Speaker:  Andrzej Rucinski – Strafford, NH, United States
Topic(s):  Society and the Computing Profession


Internet of Things (IoT) is an expanding space for researchers, students, and professionals.  Development of IoT applications is hindered by the lack of available design tools, methodologies, and interoperability.  The creation of a standards-based, open source hardware and software platform paired with full documentation and educational materials greatly aids in the accelerated development of IoT applications and provides a fertile ground for Science Technology Engineering and Math (STEM) educational opportunities. The developed collaboratory is an IoT based open source, service ecosystem which can be used as both research and education development platform. According to Wikipedia, 
…Collaboratory, as defined by William Wulf in 1989, is a “center without walls, in which the nation’s researchers can perform their research without regard to physical location, interacting with colleagues, accessing instrumentation, sharing data and computational resources, [and] accessing information in digital libraries…
The IoT based collaboratory developed at the University of New Hampshire with paradigms and technologies Service Science, Internet Architecture, M2M, and MQTT has been used as part of the T-shaped multidisciplinary curriculum aimed at the establishment of student startups. The universality of the presented concept allows to consider it to address Grand Challenges in education as well as in other disciplines such as eHealth. 
eCollaborative Ventures. Inc. (eCV) is organized as a Collaboratory where members are able to combine expertise within a virtual digital environment to perform research and pursue opportunities of common interest and which provide a benefit to society.  eCV, using the Internet of Things (IoT), will initially focus on the Grand Challenges of eHealth/eMedicine and eEducation/eLearning. The collaboratory is a nucleus for the development of innovative curricula for global grand challenges.

About this Lecture

Number of Slides:  50
Duration:  40 minutes
Languages Available:  English, Polish, Russian
Last Updated: 

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