BlockScience

BlockScience® is a systems engineering firm that operationalizes emerging technologies for high reliability organizations.

[mZ 🌳🔥💧 @mZargham]

.@teoliphant has been building AI/ML tech, companies and OSS ecosystems for 20+ years. His vision for modular distributed AI-enabled world aligns with mine.
This weekend I went through his whitepaper https://t.co/PK6uAzfDdC and made the example executable https://t.co/OqJeEZnN9G

[BlockScience @block_science]

Big thanks to all who backed Symproof in the Ethereum Security QF round on @Giveth. Special thanks to @thedaofund @quantstamp @wintermute_t.

Funds raised go toward Tier 1 items making the tool more usable for external Ethereum security researchers.

https://t.co/SvVgIx0LVf

[BlockScience @block_science]

Dr. Nabben is also crowdfunding open-access research on a problem every security org will face: how do you keep incentive structures (bug bounties, disclosure norms) coordinated when AI-driven adversaries automate exploit discovery?

https://t.co/YgZONcuKgG

[BlockScience @block_science]

Most security thinking stops at the protocol. Our colleague @kelsiemvn's new book picks it up from there: in distributed systems, security is irreducibly sociotechnical — norms, coalitions, and crisis coordination are critical infrastructure.

https://t.co/2NQzScJbgH

[BlockScience @block_science]

Join Dr. Nabben for a live conversation about the book tomorrow (April 29) at 5 pm EDT, hosted by @metagov_project.

Register: https://t.co/0nlxlEJ22y

[BlockScience @block_science]

From last week’s Open Systems Development Forum at @NASAJPL: Dr. Michael Zargham (@mZargham) presents on open-source software ecosystems to the model-based systems engineering community.

https://t.co/F74ZxMtery

[BlockScience @block_science]

"Making AI more accountable, responsible, and fair isn't just a technical problem—it's an institutional one."

@mZargham is joining Humane Intelligence's Advisory Group to help advance evidence-based AI governance.

https://t.co/v6y9AGrIJB

[BlockScience @block_science]

Spotted at @incose_org IW 2026: BlockScience CEO and Chief Engineer, @mZargham, with INCOSE IW 2026 keynote speaker, BlockScience advisor, and founder of the Calm Tech Institute @caseorganic.

[BlockScience @block_science]

Tomorrow at 2pm PT at JPL: @mZargham joins an outstanding lineup including @NASAJPL, @JAXA_en, and @MHI_Group at the Open Systems Development Forum on operationalizing MBSE.

Tune in (registration required): https://t.co/F74ZxMtMh6

[BlockScience @block_science]

Tomorrow—@mZargham gives a talk on open source software and systems engineering, representing @NumFOCUS at the @incose_org IW 2026 OpenMBEE session. 1:05 PM PT, in Torrance, California.

Come listen in person or online:
https://t.co/e4PlYyhvhx

https://t.co/o8jdI6bWff

[BlockScience @block_science]

"Legitimacy" is not a monolithic virtue—it's a multi-dimensional trade-off space.

We decompose it into Liberty, Equality, and Agency curves to evaluate governance designs before deployment.

https://t.co/L9I6z42r7N

[BlockScience @block_science]

How do you maintain data governance across organizational boundaries without coercive control?
We argue that data mesh architecture enables data supply chains that co-regulate to preserve autonomy and accountability.

https://t.co/dv1vHNlnK0

[BlockScience @block_science]

To re-engineer an organization, you have to understand how it works. Our method for functional decomposition maps regulatory pressures against constitutive infrastructure to close gaps between intentions and outcomes.

https://t.co/Kf4fEaCAew

[BlockScience @block_science]

Policies tell you what should happen. Protocols constrain what can happen. We wrote a book chapter on engineering institutions through Lyapunov stability—operationalizable guarantees, not just good intentions.

https://t.co/e45zNTHDg2

[BlockScience @block_science]

Modeling cybernetic systems requires state spaces beyond vector fields. This paper formalizes block diagrams using category theory to represent Generalized Dynamical Systems.

https://t.co/sURgGfhF0C

[BlockScience @block_science]

Algorithms aren't neutral truth-tellers—they're perspectives shaped by design choices, just like cameras. What is the apparatus leaving out? Whose choices shaped it?

https://t.co/L7CoT7pRk7

[BlockScience @block_science]

Proud to support @NumFOCUS & the open-source scientific computing ecosystem; crucial for data science and scientific computing projects.

NumFOCUS is a non-profit that supports open-source projects used in research, data science, and scientific computing.

https://t.co/1We91V3Srt

[BlockScience @block_science]

Revisiting The Santa Protocol 🎅 after the holidays changes how it reads.

Santa is not the claim. He is the worked example.

Once you recognize the institutional architecture, you start seeing it everywhere.

Low-stakes entry. Serious implications.

📃 https://t.co/Aks9qlc2l8

[BlockScience @block_science]

@mZargham @opscientia @kelsiemvn @metagov_project Underpinning the transparent, secure & collaborative nature of our tooling are blockchain infrastructures e.g. @ethereum @ceramic @DeSciLabs that enable a vast #plurality of organizations & individuals to act, interact & organize.

Demo 21:17 https://t.co/6K2hOy8ZxX

[BlockScience @block_science]

Prefigurative Self-Infrastructuring Knowledge Networks

@mZargham on encoding patterns to drive institutional & structural change + demo of tooling & #blockchain infrastructure enabling vast plurality for organizations & individuals.

Watch: https://t.co/ORmEhVCmpt @opscientia

[BlockScience @block_science]

@mZargham @opscientia @kelsiemvn ⚠️ With LLM infrastructure, there is an urgent need to better understand the political dimensions of the design trade-off between ease of use & degrees of freedom for people using the technology.

Work with @metagov_project:
https://t.co/bOekyliz8G