At the end of the course, students will be able to: - Identify and analyze trade-offs and synergies between SDG 11, aimed at "Making cities and human settlements inclusive, safe, resilient, and sustainable," and SDG 7, "Affordable and Clean Energy." These topics will also connect to SDGs 12 (Circular Economy) and 13 (Climate Action). Through systems thinking approaches, students will gain the ability to view problems and human actions as interconnected wholes and understand the (often lagged) feedback loops that make complexity challenging to address through traditional, linear modeling processes. - Connect decision-making and sustainable urban development with the paradigm of complexity and interdisciplinarity. By illustrating and applying methods and approaches based on environmental economics, multicriteria analysis, and systems thinking, students will grasp the broader context of problems and forecast their long-term evolution, rather than focusing on specific, short-term cause-effect relationships. - Model buildings' energy consumption and evaluate the effects of energy efficiency measures at an urban scale. - Identify available renewable energy sources and calculate potential energy production at a territorial scale. - Calculate energy-related indicators and indexes for the sustainable development of territories and cities. - Understand and connect scientific knowledge with decision-making problems at the urban district level, using a rigorous definition of sustainability challenges in terms of measurable levels and flows of shared resources (such as air quality) and an ability to construct mental models of the complex networks of cause-effect relationships surrounding these common resources. - Analyze the pros and cons of alternatives toward sustainable communities using the participatory evaluation methods illustrated in this course. - Apply sustainable development actions in real case studies through the interactive workshops conducted during the class. - Implement decision-making methods to select sustainable scenarios at the urban scale. - Execute the digital decision-making process effectively.

The only prerequisites are basic GIS knowledge and familiarity with Agenda 2030, which can be attained through a free online course available on the portal

The Atelier consists of two main parts: THEORIES & PROJECT, encompassing the following sub-themes within the context of Agenda 2030 and SDGs interactions: I. THEORIES | Sustainability theories and applications - Energy transition and energy modeling - Energy challenges in urban contexts - Urban building energy modeling with a place-based approach - Energy atlases and open databases - Energy efficiency measures - Renewable energy technologies - Energy self-consumption and self-sufficiency - Urban resilience and rural regeneration - LCA and Ecological footprint | Carbon footprint - Circular economy and society - Environmental rating protocols (e.g., ITACA, SN Tool, SB Tool) - Nature-Based Solutions and Climate Change II. PROJECT | Evaluation methods to support decision-making processes - Project cycle management | SWOT analysis | Stakeholders analysis - Multi-criteria evaluation | Indicator selection | Indicator weights - Design thinking | Participatory approaches for sustainable communities - System thinking | Co-design Scenario | Scenarios analysis - Interactive Spatial Decision Support System | GIS-based theories and application - Evaluation tools, methods, and protocols - Digital decision-making dashboards The two parts will include interactive laboratories and workshops where students can apply the theories presented in each part considering the SDGs of Agenda 2030.

While all 17 Sustainable Development Goals (SDGs) will be covered, this course will primarily emphasize the urban context by focusing on the following SDGs aligned with the UN Agenda 2030: 3 (Good Health and Well-being), 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities), 12 (Responsible Consumption and Production), 13 (Climate Action), 15 (Life on Land), and 17 (Partnerships for the Goals).

The course structure entails 60 hours of face-to-face theoretical instruction and 60 hours dedicated to practical exercises and classroom applications, including interactive workshops facilitated by collaborating lecturers. Various interactive workshops, both individual and group presentations, and exercises will be conducted, culminating in a final assignment. The course will dynamically alternate between theoretical lectures delivered by the instructor and interactive discussions with students, fostering engagement and comprehension of the subject matter. These exercises and workshops serve to deepen understanding of approaches and theories. Additionally, the course will feature seminars conducted by guest speakers and subject matter experts, offering diverse perspectives and insights throughout the course.

- AA.VV., Solar Portal of Turin Metropolitan City, http://www.provincia.torino.gov.it/speciali/2013/portale_solare/; http://www.cittametropolitana.torino.it/cms/ambiente/risorse-energetiche/osservatorio-energia/portale-solare - Albino, V., Berardi, U., Dangelico, R.M. (2015), Smart Cities: Definitions, Dimensions, Performance, and Initiatives, Journal of Urban Technology, vol. 22, issue 1, pp. 3-21. doi: 10.1080/10630732.2014.942092. - Brandon P.S., Lombardi P., Evaluating Sustainable Development in the Built Environment, II Edition, Wiley-Blackwell, Hoboken (USA) 2005, pp. 272, (II edition 2011) - COOP AFRICA, Project Design Manual. A Step-by-Step Tool to Support the Development of Cooperatives and Other Forms of Self-Help Organization, International Labour Organization, I.L.O., Genève, 2010, (web pdf) - Dente B., Understanding Policy decisions, Editore: Springer Cham, Anno edizione: 2013 - EC (2015). Towards an EU research and innovation policy agenda for nature-based solutions and re- naturing cities. Final Report of the Horizon 2020 expert group on nature-based solutions and re- naturing cities. European Commission, Brussels. - EC (2021). Evaluating the Impact of Nature-based Solutions: A Handbook for Practitioners. European Commission, Brussels. ISBN 978-92-76-22821-9. - European Environment Agency (2013), Achieving energy efficiency through behaviour change. https://www.eea.europa.eu/publications/achieving-energy-efficiency-through-behaviour . Accessed July 2019. - Figueria J., Greco S., Ehrgott M. (eds), Multiple Criteria Decision Analysis. State of the Art, Springer, Berlin 2010 - Fregonara E., “Evaluation, sustainability, project. Life Cycle Thinking and international orientations”, Milano, Franco Angeli, 2017 (English version: e_book available on-line - J.R Escorcia Hernández, S. Torabi Moghadam, P. Lombardi. (2023). Sustainability Assessment in Social Housing Environments: An Inclusive Indicators Selection in Colombian Post-Pandemic Cities, Journal of Sustainability, MDPI, 15(3), 2830, https://dx.doi.org/10.3390/su15032830 - JRC, Photovoltaic Geographical Information System (PVGIS), https://ec.europa.eu/jrc/en/pvgis - Lombardi P, Abastante F., Torabi Moghadam S., Toniolo J., Multicriteria Spatial Decision Support Systems for Future Urban Energy Retrofitting Scenarios. Sustainability, 2017, vol. 9, n. 7. pp. 1-13. ISSN 2071. doi: 1050, 10.3390/su9071252. - Lombardi P., S Giordano, H Farouh, W Yousef (2012), Modelling the smart city performance, Innovation: The European Journal of Social Science Research 25 (2), 137-14 - M. Pignatelli, S. Torabi Moghadam, C. Genta, P. Lombardi (2023). Spatial decision support system for low-carbon sustainable cities development: An interactive storytelling dashboard for the city of Turin, Journal of Sustainable Cities and Society, Elsevier, https://doi.org/10.1016/j.scs.2022.104310 - McKinsey Global Institute (2018), Smart cities: digital solutions for a more livable future. mckinsey.com/mgi. Accessed June 2019. - Mutani, G., Beltramino, S., Forte, A., A Clean Energy Atlas for Energy Communities in Piedmont Region (Italy), International Journal of Design & Nature and Ecodynamics, Vol. 15, No. 3, 2020, pp. 343-353, DOI 10.18280/ijdne.150308). - Mutani G., Vocale P. and Javanroodi K. Toward Improved Urban Building Energy Modeling Using a Place-Based Approach, Energies, 16, 3944, 2023, pp.1-17, DOI: 10.3390/en16093944. - Mutani G., V. Todeschi V. Optimization of Costs and Self-Sufficiency for Roof Integrated Photovoltaic Technologies on Residential Buildings, Energies, Volume 14 (13), 4018, pp. 1-25, 2021, 10.3390/en14134018. - Mutani G., Santantonio S, Brunetta G., Caldarice O., Demichela M. An Energy Community for Territorial Resilience. The Measurement of the Risk of Energy Supply Blackout, Energy and Buildings, Vol. 240 (110906), 2021, DOI: 10.1016/j.enbuild.2021.110906. - Mutani, G., Todeschi, V., Beltramino, S., Energy consumption models at urban scale to measure energy resilience, Sustainability - Bridging the Gap: The Measure of Urban Resilience, Sustainability 2020, 12 (14), 5678, pp.1-31; DOI:10.3390/su12145678. - Mutani, G., Todeschi, V., Building Energy Modeling at Neighborhood Scale, Energy Efficiency, Volume 13, Issue 5, June 2020, Springer Ed., DOI 10.1007/s12053-020-09882-4. - Nazem, S., Bruni, V., Fabris, E., Marcus, A., Melis, B., Roccella, G. (2020), Building Communities Through Digital Data Sharing, Springer. - Roscelli R. (a cura di), 2014, Manuale di Estimo, Valutazioni Economiche ed Esercizio della professione, Utet, Torino - S. Torabi Moghadam, F. Abastante, C. Genta, O. Caldarice, P. Lombardi, G. Brunetta. (2023). How to support the low-carbon urban transition through interdisciplinary framework? An Italian case study, Planning, practice & research, 310-329, Taylor & Francis, https://doi.org/10.1080/02697459.2023.2177012 - Serge Salat, Françoise Labbe and Caroline Nowacki 2011. Cities and Forms. On Sustainable Urbanism, Hermann. - Todeschi, V., Mutani, G., Baima, L., Nigra, M., Robiglio, M., Smart Solutions for Sustainable Cities—The Re-Coding Experience for Harnessing the Potential of Urban Rooftops, Applied Science, Special Issue Building Physics and Building Energy Systems, Vol. 10, 7112, 2020, pp. 1-27; doi:10.3390/app10207112. - Torabi Moghadam, S., Delmastro, C., Corgnati, S.P, Lombardi, P. (2017), Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches, Journal of Cleaner Production, vol. 165, pp. 811-827. doi: 10.1016/j.jclepro.2017.07.142. - Torabi Moghadam, S., Lombardi, P. (2019), An interactive multi-criteria spatial decision support system for energy retrofitting of building stocks using CommuntiyVIZ to support urban energy planning, Building and Environment, vol. 163, pp. 106-233. doi: 10.1016/j.buildenv.2019.106233 - World Economic Forum (2019), Making Affordable Housing a Reality in Cities, WEF Report. https://www.weforum.org/whitepapers/making-affordable-housing-a-reality-in-cities. - Maurizia Pignatelli; Sara Torabi Moghadam; Chiara Genta; Patrizia Lombardi (2023), Spatial decision support system for low-carbon sustainable cities development: An interactive storytelling dashboard for the city of Turin

Lecture notes; Exercises;

Exam: Written test; Compulsory oral exam; Group project;

The assessment is graded on a scale of 30/30, with evaluation criteria based on: a) Understanding of the topics, b) Ability to effectively present the topic, c) Capacity to discern the implications of real-world case studies and establish connections with other topics. The examination consists of two compulsory components: 1. An individual written test comprising multiple-choice questions, accounting for one-third of the total grade. 2. An oral exam incorporating the portfolio score for each group's presentation and discussion of workshop results, exercises, and theories. The portfolio encompasses all workshop outcomes and classroom exercises, constituting two-thirds of the total grade.

In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.