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BlockScience
Enabling deep insight into the interdependencies of complex systems, helping to avoid the conditions and thresholds for systemic failure.
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BlockScience retweeted
Fairmint Jul 31
We also had the team audit the continuous organization economical model to validate its robustness while identifying and addressing a few economical edge cases. We recently discussed the findings here with Angela from :
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BlockScience retweeted
cadCAD Jul 31
Don't miss our 1st community call starting in 1 hour! 🚀 Find out how to get involved in our OS community & learn some modeling tips with of , followed by an intro to cadCAD w/ of !🎉 Join on our Discord:
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BlockScience retweeted
cadCAD Jul 28
Want to learn more about cadCAD & how it's used? Our first community call will take place on July 31 at 9am PST / 12pm EST / 6pm CEST!🎉 Join us then in our Discord voice channel: Save the date by adding the TokenEngineering gCal:
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BlockScience Jul 28
We are proud to partner with the & to build new humanitarian aid tools & foster economic resilience in rural Kenya. Modeling & simulation w/ is a necessary step in engineering safe public infrastructure like .
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BlockScience Jul 22
" are a necessary protection to make systems safe when composing different mechanisms." Watch 's presentation on the Foundations of Cryptoeconomic Systems at Non-Con earlier this year:
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BlockScience Jul 14
News coverage of the effectiveness of Community Inclusion Currencies in putting food on the table in Kenyan villages. (Sarafu means currency in Swahili) Great to see blockchain projects making real world impact!
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BlockScience Jul 10
Great to see work on Conviction Voting making progress between & ! Conviction Voting was originally formulated from 's work on Social Sensor Fusion, derived from his PhD research on multi-agent coordination:
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BlockScience Jul 6
"We are on a path towards a heterarchy of many small groups with local decision making." Get the latest thoughts on "Institutional Reform in the Age of Cryptography" from & at the 2020 conference.
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BlockScience Jul 1
Learn about the power of simulation & modeling in currency design! Walk thru the Red Cross model w/ & to see how it offers decision support on key system policies.
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BlockScience retweeted
mZ🌱 Jun 22
. has its own github org (outside of ) you can also join us on our forum: we'll be continuing to build out community infrastructure for the project over the coming weeks and months
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BlockScience retweeted
mZ🌱 May 19
check out 'DAOs as a new kind of institution' - coauthored with and . Thx for feedback from and many more.
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BlockScience retweeted
mZ🌱 Apr 25
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BlockScience retweeted
mZ🌱 Apr 5
Clarifying amongst my initiatives: Engineering Design Firm Methods & Tools for MBSE, Complexity & Data Science Engineering Patterns, Standards, & ethics Open Source R&D on DAO Governance Academic Research
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BlockScience retweeted
mZ🌱 Mar 22
. Community Update, just in time for CLR round 5! -recently released predator-prey demo by -tutorial bounty completed by -video lecture at MIT -announcing new bounties -more
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BlockScience retweeted
Cryptoeconomic Systems ⛓️ Journal & Conferences Mar 8
Rounding off the session, highlights the need for a polyepistemological approach to these interdisciplinary topics in "Foundations of Cryptoeconomic Systems".
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BlockScience retweeted
Jason Potts, hard money enthusiast Mar 8
As always, super interesting high-bandwidth talk by on Cryptoeconomic systems with
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BlockScience retweeted
JGBSci🌱 Mar 9
Nice primer on state-space equations. Very useful for understanding the emerging @tokenengineering literature drawing on control theory and the state-space modeling paradigm. 's own YouTube channel is excellent, too.
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BlockScience retweeted
Ocean Protocol Dec 12
How do systems bridge different layers - social components all the way to physical aspects? Michael Zargham () presents a promising framing for data economy construction as attribution networks.
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BlockScience retweeted
TEGG 2020 Feb 18
….yey, we’ll be back: 
 🧨 TEGG 2020 is scheduled 🔔 save the date Sept 11 
❤️ see you in Berlin! 

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BlockScience Jan 24
will share his thoughts regarding – a new emerging discipline blending mechanism design and data science. And how we can use it to design, test and govern complex systems from crypto-networks to smart cities.
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