Blockchain in Health Research 2019 was the 2nd annual summit hosted at Georgetown University on 27 Apr 2019 by Sean Manion, Science Distributed and Gilles Hilary, Georgetown University.
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Blockchain Basics and Future Uses - Long
1. BLOCKCHAIN BASICS
AND FUTURE USES
LAUREN LONG
SCIENCE DISTRIBUTED
BLOCKCHAIN IN HEALTH RESEARCH 2019: INTEGRATED FUTURE
GEORGETOWN UNIVERSITY
2. Georgetown Apr2019SCIENCE DISTRIBUTED - HTTPS://SCIENCEDISTRIBUTED.COM/ 2
BLOCKCHAIN BASICS
• Distributed Ledger Technology
• Time-stamped, immutable record
• Blockchain is a framework, Bitcoin is an
application
• Peer-to-peer network for sharing and
validating
• Gossip protocol and consensus algorithm
• Each chunk of data (a block) is bound to
the next by cryptographic principles
(chain)
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BITCOIN BASICS
• SHA-256 to create the hashes
• A hash-pointer represents the data and address of the
previous block
• Proof of work aka ‘trial and error’
• Linear hashes restrict the amount of information and
speed of transactions
• Defined block size
• Transaction fees defined by the user
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BEYOND BITCOIN
• Hyperledger: LINUX’s answer to the growing field
• Ethereum: “Bitcoin 2.0”
• Hashgraph: “gossip about gossip” consensus protocol
• Neo: elect “super nodes” to be ‘leaders’
• Proof of _______: various consensus mechanisms
• Dagchain: improved scalability, no mining required
• MimbleWimble: smaller data footprint and increased
security with smaller keys
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COMMON APPLICATIONS
• Supply chain tracking and auditing
• Data management and file storage
• Proof of ownership/protection of intellectual property
• Cryptocurrency and fundraising (ICOs)
• eBay type transfers: OpenBazaar
• Internet of Things:
• Medical devices and Electronic Health Records
• Smart homes
• Instilling excitement in people!
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THINKING OUTSIDE THE BLOCK
• Real estate and land title registration
• Estonian Stock Market and Nasdaq
• Prediction markets
• Humanitarian/Foreign aid delivery
• Improvements on Anti-Money Laundering/Know Your Customer
• Personal Data Marketplace: Enigma by MIT and Insilico Medicine, Inc.
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BLOCKCHAIN AND FAKE BRAINS
• AI requires large data sets to “learn” from
• Blockchain can provide security and data management
• People trade their data even if they don’t know it’s secure
• More data = more learning
• More learning = better consensus algorithms? Security features? Smart
contracts? Virtual agents?
• AI can help “write” these. At minimum, run it through far more powerful simulations
• Computational intelligence and cryptography to create more robust ciphers security defences
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CHAINS AND BRAINS
• Neural networks
• What else uses consensys
algorithms? Hebbian learning!
• http://www.oncotarget.com/index.p
hp?journal=oncotarget&page=articl
e&op=view&path%5B%5D=22345
&path%5B%5D=70701 biomed res
and healthcare
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…BUT IT ISN’T PRELOADED WITH ETHICAL RULES
• Machine to brain interfaces? Hmm
• Not just is a blockchain necessary?
• There are plenty of ethical dilemmas about the actual research… don’t let
the use of/which blockchain to be another!!
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BLOCKCHAIN ETHICAL DESIGN FRAMEWORK
• Created by Cara Lapointe and Lara Fishbane from Georgetown University
• A tool for creating an intentional design incorporating key ethical questions
while predicting and preventing unintended consequences
• 3 main elements –
• Is it necessary? What does it do?
• Critically question how decisions in the key consideration areas affect the outcome AND
participants?
• Is it still doing what it should be doing?
• Six root issues
• Governance, identity, access, verification and authentication, ownership of data, and
security
https://beeckcenter.georgetown.edu/blockchain-ethical-design-framework-social-impact/