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Posts by BlockScience

Protocols and Institutions This paper is a pre-print of a book chapter that explores the relationship between protocols and institutions through the lens of control systems engineering. Cross-referencing concepts from Instituti...

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.

zenodo.org/records/1512...

2 months ago 2 0 0 0
Block Diagrams for Categorical Cybernetics Block Diagrams play a central role in the design and analysis of complex engineered systems, in large part due to their capacity to represent causal flow of mat

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

papers.ssrn.com/sol3/papers....

2 months ago 0 0 0 0
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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?

blog.block.science/an-algorithm...

2 months ago 1 0 0 0

Proud to support @numfocus.bsky.social and its work strengthening the open-source scientific computing ecosystem.

These tools power real-world systems, from fraud detection to cloud services. Institutional stewardship helps keep this infrastructure reliable & accessible.

bit.ly/4pC7KXQ

3 months ago 1 0 0 0
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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.

📃 bit.ly/49iBsw9

3 months ago 0 0 0 0
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A huge thank-you to @blockscience.bsky.social for their support of NumFOCUS and PyData.Their commitment to rigorous research and community-driven innovation strengthens every part of the ecosystem. Join in their support of open source scientific computing: Donate to NumFOCUS at hubs.la/Q03VFBdL0

4 months ago 2 1 0 0
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Flashy tools like LLMs grab attention, but the real foundation is Knowledge Organization Infrastructure (KOI).

In Why Is There Data? David Sisson & Ilan Ben-Meir explore how raw facts become valuable knowledge only through processing, context & governance.

📃Paper on SSRN dx.doi.org/10.2139/ssrn...

4 months ago 2 0 0 0
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In this article, Zargham explores Architecting Knowledge Organization Infrastructure (KOI) from a systems engineering perspective, moving across layers of abstraction and showing how communities can design, implement and govern their knowledge systems.

Read: bit.ly/4nQEYlV

4 months ago 2 0 0 0
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Memes that make us lol → but also surface deeper truths.

In governance, resilience depends on acting before crises peak. Climate, housing & health all show the cost of delay. The hard choice is early action, but it’s the only path to durable systems.

Shared by Zargham 🌱

4 months ago 1 0 0 0
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📃New publication from BSci collaborators:

“Attention in Governance” — with Kelsie Nabben, Nathan Schneider, Ronen Tamari & Michael Zargham.

We explore attention as a scarce resource in digital governance and propose heuristics to analyze how it shapes participation.

Read 👉 osf.io/preprints/me...

5 months ago 0 0 0 0
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What our team reads off the clock → survival games with LLM agents. Thanks Octopus 🐙 for surfacing.

Scarcity makes agents selfish & unsafe. Add a simple guilt/satisfaction signal & cooperation jumps 10× while harmful actions drop by half. That’s a governance lesson too.

🔗 arxiv.org/abs/2509.12190

5 months ago 0 0 0 0
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BlockScience Fellow @jeffemmett.bsky.social was featured on the @entangledfutures.bsky.social podcast to discuss how fungal networks can inspire the redesign of governance & economic systems, including:

🌱 Fractal resilience
🌱 Conviction voting
🌱 Mutual credit

🔉 entangledfutures.fm/episodes/fun...

5 months ago 2 1 0 0
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We often use institutional analysis to understand the “functional architecture” of client projects.

In this piece, BSci Fellow Jeff Emmett turns the lens inward, applying organizational cybernetics, systems thinking heuristics, and viable systems models to BlockScience itself.

📖 bit.ly/4nQEYlV

5 months ago 1 0 0 0
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🎂It’s our birthday!

BSci was founded on a simple principle: the world’s toughest challenges deserve thoughtful, interdisciplinary design.

We’re celebrating the researchers, engineers & communities who make that possible & inspire us every day.

Here’s to another year of curiosity & collaboration.💡

5 months ago 0 0 0 0
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🍂 Our Q3 Newsletter is out!

From Zurich, Paris, Berlin, Albany, and São Paulo, this edition reflects on feedback loops across people, tools, and institutions. Exploring AI Theory of the Firm, governance surfaces, adaptive infrastructures through Telescope + KOI & more.

📰 bit.ly/4qhgSTs

6 months ago 1 0 0 0
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“The cell wall marked the start of life. Bonding curves could mark the start of economic life forms.”

@jeffemmett.bsky.social — Exploring MyCofi | Commons Stack | @blockscience.bsky.social

Watch the short clip + full episode: entangledfutures.fm

6 months ago 6 3 0 0
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Engineering large-scale infrastructure for social & economic systems isn’t about achieving perfection; it’s about creating systems that can adapt.

In this video series, Zargham explores how feedback, coordination & governance intertwine in complex adaptive systems.

🎥 Watch here: bit.ly/4mVclmL

6 months ago 4 0 0 0
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Understanding Large-Language Models | LLM System Foundations Explores the foundations of LLM systems, fundamental building blocks, integration of RAG models & the place of LLMs in the future technological landscape.

Understanding Large Language Models: a plain-language map of LLM basics and where they fit in real systems

- Tokens
- Vontext windows
- Rmbeddings + vector stores
- RAG
- Reasoning methods.

For builders and leaders alike.

Read: bit.ly/3RGFHbi

#LLMs #SystemsEngineering #RAG

7 months ago 0 0 0 0
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Systems engineering isn’t just tools; it’s how people, processes, & tech work together reliably. Here’s how we frame AI agents as accountable, engineered systems acting on behalf of principals (not free agents).

A Systems Engineering Perspective on AI Agents: bit.ly/4m3VQEq

#SystemsEngineering

7 months ago 0 0 0 0

BlockScience® is a systems engineering firm that operationalizes emerging technologies for high-reliability organizations. We cut through hype with rigorous R&D, delivering fit-for-purpose solutions that keep people, processes and tools working together. #BSCI

7 months ago 3 0 0 0