Data Infrastructure for Smart Cities
The systems that operate the infrastructure of cities have evolved in a fragmented fashion across several generations of technology, causing city utilities and services to operate sub-optimally and limiting the creation of new value-added services. The integration of cross-domain city data offers a new wave of opportunities to mitigate some of these impacts and enables city systems to draw effectively on interoperable data that will be used to deliver smarter cities.
Despite the considerable potential of city data, current smart cities initiatives have mainly addressed the problem of data management from a technology perspective, have treated it as a single and disjoint ICT development project, and have disregarded stakeholders and data needs. As a consequence, such initiatives are susceptible to failure from inadequate stakeholder input, requirements neglecting, and information fragmentation and overload.
To enter into the new era of data exploitation and data infrastructures cities will need to adopt a more strategic and outcomes-oriented approach and this research is about this journey. This talk will give an introduction on a systematic business-model-driven framework, named SMARTify, which guides the design of large and highly interconnected data infrastructures that are provided and supported by multiple stakeholders. The framework can be used to model, elicit and reason about the requirements of the service, technology, organization, value, and governance aspects of smart cities.
I will discuss very briefly the "Data for London" case study which has shown that the SMARTify framework provides decision makers with the clarity they need to think strategically about how systems, businesses and interested citizens can draw effectively on a vast supply of cross-domain city data through a data infrastructure.
The design of robust data infrastructures can facilitate cross-domain data exploitation, the emergence of new profitable business models, and the development of an increase range of new and engaging services in smart cities.
Larissa Suzuki is a PhD Candidate in Software Systems Engineering at University College London / DCE Imperial College London. Her research aims at contributing to a growing body of knowledge in smart cities and urban data management. She is an EPSRC, Google and Intel Scholar. Larissa holds a BSc in Computer Science and an MPhil in Electrical Engineering, and was a Visiting PhD Student at MIT. Larissa is a senior teaching assistant at UCL and has published several research papers in leading academic journals and conferences, and has received several awards and recognitions during her academic career (Intel, EPSRC, BFWG, Google, ACM, EIT ICT Labs, McKinsey&Company, Inspiration Awards for Women). She has interned IBM and at ARUP working on smart cities applications. Her research agenda includes, but not limited to: software middleware, platform ecosystems, urban data management, value chain, supply chain management and business models.