Prosperity Thinking in Action: a case study from Future Food Institute’s Paideia Campus

The need for sustainable economic growth and environmental stewardship emerged around the start of the twentieth century when society became aware that the traditional development model would lead to the collapse of the terrestrial ecosystem in the long run. Over the years, the international community's environmental efforts have demonstrated unequivocally that the planet's limits are real. And so, the new development approach has laid the groundwork for the future. According to this model, design also plays a key role in ensuring a better future. The design has undergone an ecological and sustainable evolution as a result of the global environmental crisis and the degradation of our ecosystem and biodiversity. In this contest, Prosperity Thinking is inserted, a still evolving methodology developed by the Future Food Institute starting from 2019. The main concepts on which it is based are described, as well as the method that identifies it, which is divided into the following stages: 1) Problem Framing 2) Ideation and Prototyping 3) Test & Analyze. The development of the prosperity thinking toolkit is described, beginning with the search for tools from the literature on sustainable design and ending with its validation with the help of design experts. The testing of some tools will be recounted during a workshop organized by FFI, in which 15 people ranging in age from 14 to 40 will participate, and then the final version of the toolkit will be presented which has been obtained by adding to it the tools proposed by the experts. Finally, a reflection on the future of Prosperity Thinking, a method in constant evolution that must continue to follow societal and environmental changes in order to respond to the ever-increasingly complex challenge of sustainability.

Virtual sensing technology applied to a swarm of autonomous robots.

This thesis proposes a novel technology in the field of swarm robotics that allows a swarm of robots to sense a virtual environment through virtual sensors. Virtual sensing is a desirable and helpful technology in swarm robotics research activity, because it allows the researchers to efficiently and quickly perform experiments otherwise more expensive and time consuming, or even impossible. In particular, we envision two useful applications for virtual sensing technology. On the one hand, it is possible to prototype and foresee the effects of a new sensor on a robot swarm, before producing it. On the other hand, thanks to this technology it is possible to study the behaviour of robots operating in environments that are not easily reproducible inside a lab for safety reasons or just because physically infeasible. The use of virtual sensing technology for sensor prototyping aims to foresee the behaviour of the swarm enhanced with new or more powerful sensors, without producing the hardware. Sensor prototyping can be used to tune a new sensor or perform performance comparison tests between alternative types of sensors. This kind of prototyping experiments can be performed through the presented tool, that allows to rapidly develop and test software virtual sensors of different typologies and quality, emulating the behaviour of several hardware real sensors. By investigating on which sensors is better to invest, a researcher can minimize the sensors’ production cost while achieving a given swarm performance. Through augmented reality, it is possible to test the performance of the swarm in a desired virtual environment that cannot be set into the lab for physical, logistic or economical reasons. The virtual environment is sensed by the robots through properly designed virtual sensors. Virtual sensing technology allows a researcher to quickly carry out real robots experiment in challenging scenarios without all the required hardware and environment.

Portare la tecnologia in cabina: le nuove tecnologie a servizio dell'interprete e il caso della simultanea con testo

The digital revolution has affected all aspects of human life, and interpreting is no exception. This study will provide an overview of the technology tools available to the interpreter, but it will focus more on simultaneous interpretation, particularly on the “simultaneous interpretation with text” method. The decision to analyse this particular method arose after a two-day experience at the Court of Justice of the European Union (CJEU), during research for my previous Master’s dissertation. During those days, I noticed that interpreters were using "simultaneous interpretation with text" on a daily basis. Owing to the efforts and processes this method entails, this dissertation will aim at discovering whether technology can help interpreters, and if so, how. The first part of the study will describe the “simultaneous with text” approach, and how it is used at the CJEU; the data provided by a survey for professional interpreters will describe its use in other interpreting situations. The study will then describe Computer-Assisted Language Learning technologies (CALL) and technologies for interpreters. The second part of the study will focus on the interpreting booth, which represents the first application of the technology in the interpreting field, as well as on the technologies that can be used inside the booth: programs, tablets and apps. The dissertation will then analyse the programs which might best help the interpreter in "simultaneous with text" mode, before providing some proposals for further software upgrades. In order to give a practical description of the possible upgrades, the domain of “judicial cooperation in criminal matters” will be taken as an example. Finally, after a brief overview of other applications of technology in the interpreting field (i.e. videoconferencing, remote interpreting), the conclusions will summarize the results provided by the study and offer some final reflections on the teaching of interpreting.