Research organisation working with protocol networks & decentralised resources
TokenSpace is a project developing novel conceptual frameworks intended to be used as visual comparative classification systems for subjective characterisation of the properties of cryptoassets. This work is based on taxonomies developed in other fields over the past several centuries. Intended users of TokenSpace include regulators, lawmakers, researchers, asset issuers, token engineers and exchange compliance personnel.
Wassim will be delivering a presentation on TokenSpace approaches to cryptoasset classification and extending the technique for DAOs in workshops at the upcoming Malta Spring AI & Blockchain Summit, 23-24 May 2019.
Wassim will be taking workshops and talks based on three Parallel Industries projects to Crypto Valley VC Labs in Zug, Switzerland in mid-May 2019. Forkonomy, DAOs and Don’ts and TokenSpace roadtrip upcoming, some sessions will be open to public attendance.
This is the second in a series of pieces focussing on TokenSpace, a novel conceptual classification framework for cryptographic assets. This Q&A provides some additional background. If you need more answers than these two pieces provide, get in touch to be a lucky proof-reader of the manuscript.
TokenSpace may be considered by analogy with our own spatio-temporal conception of reality, consisting of a three-dimensional space delineated (for convenience and visual clarity) by orthogonal axes Sbar, Mbar and Cbar. Assets may possess a score or range on each axis between 0 and 1 inclusive giving rise to an object inhabiting a region of TokenSpace described by the (x, y, z ) co-ordinates (C, M, S). Time-dependence of object properties
may also be incorporated to reflect the dynamic nature of
cryptocurrency protocol networks and their native assets, tokens issued
atop them and network fragmentations such as ledger forks.
Sbar, Mbar and Cbar correspond to intuitively reasoned assignments of subjective classificatory meta-characteristics Securityness, Moneyness and Commodityness which together form the basis of TokenSpace classification methods currently in development. Each asset’s location in TokenSpace is intended to be derived from a weighted scoring system based upon taxonomy, typology, intuitive, elicited and/or quantitative methods depending on the choices and assertions of the user — which may or may not be identical to those proposed in this work.
Definitions of the proposed meta-characteristics: Sbar — Securityness. The extent to which an item or instrument qualifies as or exhibits characteristics of a securitised asset. For the purposes of clarity this meta-characteristic does not refer to how secure (robust/resistant) a particular network or asset is from adversarial or malicious actions. Mbar — Moneyness. The extent to which an item or instrument qualifies as or exhibits characteristics of a monetary asset. Cbar — Commodityness. The extent to which an item or instrument qualifies as or exhibits characteristics of a commoditised asset.
Example scores for a range of assets are outlined in the tables below with visual depiction in Figure 2. Ideal types are postulated canonical examples of particular asset types and are discussed in Section 2 of the manuscript. It is the aim of this and future research to provide suggestions for classification approaches and some examples on how TokenSpace may be utilised to comparatively characterise assets from the perspective of various ecosystem stakeholders. Time-dependence may also be significant in certain instances and can be incorporated into this framework by evaluating an asset’s location in TokenSpace at different points in time and charting asset trajectories.
TokenSpace is expected to be useful to regulators, investors, researchers, token engineers and exchange operators who may construct their own scoring systems based on these concepts. Careful review of territory-specific regulatory guidance and judicious consideration of boundary functions for example delineating “safe”, “marginal ” or “dangerous” likely compliance of assets with respect to particular regulatory regimes are recommended and an example is presented in Figure 3. Parallel Industries is developing hybrid multi-level hybrid categorical/numerical taxonomies for each meta-characteristic alongside time-dependent and probability distribution functions for anisotropic score modelling and is available to develop bespoke TokenSpaces for clients on consulting and contract research bases.
In search of fresh perspectives on the characteristics of cryptographic assets. This Q&A with Matt ฿ originally appeared in 21cryptos.com
in December 2018. A comprehensive manuscript describing TokenSpace will
be released soon, in the meantime more TokenSpace information over at pllel.com and on Twitter.
Q: Can you give a bit of background on yourself? What got you interested in cryptocurrency?
it’s been a winding road though so let’s not get too lost in details! I
grew up in various towns and cities in the UK mostly reading maths and
sci-fi books, stargazing, misusing home chemistry crystal growing kits,
making music and playing way too many computer games. Spent a decade at
universities studying, researching and managing scientific research in
chemistry, physics and astronomy where I really got exposed to the idea
of organising knowledge to further our understanding. My chemistry
mentor (now YouTube-famous)
Professor Sir Martyn Poliakoff is very likely the world’s leading
connoisseur of the periodic table of the elements so I’ve had
classification systems such as taxonomies on the brain for a while now.
Micro-taxonomy! Periodic table of the elements recorded on a strand of a certain professor's distinctive hair.
After that I spent several years working with experimental music and arts, running a record label, organising educational activities, managing interesting projects and curating a festival.
Whilst on a music tour around the US West Coast in 2012 we went to a
friend-of-a-friend’s place in Silicon Valley, he opened his closet and
said “check this out, I’m doing this thing called mining Bitcoin”. It
took a while to be convinced, the idea sounded great but everything I
could find online looked quite sketchy — Mt. Gox, Bitcoinica, BitInstant
and all that — and it wasn’t until 2014/5 during what may have been
Bitcoin’s darkest days that I started to get really interested. The idea
of natively digital money that isn’t controlled by anyone has obvious
appeal, but surviving the Gox incident showed me that the technology had
some serious resilience and could be a long-lived proposition. Since
then it’s gradually taken over my life as I’ve worked my way through
various activities as a hobbyist — watching the markets, running nodes
and following on-chain activity, messing around with coloured coins and
smart contracts, mining and now research of various flavours through an
independent research organisation Parallel Industries.
Q: ELI5 TokenSpace.
is an attempt to make a relatively simple and easy to use comparison
system out of the sprawling and confusing mess of cryptocurrencies,
tokens and suchlike that we find ourselves with today. Think of it as a
3D “space” to place different assets inside, with each of the axes
representing a characteristic that we can use to visually compare and
contrast different assets. The position of an asset along each axis is
determined by a scoring system between 0 and 1 for that characteristic,
so that a score of zero means the asset doesn’t have those properties at
all, and a score of one means it’s a textbook case. Where the score
comes from is up to the user, it can be from an intuitive ‘gut feel’
perspective, a weighted taxonomy of different properties, a consensus
view from a panel of advisors and so on. It all depends on the intended
primary application so far has been to look at the ongoing uncertainty
as to the legal and regulatory status of cryptoassets and how similar or
different they are to traditional asset types such as monies,
securities or commodities. Obviously there is a lot of variation from
asset to asset and it is becoming increasingly clear that government
bodies are looking at these things closely.
important to understand that the difference between concepts like
TokenSpace and the periodic table of chemical elements is that we are
still very much in a subjective realm with cryptoassets, and therefore
any particular score should be taken with a pinch of salt. People are
not going to have the same opinions on a lot of these things — if you
follow the cryptocurrency and blockchain space then you will know that
humans are VERY biased creatures! A future avenue for this work is to
explore different perspectives to see where they come together and where
they do not. You could say we are still in the occultist and alchemical
phase of cryptocurrency…
Q: Tell us about the metrics you’re using to place the assets in this 3D space.
axes I’ve chosen are for the properties Securityness, Moneyness and
Commodityness — in other words how much a coin or token embodies or
exhibits the characteristics of a securitised asset, a money or a
commodity. Having encountered the fruitless debate of “I think token X
is a security but you think it is not” innumerable times, and given the
fact that these tokens and networks are hybrids of payment mechanisms,
rights to on-chain property or “cashflows” like masternodes, value
stores and consumable resources it seems reasonable to engender a
greater ability to differentiate between more subtle differences in
thing that’s nice about working with a conceptual framework like this
is that it could easily be adapted for another purpose — for example
Parallel Industries has begun a collaboration with DAO specialists who
want to apply a similar approach to characterising the organisational
structures that exist around decentralised networks and providing the
right dimensions are found, there’s no reason why you can’t also build a
set of taxonomies or scoring systems for that purpose. It does require
careful thought and design choices to ensure you end up with a useful
tool that can be meaningfully used.
Q: How would you distinguish between, for instance, Bitcoin, Litecoin, Tether and Polymath with this framework?
question. I think it’s reasonable to say that as assets, bitcoin and
litecoin are often thought of as having “commodity-like”
characteristics. People often refer to the digital gold and silver memes
so they would place reasonably well on that, though bitcoin has much
more liquidity and market depth so it would be easy to make a case for
it being the premier digital commodity. Neither have much in common with
securities though you could make a case that Litecoin’s founder and
Foundation are somewhat relied upon for expectation of profit. As much
as it’d be nice to say otherwise, bitcoin and litecoin still aren’t
great as monies compared to fiat currency so they do still have some
ground to cover there.
functions primarily as a monetary substitute although it’s hard to be
confident about it’s supply or ability to store value in the long term,
though by virtue of its stability against fiat currency relative to
traditional cryptocurrencies it does fulfil that purpose reasonably well
in today’s high friction on and off ramps with exchanges for example.
It doesn’t look much like a commodity or a security to me.
is not one I’m very familiar with, being a security token platform they
are at least being upfront with that. As an ERC20 token on Ethereum
with a central administrative team it does seem to have a lot of the
hallmarks of a security and though there does appear to be some
“utility” being used to issue securities tokens on their platform it
could be argued that it has more commodityness than the typical Ethereum
ICO vintage of 2017 or something quite useless such as XRP but nowhere
near as much as bitcoin or litecoin.
You’ve taken on the seemingly insurmountable task of attempting to
classify cryptoassets. What are regulators doing wrong? What sort of
organisations would benefit from this?
a tall order indeed, and perhaps not surprising that it’s taken a while
to get to this stage. The hope is that tools like TokenSpace can help
coin and token issuers, lawyers, regulators and exchange operators get a
better grip on the characteristics of different assets and avoid making
misinformed decisions such as blanket bans, listing or adopting assets
which might cause them compliance headaches or issuing poorly designed
tokens which might land them in hot water later.
met a few regulators, token issuers and exchange compliance officers
and it seems that a lot of the pitfalls seen so far (and many more to
come) are from a lack of understanding of how these assets and the
underlying networks function and evolve over time. It’s virtually
impossible to have a complete grasp on these things — even Satoshi
didn’t have every angle covered! The biggest mistake I’ve seen being
made so far by officials is the rush to make sweeping pronouncements
without being able to back them up with justifications that make the
situation even less clear.
example are comments made by US Securities and Exchange Commission
officials that the ETH crowdsale was a securities offering but the
Ethereum network has since become “sufficiently decentralised” and
therefore is no longer a security. Taking that at face value, it
suggests that at one point, ETH has passed through a “legal / not legal”
boundary, but where and how? What made the difference and how was that
decision arrived at? Node distribution? Concentration of tokens amongst
insiders? Decentralisation of leadership? It’s not easy to resolve that
with existing securities laws guidelines like the Howey test. What about
network forks and issues such as The DAO exploit? These sorts of things
are going to keep happening.
Q: What could regulators be doing better?
clearer statements, do your homework to understand the technology at
play and be more upfront about decision-making processes! What are the
metrics that regulators deem important? Why? Don’t build rigid legal
frameworks that can’t cope with the breakneck pace of cryptocurrency
developments. There will always be regulatory arbitrage with borderless
technologies, just look at Malta and Puerto Rico. Which small nation
will be next to reposition itself to attract jurisdiction-hoppers like
is also the perennial issue of legions of “Blockchain Experts” who
usually land influential advisory roles but seem to know very little
about the ins and outs of applied cryptographic networks and assets
associated with them. Having spent a very frustrating year in a business
school environment having to deal with fakers and imbeciles claiming
said proficiencies recently, I can confirm that this is a very real
Q: What else is Parallel Industries working on? What are your future plans?
Parallel Industries is very much in the bootstrap phase, limping along
with very little income (thanks bear market) so it’s a major priority to
bring in resources through sponsorship,
consulting and contract research to operate sustainably so that we can
expand our research activities and yours truly isn’t spread quite so
thinly! The TokenSpace paper is finally approaching readiness and our Forkonomy
project undertaking comparative analysis of network forks (such as
BTC/BCH, ETC/ETH, BTCP/ZCL) has already had a number of outputs
including a talk at the recent ETC Summit in Korea and a well-received paper. There’s also a project in progress named DAOs and Don’ts
looking at power imbalances in cryptocurrency networks which has been
on the sidelines a little too long. Keep an eye out for an article
series on political and humanitarian hacks and use cases for
cryptocurrencies in In The Mesh magazine under the title Reaching Everyone.
Wassim will be delivering a new talk entitled “The Secret Lives of Cryptocurrencies” at Genesis Block Hong Kong on Thursday 20th December. Do register your attendance if you’re coming at the link below.
1/ Okay, so this is all about organisation of information. Humans are pattern-craving creatures, tending to classify and order surroundings. Linnaeus developed empirical & hierarchical binomial taxonomic classification in his zoological practice & Haeckel used similar techniques. pic.twitter.com/NjhyD29kpN