Measure how well a room is ventilated
Use a CO₂ monitor to estimate how often the air in a classroom, office or bedroom is replaced, then test what opening a window or running a fan actually does.
Preventing and preparing for severe pandemics, including ones made easier by AI.
Biosecurity work includes cleaner indoor air, better protective equipment, earlier detection of outbreaks and screening of DNA synthesis orders. AI matters here because it could make dangerous biological knowledge easier to access, and because it can also strengthen defences.
You don’t need a lab or a biology degree. Good first projects include measuring ventilation, writing guides, comparing policies and building small tools.
Short projects with numbered steps.
Use a CO₂ monitor to estimate how often the air in a classroom, office or bedroom is replaced, then test what opening a window or running a fan actually does.
Make a tiny calculator (a spreadsheet, notebook or web page) that tells anyone how much a portable air purifier would clean the air in their room.
Far-UVC light might kill airborne germs in occupied rooms. Write the clear, honest explainer the field is missing: what it is, how it works, what the evidence says, and what is still uncertain.
A great mask that leaks at the sides protects far less than people think. Make a clear, visual guide to fitting a respirator and the most common mistakes.
Companies make synthetic DNA to order. Screening those orders and the customers who place them is one of the main defences against engineered pandemics. Explain how it works and where the gaps are.
How did ancient and medieval societies protect themselves from plague? Research one historical practice (quarantine, isolation, trade rules) and draw a lesson for today.
Why does distance matter less indoors? Why does ventilation help? Turn the physics of how infectious particles move and build up in air into a clear explainer or interactive sketch.
The field lacks a friendly wiki. Pick one concept (far-UVC, DNA screening, elastomeric respirators, metagenomic surveillance) and write the clear, well-sourced page you wish existed.
Given a researcher’s ORCID ID, return the organisms they have published on, so a DNA synthesis company can quickly check whether a flagged order fits the customer’s research history.
Expand a handful of existing case studies into 25–40 profiles of legitimate and concerning customers, including historical cases of people who ordered dangerous biological material.
AI biology tools (protein design, CRISPR design and more) sometimes publish biosecurity statements. Add new tools to the repository and compare what they promise.
What should happen when someone discovers that a new tool could break existing defences, such as evading DNA screening? Draft a responsible-disclosure framework.
Compare how countries handle biosecurity suspicious-activity reports (reporting chains, data storage, privacy, jurisdiction gaps) against the financial sector’s anti-money-laundering systems.
The source author’s top priority. Ideas range from DIY measurement to retrofit kits and modelling tools, and most need no lab.
Help far-UVC get from promising to deployed: installation tools, simulations, public-trust research and supply-chain analysis.
Reusable respirators could protect essential workers in a severe pandemic. Many projects here are about evidence, communication and distribution.
How many critical workers would a city need to protect? How much indoor space is there? What data would a government want on day one of a crisis?
Explore whether AI tools can lower the effort of improving home air quality, or speed up reviewing the built-environment research literature.
Where is AI actually speeding up work on medical countermeasures, and where are regulation, trials or manufacturing the main bottleneck?
Compare “know your customer” and other frameworks for making DNA ordering more secure, drawing on what finance and other industries already do.
Pick one passive protection technology (antimicrobial surfaces, glycol vapours, hydrogen peroxide systems) and review its safety, efficacy and scalability.
Help forecasters do better: document past model failures, port useful tools, teach the maths, or build early-warning datasets.
Researchers keep re-collecting the same numbers. Turn one of them into a clean, open dataset or API.
Write the primers, problem sheets, curricula and case-study collections that would help the next wave of people get into biosecurity.
When is it safe to publish something like “this mask might fail because…”? Review the infohazard literature and propose clearer guidance.
History is full of biosecurity lessons: policies that backfired, quarantines that worked, and what nuclear governance can teach us.
Projects from other themes, and general projects that work in any theme.
Write a short, jargon-free explainer of one AI safety idea (reward hacking, sycophancy, compute governance, DNA screening) for someone outside tech.
Define ten key terms from the theme you’re most curious about, in one sentence each with an everyday example, then compare them with the site’s glossary.
Pick a beginner-friendly paper linked from any project on this site and summarise it in ten clear posts: the question, what they did, what they found, and why it matters.
A short video, a carousel, an illustrated explainer or a podcast segment: make one piece of honest, accurate AI safety content for an audience you understand.
Pick one short reading, invite 4–8 people, and run a focused one-hour discussion with three good questions.
Mentees will map the safeguard landscape for biological AI models and evaluate which mitigations hold up. Work spans surveying protein and genomic design models, characterizing existing mitigations across the model lifecycle, and assessing where they fail.
BiosecurityMisuse riskTechnical governance
Starter project: Write a page for a biosecurity wiki or Biosecurity before the year 1000: a history mini-essay
Most discussions of genetic engineering attribution focus on post-hoc forensic identification — tracing an engineered pathogen back to its source after release. This project will map the stages between initial intent and execution of a biological attack using engineered pathogens, and examine whether and how identification, evidentiary, or accountability mechanisms could apply earlier in that pipeline, not only at the point of forensic investigation.
BiosecurityMisuse risk
Starter project: Write a page for a biosecurity wiki or Biosecurity before the year 1000: a history mini-essay
AI-enabled biological misuse may emerge through multiple interacting pathways rather than a single linear chain of events. This project will build a literature-grounded scenario library, map the causal links and decision-relevant variables within each scenario, and use Bayesian inference (a quantitative risk estimation method developed by Safer AI) to compare how alternative pathways could amplify or mitigate biological risk.
BiosecurityMisuse risk
Starter project: Write a page for a biosecurity wiki or Biosecurity before the year 1000: a history mini-essay
This project explores biological foundation models for biosecurity screening, applying interpretability methods to identify biophysically relevant features that can reinforce screening against engineered and AI-designed biological threats.
BiosecurityMechanistic interpretability
Starter project: Explain DNA synthesis screening in one page or Write a page for a biosecurity wiki
Our project plans to test whether UNDO-style noise-and-distillation can make targeted unlearning in genomic foundation models resistant to adversarial fine-tuning, while quantifying the associated compute and performance trade-offs.
BiosecurityMisuse riskTechnical governance
Starter project: Biosecurity before the year 1000: a history mini-essay or Write a page for a biosecurity wiki
Mentees will build evaluation scenarios grounded in how people actually used AI during a large wet-lab uplift trial. Work spans qualitative coding of interaction logs, comparison against SecureBio's existing benchmark coverage, and piloting new items against frontier models.
BiosecurityEvaluations
Starter project: Write a page for a biosecurity wiki or Biosecurity before the year 1000: a history mini-essay