4th GEOSS Science and Technology Stakeholder Workshop
March 24-26, 2015, Norfolk, VA, USA

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Breakout Sessions Block 1: Emerging revolutions: challenges and opportunities for GEOSS

The breakout sessions in this block looked at several anticipated revolutions and the impacts these might have in general on the way Earth observations are being conducted, and more specifically, on how the next GEOSS should be designed and implemented.

Breakout Session 1.1: Cloud and Big Data Revolutions

Co-Chairs: Lorenzo Bigagli; Rapporteur: Bob Chen

This session focused on both the origin of big data, including that coming from new technologies such a drones, microsensors, sensor nets, the IoT and IoP (including citizen observatories and social media), and the handling of big data. Questions to be considering included how open data can be utilized as an as an engine for innovation, and how e-Infrastructures for e-Science can facilitated the use of big data at a larger scale. An important question is ownership of personal information that might become available through the integration of the IoT and the Internet of People (IoP).

Breakout Session 1.2: Secure Consumerization: the Genuine Trustworthiness Revolution

Co-Chairs: Craig Lee; Rapporteur: Paolo Mazzetti

The cloud is the natural environment for consumerized (i.e. Bring your own device -BYOD and bring your own app -BYOA) deployment. For many applications it is the only environment that permits realistic testing. Community productivity will increase by following enterprise device consumerization trends. However, security is getting a more and more important challenge. An important question is how to protect sensitive information for all user activities on all devices using all applications." Security is a key factor to grow a Genuine Trustworthiness among scientists and enable virtual research environments and collaborative researches.

Breakout Session 1.3: Social Revolution: Crowdsourcing Movement and Earth Observation

Co-Chairs: Michel Schouppe; Rapporteur: Stefano Nativi

Crowd sourcing can provide more and new data, and it can help to improve data quality. New sensors might support crowd sourcing, for example for observations related to pollution or other environmental parameters. New boards such as Intel's GALILEO and Arduino allow for citizen scientists to contribute to observatons.

Citizens' science and virtual research communities open opportunities for new partnerships to build shared knowledge at the global scale. Private-Public-Partnerships (PPPs) also can help to increase data availablity and the sharing of data and knowledge.

Measurements of opportunity might become available from the Internet of Things, the Internet of People, and the Internet of Models.

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