Présentation de 3kd à la Master Class sur les nouvelles narrations.
Comment l'utilisation de capteurs électroniques peut influencer le story telling, l'investigation ou le fact checking.
24. Sensor journalism - de l’ingénieur à l’auteur
Collecte des données
Quand? Pourquoi?
• Sources ne sont pas disponibles / n’existent pas
• Sources officielles sont douteuses (Flying Beijin)
• Sources ne sont pas assez localisées
25. Sensor journalism - de l’ingénieur à l’auteur
Collecte des données
Comment ?
Typologie des projets existants
26. Sensor journalism - de l’ingénieur à l’auteur
Collecte des données
Comment ?
Typologie des projets existants
- Journalists using sensors
- People using sensors: crowdsourcing des données
- Existing sensor networks
- Mobile sensing
- Remote sensing
- Wearables and data donation
27. Sensor journalism - de l’ingénieur à l’auteur
Collecte des données
Comment ?
La technologie à la portée de tous
(ex. arduino)
28. Sensor journalism - de l’ingénieur à l’auteur
Présentation des données
Web
• http://d3js.org
• http://p5js.org
• http://knightlab.northwestern.edu
Concept
Un capteur : a sensor is something that reacts predictably to the state of the world
Le concept n’est pas neuf, songeons à la météo; aux sismographes; aux informations sur la qualité de l’air ou de l’eau…
mais: démocratisation de la technologie rend cela accessible à tout un chacun
Oui!
c’en est une mouture:
• on traite une grande quantité de données dont la collecte est automatisée.
• on fait appel à des équipes pluridisciplinaires (stats; designers; développeurs…)
Oui!
les données ne parlent pas d’elles-mêmes: une approche journalistique est nécessaire pour donner l’angle d’attaque pour l’interprétation; pour raconter une histoire ou démontrer un propos.
Il ne s’agit que d’un outil.
mais au sens large, peut servir à toute production de contenu; nouvelles formes de story telling
Oui!
mais pas seulement…
l’outil permet également de vérifier la véracité d’une information
mais effectivement, la plupart des projets existant sont entrepris dans le cadre d’une démarche militante; sociétale, écologiste…
Senseable lab: « The real-time city is now real! The increasing deployment of sensors and hand-held electronics in recent years is allowing a new approach to the study of the built environment. The way we describe and understand cities is being radically transformed - alongside the tools we use to design them and impact on their physical structure. Studying these changes from a critical point of view and anticipating them is the goal of the SENSEable City Laboratory, a new research initiative at the Massachusetts Institute of Technology. » exemples: étude en collaboration avec les opérateurs télécom en UK et italie pour analyse des comportements lors des grands événements sportifs (world-cup 2014); étude des flux de voitures aux feux rouges etc etc
Knight Foundation: supports journalism; media innovation, engaged communities and fosters the arts.
We fund projects of all sizes that advance Knight Foundation’s goal of promoting informed and engaged communities to support a healthy democracy.
Knight-Mozilla fellowship: The Knight-Mozilla Fellowships bring together developers, technologists, civic hackers, and data crunchers to spend 10 months working on open source code with partner newsroom. Knight-Mozilla Fellows write code, spread ideas, and help build community during their fellowship year
Lab Davanac: prof invité @ihecs, science-po paris, ex ovni, rtbf… au fait de l’utilisation des nouvelles techno dans la pratique du journalisme, organise des « road trips interactifs » essentiellement GPS, mais aussi parfois drones etc.
cocorico
Documentaire interactif de 20 minute retraçant 8 ans de la vie d’une femelle grizzly tracée et et quantifiée comme des données : capteurs (gps; son…), caméras déclenchant au mouvement sur son territoire, etc etc ont permis la réalisation de ce superbe documentaire
Geo tagging de déchets => pose la question de ce qu’il arrive à nos déchets une fois jetés.
« The project is an initial investigation into understanding the 'removal-chain' in urban areas and it represents a type of change that is taking place in cities: a bottom-up approach to managing resources and promoting behavioral change through pervasive technologies. TrashTrack builds on previous work of the SENSEable City Lab in its exploration of how the increasing deployment of sensors and mobile technologies radically transforms how we understand and describe cities. »
Projet écologiste démarré sur kickstarter. Que j’aime particulièrement à cause de la dimension philosophique qu’il comporte: « un arbre qui tombe dans la forêt fait-il du bruit? »
Rainforest Connection (RFCx) transforms recycled cell-phones into autonomous, solar-powered listening devices that can monitor and pinpoint chainsaw activity at great distance.
This changes the game by providing the world's first real-time logging detection system, pinpointing deforestation activity as it occurs, and providing the data openly, freely, and immediately to anyone around the world.
Utilise les capteurs de téléphones accrochés aux arbres et alimentés par panneaux solaires pour avertir les autorités lorsqu’un bruit de tronçonneuse est détecté
quand les sources ne sont pas disponibles / n’existent pas
Quand les sources officielles sont douteuses (cerfs-volants qualité de l’air en chine)
quand les sources ne sont pas assez locales (qualité de l’air publiée globalement en omettant les taux de plomb aux abords d’une usine)
Journalists using sensors: collect data in the field, analyze the data (either independently or with a collaborator), and report on or visualize the data (drone journalism: manifestations, catastrophes etc..) [Morgan Spurlock -> supersize me en quantified self]
People using sensors: crowdsourcing des données. achat ou construction des capteurs par le grand public afin de collecter un grand nombre de données de manière indépendante [fukushima]. La demande peut provenir d’une initiative citoyenne ou d’une newsroom et est souvent relayée via internet. For example, the Open Water Project aims to “develop and curate a set of low-cost, open source tools enabling communities everywhere to collect, interpret, and share their water quality data. On parle de RIFLE (remote, independent, field friendly, logger electronics)
Existing sensor networks : There are also sensor networks already embedded in spaces around us. Most are controlled by city-level groups or private companies, but in some cases, journalists may be able to get access to these data streams for their stories. SensingCity in Christchurch, New Zealand, that endeavors to place sensors almost everywhere within the city to track, well, everything. It operates on three core principles, however: (1) all data are open and accessible to the public (2) never track individuals, and (3) track everything.
Mobile sensing : sensors is already embedded in our smartphones. Potentially, this would enable anyone with access to one to report on data
Remote sensing: Remote sensing is carried out by sensors aboard various platforms: planes, boats and Argo floats. As is the case with existing sensor networks (above), these remote sensors are often controlled by organizations or corporations. However, it is possible to get access to the data that they collect, as is the case with weather data from geosynchronous satellites
Wearables and data donation: Whether you are oblivious to or wary of the potential privacy issues concerning wearables like the FitBit, JawBone, the iWatch, and Google Glass, it is no mystery that these devices have grown in popularity. On the one hand, this means that it’s possible for someone (or more than one person) to co-opt an individual’s data stream for secondary use. However, if an individual decided that they wanted to donate their data for some purpose, this could be another way of generating and getting access to sensor data. Beyond healthcare, another example might involve an environmental sensor designed for personal use, like the Air Quality Egg
Journalists using sensors: collect data in the field, analyze the data (either independently or with a collaborator), and report on or visualize the data (drone journalism: manifestations, catastrophes etc..) [Morgan Spurlock -> supersize me en quantified self]
People using sensors: crowdsourcing des données. achat ou construction des capteurs par le grand public afin de collecter un grand nombre de données de manière indépendante [fukushima]. La demande peut provenir d’une initiative citoyenne ou d’une newsroom et est souvent relayée via internet. For example, the Open Water Project aims to “develop and curate a set of low-cost, open source tools enabling communities everywhere to collect, interpret, and share their water quality data. On parle de RIFLE (remote, independent, field friendly, logger electronics)
Existing sensor networks : There are also sensor networks already embedded in spaces around us. Most are controlled by city-level groups or private companies, but in some cases, journalists may be able to get access to these data streams for their stories. SensingCity in Christchurch, New Zealand, that endeavors to place sensors almost everywhere within the city to track, well, everything. It operates on three core principles, however: (1) all data are open and accessible to the public (2) never track individuals, and (3) track everything.
Mobile sensing : sensors is already embedded in our smartphones. Potentially, this would enable anyone with access to one to report on data
Remote sensing: Remote sensing is carried out by sensors aboard various platforms: planes, boats and Argo floats. As is the case with existing sensor networks (above), these remote sensors are often controlled by organizations or corporations. However, it is possible to get access to the data that they collect, as is the case with weather data from geosynchronous satellites
Wearables and data donation: Whether you are oblivious to or wary of the potential privacy issues concerning wearables like the FitBit, JawBone, the iWatch, and Google Glass, it is no mystery that these devices have grown in popularity. On the one hand, this means that it’s possible for someone (or more than one person) to co-opt an individual’s data stream for secondary use. However, if an individual decided that they wanted to donate their data for some purpose, this could be another way of generating and getting access to sensor data. Beyond healthcare, another example might involve an environmental sensor designed for personal use, like the Air Quality Egg
présentation Arduino;
exemples de capteurs (son; lumière; vibration; CO; ammoniac; éthylomètres; thermomètres etc, etc, etc, etc). DX. eu