TRIPLE T-TACKLING A JUST TWIN TRANSITION

The environmental and digital transitions bear opportunities but also challenges, as sectoral and geographical asymmetries in “green-and-digital” knowledge generation, labour markets outcomes, and in exposure to environmental damages may emerge. Given the centrality of technological innovation in the twin transition, the effects that digitisation and decarbonisation may exert on productive capabilities and labour markets share similarities with the duality of technological change, bringing about both job/sector creations and reductions, that in turn may augment spatial and social inequality. By adopting a complexity perspective integrated with a set of novel methodologies and a wide array of multi-layer datasets, Triple T addresses the extent to which the twin transition might be oriented toward a just path, taming its societal negative effects. In fact, the complex nature and heterogeneous impacts of the systemic transformations that the transitions will entail call for an interdisciplinary toolbox suitable to analyse a scenario characterised by interdependencies, feedback loops, trade-offs, and emergent behaviours. Hence, we propose a multilevel framework that mixes themes from economic complexity, evolutionary geography and labour economics, employing econometric techniques, big data analysis, natural language processing (NLP), complex networks and machine learning (ML). This will allow us to address sectoral, occupational, and subnational dynamics at the single product, industry or technology level, and to elicit the effects of the twin transition on labour markets, environmental, income and spatial inequality.