Miguel Ângel Fuentes, CARTIF

REMOURBAN Project has developed and validated in three lighthouse cities (Valladolid, Nottingham and Tepebasi) a sustainable Urban Regeneration Model, holistic and replicable, that leverages the convergence area of the energy, mobility and ICT sectors in order to accelerate the deployment of innovative technologies, organisational and economic solutions to increase resource and energy efficiency, improve the sustainability of urban transport and reduce GHG emissions in urban areas. This urban renovation strategy is focused on citizens, as common factor of all the improvements, as they are the main drivers to transform cities into smarter and more sustainable environments.

Kinda Al-Sayed, UCL

Following the findings released in December 2018 at COP24 in Katowice, Poland about the extent of damage that global warming has done to Earth’s ecosystems, it is a matter of urgency to plan the transition to a more sustainable energy and
built environment future. Energy transformations will require an adaptation of the physical infrastructure of cities to minimise the damage posed by climate catastrophes and transform the end-use energy supply systems to fit with the
strategic shift to electric and clean energy solutions. In order to carefully plan the transformation of the existing urban infrastructure, there is a need to model the dependencies between different urban variables in order to understand the landscape of future energy demand and plan supply accordingly.
In planning for infrastructure transformation, there is a need to model two types of data; urban variables that embrace long-term dynamics, and urban data that change in real-time. The former is necessary to plan for long-term infrastructure services. The latter is vital to respond to disruptions to urban networks in the event of climate catastrophe. Technologies such as the Internet of Things (IoT) and Blockchain can become instrumental in this realm, enabled by networks of sensors, citizen science, Geographic Information Systems (GIS), and web 2.0 technologies. Information flows collected and communicated through these services could be used to support centralised, and peer-to-peer emergency response systems.

Juan M. Navarro, UCAM

In a world where the visual aspect is often the first priority, we must begin to give sound the importance it has. Cities with their streets, buildings and squares are full of cameras that capture our images. In addition, the expansion of smartphones has led to anyone being a creator of images. We must be aware that we are beginning to be surrounded by sound collectors, both fixed and mobile, which open up a new field of possibilities to explore.  This conference reviews the applications and cases of use of acoustic devices in cities, as well as possible scenarios in the near future.

Ricardo Carvalho, Axians

Several cities in the world are implementing smart cities projects that make use of sensors, communication infrastructures, computers and software to better suit the available resources to achieve sustainability. Typically these projects use large quantities and varieties of data that need to be analyzed through sophisticated algorithms to find relevant standards or provide alerts that allow city services to respond in real-time. Therefore, data is now considered as a new strategic asset that it is essential to manage to preserve its value.
Based on these two strands – cities and data, this talk will systematize the state of art of smart cities in terms of strategies, technologies and data governance.

Rui Pereira, CISCO

Connectivity is a critical piece of the IoT projects puzzle. All IoT scenarios (Smart Cities, Smart Grids, Smart Farms, Smart factories, Smart Homes) are in need of a secure and connected IoT environment.
In order to deploy and evolve IoT use cases, there’s a need for a resilient, multiservice, multilayer, multiprotocol network infrastructure capable to operate in any place, providing a secure and seamless network access for data to be transported, normalized and delivered from and to, devices, citizens, systems applications and further more.

João Carlos Ferreira, ISCTE-IUL, ISTAR-IUL

Challengers of IoT for SMART Anything (Smart Cities, Smart Grids, Smart factories).
IoT and context information for user behavior change
ISCTE-IUL IoT Laboratory main achievements.

Sérgio Moro, ISCTE-IUL, ISTAR-IUL

The decision making process has drastically changed in the last 10 years due to the advent of online social media. Nowadays, tourists easily share their opinions among each other in online platforms. Both tourism managers and practitioners cannot neglect the power of these important sources of information. In this talk, we will see how stakeholders can benefit from such massive information through data analytics approaches.

Carlos Serrão, ISCTE-IUL, ISTAR-IUL

The implementation of the new digital societies rely on the deployment and usage of multiple devices, with a plethora of sensors and actuators, that collect a multitude of data. These devices, also known as IoT, are becoming a prefered target of cybercriminals to explore these devices to compromise the way they work, the data they collect or use them to launch attacks against others. This presentation will present the major security challenges for IoT, highlighting some of the major risks, based on the OWASP IoT Top10, describe some the mitigations that will to be implemented and present some examples of IoT abuse.

José Luís Silva, ISCTE-IUL, ISTAR-IUL

Ubiquitous Computing, strengthening by IoT, raises new usability challenges that cut across design and development. How can prototypes be used to explore the users’ mobility and interaction, both explicitly and implicitly, to access services within these ubiquitous computing environments? This talk reports on approaches for design and development of interactive systems that anticipates potential user problems, and reduces the cost of redesign (both crucial for a successful progress).

Sílvia Luís e Maria Fernandes-Jesus, ISCTE-IUL, CIS-IUL

The efficacy of programs that promote sustainable behavior is highly dependent on contextual and motivational characteristics. IoT can support the development of applications that gather large amounts of data from the environment and use them in accordance with the individual’s motivational stage in order to provide the most adequate behavior change tool.