The N-Hum-Innov joint laboratory, led by ERPI (Equipe de Recherche sur les Processus Innovatifs -Université de Lorraine) and the SME TEA, is particularly interested in the study of digitally supported human-to-human and human-machine interactions, with a vision of the project: "technology at the service of mankind". Thus the originality of this project lies in the fact that digital technology is used to help and amplify people's decision-making and management skills in increasingly complex environments (increasing number of data to be processed, more frequent interactions between stakeholders, Virtual vs. Real interface, etc.). This Joint Laboratory aims to: (1) to advance the current products and solutions developed by TEA in order to open up to new growth markets; and (2) to strengthen the company's current positions on its expertise in ergonomic support technologies for the working environment. For the ERPI, the LabCom will strengthen its scientific skills and knowledge on collaborative innovation processes in the digital industries. Today, the ERPI is recognized as a scientific actor in the field of user-centred innovation. Certified Living Lab since 2010 by the European Living Lab Network (ENOLL), ERPI develops experimental methodologies, models and algorithms to measure the acceptability and adaptability of innovative products, for applications as diverse as health, manufacturing systems and consumer goods. For its part, the SME TEA, with its CAPTIV product platform, and the series of derived products, is an international company in the design and distribution of technological solutions integrating sensors, software, image and virtual reality. The SME already equips many research laboratories or industries in Europe, Asia, America. The N-Hum-Innov joint laboratory is therefore in line with the complementary skills and technologies of our two structures, with the objective of developing TEA's current solutions and products through a strategy of technological breakthrough, which will enable it to move into promising areas such as Industry 4.0 and Smart City. The shared research work will follow several structured steps: exploration, development and consolidation on both market and technological aspects. Each of the stages will be the subject of a progress report specifying the possible evolution scenarios and feedback. All productions will be promoted scientifically (referenced publications, targeted conferences in the above-mentioned fields) or economically (new products and markets).

The GreeenLocal3D project focuses on models and experiments to facilitate the short circuit recycling of post-consumer plastic waste to be recovered and enhanced by additive manufacturing (AM) processes. In a new "distributed recycling" paradigm, this process must be accomplished by affordable and flexible technologies that cover a limited geographical area to form the basic unit of a "smart recycling network". More specifically, the objective is to study the possibility through AM to revalorize previously unsorted and/or unrecycled types of plastics. In order to generate a circular economy around these plastics, we will analyze the whole value loop from the collection and distribution circuit to their valorization as printable materials by additive manufacturing via the combined mastery of their transformation processes and their formulation. To illustrate the potential of the implemented methodology, we will evaluate the feasibility of the proposed approach for different product/material pairs and at different positions of the value loop. On a macro scale, we will qualify the available plastic waste deposits at the level of sorting centers and on a territorial scale. We will analyze the composition of unsorted plastics and size the volumes of thermoplastics available and usable in 3D printing (especially for PLA). We will then propose, in a multi-tool approach, an analysis of material flows as well as a global diagnosis allowing us to map and characterize the industry in the making. At the micro level, we will study the potential use of raw materials in AM processes. Scientific studies will be carried out on model polymer blends with the objective of transferring the results to plastics to be recycled.