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schools/oct-24/index.html

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         <h5>Course overview</h5>
         <p>Can traditional Bill of Materials-based LCA inventories meet the demand for high quality decision support at scale? This Autumn School will explore alternative models for inventory creation, deployment, validation, and quality assurance. In a break from previous DdS schools, the focus will not be on Brightway and friends, but on a new tool ecosystem to be developed in 2024 focused on data exchange and compatibility, reconciliation of conflicting observations, automatic validation, and user-friendly reporting and interpretation tools. Participants in previous DdS schools are welcome to apply for this school as well.</p>
-        <p>
-          Open source tools have dramatically increased our ability to realize the true potential of life cycle assessment. We have tools for cloud calculations, uncertainty and sensitivity assessment, parametric modelling, interfaces to external models, inclusion of spatial and temporal information, generation of new databases for scenarios and prospective LCA, hybridization of multiple databases and database modelling perspectives, and much more. In this spring school we will build on these open source foundations, including <a href="https://docs.brightway.dev/en/latest/">Brightway</a> and <a href="https://github.com/polca/premise">Premise</a>, to make our inventory models better able to answer our research questions. The instructors will be <a href="https://www.psi.ch/en/ta/people/romain-sacchi">Romain Sacchi</a> and <a href="https://chris.mutel.org/">Chris Mutel</a>, the developers of <a href="https://github.com/polca/premise">Premise</a> and <a href="https://docs.brightway.dev/en/latest/">Brightway</a>, and <a href="https://www.psi.ch/de/ta/people/michael-weinold">Michael Weinold</a>, the creator and maintainer of the <a href="https://docs.brightway.dev/">Brightway online documentation</a>.</p>
-        <p>The course will focus on the shift from life cycle inventories as bills of materials to product system models. We will cover the basic of Brightway, and then go into best practices for model development. We will cover both the scientific side, including correlated inputs, sensitivity analysis for parsimonious models, and multiple types of uncertainty, and best practices in software architecture, including documentation standards and tools, testing, data and source version control, linting, and quick tool builders like <a href="https://streamlit.io/">Streamlit</a> and <a href="https://dash.plotly.com/">Dash</a>. We will then apply these concepts while diving deep into Premise, and will write parameterized models to generate custom scenario data. We will also explore the use of correlated uncertainty in Premise calculations.</p>
-        <p>The structure of the school starts with two days of interactive teaching sessions using Jupyter Notebooks. These notebooks include exercises, and we will discuss the solutions in class. From Wednesday to Friday, you will work in groups of around five people and apply these ideas in group projects. Each group will have a dedicated assistant. Groups will present their results on Friday afternoon.</p>
-        <p>This autumn school is primarily aimed at PhD and postdocs students who are studying or using life cycle assessment, but others are also welcome to apply. Students who complete the school will receive a certificate for 2 ETCS credit points. Enrolment is limited to 25 people.</p>
-        <p>The school is organised by <a href="https://www.d-d-s.ch/">Départ de Sentier</a>, a Swiss nonprofit association which supports open sustainability assessment and public engagement, with support from the <a href="https://ciraig.org/">CIRAIG</a>.</p>
+        <p>As this school will be built on software and methods to be developed this year, we don't have a lot of detail on how everything will work, and we will be teaching and programming against alpha software versions. However, we do want to have answers for the following questions:</p>
+        <ul>
+          <li>How can we link data across open databases in different formats and nomenclature lists?</li>
+          <li>How can we transparently and reproducibly transform data from one ontology and nomenclature system to another?</li>
+          <li>How can we reconcile multiple conflicting observations for the same product system model?</li>
+          <li>How can we trace and display data lineage?</li>
+          <li>How can we allow for partial dataset definition or data updates?</li>
+          <li>Can we automatically generate or validate product system models using AI?</li>
+          <li>What best practices can make data easily usable in advanced LCA uses cases or in other subject domains?</li>
+        </ul>
+        <p>When answering these questions, we will cover the scientific side, including correlated inputs, sensitivity analysis for parsimonious models, and multiple types of uncertainty, and best practices in software architecture, including documentation standards and tools, testing, data and source version control, linting, and quick tool builders like <a href="https://streamlit.io/">Streamlit</a> and <a href="https://dash.plotly.com/">Dash</a>.</p>
+        <p>The structure of the school starts with two and a half days of interactive teaching sessions using Jupyter Notebooks. These notebooks include exercises, and we will discuss the solutions in class. From Wednesday to Friday, you will work in groups of around five people and apply these ideas in group projects. Each group will have a dedicated assistant. Groups will present their results on Friday afternoon.</p>
+        <p>This autumn school is primarily aimed at PhD and postdocs students who are studying or using life cycle assessment, but others are also welcome to apply. Students who complete the school will receive a certificate for 2 ETCS credit points. Enrolment is limited to 30 people.</p>
+        <p>The school is organised by <a href="https://www.d-d-s.ch/">Départ de Sentier</a>, a Swiss nonprofit association which supports open sustainability assessment and public engagement.</p>
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         <h5>Location</h5>
-        <p>The summer school will be held in the <a href="https://monastere.ca/">Monastère des Augustines</a> in central Québec City, Canada. This restored monastery is a fantastic place for focused learning and working. We will all stay in the <a href="https://monastere.ca/en/accommodation">authentic rooms</a>.</p>
-        <h5>Brightway introduction</h5>
-        <p>Some basic understanding of Python is necessary for the school. Brightway has an <a href="https://documentation.brightway.dev/en/latest/">training and documentation online</a>, and we will offer a half-day online introduction to Brightway for course participants before the school starts.</p>
+        <p>The summer school will be held in the <a href="https://www.moeschberg.ch/">Möschberg</a> seminar hotel, in Grosshöchstetten, Switzerland. This hotel is outside the village, with views south towards the Bernese Alps. Möschberg emphasises local and organic food for its guests.</p>
+        <h5>Python introduction</h5>
+        <p>Some basic understanding of Python is helpful for the school. The Sunday session will be a half-day refresher on Python basics and the concepts needed for school projects.</p>
         <h5>Starting and ending times</h5>
         <p>The school starts with lunch at 12:00 on Sunday, and it's most convenient to arrive on the 11:04 train into Grosshöchstetten. The school ends at 16:00 on Friday, though we will offer an Apéro with snacks and drinks for students on Friday evening. You can <a href="https://www.moeschberg.ch/lageplan/">contact the hotel</a> if you want to stay Friday night, or arrive before Sunday morning.</p>
         <h5>Language</h5>