IoT LAB

Crowdsourcing nyheter

Publicerad: 2 maj 2014

För den senaste inom Crowdsourcing, följ CDT-projektet IoT LAB på Twitter.

För er som gillar Twitter och är intresserad av Crowdsourcing relaterade ämne, bli en anhängare av CDT-projektet "sakernas Internet LAB" 's Twitter-konto: https://twitter.com/IoTLAB

 

About IoT Lab

IoT Lab is a FP7 research project exploring the potential of crowdsourcing to extend IoT testbed infrastructure for multidisciplinary experiments with more end-user interactions

 

It started in October 2013 and will run for 36 months involving 8 partners from  6 countries. CDT is responsible for WP5 on End user and Societal added value analysis and mainly involved in performing multidisciplinary experiments, including end-user driven experiments through crowdsourcing, to assess the added value of such approach. LTU-researchers involved are from Social Informatics.

The project mission is to research and develop:

  • Crowdsourcing mechanisms and tools enabling testbeds to use third parties resources (such as mobile phones), and to interact with distributed users (the crowd).
  • Virtualization of crowdsourcing and testbed components
  • Ubiquitous Interconnection and Cloudification of the testbeds resources.
  • End-user and societal value creation by analyzing the potential end-users and crowdsourcing participants to propose an optimized model for end-user adoption and societal value creation.
  • “Crowdsourcing-driven research” as a new model in which the research can be initiated, guided and assessed by the crowd. It will compare it to other models.
  • Economic dimension of crowdsourcing testbed, by analyzing the potential markets and business models able to monetize the provided resources with adequate incentives, in order to optimize the exploitation, costs, profitability and economic sustainability of such testbeds.
  • Performing multidisciplinary experiments, including end-user driven experiments through crowdsourcing, to assess the added value of such approach.

CDT Project Manager: Annika Sällström
LTU Scientific director: Anna Ståhlbröst, Assistant Professor Social Informatics