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Online & In-Person
AIxBio Hackathon

A weekend hackathon on AI and biosecurity: DNA synthesis screening, pandemic early warning, and practitioner tools.
08
Days To Go
A weekend hackathon on AI and biosecurity: DNA synthesis screening, pandemic early warning, and practitioner tools.
This event is ongoing.
This event has concluded.
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Overview
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Overview

The AIxBio Hackathon brings together researchers, engineers, biosecurity professionals, and AI safety enthusiasts to work on one of the most urgent intersections in safety: how AI is changing biological risk, and what we can build to stay ahead.
Over three days, participants will develop tools, prototypes, and research addressing real gaps in biosecurity infrastructure, from DNA synthesis screening and pandemic early warning systems to practitioner tools that don't exist yet.
Organized by
Apart Research | BlueDot Impact | Cambridge Biosecurity Hub
Track sponsors: CBAI (DNA Screening & Synthesis Controls) | Measuring AI Progress (Pandemic Early warning) | Fourth Eon Bio (AI Biosecurity Tools) | Sentinel Bio (Benchtop Synthesizer Security)

What is AIxBio?
AI is transforming biology faster than biosecurity can keep up. Open-weight biological foundation models like Evo2 (a DNA language model, 40B parameters, trained on 128,000+ genomes) and protein design tools like RFdiffusion are making it possible to design novel biological sequences with less expertise than ever before. At the same time, benchtop DNA synthesizers are approaching the capability to print virus-length sequences (expected within 2-5 years), and current screening infrastructure covers only a fraction of global synthesis capacity.
On the defensive side, pathogen-agnostic metagenomic surveillance is finally becoming practical. Wastewater monitoring can detect outbreaks weeks before hospitals see cases. AI anomaly detection could identify engineered pathogens in sequencing data. But most of these tools are siloed, under-resourced, or still in the research phase. The field needs builders.
Hackathon Tracks
1. DNA Screening & Synthesis Controls (sponsored by CBAI)
Build better tools for screening DNA synthesis orders from commercial providers, detecting dangerous sequences, and creating guardrails for AI-powered biological design tools. Current screening misses AI-designed protein variants and struggles with short sequences. For projects focused on benchtop synthesizer security, see Track 4.
2. Pandemic Early Warning (sponsored by Measuring AI Progress)
Develop AI-powered surveillance, anomaly detection, and data integration tools for catching outbreaks earlier. Wastewater monitoring, metagenomic sequencing, and open-source disease intelligence are all ripe for better tooling.
3. AI Biosecurity Tools (sponsored by Fourth Eon Bio)
Build the tools that biosecurity practitioners actually need: unified dashboards, rapid risk assessment systems, policy trackers, secure communication tools, and accessible resources for under-resourced institutions.
4. Benchtop Synthesizer Security (sponsored by Sentinel Bio)
Build security infrastructure for benchtop DNA synthesizers before they reach dangerous capability thresholds: phone-home screening, tamper-proof hardware, split order detection, and customer verification. No mandatory screening exists today, but US and EU legislative momentum is opening a window to change this.
Who should participate?
AI safety researchers and engineers
Biosecurity and public health professionals
Machine learning researchers interested in biological applications
Security researchers and red teamers
Policy researchers working on biogovernance
Software engineers interested in building safety infrastructure
Students and early-career researchers exploring biosecurity
No prior biosecurity experience is required. The Resources tab has a curated reading list organized by track. Teams typically form at the start of the event.
What you will do
Over three days, you will:
Form teams and choose a challenge track
Research and scope a specific problem using the provided resources
Build a project: a tool, prototype, evaluation, or research contribution
Submit a research report (PDF) documenting your approach, results, and implications
Have your work reviewed by judges from leading biosecurity and AI safety organizations
What happens next
After the hackathon, all submitted projects will be reviewed by expert judges. Top projects receive prizes and are featured on the Apart Research website. Outstanding work may be invited for further development, publication, or presentation at upcoming events.
Why join?
Apart Research has organized 55+ research sprints with 7,000+ participants across 200+ global locations. Co-organized with BlueDot Impact and Cambridge Biosecurity Hub, with track sponsorship from CBAI, Sentinel Bio, Fourth Eon Bio, and Measuring AI Progress. Our hackathons produce real research output: published papers, new research collaborations, and contributions to open-source safety tools used across the field.
Sign Ups
Entries
Overview
Resources
Guidelines
Schedule
Entries
Overview

The AIxBio Hackathon brings together researchers, engineers, biosecurity professionals, and AI safety enthusiasts to work on one of the most urgent intersections in safety: how AI is changing biological risk, and what we can build to stay ahead.
Over three days, participants will develop tools, prototypes, and research addressing real gaps in biosecurity infrastructure, from DNA synthesis screening and pandemic early warning systems to practitioner tools that don't exist yet.
Organized by
Apart Research | BlueDot Impact | Cambridge Biosecurity Hub
Track sponsors: CBAI (DNA Screening & Synthesis Controls) | Measuring AI Progress (Pandemic Early warning) | Fourth Eon Bio (AI Biosecurity Tools) | Sentinel Bio (Benchtop Synthesizer Security)

What is AIxBio?
AI is transforming biology faster than biosecurity can keep up. Open-weight biological foundation models like Evo2 (a DNA language model, 40B parameters, trained on 128,000+ genomes) and protein design tools like RFdiffusion are making it possible to design novel biological sequences with less expertise than ever before. At the same time, benchtop DNA synthesizers are approaching the capability to print virus-length sequences (expected within 2-5 years), and current screening infrastructure covers only a fraction of global synthesis capacity.
On the defensive side, pathogen-agnostic metagenomic surveillance is finally becoming practical. Wastewater monitoring can detect outbreaks weeks before hospitals see cases. AI anomaly detection could identify engineered pathogens in sequencing data. But most of these tools are siloed, under-resourced, or still in the research phase. The field needs builders.
Hackathon Tracks
1. DNA Screening & Synthesis Controls (sponsored by CBAI)
Build better tools for screening DNA synthesis orders from commercial providers, detecting dangerous sequences, and creating guardrails for AI-powered biological design tools. Current screening misses AI-designed protein variants and struggles with short sequences. For projects focused on benchtop synthesizer security, see Track 4.
2. Pandemic Early Warning (sponsored by Measuring AI Progress)
Develop AI-powered surveillance, anomaly detection, and data integration tools for catching outbreaks earlier. Wastewater monitoring, metagenomic sequencing, and open-source disease intelligence are all ripe for better tooling.
3. AI Biosecurity Tools (sponsored by Fourth Eon Bio)
Build the tools that biosecurity practitioners actually need: unified dashboards, rapid risk assessment systems, policy trackers, secure communication tools, and accessible resources for under-resourced institutions.
4. Benchtop Synthesizer Security (sponsored by Sentinel Bio)
Build security infrastructure for benchtop DNA synthesizers before they reach dangerous capability thresholds: phone-home screening, tamper-proof hardware, split order detection, and customer verification. No mandatory screening exists today, but US and EU legislative momentum is opening a window to change this.
Who should participate?
AI safety researchers and engineers
Biosecurity and public health professionals
Machine learning researchers interested in biological applications
Security researchers and red teamers
Policy researchers working on biogovernance
Software engineers interested in building safety infrastructure
Students and early-career researchers exploring biosecurity
No prior biosecurity experience is required. The Resources tab has a curated reading list organized by track. Teams typically form at the start of the event.
What you will do
Over three days, you will:
Form teams and choose a challenge track
Research and scope a specific problem using the provided resources
Build a project: a tool, prototype, evaluation, or research contribution
Submit a research report (PDF) documenting your approach, results, and implications
Have your work reviewed by judges from leading biosecurity and AI safety organizations
What happens next
After the hackathon, all submitted projects will be reviewed by expert judges. Top projects receive prizes and are featured on the Apart Research website. Outstanding work may be invited for further development, publication, or presentation at upcoming events.
Why join?
Apart Research has organized 55+ research sprints with 7,000+ participants across 200+ global locations. Co-organized with BlueDot Impact and Cambridge Biosecurity Hub, with track sponsorship from CBAI, Sentinel Bio, Fourth Eon Bio, and Measuring AI Progress. Our hackathons produce real research output: published papers, new research collaborations, and contributions to open-source safety tools used across the field.
Sign Ups
Entries
Overview
Resources
Guidelines
Schedule
Entries
Overview

The AIxBio Hackathon brings together researchers, engineers, biosecurity professionals, and AI safety enthusiasts to work on one of the most urgent intersections in safety: how AI is changing biological risk, and what we can build to stay ahead.
Over three days, participants will develop tools, prototypes, and research addressing real gaps in biosecurity infrastructure, from DNA synthesis screening and pandemic early warning systems to practitioner tools that don't exist yet.
Organized by
Apart Research | BlueDot Impact | Cambridge Biosecurity Hub
Track sponsors: CBAI (DNA Screening & Synthesis Controls) | Measuring AI Progress (Pandemic Early warning) | Fourth Eon Bio (AI Biosecurity Tools) | Sentinel Bio (Benchtop Synthesizer Security)

What is AIxBio?
AI is transforming biology faster than biosecurity can keep up. Open-weight biological foundation models like Evo2 (a DNA language model, 40B parameters, trained on 128,000+ genomes) and protein design tools like RFdiffusion are making it possible to design novel biological sequences with less expertise than ever before. At the same time, benchtop DNA synthesizers are approaching the capability to print virus-length sequences (expected within 2-5 years), and current screening infrastructure covers only a fraction of global synthesis capacity.
On the defensive side, pathogen-agnostic metagenomic surveillance is finally becoming practical. Wastewater monitoring can detect outbreaks weeks before hospitals see cases. AI anomaly detection could identify engineered pathogens in sequencing data. But most of these tools are siloed, under-resourced, or still in the research phase. The field needs builders.
Hackathon Tracks
1. DNA Screening & Synthesis Controls (sponsored by CBAI)
Build better tools for screening DNA synthesis orders from commercial providers, detecting dangerous sequences, and creating guardrails for AI-powered biological design tools. Current screening misses AI-designed protein variants and struggles with short sequences. For projects focused on benchtop synthesizer security, see Track 4.
2. Pandemic Early Warning (sponsored by Measuring AI Progress)
Develop AI-powered surveillance, anomaly detection, and data integration tools for catching outbreaks earlier. Wastewater monitoring, metagenomic sequencing, and open-source disease intelligence are all ripe for better tooling.
3. AI Biosecurity Tools (sponsored by Fourth Eon Bio)
Build the tools that biosecurity practitioners actually need: unified dashboards, rapid risk assessment systems, policy trackers, secure communication tools, and accessible resources for under-resourced institutions.
4. Benchtop Synthesizer Security (sponsored by Sentinel Bio)
Build security infrastructure for benchtop DNA synthesizers before they reach dangerous capability thresholds: phone-home screening, tamper-proof hardware, split order detection, and customer verification. No mandatory screening exists today, but US and EU legislative momentum is opening a window to change this.
Who should participate?
AI safety researchers and engineers
Biosecurity and public health professionals
Machine learning researchers interested in biological applications
Security researchers and red teamers
Policy researchers working on biogovernance
Software engineers interested in building safety infrastructure
Students and early-career researchers exploring biosecurity
No prior biosecurity experience is required. The Resources tab has a curated reading list organized by track. Teams typically form at the start of the event.
What you will do
Over three days, you will:
Form teams and choose a challenge track
Research and scope a specific problem using the provided resources
Build a project: a tool, prototype, evaluation, or research contribution
Submit a research report (PDF) documenting your approach, results, and implications
Have your work reviewed by judges from leading biosecurity and AI safety organizations
What happens next
After the hackathon, all submitted projects will be reviewed by expert judges. Top projects receive prizes and are featured on the Apart Research website. Outstanding work may be invited for further development, publication, or presentation at upcoming events.
Why join?
Apart Research has organized 55+ research sprints with 7,000+ participants across 200+ global locations. Co-organized with BlueDot Impact and Cambridge Biosecurity Hub, with track sponsorship from CBAI, Sentinel Bio, Fourth Eon Bio, and Measuring AI Progress. Our hackathons produce real research output: published papers, new research collaborations, and contributions to open-source safety tools used across the field.
Sign Ups
Entries
Overview
Resources
Guidelines
Schedule
Entries
Overview

The AIxBio Hackathon brings together researchers, engineers, biosecurity professionals, and AI safety enthusiasts to work on one of the most urgent intersections in safety: how AI is changing biological risk, and what we can build to stay ahead.
Over three days, participants will develop tools, prototypes, and research addressing real gaps in biosecurity infrastructure, from DNA synthesis screening and pandemic early warning systems to practitioner tools that don't exist yet.
Organized by
Apart Research | BlueDot Impact | Cambridge Biosecurity Hub
Track sponsors: CBAI (DNA Screening & Synthesis Controls) | Measuring AI Progress (Pandemic Early warning) | Fourth Eon Bio (AI Biosecurity Tools) | Sentinel Bio (Benchtop Synthesizer Security)

What is AIxBio?
AI is transforming biology faster than biosecurity can keep up. Open-weight biological foundation models like Evo2 (a DNA language model, 40B parameters, trained on 128,000+ genomes) and protein design tools like RFdiffusion are making it possible to design novel biological sequences with less expertise than ever before. At the same time, benchtop DNA synthesizers are approaching the capability to print virus-length sequences (expected within 2-5 years), and current screening infrastructure covers only a fraction of global synthesis capacity.
On the defensive side, pathogen-agnostic metagenomic surveillance is finally becoming practical. Wastewater monitoring can detect outbreaks weeks before hospitals see cases. AI anomaly detection could identify engineered pathogens in sequencing data. But most of these tools are siloed, under-resourced, or still in the research phase. The field needs builders.
Hackathon Tracks
1. DNA Screening & Synthesis Controls (sponsored by CBAI)
Build better tools for screening DNA synthesis orders from commercial providers, detecting dangerous sequences, and creating guardrails for AI-powered biological design tools. Current screening misses AI-designed protein variants and struggles with short sequences. For projects focused on benchtop synthesizer security, see Track 4.
2. Pandemic Early Warning (sponsored by Measuring AI Progress)
Develop AI-powered surveillance, anomaly detection, and data integration tools for catching outbreaks earlier. Wastewater monitoring, metagenomic sequencing, and open-source disease intelligence are all ripe for better tooling.
3. AI Biosecurity Tools (sponsored by Fourth Eon Bio)
Build the tools that biosecurity practitioners actually need: unified dashboards, rapid risk assessment systems, policy trackers, secure communication tools, and accessible resources for under-resourced institutions.
4. Benchtop Synthesizer Security (sponsored by Sentinel Bio)
Build security infrastructure for benchtop DNA synthesizers before they reach dangerous capability thresholds: phone-home screening, tamper-proof hardware, split order detection, and customer verification. No mandatory screening exists today, but US and EU legislative momentum is opening a window to change this.
Who should participate?
AI safety researchers and engineers
Biosecurity and public health professionals
Machine learning researchers interested in biological applications
Security researchers and red teamers
Policy researchers working on biogovernance
Software engineers interested in building safety infrastructure
Students and early-career researchers exploring biosecurity
No prior biosecurity experience is required. The Resources tab has a curated reading list organized by track. Teams typically form at the start of the event.
What you will do
Over three days, you will:
Form teams and choose a challenge track
Research and scope a specific problem using the provided resources
Build a project: a tool, prototype, evaluation, or research contribution
Submit a research report (PDF) documenting your approach, results, and implications
Have your work reviewed by judges from leading biosecurity and AI safety organizations
What happens next
After the hackathon, all submitted projects will be reviewed by expert judges. Top projects receive prizes and are featured on the Apart Research website. Outstanding work may be invited for further development, publication, or presentation at upcoming events.
Why join?
Apart Research has organized 55+ research sprints with 7,000+ participants across 200+ global locations. Co-organized with BlueDot Impact and Cambridge Biosecurity Hub, with track sponsorship from CBAI, Sentinel Bio, Fourth Eon Bio, and Measuring AI Progress. Our hackathons produce real research output: published papers, new research collaborations, and contributions to open-source safety tools used across the field.
Registered Local Sites
Register A Location
Beside the remote and virtual participation, our amazing organizers also host local hackathon locations where you can meet up in-person and connect with others in your area.
The in-person events for the Apart Sprints are run by passionate individuals just like you! We organize the schedule, speakers, and starter templates, and you can focus on engaging your local research, student, and engineering community.
We haven't announced jam sites yet
Check back later
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