any time to Bitcoin or other
cryptocurrencies.
A token-based coin such
as Researchcoin could be used for
individuals to collectively indicate
interest and purchase the rights to read a
certain research paper that is otherwise
buried behind a paywall. Medicinal
Genomics envisions a multisig, Bitcoin-
based voting system for the public to
indicate their demand to open source
scientific papers related to pandemic
disease (which the public ironically
funds in the first place with tax dollars,
yet cannot access). 153 For example,
individuals with a mutation in the NPC1
gene have been found to be resistant to
Ebola infection.154 This kind of
information could be easily used by
empowered biocitizens to look up in
their own personalized genomic data to
see if they have higher conferred
resistance to Ebola or other diseases
such as HIV, which also has higher
resistance in individuals with certain
genotypes. 155 Although some are in favor
of individuals having access to their
own data, others feel that they may read
too much into it without appropriate
medical counsel. The Alzheimer’s
disease study mentioned previously,
however, does hint that the benefits seem
to outweigh the costs.
Related to Journalcoin,
ExperimentalResultscoin could be
another idea, implemented in the context
of science journals, to incentivize and
reward science experiment replications
(helping to solve the problem of the 80
percent irreplicability of scientific
experimental results), the publishing of
negative results and raw data (just 45
percent are willing to make this
available), and counter other biases in
scientific publishing, such as priming,
duplicate results, and carelessness. 156
Just as Bitcoin is a digital payment
mechanism for transactions between
humans but could also empower the
machine economy in machine-to-
machine (M2M) and Internet of Things
(IoT) payments,
ExperimentalResultscoin could likewise
serve as a mechanism for incentives,
coordination, and tracking science
executed by both humans and machines.
Increasingly, both robotic lab aides and
algorithmic programs are facilitating and
generating scientific discovery. Some
examples include Lipson’s computing
algorithms that have distilled physical
laws from experimental data,157
Muggleton’s microfluidic robot
scientist,158 and Waltz and Buchanan’s AI
scientific partners. 159
The 3.0 sense of applying blockchain
technology to publishing would be
having the blockchain completely fulfill
the functions of the publisher (like a
“semantic Verisign,” vouching
mechanism for qualitative content). A
DAO/DAC/AI/VM model might be able
to use data-based metrics (like the
number of reads both in general and by
affinity peers or colleagues, the number
of comments, semantic keyword
matching, and concept matching) to
determine targeted content of quality and
interest. The micropayment aspect of the
blockchain could be used to make this a
fee-based service. The idea is semantic
peer-to-peer search, integrating the
social networking layer (to identify
peers) and adding blockchain economic
and privacy functionality. Automatic
nonpeer, nonhuman content-importance
ascription models might also be a
possibility.
Another means of employing the
blockchain in academic publishing could
be using it for plagiarism detection and
avoidance, or better, for autocitation (an
Ethereum smart contract/DAO that does
a literature search and automatically
cites all related work would be a
tremendous time-saver). This could be
accomplished through off-chain indexed
paper storage repositories linking the
asset by key to the blockchain. The
blockchain could become the universal
standard for the publication of papers,
and of the underlying raw data and
metadata files, essentially creating a
universal cataloging system and library
for research papers. Blockchain
economics could make digital asset
purchase of the papers easier by
assigning every paper a Bitcoin address
(QR code) instead of requiring users to
log in to publisher websites.
The Blockchain Is Not for
Every Situation
Despite the many interesting potential
uses of blockchain technology, one of the
most important skills in the developing
industry is to see where it is and is not
appropriate to use cryptocurrency and
blockchain models. Not all processes
need an economy or a payments system,
or peer-to-peer exchange, or
decentralization, or robust public record
keeping. Further, the scale of operations
is a relevant factor, because it might not
make sense to have every tiny
microtransaction recorded on a public
blockchain; for example, blog-post tip-
jar transactions could be batched into
sidechains in which one overall daily
transaction is recorded. Sidechains are
more broadly proposed as an
infrastructural mechanism by which
multiblock chain ecosystems can
exchange and transfer assets. 160
Especially with M2M/IoT device-to-
device communication, there are many
open questions about the most effective
ways to incorporate market principles
(if at all) to coordinate resources,
incentivize certain goal-directed
behavior, and have tracking and
payments remuneration. Even before we