Working Group 6: The Political Economy of Green-Digital Transition

Format:
Onsite

Coordinators:
Edemilson Paraná, LUT University, edemilson.parana@lut.fi
Rodrigo Santaella Goncalves, LUT University, rodrigo.santaella.goncalves@lut.fi
Thea Yan Pan, LUT University, yan.pan@lut.fi

Abstract:
This panel aims to explore the so-called green-digital (or twin) transition from a political-economic perspective. Current literature on the twin transition tends to follow two main trends. The first is optimistic about the role digitalization can play in advancing the green transition. The second offers a more critical perspective but is often focused on specific cases and limited to the rebound effects of certain digital features, particularly in terms of energy efficiency. Our panel welcomes contributions aligned with both of these trends but is particularly interested in critical perspectives on the twin transition. We encourage submissions that draw from Marxist political economy, heterodox economics, and critical social sciences, emphasizing the conflictual and class-based aspects of social issues. We seek to foster an interdisciplinary dialogue that includes contributions from sociologists, economists, philosophers, political scientists, and scholars from other fields.

Possible topics for discussion include the theoretical and broader implications of digitalization, particularly on labor and capital relations; the geopolitics of AI in the context of the twin transition; public policies related to the green-digital transition and their limitations; and the strategic features of the contemporary green-digital transition in both the Global North and Global South.

To participate in the panel, please submit an abstract including your name and affiliation. Accepted participants will present their research and engage in a structured dialogue. The presentation time and details will be decided and informed later.

Please submit your paper abstracts, or any inquiries, to the following email: rodrigo.santaella.goncalves@lut.fi

Word count for abstract submission: 250