To accelerate the energy transition and achieve the needed large-scale transformation to address climate change, different barriers including lock-ins and path dependencies, incumbent power structures and changing individual and collective norms, values, and behaviors around energy need to be addressed. In the face of these challenges, citizens are beginning to play a bigger role in the transformation of the energy system. For example, they are becoming prosumers (energy consumers who also produce energy) and are increasingly engaging in collective energy actions, including taking part in energy communities. In the latter instance, collective investment and consumption decisions are made together, and norms, understanding and behavior towards energy are shaped collectively. To better understand the roles that individuals and groups can play in confronting the challenges of the energy transition, we make use of and adapt Ostrom’s socio-ecological systems (SES) framework to analyze past examples of collective actions and to delve deeper into the causes and catalysts of collective actions. We show how this framework can be used to analyze collective actions across time and contexts, focusing on connecting individual and group behavior with changing societal norms and the corresponding barriers to change. By applying the adapted SES framework as a lens to analyze historical examples of collective actions that have resulted in a widespread transformation in social norms and structures, we identify similarities and differences between these case studies and the current energy transition. Confronting incumbents and the challenge of changing social norms and behaviors are among the similarities, but the specific tactics used to limit incumbents’ powers and the actions taken to influence the norms and behaviors differ. Lastly, we determine the key actors that influenced social and behavioral change, as one of the main outcomes of the analysis.
To accelerate the energy transition and achieve the needed large-scale transformation to address climate change, different barriers including lock-ins and path dependencies, incumbent power structures and changing individual and collective norms, values, and behaviors around energy need to be addressed. In the face of these challenges, citizens are beginning to play a bigger role in the transformation of the energy system. For example, they are becoming prosumers (energy consumers who also produce energy) and are increasingly engaging in collective energy actions, including taking part in energy communities. In the latter instance, collective investment and consumption decisions are made together, and norms, understanding and behavior towards energy are shaped collectively. To better understand the roles that individuals and groups can play in confronting the challenges of the energy transition, we make use of and adapt Ostrom’s socio-ecological systems (SES) framework to analyze past examples of collective actions and to delve deeper into the causes and catalysts of collective actions. We show how this framework can be used to analyze collective actions across time and contexts, focusing on connecting individual and group behavior with changing societal norms and the corresponding barriers to change. By applying the adapted SES framework as a lens to analyze historical examples of collective actions that have resulted in a widespread transformation in social norms and structures, we identify similarities and differences between these case studies and the current energy transition. Confronting incumbents and the challenge of changing social norms and behaviors are among the similarities, but the specific tactics used to limit incumbents’ powers and the actions taken to influence the norms and behaviors differ. Lastly, we determine the key actors that influenced social and behavioral change, as one of the main outcomes of the analysis.
In this paper, we situate our computational approach to philosophy relative to other digital humanities and computational social science practices, based on reflections stemming from our research on the PolyGraphs project in social epistemology. We begin by describing PolyGraphs. An interdisciplinary project funded by the Academies (BA, RS, and RAEng) and the Leverhulme Trust, it uses philosophical simulations (Mayo-Wilson and Zollman, 2021) to study how ignorance prevails in networks of inquiring rational agents. We deploy models developed in economics (Bala and Goyal, 1998), and refined in philosophy (O’Connor and Weatherall, 2018; Zollman, 2007), to simulate communities of agents engaged in inquiry, who generate evidence relevant to the topic of their investigation and share it with their neighbors, updating their beliefs on the evidence available to them. We report some novel results surrounding the prevalence of ignorance in such networks. In the second part of the paper, we compare our own to other related academic practices. We begin by noting that, in digital humanities projects of certain types, the computational component does not appear to directly support the humanities research itself; rather, the digital and the humanities are simply grafted together, not fully intertwined and integrated. PolyGraphs is notably different: the computational work directly supports the investigation of the primary research questions, which themselves belong decidedly within the humanities in general, and philosophy in particular. This suggests an affinity with certain projects in the computational social sciences. But despite these real similarities, there are differences once again: the computational philosophy we practice aims not so much at description and prediction as at answering the normative and interpretive questions that are distinctive of humanities research.