six things lawyers should know about odr 3.0 marta poblet icrea institute of law and technology...
Post on 15-Jan-2016
213 views
TRANSCRIPT
Six Things Lawyers Should Know about ODR 3.0
Marta Poblet
ICREA
Institute of Law and Technology
Universitat Autònoma de Barcelona
September 15, 2009
2
Malaria parasites are visible in blood smears viewed under a microscope, and the images of malaria-infected blood captured with the cameraphone are potentially good enough to diagnose the disease. The system could also diagnose sickle-cell anaemia from blood samples, while fluorescent images of a stained sputum smear were sufficient to identify the presence of tuberculosis. If the image is coupled with the patient's details and location, the system could also help track the spread of a disease through the population (Breslauer et al., 2009)
Serendipity
The White Book on Mediation
The evolution of the Web
4
ODR 1.0
5
ODR 1.0
6
Internet penetration
7
Mobile phone penetration
8
Open Source Software
9
Open Source Software
10
Open Source Software
11
OSS state-of-the-art
12
Platform Ushahidi Frontline SMS RapidSMS GeoChat Mesh4x Evolve EpiSurveyor Swift CommCare JavaRosa Mobilisr Open Data Kit EMITInitial Developper Ushahidi Kiwanja UNICEF Instedd Instedd Instedd DataDyne Chris Blow and
Kaushal JhallaDimagi and D-Tree OpenRosa
ConsortiumCellLife and
Praekelt Foundation
University of Washington CellLife
Release year 2008 2005 2009 2008 2008 2009 2008 2009 Not yet available 2008 2008 2008 2008Status Beta Version 1.2.1 Alpha Beta Beta Beta Version 0.1 Under development Version 0.1 Private Beta Version 1.0.0 Beta 0.3Main purpose Submit crisis
information through text messaging using a mobile phone, email or web form
Enable mobile users to send and receive text messages with large groups of people through mobile phones.
Support the creation of personalized interdependent platforms for diverse use-cases
Person-to-person, self-organized small-group messaging over SMS
System to system information sharing between databases, desktop applications, websites, and devices
Event detection, analysis and response; allow groups of experts to interact around streams of information
Conduct health surveys for health monitoring
Provide a structured, weighted index about crisis events in real time
Mobile support for community health wokers during home visits
Collect data for surveys, disease manag., medical records manag., etc.
Facilitate communication between citizens and service providers in health, employment or public safety
Help organizations to collect, aggregate and visualize their data
Organisational monitoring and evaluation of public health
Functionalities Text-messaging system + Geolocation
Create forms to be sent to a Java-enabled mobile phone through a text message. Data collection functionalities
Collect quantitative and qualitative data through SMS forms.Text-messaging system
Text-messaging system + Geolocation
System-to-system information sharing
Monitor multiple data streams, analytic, machine-learning, and visualization services
Create a a form in a web browser, access it from a mobile phone, collect data, and transfer them to a central server
Database and user interface to gather and filter streams of data through both machine based algorithms and humans to understand their veracity
Under development Data collection for surveys, disease monitoring, medical records, etc.
Broadcast SMS information, send interactive USSD requests, WAP content and voicemail
Collect a variety of data types; online repository of collected data; database to enable remote device management
Online forms creation, interface for data entry, reports generation
Interoperability FrontlineSMS integration and extension
Integration with Ushahidi Has developed Rapid Android
Mapping applications (i.e. Google Earth), SMS servers and Twitter
Uses ODK tools on Android
First used as a complement to Ushahidi. Builds on Twitter Vote Report
Uses and expands JavaRosa
Used by CommCare and Open Data Kit
Participates in JavaRosa project
ODK Collect is built on Android, ODK Aggregate is implemented on Google App Engine; Used by EpiSurveyor
Semantic Web Standards
RDF, Xforms, Ontologies
FOAF, iCal, Dublin Core, Freebase
Xforms XForms Xforms Xforms
Use Cases Kenya, India, Congo, South Africa
Worldwide (used in + 40 countries)
Ethiopia, Kenya, Nigeria, Somalia Malawi and Uganda
Cambodia, Mongolia, Thailand, Uganda, Switzerland, Pakistan, Italy, Mexico, Ghana, US
Cambodia, Mongolia, Thailand, Uganda, Switzerland, Pakistan, Italy, Mexico, Ghana, US
Mexico Standard by the World Health Organization (WHO) in 13 countries in sub-Saharan Africa,
India Uganda, Tanzania, Pakistan
South Africa South Africa
13
ODR 1.0 vs. ODR 3.0
• Proprietary software
• Stable platforms• PC-based• Predictable
behaviors• Predictable legal
framework (i.e. Directive 2008/52/EC)
• Open source• Open teams• Perpetual beta• Mobile-based• Emergent
behaviors• Which legal
framework should apply?
Internet of Things
15
Internet of Things: the issues
• Governance • Privacy and data protection• The ”silence of the chips”• Standardization and interoperability • Trust• Security
16
