This is a continuation of a series of posts regarding my transition to Biosecurity. After having completed the BlueDot Impact Course on Biosecurity (which I would highly recommend), the next question I wanted to answer is which biosecurity intervention should I focus on? I want to focus on an intervention that is suited to my skillset. However, this was not as straightforward, given the broad landscape of biosecurity interventions. My idea was to create a breakdown of biosecurity interventions mapped to relevant technical and policy skills. I hope this post will help others like myself.
Based on this analogy, I believe we should prioritize earlier layers of defense, since containing a pandemic after it has already broken out is much more costly than preventing it in the first place. However, I’ve heard a couple different counterarguments to this, including:
Some defenses are weaker than others. For instance, the BWC is notoriously hard to enforce
We should prioritize neglected interventions. For instance, one could make the case that there are still a lot of low-hanging fruit with regards to non-pharmaceutical interventions, such as Far-UVC .
We will need all layers of defense, so that weaknesses in one layer do not threaten the whole system (see Swiss cheese model)
I’m curious what others have to say about this, and how it fits into their intervention prioritization.
Mapping Interventions <-> Skills
Now that we have an overview of specific interventions within Biosecurity, we can map those to relevant skills. Some interventions are more technically oriented, some are more policy oriented, and some are both (source). I have listed some relevant skills below, but it is by no means exhaustive. A couple of final caveats before the final mapping:
Operational skills seem applicable across different interventions
This resource should help assess fit for a particular role, but one should consider other factors, such as significance, efficacy, and leverage (see SELF framework)
Health economics
Layer 1: Prevention
Interventions
Technical
Policy Skills
AI Safeguards
Machine Learning
Red-teaming
Software Engineering
Statistics/​data analysis
Information security
Public policy/​law
International relations/​diplomacy
DNA Synthesis Screening
Bioinformatics
Cryptography
Machine Learning
Software Engineering
Biological Weapons Convention
International relations/​diplomacy
Governance of risky biological research
Public policy/​law
Layer 2: Detection
Interventions
Technical
Policy Skills
Metagenomic sequencing
Bioinformatics
Mathematical modelling/​epidemiology
Wetlab skills
Regulatory policy
International data-sharing
Health economics
Rapid Individual testing
Bioengineering
Biochemistry
Electrical/​mechanical engineering
Software engineering
Regulatory policy
Health economics
Procurement policy
Genetic engineering detection/​attribution
Bioinformatics
Machine Learning
Synthetic biology
Comparative genomics
Microbial forensics
International law
Arms control
Dual-use governance
National security policy
Internet Search Traffic monitoring
Agricultural Disease Monitoring
Layer 3: Non-Pharmaceutical Interventions
Interventions
Technical
Policy Skills
Pandemic proof PPE
Mechanical engineering
Physics
Mathematical modelling/​epidemiology
Regulatory policy
Procurement policy
Public health communication
Health economics
Biohardening (Far-UVC & Glycol Vapors, better Air Purifiers)
Mechanical engineering
Physics
Civil Engineering
Mathematical modelling/​epidemiology
Regulatory policy
Building codes /​ standards policy
Public health communication
Health economics
Layer 4: Medical Countermeasures
Interventions
Technical
Policy Skills
Faster R&D
Bioengineering/​Synthetic Biology
Computational Biology
Machine Learning
Immunology
Virology
Regulatory policy
Research funding policy
Intellectual property law
Clinical Trials innovation
Biostatistics
Software Engineering
Epidemiological modelling
Data science
Regulatory policy
Bioethics
International coordination
Better financing and procurement
Health economics/​modelling
Data science
Supply chain optimization
Public policy/​law
International trade law
Procurement policy
Health economics
Faster manufacturing and delivery
Chemical/​bioprocess engineering
Supply chain/​logistics engineering
Software Engineering
Mechanical Engineering
Regulatory policy
Trade policy
Procurement Policy
International Coordination
Broad-spectrum vaccines and therapeutics
Bioengineering/​synthetic biology
Computational biology
Machine Learning
Structural biology
Regulatory policy
Health economics
Future Work
I think it would also be useful to add a column for organizations doing relevant work in these interventions so readers know where to apply and reach out. I will consider adding this if there’s sufficient interest.
As mentioned above, if you’d like to contribute or have expertise in any of these areas, please leave a comment or reach out directly.
What’s missing & how you can help
This mapping is incomplete. I’m sharing it now because I think even the partial version is useful, and because I’d like the community’s help improving it. Specific areas where feedback would be valuable:
Prioritizing the first layers of defense: do you agree? Disagree? What evidence or frameworks should I be considering?
Missing interventions or skills: what have I overlooked?
General usefulness: is this format helpful for your own career planning? What would make it more so?
If you’d like to contribute or have expertise in any of these areas, please leave a comment or reach out directly.
A Skills-Based Taxonomy of Biosecurity Interventions
Context
This is a continuation of a series of posts regarding my transition to Biosecurity. After having completed the BlueDot Impact Course on Biosecurity (which I would highly recommend), the next question I wanted to answer is which biosecurity intervention should I focus on? I want to focus on an intervention that is suited to my skillset. However, this was not as straightforward, given the broad landscape of biosecurity interventions. My idea was to create a breakdown of biosecurity interventions mapped to relevant technical and policy skills. I hope this post will help others like myself.
The Castle: A Mental Model for Biosecurity
The biosecurity interventions I selected are mostly based on the curriculum for the BlueDot Impact Course on Biosecurity, with some additions from the Map of Biosecurity Interventions, and a Computer Scientist’s Guide to Stopping Pandemics. I think it’s useful to think of Biosecurity as a tiered defense system of a castle. Using this analogy, we can break down the interventions like so:
AI Safeguards
DNA Synthesis Screening
BWC
Metgenomic sequencing
Rapid Individual testing
Genetic engineering/​attribution
Pandemic proof PPE
Far-UVC
Platform vaccines
Broad-spectrum vaccines and therapeutics
Clinical Trials innovation
Should the first layers of defense
Based on this analogy, I believe we should prioritize earlier layers of defense, since containing a pandemic after it has already broken out is much more costly than preventing it in the first place. However, I’ve heard a couple different counterarguments to this, including:
Some defenses are weaker than others. For instance, the BWC is notoriously hard to enforce
We should prioritize neglected interventions. For instance, one could make the case that there are still a lot of low-hanging fruit with regards to non-pharmaceutical interventions, such as Far-UVC .
We will need all layers of defense, so that weaknesses in one layer do not threaten the whole system (see Swiss cheese model)
I’m curious what others have to say about this, and how it fits into their intervention prioritization.
Mapping Interventions <-> Skills
Now that we have an overview of specific interventions within Biosecurity, we can map those to relevant skills. Some interventions are more technically oriented, some are more policy oriented, and some are both (source). I have listed some relevant skills below, but it is by no means exhaustive. A couple of final caveats before the final mapping:
Operational skills seem applicable across different interventions
This resource should help assess fit for a particular role, but one should consider other factors, such as significance, efficacy, and leverage (see SELF framework)
Health economics
Layer 1: Prevention
Machine Learning
Red-teaming
Software Engineering
Statistics/​data analysis
Information security
Public policy/​law
International relations/​diplomacy
Bioinformatics
Cryptography
Machine Learning
Software Engineering
International relations/​diplomacy
Public policy/​law
Layer 2: Detection
Bioinformatics
Mathematical modelling/​epidemiology
Wetlab skills
Regulatory policy
International data-sharing
Health economics
Bioengineering
Biochemistry
Electrical/​mechanical engineering
Software engineering
Regulatory policy
Health economics
Procurement policy
Bioinformatics
Machine Learning
Synthetic biology
Comparative genomics
Microbial forensics
International law
Arms control
Dual-use governance
National security policy
Layer 3: Non-Pharmaceutical Interventions
Mechanical engineering
Physics
Mathematical modelling/​epidemiology
Regulatory policy
Procurement policy
Public health communication
Health economics
Mechanical engineering
Physics
Civil Engineering
Mathematical modelling/​epidemiology
Regulatory policy
Building codes /​ standards policy
Public health communication
Health economics
Layer 4: Medical Countermeasures
Bioengineering/​Synthetic Biology
Computational Biology
Machine Learning
Immunology
Virology
Regulatory policy
Research funding policy
Intellectual property law
Biostatistics
Software Engineering
Epidemiological modelling
Data science
Regulatory policy
Bioethics
International coordination
Health economics/​modelling
Data science
Supply chain optimization
Public policy/​law
International trade law
Procurement policy
Health economics
Chemical/​bioprocess engineering
Supply chain/​logistics engineering
Software Engineering
Mechanical Engineering
Regulatory policy
Trade policy
Procurement Policy
International Coordination
Bioengineering/​synthetic biology
Computational biology
Machine Learning
Structural biology
Regulatory policy
Health economics
Future Work
I think it would also be useful to add a column for organizations doing relevant work in these interventions so readers know where to apply and reach out. I will consider adding this if there’s sufficient interest.
As mentioned above, if you’d like to contribute or have expertise in any of these areas, please leave a comment or reach out directly.
What’s missing & how you can help
This mapping is incomplete. I’m sharing it now because I think even the partial version is useful, and because I’d like the community’s help improving it. Specific areas where feedback would be valuable:
Prioritizing the first layers of defense: do you agree? Disagree? What evidence or frameworks should I be considering?
Missing interventions or skills: what have I overlooked?
General usefulness: is this format helpful for your own career planning? What would make it more so?
If you’d like to contribute or have expertise in any of these areas, please leave a comment or reach out directly.