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‎2026-03-24.qmd‎

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## Draft schedule
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09.00 Arrival & welcome
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10.30 Arrival & welcome
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09.15 Opening introduction
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09.30 Group discussion: What does responsible modelling look like?
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10.40 Opening introduction
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10.00 Coffee
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### Evaluation in scientific settings
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11.00 Panel: Evaluation across epidemiological contexts
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10.30 Speaker lead: When and what can we evaluate in modelling work?
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11.35 Coffee
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11.00 3x rapid talks: Evaluation across epidemiological contexts
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11.50 Group discussion: What can we evaluate, and why does it matter?
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11.45 Small group discussion
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12.15 Group activity: Designing training for scientific responsibility
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12.45 Gallery walk
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12.15 Lunch
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13.00 Lunch
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13.00 Speaker lead: Evaluating evidence in public health action
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### Evaluation in public health settings
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13.30 3x rapid talks: Policy, values, and expertise in modelling
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14.00 Panel: Evaluation across public health contexts
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14.00 Small group discussion
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14.35 Group discussion: Where do values enter modelling decisions?
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15.00 Coffee
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15.20 Group activity: Designing training for social responsibility
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14.30 Coffee
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15.50 Gallery walk
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15.00 Plenary discussion: taking responsibility - what kind of training might modellers need?
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### Prioritisation & practice
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15.45 Summary
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16.00 Joint priority-setting across both themes
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16.00 Close
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16.30 Summary
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16.45 Close

‎CLAUDE.md‎

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# CLAUDE.md
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Quarto static website for the "Responsible Modelling" workshop (epidemiological modelling, LSHTM, March 2026).
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## Workshop background
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Epidemiological modelling is expanding in capacity and visibility (e.g. COVID-19), but professional norms for evaluation and ethical conduct are still forming. This workshop asks: what does responsible modelling look like in practice?
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The day is structured around two complementary angles:
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1. **Scientific responsibility** — technical evaluation of models (validity, assumptions, reproducibility). How do we assess model quality across contexts, from endemic disease programmes to real-time outbreak response?
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2. **Social responsibility** — the role of values, expertise, and judgement when models inform public health decisions. Modelling choices are value-laden (parameter selection, objective functions, uncertainty quantification, ensemble interpretation). Who counts as an expert, and what are modellers' ethical duties?
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Key intellectual threads (from organisers Kath Sherratt, Seb Funk, Erica Thompson):
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- Evaluation is central: both of model outputs (predictions, forecasts) and modelling processes
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- Expert judgement is unavoidable — the question is how to apply it well
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- Communication alone is not the answer; responsibility starts upstream in model designs
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- The goal is practical: identify what responsible practice looks like and how to embed it in training and workflows
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Intended outcomes: shared resources/examples for good practice, a network of interest, and groundwork toward integrating responsible modelling into training (e.g. MSc modules, short courses, UKHSA-specific development).
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Background references: Zotero library at https://www.zotero.org/groups/6153593/responsible_id_modelling
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### Workshop style
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Collaborative, ~50 participants, in a single room. Facilitation aims to use appropriate Liberating Structures techniques where relevant: https://www.liberatingstructures.com/ls/
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## Commands
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- `quarto preview` — local dev server with live reload
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- `quarto render` — build the site to `_site/`
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## Structure
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- Root `.qmd` files — public website pages (index, schedule, register, about, resources)
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- `admin/` — internal planning docs (agenda, logistics, TODOs); excluded from rendering
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- `_quarto.yml` — site config, navbar, theme settings
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- `styles.css` — custom CSS
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- `_site/` — build output (gitignored)
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## Conventions
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- Pages are Quarto Markdown (`.qmd`), not plain `.md`
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- Navbar defined in `_quarto.yml` under `website.navbar.left`
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- Admin/planning files go in `admin/`, never rendered to the site
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- MIT License (Epiforecasts)
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## Deployment
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GitHub Actions (`.github/workflows/publish.yml`) auto-renders and publishes to GitHub Pages on push to `main`. Site URL: https://epiforecasts.io/responsible-modelling/

‎index.qmd‎

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title: "Exploring responsibility in infectious disease modelling"
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title: "Evaluation and responsibility in infectious disease modelling"
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:::{.callout-note .column-margin}
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## Key details
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- **Date:** 24 March 2026
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- **Timing:** 09.00 - 16.00
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- **Timing:** 10.00 - 16.00
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- **Location:** London School of Hygiene & Tropical Medicine, Keppel St, London WC1E 7HT
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- **Participants:** approx. 50 participants across academia and public health
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- **Participants:** 30-50 participants across academia and public health
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:::
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What does responsible modelling look like?
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We are convening a one-day workshop (24 March 2026, LSHTM) to explore scientific and social responsibilities in modelling.
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We aim to build a shared understanding of how modelling work is evaluated across epidemiological and public health contexts.
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Working from this, we will collaboratively draw out professional norms, values, and expectations.
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Then we'll test what this looks like in practice by co-designing training material for responsible modellers.
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While epidemiological modelling expands in capacity and visibility, professional norms for evaluation and ethical conduct are still taking shape.
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The day is structured around two complementary themes:
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This one-day workshop brings together the infectious disease modelling community to build a shared understanding of what responsibility means in practice, addressing questions across model design, implementation, and use.
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- **Epidemiology, evaluation, and scientific responsibility**
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- **Public health, values, and social responsibility**
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Centring evaluation, we will examine both the scientific validity and social legitimacy of epidemiological models.
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Together, we will:
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- Compare technical evaluation approaches across epidemiological contexts, from sustained control programmes to real-time outbreak response
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- Identify the role of expertise and value judgement when developing models for public health action
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- Learn from peers' experiences while building a community of practice
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Through expert-led sessions and collaborative discussion, we will identify opportunities to strengthen responsible practices in our own work and the wider field.
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The day closes with a joint priority-setting exercise, drawing on both themes to identify practical ideas and resources for embedding responsibility into modelling work.
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