The adoption of green energy technologies worldwide is going to have significant consequences for mineral demand in a near future. The booming sector of artisanal and small-scale mines (ASM) that employs around 40 million people, represents about 20% of the global gold and diamond supply, 25% of tantalum and tin, and up to 80% of sapphire. Those numbers make the ASM sector a pivotal actor in the energy transition. The aim of ArtiMinDev project is to analyze the economic and social impacts of ASM in sub-Saharan African countries. Up until now, the absence of exhaustive time-varying information on the location of ASM has prevented researchers in social sciences from precisely quantifying the contribution of this activity to economic development. The ambition of this project is twofold. First, I intend to map the opening/closing of ASM in sub-Saharan African countries over the period 2000-2020 with exact information on location (GPS coordinates). Two other crucial information are also collected: the size and the mineral extracted from each ASM. I will use machine learning techniques and satellite image time series to identify sediment and open pit-mining activities. Second, equipped with this ground-breaking dataset, I aim to provide systematic and large-scale evidence of the impact of ASM on violence and conflict; environmental degradation and health; and internal migration. The proposal’s objectives, grounded in quantitative economics, are spanning several literatures from a wide variety of disciplines, by combining state-of-the-art machine learning techniques and remote sensing data. I expect the methodologies and the results to push the research frontier in several dimensions. Moreover, the conclusions drawn from the project would be highly relevant for policy-makers and NGOs aiming to improve the monitoring of those mining activities and their impacts on conflict, health and environmental degradation.

One of the most fascinating and challenging question of Modern Astrophysics is: How do planets form? Indeed, micronic dust grains must grow over 30 orders of magnitude in mass to build planet cores. Global numerical simulations of dust grains that couple the dynamics of the particles to their growth/fragmentation and the radiation in the disc are compulsory to understand this process. Yet, this coupling has never been realised, given tremendous difficulties that originate from fundamental physical properties of dusty flows. The evolution of the dust distribution in protoplanetary discs remains therefore very poorly understood. Our novel groundbreaking code is the first to handle non-ideal MHD, radiation and dust with dynamical growth and fragmentation. We can therefore overcome all past difficulties to model gasgrains mixtures in discs consistently. PODCAST is designed to study the different stages of gas and dust evolution in the various regions of the disc, with the main objective of combining these steps in a holistic model for planet formation. We will confront the results directly with observations, unleashing the full potential of the grand instruments ALMA, SPHERE, JWST and SKA.