, as vouchers, to which operators and service providers can attribute a value by granting discounts and facilities.

diAry automatically detects the user’s location and movements without interfering with normal smartphone operation and by sampling the location smartly, i.e. only when it changes significantly, so as to consume minimal resources and memory. The data is recorded locally and can be transferred to a central database, anonymously and voluntarily, so as to contribute to the construction of an open data set.

L’applicazione permette all’utente di etichettare tutti i luoghi in cui si ferma per almeno 5 minuti e ne mantiene memoria riconoscendoli nei giorni successivi. Calcola statistiche giornaliere del tempo trascorso in ciascun luogo o in movimento, riconoscendo se gli spostamenti avvengono a piedi, in bicicletta o su veicoli a motore (che permette di classificare).

Digital Ariadne is developed on a non-profit basis by the University of Urbino and DIGIT srl, innovative start-up born from a university spinoff, with the voluntary contribution of civic hackers, developers and researchers. The application is distributed for free. The specification and algorithms are public. The source code will be released in April 2020 to allow the open-source community to contribute to the project.

All collected statistics will be made available as an open data set. The WOM platform, used to recognize the social value of individual behaviour, is also an open source technology.

diAry non richiede la registrazione o la creazione di account, poichè conserva sul dispositivo personale tutti i dati che raccoglie. L’app non prevede alcuna modalità di caricamento in rete delle tracce. Consente solo di estrarle in formato csv per lasciarne all’utente piena libertà di utilizzo all’esterno dell’app. Le statistiche che vengono calcolate quotidianamente non contengono dati personali, nè informazioni puntuali che consentano di risalire alla persona a cui si riferiscono, ai suoi spostamenti, o a i luoghi che ha visitato. Solo queste informazioni statistiche possono essere conferite ad un server, in modo anonimo e su esplicita richiesta dell’utente, al fine di contribuire a formare un open data set.

Here you can find more information and find out how to contribute to the project.

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