Ceding Control in favor of Coordination in Cybernetic Organizing — The term ‘Autonomy’ is a complex concept that often gets muddled due to variations in meaning in different contexts. In order to unpack and clarify its definition, BlockScience founder and Chief Engineer Michael Zargham gave a talk on Disambiguating Autonomy in April 2022. Zargham’s talk draws on the book “Anarchist…

Case Studies of Data-Driven Decision Making in DAOs — This piece is a continuation on the topic of Computer-Aided Governance (CAG), a computational decision-support framework under development at BlockScience. Part 1 explored the concept of Computer-Aided Governance (CAG), while part 2 unpacked the concept into the CAG Map and Process (MAP). This article will analyze and apply the CAG…

Mitigating Risk in Algorithmic Trading for Semi-Fungible Carbon Assets — BlockScience is actively researching how to build effective algorithmic traders for semi-fungible asset markets using Automated Regression Market Makers (ARMMs). This pioneering, open-source price discovery mechanism could help transform the $851 billion carbon markets and $2 billion Voluntary Carbon Markets by accelerating carbon credit transaction clearing.

A BlockScience Collaboration with Grassroots Economics & the Danish Red Cross — This piece introduces the academic paper by Andrew Clark, Alexander Mihailov, and Michael Zargham, examining the system modeling of Grassroots Economics’ Community Inclusion Currencies (CICs). Many thanks to Will Ruddick and the team at Grassroots Economics, and Adam Bornstein and the Danish Red Cross for the This paper analyses the…

A Series of Academic Analyses on GDS — This piece introduces a new three-part academic paper and supplementary video series on Generalized Dynamical Systems by Dr. Michael Zargham and Dr. Jamsheed Shorish. Generalized Dynamical Systems (GDS) is a mathematical framework pioneered in the 1950s-60s that has been extensively researched and leveraged more recently at BlockScience for applications in…

A New Framework for Data Transformation Provenance in Complex Systems Modeling — This piece is introducing and exploring the concept of Content-Addressable Transformers (CATs) from a high-level. CATs are part of the BlockScience team’s research on data driven systems, inspired by our work in the Filecoin ecosystem but applicable far beyond. While this research exists at the design pattern level for the…

An analysis of Wildland’s “Proof of Usage” Model — This research was commissioned by the Wildland team and funded by a Golem Foundation grant. It was written in Q2 2022. Please check that information is accurate or up-to-date at the time of reading. This blog forms Part 2 of 2, analyzing the concepts of “User Defined Organization” and “Proof-of-Usage”…

This research piece was commissioned by, and conducted in conjunction with, the Wildland team and funded via a grant from Golem Foundation. It was written in Q2 2022. Please check that information is accurate or up-to-date at the time of reading. This blog forms Part 1 of 2, on analyzing…

A Governance Assessment by BlockScience — Context of this research Based on our DAO Vulnerabilities research piece, we were contacted by Lido to undertake a resilience assessment of LIDO liquid staking protocol governance by conducting a Lido DAO governance vulnerability mapping exercise. In this blog, we share our findings from a DAO Vulnerabilities Assessment of Lido, including: Our research method…