Week 1 Post-Lecture HW: Principles and Practices

Assignment: Post-Lecture 1

First, describe a biological engineering application or tool you want to develop and why. This could be inspired by an idea for your HTGAA class project and/or something for which you are already doing in your research, or something you are just curious about.
1. Proposal:
  1. A Modular Engineer Living Material (ELM) Ecosystem for Deep Space Habitation: The Multi-Trophic Myco-Foundry is a bio-industrial habitat architecture designed for Class IVc planetary mission (Mars surface operations). Unlike a singular/monolithic biological design, this system will utilize a distributed, multi-organism ecosystem to decouple structural integrity from metabolic function.
  2. Technical Description: The system architecture consists of four integrated biological layers, functioning analogous to organ systems:
    1. The Structural Shell (Protective Layer)
    2. The Vascular System (Transport Layer)
    3. The Metabolic Hub (Atmosphere Layer)
    4. The Pharmaceutical Payload (Functional Layer)
  3. Rationale:
    1. Current ISRU strategies rely on abiotic chemical processing that requires heavy & failure-prone hardware. This proposal shifts to Biological ISRU, where habitat is a regenerative asset that grows it’s own shielding, recycles waste, and manufactures critical medical supplies.
Next, describe one or more governance/policy goals related to ensuring that this application or tool contributes to an “ethical” future, like ensuring non-malfeasance (preventing harm). Break big goals down into two or more specific sub-goals. Below is one example framework (developed in the context of synthetic genomics) you can choose to use or adapt, or you can develop your own. The example was developed to consider policy goals of ensuring safety and security, alongside other goals, like promoting constructive uses, but you could propose other goals for example, those relating to equity or autonomy.
1. Planetary Protection: Ensure zero contamination of the planetary biosphere by preventing the escape and proliferation of engineered extremophiles.
2. Operational Integrity: Prevent the degradation of the pharmaceutical payload, ensuring that radiation does not induce mutations that alter drug efficacy or toxicity.
Next, describe at least three different potential governance “actions” by considering the four aspects below (Purpose, Design, Assumptions, Risks of Failure & “Success”). Try to outline a mix of actions (e.g. a new requirement/rule, incentive, or technical strategy) pursued by different “actors” (e.g. academic researchers, companies, federal regulators, law enforcement, etc). Draw upon your existing knowledge and a little additional digging, and feel free to use analogies to other domains (e.g. 3D printing, drones, financial systems, etc.).
1. Purpose: What is done now and what changes are you proposing?
2. Design: What is needed to make it “work”? (including the actor(s) involved - who must opt-in, fund, approve, or implement, etc)
3. Assumptions: What could you have wrong (incorrect assumptions, uncertainties)?
4. Risks of Failure & “Success”: How might this fail, including any unintended consequences of the “success” of your proposed actions?
  1. Action 1: Synthetic Auxotrophy
    1. Purpose: Enforce a biological “kill switch” that physically prevents organism survival outside the habitat.
    2. Design: Phosphite dependence will be required for the vascular system so that the organism can replicate DNA.
    3. Assumptions: Assume that the organism cannot evolve a pathway to utilize naturally occurring phosphate or from waste.
    4. Risks of Failure: Horizontal Gene Transfer from native or crew-associated microbes could restore phosphate metabolism.
  2. Action 2: ASTM for ELMs
    1. Purpose: Establish global quality assurance baseline for the export and use of ELMs in aerospace.
    2. Design: All aerospace ELMs must demonstrate <0.01% genomic variance over 500 generations under simulated galactic cosmic ray (GCR) exposure certifying stability.
    3. Assumptions: Earth-based accelerated aging tests accurately predict biological behavior in the deep space radiation environment.
    4. Risks: Excessive regulation creates a barrier to entry stifling innovation and forcing reliance on inferior abiotic materials.
  3. Action 3: Metagenomic Sentinel
    1. Purpose: Detect genomic drift and pathogenic mutations in real-time before crew’s health get impacted
    2. Design: Automated sequencing loop featuring a robotic liquid handling system that samples the vascular fluid daily, running it through a sequencer to verify genetic integrity of bacteria payload against a digital reference.
    3. Assumptions: Onboard computational power is sufficient for real-time assembly and analysis of metagenomics data without Earth downlink.
    4. Failure Mode: False positives could trigger an automated sterilization protocol which would destroy crucial infrastructure during mission emergency.
Next, score (from 1-3 with, 1 as the best, or n/a) each of your governance actions against your rubric of policy goals. The following is one framework but feel free to make your own:

Does the option:	Synthetic Auxotrophy	ASTM for ELMs	Metagenomic Sentinel
Enhance Biosecurity	1	2	1
• Does it physically prevent the organism from escaping or mutating into a threat?	Intrinsic physical barrier, best for compliance	Administrative barrier, rules can be bypassed	Fastest response to a breach, catches mutations early
Foster Lab Safety	1	3	1
• Does it protect the crew from the organism inside the habitat?	Prevents overgrowth into crew quarters	Documentation heavy; does not stop an active bio-hazard	Proactive threat detection
Mass Efficiency (ISRU)	1	2	3
• Does it reduce the launch weight required for safety systems?	Zero mass, code is weightless	Low mass	High mass, requires heavy equipment & reagents
Energy Autonomy	2	1	3
• Does it function without draining the habitat’s power grid?	Requires energy to synthesize the specific nutrient	Zero energy cost	High energy cost; continuous computing & sequencing
Psychological Impact	2	3	1
• Does it make the crew feel safer living inside a “monster”?	Invisible safety, crew can’t see it working	Bureaucratic, offers no peace of mind	High reassurance, green light on dashboard
Operational Resilience	1	2	3
• Does it still work if the main computer fails?	Yes, biologic	Yes	No
Commercial Viability	3	1	2
• Does it encourage private companies to adopt it?	Hard, high barrier to entry	Standardizes the product	Adds cost but also adds value

Last, drawing upon this scoring, describe which governance option, or combination of options, you would prioritize, and why. Outline any trade-offs you considered as well as assumptions and uncertainties. For this, you can choose one or more relevant audiences for your recommendation, which could range from the very local (e.g. to MIT leadership or Cambridge Mayoral Office) to the national (e.g. to President Biden or the head of a Federal Agency) to the international (e.g. to the United Nations Office of the Secretary-General, or the leadership of a multinational firm or industry consortia). These could also be one of the “actor” groups in your matrix.
1. Committee on Space Research (COSPAR)
2. I propose a ‘Defense in Depth’ governance strategy that prioritizes Synthetic Auxotrophy as mandatory ‘hard constraint’ for launch approval, with runner-up as Active Surveillance. In deep space exploration, active safety systems are prone to failure, and a biological habitat must possess intrinsic safety that functions by metabolic law rather than by software code. This option resembles a nuclear reactor’s passive control rod, if the system loses power or control, the organism defaults to a safe state (dead) so it cannot scavenge Phosphite from the Martian environment.
3. Active Surveillance prevents mutations within the habitat while auxotrophy prevents escape, and this is crucial since cosmic radiation can cause production of toxins instead of medicine, so it is a secondary ‘soft constraint.’
Trade-offs:
1. Resilience vs Fragility: Engineering a dependency on a specific nutrient introduce a supply chain risk yet we accept this since the alternative presents an unacceptable existential risk to planetary science.

Disclaimer: Artificial Intelligence was used in this assignment to assist with conceptual brainstorming, technical copywriting, and formatting of the governance rubrics. The core scientific concept and final submission were curated by the student.