Ubiquitous Intelligence and IoT: Opportunities and Issues
By Lionel Brunie
Recent advances in wireless and mobile communications, along with the worldwide dissemination and exploitation of Internet of Things (IoT) technologies open dramatic and unprecedented opportunities for research and innovation regarding ubiquitous and collective intelligence. This new information landscape is actually expected to act as a disruptive paradigm change for the IT world.
After a review of involved technologies and application opportunities raised and supported by this new paradigm, we will especially focus on two topics. First, we will address issues related to the infrastructure support for the collection and exchange of information and knowledge: candidate technologies such as blockchain, edge/fog computing, collaborative networks or federated infrastructures will be presented and discussed in terms, notably of performance, reliability, adaptability, and scalability. Then, we will move from technology questions to ethical issues. Through the monitoring and intelligence of and the impact on our societies they allow, ubiquitous intelligence and IoT indeed question some of our most fundamental civil rights and, more generally, reshape our social relationships. The end of this keynote will address these issues both from a technological point of view (how can technologies (e.g., privacy preserving protocols) address such issues?), and from an ethical point of view (what role should IT researchers and experts play in this upcoming technological and societal change?).
Lionel Brunie is full professor at the National Institute of Applied Sciences (INSA) of Lyon, France. He received his PhD in computer science in 1992 from Joseph Fourier University, Grenoble, France, Lionel Brunie joined Ecole Normale Supérieure of Lyon, France (LIP lab) as assistant professor. Since October 1998, Lionel Brunie is full professor in computer science at the National Institute of Applied Sciences (INSA) of Lyon, France and, from 2019, chair of the department of computer science and information technology (430 students, 45 faculties and staff). In 2016, he co-founded the IRIXYS International Research and Innovation Centre in Intelligent Digital Systems (50 permanent researchers and PhD students), which addresses topics in distributed collaborative systems, security and privacy, and artificial intelligence and information retrieval. His main topics of interest include: data management in large scale and ubiquitous systems, security and privacy, collaborative information systems, e-health.
Lionel Brunie has led numerous national and international research projects; he is the (co‑)author of over 220 research papers and the (co-)supervisor of 40 PhDs; he has been member of over 80 scientific conference and workshop committees and more than 30 European and international projects.
Graph Degeneracy For Academic Impact Evaluation
By Michail Vazirgiannis
Academic impact has become an issue of increasing value with connotations to industrial aspects as well. Traditional tools deal with citation count and h-index. There is a growing criticism for such traditional metrics in the sense that they do not generalize across disciplines and do not reflect all aspects of impact and that as well they can be manipulated. We propose graph degeneracy and density graph based metrics capturing different aspects including authority and collaborativeness. Such an approach is D-cores a metric that is adopted by the main Chinese scientific portal A-miner. Also we come up with a new metric (RCG) for paper impact that evaluated the long term impact, beyond citation count and is quantified with density based metrics of the citation graph created by a paper since its publication. We will present as well ideas from influence maximization and their relevance to evaluating academic impact.