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Social innovation Modelling Approaches to Realizing Transition to Energy Efficiency and Sustainability


Report on the conceptual model of the SMARTEES simulation and data formats to be included

This report is based on Task 7.1 and 7.2 and provides an integrated description of FEARLUS, the Consumat and Machine learning-based methods applied to social innovations. It also provides a description of the data types that can be incorporated (following KIDS principle)

Communication and Dissemination strategy

The communication and dissemination strategy (C&D strategy) sets out how the results, stories and lessons learned in SMARTEES are communicated to relevant audiences and stakeholders most efficiently and effectively. To facilitate the evaluations, the C&D strategy specifies its own key performance indicators such as number of visitors on the website, number of downloads of key publications, number of newsletter sub-scribers, number of connections on LinkedIn, or number of retweets on Twitter.

Report on “Five models of social innovation”

For each cluster of social innovation a model of social innovation will be sketched, providing a general description of the different phases characterizing the adoption of each social innovation, the role of the different actors in each phase and the role of different types of incentives characterising it.

Theoretical framework for definition of locally-embedded future policy scenarios

This deliverable integrates the different outputs of the SMARTEES empirical research (e.g. psychological factors, which influence energy collective behaviour) with contextual conditions, which operate as drivers and barriers for a combination of low carbon policies for the case study clusters. The aim is to contribute to scenario building work by providing plausible and robust knowledge – grounded on empirical data – that help communities tackle energy transitions.

Catalogue of elements to be considered in modelling for comprehensive and exhaustive reflection of relation-ships between the relevant agents in the ABM

This deliverable will describe the variables and types of relations between the agents to be modelled in the different cases. This will be based on the analyses conducted in Task 2.1 and Task 2.2.

Simulation model implementing different relevant layers of social innovation, human choice behaviour and habitual structures.

This deliverable is a report describing the theoretical principles of the model and justification and clarification of assumptions used. This is a rather technical report necessary to make the assumptions behind the models transparent.

Communication and Dissemination strategy (update 1)

This is an update of the communication and dissemination strategy delivered in M6. It includes all changes in the strategies and documentation of dissemination activities conduced since M6.

Policy brief on “social innovation in energy transition” in action

This deliverable is a policy-brief based on the initial analyses in WP3: Profiles of social innovation identified in task 3.2 will be considered jointly in a comparative way for trying to understand how social innovation in energy transition works “in action”.

Report on social innovation drivers, barriers, actors and network structures

This deliverable is based on Tasks 6.1-6.3. It provides a thorough synthesis of the policy implications of the identified stakeholders (Task 6.1), barriers and drivers (Task 6.2) and decision-making mechanisms (Task 6.3).

Project Handbook (update 1)

This is an updated version of the Project Handbook delivered in M4. It includes all changes to procedures in SMARTEES implemented since M4.

SMARTEES work plan

Comprehensive plan of meeting dates, venues and participants for meetings, and a detailed overview of the workflow in and between the WPs and tasks (Update M14).

Report on inputs for the questionnaire and for the scenarios

This deliverable will summarize the initial findings of WP3 for use in development of the questionnaires to be used in WP4 and the scenarios used in WP5. This structured overview will build the ground for a theory based development of the empirical work.

Data Management Plan (DMP) (update 1)

This is an update of the DMP delivered in M3. The update will include all changes and additions to data management procedures in SMARTEES since M3.

Integrated Research White Paper – Version 1

This paper will encompass: • An assessment of cross-disciplinary terminology • Definition of specific research questions to be challenged by the Integrated Consensus Paper • Discipline-wise theoretical framework for the specific research questions • Discipline-wise best practice methodology for addressing the research question • Identifying contradictions and consensus between disciplines along the theoretical/methodological dimen-sion

Project Handbook

Comprehensive guidebook with all project procedures and templates regarding internal and external communi-cation, workflows, project management procedures, and data management. The project handbook will be im-plemented as a dynamic wiki-document on the SharePoint and the first version of the document will be deliv-ered to the EC in M4, updated M14 and M26.

Report about profiles of social innovation “in action” for each cluster

This deliverable will contain an institutional, thematic, and methodological introduction; five parts devoted the specific clusters with their case-studies; a final part devoted to comparisons and conclusions

Data Management Plan (DMP)

Comprehensive documentation of the data collection procedures, data security procedures, curation and docu-mentation procedures, data storage and accessibility of the data. Updates in M14 and M26.

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Modelling fuel poverty and market failures

Author(s): Gary Polhill, Jiaqi Ge, Tony Craig, Doug Salt, Kathryn Colley
Published in: Waterloo Institute for Complexity & Innovation Conference on Modelling Complex Urban Environments, Issue 21-22 June 2018, 2018, Page(s) 34

Understanding the social dynamics of consumer energy choices – some lessons learned from two H2020 projects (ECHOES, SMARTEES)

Author(s): Klöckner, C. A.
Published in: Proceedings of the ECEEE Summer Studies, 2019

Energy equality and energy sufficiency: new policy principles to accelerate the energy transition.

Author(s): Pellegrini-Masini, G
Published in: ECEEE Summer Study 2019, 2019

Using ABMs for prediction: Two thought experiments and a workshop?

Author(s): Polhill, G., Hare, H., Anzola, D., Bauermann, T., French, T., Post, H., & Salt, D
Published in: 5th annual conference of the European Social Simulation Association ESSA, 2019

Modelling social dynamics in communities using HUMAT?

Author(s): Jager, W., & Antosz, P
Published in: 5th annual conference of the European Social Simulation Association ESSA, Issue 5th annual conference of the European Social Simulation Association ESSA, 2019