BlockScience

Ensuring liquidity is essential for the success of modern financial systems. To address this, innovative mechanisms like Undergirding Bonding Curves have been developed. These mechanisms adapt to market conditions, continuously build liquidity, reduce downside risk, and ensure a stable price floor, making financial instruments more attractive for long-term investment. This approach builds upon foundational research, including: - From Curved Bonding to Configuration Spaces by Michael Zargham, Jamsheed Shorish, and Krzysztof [Kris] Paruch, which generalizes bonding curves to formalize the relationship between enforced mechanisms and their associated configuration spaces. - Alpha Bonds: Risk-adjusted Bonding Curves for Financing Impact, a collaboration introducing dynamic bonding curves that integrate real-world risk signals into decentralized finance. - Exploring Bonding Curves: Differentiating Primary and Secondary Automated Market Makers, which compares applications of bonding curves in financial ecosystems, highlighting their role in dynamic supply and exchange mechanisms. These developments represent significant strides toward more sustainable and self-sovereign economic systems. #ComplexSystems #MarketDesign #SystemsThinking #EconomicResilience #Innovation

?? Regen Network is thrilled to be an official sponsor of?ETHDenver 2025?as their carbon offsetting partner. Our team will be on-site with a booth from?February 27 to March 2, ready to engage with attendees and support carbon offsetting for the event’s footprint. Be sure to visit us at?Booth #206?to explore web3 ecological regeneration and participate in fun activities where you can win prizes and make new friends. Stay tuned for an event on the night of February 28 at the MetaGov house in Denver hosted by Regen Network and?BlockScience. ???If you are coming and would like to join our?ETHDenver coordination chat,?please DM us. #ETHDenver2025 Gregory Landua David Fortson Sam Bennetts Austin Wade Smith Will Szal

?? The #OpenTeams community recently hosted Michael Zargham for an insightful discussion on knowledge systems. Missed it? BlockScience's new blog post captures all the key insights: https://lnkd.in/dhrzCqtt #KnowledgeManagement #KOI #OpenSource

Excited to announce Alien's collaboration with Stanford CodeX Blockchain Group on a groundbreaking initiative to develop blockchain-based IP management standards for generative AI! We're joining forces with leading academics, technologists, and policy makers to create transparent and automated IP licensing solutions through NFTs with embedded legal licenses. This initiative aims to establish new frameworks that protect creators' rights while fostering innovation in the AI ecosystem. As blockchain technology specialists, we're particularly thrilled to contribute our expertise in token-bound licenses to help build a more equitable and efficient system for IP management in the age of AI. Proud to work alongside esteemed partners including CodeX, The Stanford Center for Legal Informatics, Metagov, RadicalxChange Foundation, BlockScience, Spawning, and many other forward-thinking organizations committed to advancing the frontier of computational law. Learn more about this collaborative effort and its vision for the future of AI rights management in the latest Stanford CodeX blog post: https://lnkd.in/eAvPtac3 #GenerativeAI #Blockchain #IntellectualProperty #Innovation #LegalTech #Web3 #NFTs #AIGovernance

???'You can't build what you can't define.' Michael Zargham from BlockScience explains why bottom-up ontology development is crucial for system design. Watch how this shapes knowledge infrastructure: https://lnkd.in/d2pH7ffV #OSACommunity #KOI

Engineering for Legitimacy: Navigating Governance Complexity Governance isn’t just about rules—it’s about trust, perception, and the ability to sustain legitimacy in the eyes of those governed. At BlockScience, we approach governance design as an engineering challenge, systematically defining requirements and evaluating institutional complexity to ensure governance structures are both effective and perceived as legitimate. In participatory governance systems, legitimacy is not just an abstract ideal—it’s a necessary condition for stability. But how do we measure or cultivate it? Rather than ask, "What is legitimacy?"—a question without a universal answer—we focus on "How is legitimacy cultivated?" and "What trade-offs need to be made to sustain it?" Harvard Professor Arthur Applbaum’s work provides a compelling framework, identifying three dimensions essential to legitimacy: ?? Liberty – Balancing constraints and affordances to protect individual freedoms ?? Equality – Weighing absolute versus relative equality in governance representation ?? Agency – Finding the right mix of process- and outcome-oriented legitimacy Each of these dimensions involves inherent trade-offs, which we model through Liberty, Equality, and Agency Curves—tools that help structure governance design decisions. These trade-offs define how institutions function, adapt, and remain resilient amid diverse stakeholder interests. Legitimacy is not a static state—it’s a continuous process of negotiation, adaptation, and engineering. At BlockScience, we integrate systems thinking, complexity science, and institutional design principles to develop governance models that align with stakeholder needs while maintaining long-term viability. How do you think about legitimacy in governance? What strategies have you found effective in cultivating trust and sustainability within institutional frameworks? ?? Read the full essay here: https://bit.ly/4kj55Ri #Governance #InstitutionalDesign #ComplexityScience #SystemsThinking #Legitimacy #EngineeringForLegitimacy #BlockScience

Modeling Complex Systems: Bridging MAIDs, GDS, and cadCAD: Traditional game representations often fall short in capturing the intricacies of real-world decision-making processes. Enter Multi-Agent Influence Diagrams (MAIDs)—a graphical framework designed to represent multi-stage games involving multiple agents, state variables, decision rules, chance processes, and utilities. Introduced by Koller & Milch (2003), MAIDs decompose large games into smaller, strategically relevant subgames, reducing computational complexity when finding Nash equilibria. In parallel, Generalized Dynamical Systems (GDS) and Complex Adaptive Dynamics Computer-Aided Design (cadCAD) offer powerful tools for modeling dynamic, multi-agent systems. GDS provides a mathematical framework grounded in control theory, while cadCAD enables simulation and validation of complex systems using open-source Python tools. This four-part workshop series, led by Octopus from BlockScience, explores how these frameworks intersect to improve system modeling. Each session delves into the theory and practical application of MAIDs, GDS, and cadCAD, offering insights into modeling dynamic games and decision-making processes: 1. Introduction & Overview – Laying the groundwork for understanding these interconnected tools. 2. Explorations & Connections – Diving into the mathematical structures and coding techniques that link MAIDs, GDS, and cadCAD. 3. Agents, Strategies, & Equilibria – Focusing on optimization, agent strategies, and equilibrium computation. 4. The Modeling Process & Future Directions – Exploring how MAIDs can inform cadCAD models and future research directions. Whether you're a researcher, engineer, or data scientist interested in dynamic systems and decision modeling, this series offers a deep dive into cutting-edge approaches for understanding complex systems. ?? Learn more and watch the four interactive workshops here: https://bit.ly/40HS6Qm

Explore BlockScience's Knowledge Organization Infrastructure In this video, Orion Reed and Luke Miller present our latest advancements in tools for reasoning about knowledge systems. Key topics include: ? ?? Reference Identifiers (RIDs): Managing digital objects and temporal identity across systems ? ?? Design principles: Supporting diverse perspectives without enforcing a single source of truth ? ?? Scalable infrastructure: From user-friendly interfaces to a graph database backend Our goal is to enhance the way knowledge systems are represented, connected, and evolved—paving the way for more efficient collaboration, data access, and interoperability. ??? Watch the full presentation: https://lnkd.in/gA6JzkD4 #DataScience #ComplexSystems #InformationInfrastructure #SystemsEngineering #KnowledgeManagement

We often adapt and apply institutional analysis to understand better the ‘functional architecture’ of client projects, which enables us to provide appropriate systems engineering solutions for the diverse environments our clients create and exist within. In this article, we turn the microscope around. Researcher Jeff Emmett explores institutional analysis via organizational cybernetics, systems thinking heuristics, and viable systems models as they inform and align with BlockScience's functional architecture. These tools and techniques help to improve feedback loops and increase clarity about interdependent decision contexts, enabling mutual accountability and the evolution of organizations and their collective steering processes. https://lnkd.in/gRPqzUFt #cybernetics #systemsthinking #institutionalanalysis

We were thrilled to join the OpenTeams community event! Discover insights on designing, implementing, and governing knowledge systems through a systems engineering lens, blending theory with practical examples.