International Society for Industrial Ecology - ISIE

Call for Abstracts Submission: Empowering Life Cycle Sustainability Assessment with Digital Technologies for Sustainable Industrial Transition (ISIE2025) Alessandro Manzardo and Junzhang Wu are organizing a special session at the 12th International Conference on Industrial Ecology (ISIE2025) of the International Society for Industrial Ecology, Singapore. Abstract Submission Deadline: December 31, 2024 Submit Your Abstract Here: https://lnkd.in/dQXKJHRp Conference Dates: July 1-4, 2025   Location: National University of Singapore  Special Session Title: Empowering Life Cycle Sustainability Assessment with Digital Technologies for Sustainable Industrial Transition Sustainability professionals, industrial managers, researchers, and policymakers are invited to submit abstracts and join in exploring how Digital Technologies (DT) can revolutionize Life Cycle Sustainability Assessment (LCSA) to facilitate a sustainable industrial transition. Key Topics Include: Smart Sensors: Innovations in data collection and visualization for improved accuracy and efficiency. Internet of Things (IoT): Streamlining LCSA processes through interconnected devices and systems. Blockchain Technologies: Enhancing data management and transparency with distributed ledger systems. Artificial Intelligence (AI): Supporting data collection, impact assessment, and results interpretation. Barriers to Adoption: Addressing challenges in implementing DT in sustainability assessments. Enabling Life Cycle Thinking: Leveraging DT for life cycle thinking in industrial transition. Why Participate? Gain insights into the latest advancements in DT applications within LCSA. Learn from practical case studies and expert presentations. Contribute to strategies that overcome implementation barriers. Network with professionals dedicated to sustainable and digital industrial transitions. For more information about the conference, visit the ISIE2025 Official Website.

Thank you for joining us in our webinar, "The Role of Waste Management in Achieving a (Bio)Circular Economy and the Sustainable Development Goals"! ✨ This morning, we had the opportunity to share a space for learning, dialogue, and collaboration as part of the Industrial Ecology Day 2024 and our project "Driving the Green Transition through Mobility and Effective Communication between Higher Education Institutions in Finland and Chile", funded by Team Finland Knowledge. 🌎 During the event, distinguished panelists from Chile and Finland discussed how waste management can serve as a key pillar for advancing a more sustainable economy, contributing to the achievement of the Sustainable Development Goals. 💡 👥 Special thanks to our speakers and organizers: ✅ Lisbet Yañez Stegmaier ✅ Isabel Muñoz Hidalgo ✅ Rodrigo Morales Vera, Ph.D. ✅ Carlos AlvarezVasco ✅ Harri Auvinen ✅ Cristóbal Fernando Montalba Weisse (Apologies if anyone was unintentionally left out – this post can be updated!) This event would not have been possible without the support of our partner institutions: 📌 Universidad de Talca de 📌 Facultad de Ingeniería Universidad de Talca 📌 University of Eastern Finland 📌 Karelia University of Applied Sciences 📌 Savonia University of Applied Sciences 📌 Universidad Católica del Maule 📌 Universidad de Concepción 📌 Universidad Austral de Chile ✨ We hope this session was inspiring and valuable for all attendees! We are excited to continue driving the green transition and strengthening international collaboration networks. 📸 Here are some highlights from the webinar. See you at the next event!

✨IE Day 2024: Register, Discover Posters, and Join as a Reviewer! We’re excited to announce that 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 is now open for 𝗜𝗘 𝗗𝗮𝘆 𝟮𝟬𝟮𝟰 𝗼𝗻 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿 𝟮𝟭! Explore the full program and sign up for sessions that interest you: https://lnkd.in/e6Hy72bR 𝗧𝗵𝗶𝘀 𝘆𝗲𝗮𝗿’𝘀 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: Join us for a special lineup of 𝙋𝙤𝙨𝙩𝙚𝙧 𝙎𝙚𝙨𝙨𝙞𝙤𝙣𝙨! With three unique sessions on the agenda, this addition promises to make IE Day 2024 even more engaging and insightful. We’re also seeking 𝗿𝗲𝘃𝗶𝗲𝘄𝗲𝗿𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗽𝗼𝘀𝘁𝗲𝗿 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀. By volunteering, you’ll play a key role in making this event remarkable! 📝 Sign up to review here: https://lnkd.in/eRFWMqcE Join us, and let’s make this a day to remember! 🙌

Just two days to our session on how to make sense of Scope 3 emissions in input-output models. Sign up now! Economic interconnections: Hypothetical Extraction Method in Input-Output Analysis, 21 Nov, 13.00 CET It has long been the desire of industrial ecologists to understand the interconnectedness of the economy. While methods such as production layer, structural path, and network analysis provide insights into individual trades, the systematic economy-wide interconnectedness requires different approaches. The Hypothetical Extraction Method (HEM), also called supply chain impact method within industrial ecology, is able to systematically investigate this interconnectedness. It can calculate how much of a product’s price or footprint is due to the input provided by specified other sectors, anywhere in the production network. It can determine how much of an industry’s inputs come from a specific production process, which is why it has been used for disaster impact analysis in regional economics. Here we provide a short introduction to the method and provide several examples of how it is used in ongoing research. Session Details:  00        Welcome 02        Edgar Hertwich (NTNU): Hypothetical Extraction in Industrial Ecology 15        Max Koslowski (NTNU): HEM recap 20        Hanspeter Wieland (BOKU): HEM for analysing global steel flows and other stock-building materials 27        Kajwan Rasul (XIO SA): HEM to construct the FABEXIO hybrid IO tables 35        Francis Barre (NILU): Indirect exposure to coastal flood risks in the Norwegian economy 42        Oskar Wood Hansen (UAB): The emission intensity of employment: implications for climate policy & public acceptability 50        Meng Jiang (NTNU): Petrochemicals in the global economy https://lnkd.in/dk7hrPqj #input-output analysis, #Scope3, #HypotheticalExtraction, #SupplyChain