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Blockchainified Science: Meetup #1 PD Dr. Sönke Bartling: Blockchain for Lifesciences: Introduction” https://www.meetup.com/de-DE/ScienceB0/ Please reuse and provide reference.

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Page 1: Blockchainified Science - Meetup#1

Blockchainified Science: Meetup #1

PD Dr. Sönke Bartling: “Blockchain for Lifesciences: Introduction”

https://www.meetup.com/de-DE/ScienceB0/

Please reuse and provide reference.

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BlockchainHub

blockchainhub.net

blockchainhub

@blockchainhub

Shermin Voshmgir

@sherminvo

@sherminvoshmgir

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PD Dr. Sönke Bartling

• Scientist in basic medical imaging sciences (dkfz)

• Freelance Radiologist

• Open Science advocate

• Experience in several research cultures (applied

research Germany/USA, basic research)

• Blockchain for science and knowledge creation –

living doc – goo.gl/P9rTQ

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Blockchain for (Life-

)sciences:Introduction

BlockchainHub ■ PD Dr. Sönke Bartling ■ Nov 29, 2016 ■ HIIG

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What is blockchain?

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The etymologic answer:

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The historic answer:

Bitcoin: A Peer -to-Peer Electronic Cash System

Satoshi Nakamoto

[email protected]

www.bitcoin.org

Abstract. A purely peer-to-peer version of electronic cash would allow online

payments to be sent directly from one party to another without going through a

financial institution. Digital signatures provide part of the solution, but the main

benefits are lost if a trusted third party is still required to prevent double-spending.

We propose a solution to the double-spending problem using a peer-to-peer network.

The network timestamps transactions by hashing them into an ongoing chain of

hash-based proof-of-work, forming a record that cannot be changed without redoing

the proof-of-work. The longest chain not only serves as proof of the sequence of

events witnessed, but proof that it came from the largest pool of CPU power. As

long as a majority of CPU power is controlled by nodes that are not cooperating to

attack the network, they'll generate the longest chain and outpace attackers. The

network itself requires minimal structure. Messages are broadcast on a best effort

basis, and nodes can leave and rejoin the network at will, accepting the longest

proof-of-work chain as proof of what happened while they were gone.

1. I ntroduction

Commerce on the Internet has come to rely almost exclusively on financial institutions serving as

trusted third parties to process electronic payments. While the system works well enough for

most transactions, it still suffers from the inherent weaknesses of the trust based model.

Completely non-reversible transactions are not really possible, since financial institutions cannot

avoid mediating disputes. The cost of mediation increases transaction costs, limiting the

minimum practical transaction size and cutting off the possibility for small casual transactions,

and there is a broader cost in the loss of ability to make non-reversible payments for non-

reversible services. With the possibility of reversal, the need for trust spreads. Merchants must

be wary of their customers, hassling them for more information than they would otherwise need.

A certain percentage of fraud is accepted as unavoidable. These costs and payment uncertainties

can be avoided in person by using physical currency, but no mechanism exists to make payments

over a communications channel without a trusted party.

What is needed is an electronic payment system based on cryptographic proof instead of trust,

allowing any two willing parties to transact directly with each other without the need for a trusted

third party. Transactions that are computationally impractical to reverse would protect sellers

from fraud, and routine escrow mechanisms could easily be implemented to protect buyers. In

this paper, we propose a solution to the double-spending problem using a peer-to-peer distributed

timestamp server to generate computational proof of the chronological order of transactions. The

system is secure as long as honest nodes collectively control more CPU power than any

cooperating group of attacker nodes.

1

A working combination of:

• Public key cryptography and hashes

• Consens mechanisms

• Proof-of-Work

• A blockchain

• P2P network

• Economic incentives (intrinsic value – Bitcoin) to

maintain the correct status

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The abstract answer I:

To organize digital things so

that they are:

• Decentralized

• Distributed

• Transparent / provable

• Immutable

• Time-stamped

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The abstract answer II:

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The hype answer

Blockchain revolution will replace lots of middle man businesses. Old trusted third

parties will be replaced by new (unaware & impotent) trusted third parties...

Massive implications for supply chain management, banking, IoT, ...

Even nation states are being questioned ...

“Cryptography took out the middle man in communications – now it takes out the

middle man in everything else”

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The database answer

A modern database system

Intrinsic backup, distributed, fail-proof

Modern cryptographically secured access rights, signatures

Immutability

Open / Public (at will)

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The “No” answer

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The “Yes” answer

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Which blockchain for

science?

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What are the problems in current

Knowledge Creation?

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What are the problems in knowledge creation?

Reproducibility crisis1

Only few parts of the scientific process are open to scientific self-correction

Legacy (infra-)structures

Large overhead structures / workload

Thinking out of the box is not incentivized

1Blockchain for science and knowledge creation – living doc – goo.gl/P9rTQ

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Research in blockchain

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Experiment

Real-world/blockchain interface problem

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Data acquisition

Internet of research things (e.g. MRT scanner, western blot, microscope, ...)

Blockchain

databaseIoRT

Devices

• Time-stamped

• Serial number

• Trusted devices

• More and more research

devices have interfaces

• Cryptographic signatures

• Cryptographically assured

subject privacy

• Cryptographically assured

researcher blinding

Questionnaires

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Data processing

Traceable and provable data processing, e.g. through smart contracts

Open (at will)

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Analysis

• Blockchain pre-registered study design1

• Prevent publication bias

• Prevents ex-post-facto hypothesizing

• Great for approval studies

“Smart evidence”1 Irving G, Holden J. How blockchain-timestamped protocols could improve the trustworthiness of medical

science. F1000Res. 2016;5: 222. doi:10.12688/f1000research.8114.1

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Publication

Publication on blockchain database

Cryptographically assured author attribution

Disintermediation of publishing platform – p2p publishing > more in the next meetups

Interesting for dynamic publications, low-threshold publications

Anonymous publication

Much larger parts of the scientific process open to scientific self-correction

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Anonymous publications?

Currently no incentive > no name, no fame, no money

Imagine: Publishing on blockchain with a cryptographic code

Certificates proof “good standing” – “A German Prof. at an university with more

than 20 peer-reviewed paper”

And still get credits, money for it

Release real name if wanted

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Somebody did it!

ScientistFive. Agora: A proposal to overcome the

limitations of the current knowledge creation process

[Internet]. Zenodo; 2015. doi:10.5281/zenodo.14969

«under a ‘nom de plume’ in order to

minimize the risk of adverse effects

(e.g., unfavourable editorial decisions,

or stern letters to employers)»

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Isn´t «really good science not always a break with orthodoxy –

and how could the orthodox than fairly assess it?» (Michael

Polanyi)

«Science advances one funeral at a time» (Max Planck)

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Many more applications ...

... crowdfunding, rating research, assessing impact, etc.

... new ways of research money distribution,

... tokens for ideas / patents

...

Discussion in the next Blockchainified Science meetups.

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Next steps?

Communicate potential

Discuss problems

Legal implications

Make it happen!

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Thank youPD Dr. Sönke Bartling, @soenkeba

[email protected]

Blockchain for Science:

@science_b0

Blockchain for science and

knowledge creation – living doc –

goo.gl/P9rTQ

(incl. references, implementation

examples, etc.)