Télécom ParisTech

The 6 cross-disciplinary and interdisciplinary institutional strategic objectives ("AxSEs")

Big Data "AxSE": Data and Knowledge Dynamics

Has a theoretical basis in the management and analysis of big data, drawing on expertise in statistics, mathematics, computer science, humanities and social sciences. The Big Data "AxSE" uses this expertise by creating a framework for multidisciplinary exchange, accessible to the socio-economic world, around issues such as predictive analytics, recommendation, searching the web, scalability and knowledge management.

2 major challenges facing the "AxSE":

  • Scalability and mastering complexity
  • Building on the multidisciplinary aspect combining methods, technologies and uses.

More about Big Data at Telecom ParisTech

Digital Trust "AxSE": Security, Reliability & Risks

The Digital Trust AxSE includes 2 parts:

  • Dependability: integrity, availability, reliability, and safety
  • Information security: confidentiality, integrity, and availability

Security and reliability are studied at Télécom ParisTech at all hierarchical system levels: from the physical layer to applications, via mathematical tools, software layers, networks, and social aspects.

2 major challenges facing the "AxSE":

Tools and methods ensuring a high level of trust and helping to ensure the best compromises according to 2 challenges:

  • "Horizontal" challenge: joint security/reliability study: modelization and management of conflict and synergies
  • "Vertical" challenge: integration of protection/reaction mechanisms at the hierarchical layers: from the physical devices to the applications via mathematical tools, software layers, networks, social impact, so as to have an overall view of the trust of a digital system.

Design-Interaction-Perception (DIP) "AxSE"

The purpose of the DIP AxSE is to:

  • Design digital and semantic models of the physical, social, and emotional real word from multimodal data seen in complex environments ("in the wild").
  • Build new forms and new languages for the human-system interaction.
  • Use these models for the design of objects, worlds, and experiences.

2 major challenges facing the "AxSE":

  • Processing of multimodal information enabling the machine to make the best use of multiple information and computation sources.
  • Design interactions and effective, expressive, and scalable devices for environments with a variety of data, artefacts, and humans.

Very Large Networks and Systems "AxSE": IoT, 5G, Cloud, etc.

Illustration Cloud

The idea of networks covers a wide range of concepts, suck as social networks, content networks, telecom networks, networks of connected objects, and beyond the vertical sector networks, such as power networks and transport networks. These concepts, which were previously handled separately, are now considered in an integrated manner with a system vision based on strong interactions between the parties. Télécom ParisTech, with skills covering all of the areas mentioned, is designing the systems and infrastructure of tomorrow: comprehensive, integrated, agile, and sustainable.

2 major challenges facing the "AxSE":

  • Scalability: continuous, but sustainable, increase in transmission capabilities (optical, radio, etc.), communication, storage, and processing, number and variety of objects to be connected, contents, and people.
  • New architectural paradigms: comprehensive, integrated therefore distributed, agile therefore programmable, and smart therefore self-organised, giving rise to the emergence of a priori unpredictable behaviour.
    • These systems are heavily based on their ability to observe and to take real-time autonomous and reflective decisions related to their operation.
    • Programmability is facilitated by end-to-end virtualization of the infrastructure and the ability to orchestrate the functions and services required.
    • This gives rise to increasing complexity, caused mainly by the need to take both social and technical aspects into account, and therefore requiring advanced models.

     

Modelling for a Digital World "AxSE"

The Modelling for the Digital World “AxSE” (strategic objective) is broken down into three areas:

  • Modelling of Content Knowledge and Interactions,
  • Modelling of Networks and Systems,
  • Modelling of Information and its Ecosystems.

In all these areas, advanced mathematical models are developed to effectively represent a complex reality and to be able to use it better.

Two challenges facing the AxSE (strategic objective)

  • Compromise between faithfulness to reality and the model’s effectiveness (usability, calculability, fitness for purpose).
  • Ability to tackle highly complex problems involving heterogeneous, possibly big or incomplete data and some poorly controlled uncertainties or sensitive calculating requirements.

Digital Innovation "AxSE": Understanding and Doing it

Illustration : l'innovation

Digital innovation, inherently cross-disciplinary, is at the centre of major technical, social, economic, and political changes. Télécom ParisTech has major and unique strengths to perform and understand digital innovation. Our Ecole brings together a variety of skills and disciplines focused on digital technology. It is performing digital innovation – student projects, incubator start-ups, and laboratory research. The "AxSE" aims at a better understanding in order to achieve innovation in and with digital technology better.

2 major challenges facing the "AxSE":

  • An "external" challenge. Identify, understand, explain and and communicate the characteristics of digital innovation - on economic impact, on regulation, on political practice, on organisation, etc. Support the change and digital innovation.
  • An "internal" challenge. Make our inventors - researchers, incubated companies, students, graduates - the innovators Invent interdisciplinarity – projects, case studies, courses, using school sites.