Apollon Project: A Massive Online Open Lab for Citizen Science Driven Environmental Monitoring

The collaborative power of ICT systems is a key enabler of social and technological advances disclosing multiple opportunities for involving students and teachers in STEM, thanks to novel paradigms like citizen science and mobile crowd sensing These paradigms, if applied according to specific methodologies, promise to increase the pervasiveness of current environmental monitoring technological solutions. In this paper, we propose an approach, for enabling universities and schools to develop environmental monitoring experiments based on massive online open labs and citizen science concepts. The approach has been implemented and validated in an educational context, where students participate to scientific research activities. In the paper, we firstly describe the approach to produce successful experiments, the supporting platform and the results achieved in a real context. The effectiveness of the proposed approach is discussed in terms of compliance with a set of reference guidelines addressing the citizen science domain.

[1]  Steven Arthur Loiselle,et al.  The Citizen Science Opportunity for Researchers and Agencies , 2016 .

[2]  J. Berkeley,et al.  Quality of life--a review of the literature. , 1987, Family practice.

[3]  Mario A. Bochicchio,et al.  Empowering active citizenship via BYOD-mediated learning activities: An experience in acoustics , 2017, 2017 IEEE Global Engineering Education Conference (EDUCON).

[4]  Mario A. Bochicchio,et al.  A crowdsensing approach for mobile learning in acoustics and noise monitoring , 2016, SAC.

[5]  Hang Zheng,et al.  Monitoring surface water quality using social media in the context of citizen science , 2016 .

[6]  Maarten C. A. van der Sanden,et al.  How to get and keep citizens involved in mobile crowd sensing for water management? A review of key success factors and motivational aspects , 2017 .

[7]  Luis R. Martinez,et al.  Current Approaches in Implementing Citizen Science in the Classroom , 2016, Journal of microbiology & biology education.

[8]  Miranda C. P. Straub.  Giving Citizen Scientists a Chance: A Study of Volunteer-led Scientific Discovery , 2016 .

[9]  R. Bonney,et al.  6. The Opportunities and Challenges of Citizen Science as a Tool for Ecological Research , 2012 .

[10]  Paola Salomoni,et al.  A Microservice-Based Architecture for the Development of Accessible, Crowdsensing-Based Mobility Platforms , 2016, 2016 International Conference on Collaboration Technologies and Systems (CTS).

[11]  M. Hansen,et al.  Participatory Sensing , 2019, Internet of Things.

[12]  Mario A. Bochicchio,et al.  Collaborative learning from Mobile Crowd Sensing: A case study in electromagnetic monitoring , 2015, 2015 IEEE Global Engineering Education Conference (EDUCON).

[13]  Haosheng Huang,et al.  European Handbook of Crowdsourced Geographic Information , 2016 .

[14]  Sam Newman,et al.  Building Microservices , 2015 .

[15]  Emiliano Miluzzo,et al.  A survey of mobile phone sensing , 2010, IEEE Communications Magazine.

[16]  Pierre Flener,et al.  Optimising quality of information in data collection for mobile sensor networks , 2013, 2013 IEEE/ACM 21st International Symposium on Quality of Service (IWQoS).

[17]  Hai-Ying Liu,et al.  Citizen Participation Approaches in Environmental Health , 2016 .

[18]  David Lowe,et al.  MOOLs: Massive Open Online Laboratories: An analysis of scale and feasibility , 2014, 2014 11th International Conference on Remote Engineering and Virtual Instrumentation (REV).

[19]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[20]  Hauke Riesch,et al.  Combining citizen science and public engagement: the Open AirLaboratories Programme , 2013 .

[21]  Kaoru Sezaki,et al.  Early Fire Alert System During an Evacuation with Mobile Sensing Technology , 2017 .

[22]  Bratislav Predic,et al.  Mobile crowd sensing for smart urban mobility , 2016 .

[23]  Kevin Crowston,et al.  The future of citizen science: emerging technologies and shifting paradigms , 2012, Frontiers in Ecology and the Environment.

[24]  Delphine Christin,et al.  Privacy in mobile participatory sensing , 2016 .

[25]  Marco Jahn,et al.  Designing a Smart City Internet of Things Platform with Microservice Architecture , 2015, 2015 3rd International Conference on Future Internet of Things and Cloud.

[26]  Anna L. Cox,et al.  Eight Guidelines for Designing Virtual Citizen Science Projects , 2014, Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.

[27]  Matteo Golfarelli,et al.  Data Warehouse Design: Modern Principles and Methodologies , 2009 .

[28]  Salil S. Kanhere,et al.  Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces , 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

[29]  Sarah E. Anderson,et al.  The Accuracy of Citizen Science Data: A Quantitative Review , 2017 .

[30]  Pei Zhang,et al.  SensorFly: Controlled-mobile sensing platform for indoor emergency response applications , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[31]  Ye Tian,et al.  Estimate air quality based on mobile crowe sensing and big data , 2017, 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[32]  Bin Guo,et al.  From participatory sensing to Mobile Crowd Sensing , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

[33]  Hyekyung Woo,et al.  Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data , 2016, PloS one.

[34]  Puttipong Leakkaw,et al.  Traffic Density Estimation: A Mobile Sensing Approach , 2017, IEEE Communications Magazine.

[35]  Anita Greenhill,et al.  Science Learning via Participation in Online Citizen Science , 2016, ArXiv.

[36]  Antonella Longo,et al.  A Microservice-Based MOOL in Acoustics Addressing the Learning-at-Scale Scenario , 2017, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC).

[37]  Jody W. Enck,et al.  Can citizen science enhance public understanding of science? , 2016, Public understanding of science.

[38]  David F. Treagust,et al.  Inquiry in science education: International perspectives , 2004 .

[39]  J. Silvertown.  A new dawn for citizen science. , 2009, Trends in ecology & evolution.

[40]  Delphine Reinhardt.  Privacy in mobile participatory sensing: Current trends and future challenges , 2016, J. Syst. Softw..

[41]  David N. Bonter,et al.  Citizen Science as an Ecological Research Tool: Challenges and Benefits , 2010 .

[42]  Fan Ye,et al.  Mobile crowdsensing: current state and future challenges , 2011, IEEE Communications Magazine.

[43]  N. Longnecker,et al.  Benefits and challenges of incorporating citizen science into university education , 2017, PloS one.