SETA – ubiquitous data and service ecosystem for better metropolitan mobility
The objective of the SETA project is to provide effective solutions for intelligent and sustainable mobility i.e. the smarter, greener and more efficient movement of people and goods. SETA will provide a radical change from transport as a series of separate modal journeys to an integrated, reactive, intelligent, mobility system. It will provide always-on, pervasive services to citizens and business, as well as decision makers to support safe, sustainable, effective, efficient and resilient mobility.
The project lasts 3 years, with €5.5M of funding from EU Horizon 2020 of which €1.2M is for Sheffield. Professor Ciravegna is the project director (2016-2019)
ESA BDM – European Space Agency Big Data for Migration
This is a €150,000 feasibility study funded by ESA, focussing on how Big Data can provide support for understanding large scale human migration events. The project will investigate the different Big Data technologies to understand different facets of migration – mitigation, preparedness, response and recovery. I am the Sheffield PI and I also coordinate a task in the project
I was the Project Coordinator of the €170,000 Crowd4Sat – Crowdsourcing for Observations from Satellites project which was funded by the European Space Agency (ESA). Crowd4Sat consisted of 3 official partners (University of Sheffield, Starlab Limited and e-GEOS SpA) along with 2 demonstration project owners (Alto Adriatico Water Authority and The Floow) and 1 technology provider (AizoOn). The objective of Crowd4Sat was to investigate the different facets of how crowdsourcing and citizen science impacts upon the validation, use and enhancement of ESA Observations from Satellites (OS) products and services, as well as how the ESA products can be used in crowdsourcing. It ran from 1 Feb 2015 until 31 March 2016.
I also work in the WeSenseIt project, a €6.2 million four year European Framework 7 funded project which develops citizen observatories of water to harness environmental data and knowledge to effectively and efficiently manage water resources. Observatories allow citizens and communities to take on a new role in the information chain: a shift from the traditional one-way communication paradigm towards a two-way communication model in which citizens become active stakeholders in information capturing, evaluation and communication. Areas of research concern physical and social sensors, heterogeneous sensor networks and water models, and methods for participatory decision support in water management. Citizen and stakeholder groups are involved throughout the project; theoretical and conceptual social models are developed to better understand citizen motivation and engagement, their needs, abilities, preferences and potential for input into decision-making processes.