Tag Archives: Dragon Trainer

Debugging democracy: riprogettare la partecipazione con la network analysis

Qualche settimana fa ho presentato al TEDx Bologna. Ne ho approfittato per provare a mettere insieme i pezzi del mio percorso degli ultimi cinque-sei anni per vedere se ne usciva qualcosa di coerente.

Quello che è uscito è il video qui sopra. Detto in pillole: l’intelligenza collettiva è l’arma migliore che abbiamo per affrontare i molti e gravi problemi che minacciano la nostra specie, e che trascendono la scala individuale. Riscaldamento globale, finanza fuori controllo, disuguaglianze in aumento; non possiamo toccare questi fenomeni, perché non esistono alla stessa scala a cui esistiamo noi, ma a una superiore – un po’ come i neuroni non possono capire, né tantomeno governare, il cervello. Purtroppo la democrazia rappresentativa è congegnata in un modo che non consente l’emergere di soluzioni collettive all’interno delle istituzioni democratiche (nel senso in cui Wikipedia è una soluzione collettiva al problema di scrivere e tenere aggiornata un’enciclopedia). La democrazia partecipativa in teoria potrebbe portare a queste soluzioni, ma non scala. Per farla scalare possiamo usare Internet. Prima progettiamo ambienti di interazione online per sviluppare soluzioni collettive; poi misuriamo le dinamiche sociali che questi ambienti ospitano e favoriscono, come barriere coralline colonizzate da molte specie. Ho scritto misurare, perché, grazie all’analisi di rete, le dinamiche di interazione sociale si possono misurare, anche per comunità piuttosto grandi.

Forse, usando queste tecniche, potremo finalmente realizzare il sogno di una democrazia partecipativa che funziona su scala grande. Dopo venticinque secoli! Sicuramente vale la pena di provarci.A few weeks ago I presented at TEDx Bologna. I used the opportunity to try and stitch together the pieces of my intellectual journey of the past five-six years, and see if they form some coherent pattern.

The result was the video above. In a nutshell: collective intelligence is the most promising weapon we have to face the many dire problems threatening our species, and that transcend the individual scale. Climate change, feral finance, mounting inequalities; we can’t touch these (and others), because they don’t exist at the same scale as us – they emerge from the interaction of billions of us. To address these problems, it seems intuitive that we should deploy an equally emergent, same-level collective intelligence. Unfortunately, representative democracy is concocted in such a way that does not allow the emergence of solutions (in the sense that Wikipedia is an emergent solution to the problem of writing an encyclopedia) within democratic institutions. Participatory democracy could, in theory, lead to such a result, but it does not scale. To make it scale we can use the Internet. First, we design online interaction environments from which we think collective solutions might emerge; then we measure the social dynamics the these environments host and foster, as if they were coral reefs colonized by many species. I wrote “measure” because, thanks to network analysis, social interaction dynamics have become measurable, even for large communities.

Maybe, using these techniques, we’ll finally be able to make the dream of a working, large-scale participatory democracy come true. We have held on to it for twenty-five centuries! It’s certainly worth trying.

Debugging democracy with network analysis

A few weeks ago I presented at TEDx Bologna. I used the opportunity to try and stitch together the pieces of my intellectual journey of the past five-six years, and see if they form some coherent pattern.

The result was the video above. In a nutshell: collective intelligence is the most promising weapon we have to face the many dire problems threatening our species, and that transcend the individual scale. Climate change, feral finance, mounting inequalities; we can’t touch these (and others), because they don’t exist at the same scale as us – they emerge from the interaction of billions of us. To address these problems, it seems intuitive that we should deploy an equally emergent, same-level collective intelligence. Unfortunately, representative democracy is concocted in such a way that does not allow the emergence of solutions (in the sense that Wikipedia is an emergent solution to the problem of writing an encyclopedia) within democratic institutions. Participatory democracy could, in theory, lead to such a result, but it does not scale. To make it scale we can use the Internet. First, we design online interaction environments from which we think collective solutions might emerge; then we measure the social dynamics the these environments host and foster, as if they were coral reefs colonized by many species. I wrote “measure” because, thanks to network analysis, social interaction dynamics have become measurable, even for large communities.

Maybe, using these techniques, we’ll finally be able to make the dream of a working, large-scale participatory democracy come true. We have held on to it for twenty-five centuries! It’s certainly worth trying.

Walking the wire: network science, online communities and democracy

Last Saturday I took part in TEDx Bologna. Rather than play safe talking about the topics I developed in my book Wikicrazia, I talked about a connection that I am still exploring, and find absolutely fascinating. I am wondering whether we can:

  1. using network science to herd the social dynamics in open online communities (how?). Get them to look at issues care about; and to accept certain rules of mutual engagement, like basing your argument on evidence. Can we use online communities as tools for analysis and solution design to collective problems, as if they were computers composed of people?
  2. embed these online communities in a framework of democratic legitimacy, using them as open spaces for citizens to participate in taking apart societal problems and designing solutions. Legitimacy here means that such communities must be participated, and so somehow led, by democratically elected institutions.

Participants to these communities sign off to a deal: they accept interaction to be directed, rather than totally free (for example, these places are not the right ones to post pictures of cats). In exchange, they get to participate in a discussion which is close to, and participated by, public decision makers. So, such communities can make credible promises – carefully ringfenced and realistic – of the kind: “the gift of your time and effort will be reciprocated with influence on the decision we make in the name of the people and in the common interest”.

I realize this is a long shot: from network science to participatory democracy, through online communities. I hope my aim is true. The talk’s video will take about a month to get through post-production. The image below is just an appetizer.