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Abstract
Digital twins of the Earth are digital representations of the Earth system, spanning scales and domains. Their purpose is to monitor, forecast and assess the Earth system and the consequences of human interventions on the Earth system. Providing users with the capability to interact with and interrogate the system, digital twins of the Earth are decision support systems for addressing environmental challenges. By informing humans of their impact on the Earth system, digital twins aspire to promote new pathways moving forward. By answering causal queries through intervention analysis, they can enhance evidence-based policy making. Existing digital twins of the Earth are primarily technological information systems that represent the physical world. However, as the social and physical worlds are intrinsically interconnected, we argue that humans must be accounted for both within and outside digital twins of the Earth: Within twins to represent human impacts and responses that are integral to the Earth system; and outside twins to govern access and development and to guide responsible use of information acquired from twins. Incorporating human interactions in digital twins of the Earth represents a transformative frontier, promising unparalleled insights into Earth system dynamics and empower humans for action.
Humans must be represented within digital twins of the Earth, but they also play a role outside to govern development and access and guide usage, argues a perspective based on interdisciplinary scientific expert viewpoints.
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1 Utrecht University, Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000 0000 9637 0671)
2 Delft University of Technology, Delft, The Netherlands (GRID:grid.5292.c) (ISNI:0000 0001 2097 4740)
3 Max Planck Institute for Meteorology, Hamburg, Germany (GRID:grid.450268.d) (ISNI:0000 0001 0721 4552)
4 Universitat de València, València, Spain (GRID:grid.5338.d) (ISNI:0000 0001 2173 938X)
5 Netherlands Environmental Assessment Agency (PBL), the Hague, The Netherlands (GRID:grid.437426.0) (ISNI:0000 0001 0616 8355)
6 Barcelona Supercomputing Center, Barcelona, Spain (GRID:grid.10097.3f) (ISNI:0000 0004 0387 1602); ICREA, Barcelona, Spain (GRID:grid.425902.8) (ISNI:0000 0000 9601 989X)
7 Deutsches Zentrum für Luft- und Raumfahrt e.V., Oberpfaffenhofen, Germany (GRID:grid.7551.6) (ISNI:0000 0000 8983 7915); University of Bremen, Bremen, Germany (GRID:grid.7704.4) (ISNI:0000 0001 2297 4381)
8 Deutsches Zentrum für Luft- und Raumfahrt e.V., Oberpfaffenhofen, Germany (GRID:grid.7551.6) (ISNI:0000 0000 8983 7915)
9 Leibniz Supercomputing Centre, Garching b.M., Germany (GRID:grid.509721.8)
10 NVIDIA, Santa Clara, USA (GRID:grid.451133.1) (ISNI:0000 0004 0458 4453)
11 Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227)
12 Wageningen University & Research, Wageningen, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666)
13 University of Amsterdam, Amsterdam, The Netherlands (GRID:grid.7177.6) (ISNI:0000 0000 8499 2262)
14 Delft University of Technology, Delft, The Netherlands (GRID:grid.5292.c) (ISNI:0000 0001 2097 4740); KU Leuven, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884)
15 Leiden University, Leiden, The Netherlands (GRID:grid.5132.5) (ISNI:0000 0001 2312 1970)
16 University of Tartu, Tartu, Estonia (GRID:grid.10939.32) (ISNI:0000 0001 0943 7661)