ISESs 2013 Presentation of the challenges we encountered while developing the Mobile Data Acquisition Framework (MDAF => new name is "ubicity") in ENVIROFI project.
Related to "robust and trusted crowd-sourcing and crowd-tasking in the future internet" ISESs paper.
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
2013-10-10 robust and trusted crowd-sourcing and crowd-tasking in the future internet
1. “ENVIROfying” the Future Internet
THE ENVIRONMENTAL OBSERVATION WEB
FOR THE CROSS-DOMAIN FI-PPP APPLICATIONS
Robust and trusted crowd-sourcing and crowd-
tasking in the Future Internet
ISESS 2013, Oct. 09-11 2013
Denis Havlik, Maria Egly, Hermann Huber, Peter Kutschera, Markus
Falgenhauer, Markus Cizek (all AIT Austrian Institute of Technology GmbH.)
22. 1. The ideas presented today were developed and
partially realized as Mobile Data Acquisition
System (MDAF) in the scope of the European
Community's Seventh Framework Programme
(FP7/2007-2013) under Grant Agreement Number
284898 (ENVIROFI)
2. The importance of microlearning really became
clear to me very recently, thanks to Dr. Christian
Voigt and the microlearning 7.0 conference.
3. MDAF contributors: Eun Yu, Clemens Bernhard
Geyer, Peter Kutschera, Markus Falgenhauer,
Markus Cizek, Ralf Vamosi, Maria Egly, Hermann
Huber and most recently Jan von Oort.
• Currently active developers are underlined.
Acknowledgements
22
24. Thank you for your attention
Dr. Denis Havlik
denis.havlik@ait.ac.at
The research leading to these results has received funding from the European Community's Seventh
Framework Programme (FP7/2007-2013) under Grant Agreement Number 284898
www.envirofi.eu
Notas del editor
Two out of three ENVIROFI scenarios are strongly biased towards citizen scientists, mobile crowdsourcing and crowdtasking and local situation awareness.
In some senses, humans are „bad sensors“. They are non-standardized, difficult to calibrate, don‘t like the idea of working 24/7, easily bored and their accuracy and sensitivity erratically varies over time. However, they also excell at pattern recognition and interpretation of the results.
This makes them complementary to hardware sensors and very valuable for some types of applications.
Unlike standard monitoring systems, the human sensors (and to a lesser extent also information from user-owned sensors) inevitably deliver conflicting and incomplete information. The Quality assurance of such data often relies on combination of peer review, expert opinions and various indicators.
In MDAF, all these results can happily co-exist even if they are contradicting each other. The decision „what is the reality?“ is only made at the level of „application specific view“, taking into account the owners interests and trust in various data sources.
As a result, it is perfectly possible to generate several conflicting „realities“ from the same data set. E.g. a Greanpeace applicaiton will show different reality than a fisherman association applicaiton simply because they make different assumprions concerning the relative importance and trustworthiness of the data.
The „applicaiton specific view“ has not been fully implemented, but the technology is the same as the one used for the quality assurance part.
The architecture shown here goes beyond the ENVIROFI pilots and indicates our ideas what woudl be possible to do with FI-Ware GEs in the future.
This demo has been developed within the project scope and brought to working PoC status. We are confident that the concept will work well when we start making „real“ applicaitons. In fact, we (AIT) are using this in CRISMA project now, so the number of available widgets and our know-how steadily rises…
Tasking of volunteers and experts is a key to data collection and quality assurance. It is crucial to task the users which are both able and willing to perform this task, while avoiding the information overflow.
In ENVIROFI, AIT was able to develop a concept and basic technology which will allow us to implement the context- and profile- specific tasking in the future projects.
I‘m not sure which is the license for the slides which I „inherited“ here, sorry. I‘m sure that *I* can use them, and I presume the right to re-use them will be granted to anyone who asks. Please contact the respective consortium leaders.