TokenGazer一问到底｜第十一期：研究员 vs SciDe

TokenGazer一问到底｜第十一期：研究员 vs SciDex

前言

TokenGazer《一问到底》是一档辨析区块链领域一级市场项目优劣的优质栏目。每一期将针对区块链领域早期的一级市场项目，邀请项目负责人做客现场，和社群内百余名研究员深度问答、科学辨析。旨在通过项目方与研究员高质量的对弈问答，打造专业级别的项目评析平台，厘清项目价值，探寻早期优质项目。同时，让社群用户真正参与价值评析，传递评析方法，在“问与答”中获取价值信息。

本期项目：SciDex

活动时间：9月27日 20:00

SciDex解锁企业智能合约。SciDex协议采用的主要技术基于可理解和读取纸质合约的系统。因此可以在SciDex协议基础上搭建应用程序，以改进平台、简化交易流程。

本次一问到底对弈实际为英文版，TokenGazer为大家准备了中英文两个版本，想看英文原版，请拉到下方：

01.TokenGazer 研究员HE：大规模智能合约应用的前提条件（行业接受度、容量、安全性等）是否已经成熟？

SciDex Ofer Simon：现在这个时间点是正确的，因为我们需要建立基础设施，以便在规模真正达到前做好准备，我们已经在和对智能合约感兴趣的公司展开合作了。

安全性方面：我们的智能合约代码比较直白，没有太多的集成点可以被利用攻击。此外，部署的每个智能合约都将存储其ID和哈希值，以验证它们在生成之后有没有被篡改，这样构建的自动部署功能对用户来说节省成本并且更安全；

扩容方面：首先，我们将在以太坊网络上运行，目前还没有可以由我们解决的关于可扩展性问题；

应用方面：有很多场景，有些我们现在还不能谈，包括保险、货币贷款、数据交换等等。

02.TokenGazer 研究员HE：SciDex采用预言机作为第三方来验证交易，预言机连接区块链与现实世界，如果预言机锚定的现实世界事件触发条件被操纵，会有什么影响？

SciDex Ofer Simon：我们正在搭建第三方预言机。此外，预言机将只使用官方API接口，目前看来他们被攻击的可能性很低。

不过我们仍在研究其他方法来check它们是否能构成并建立一个API共识算法。

03.TokenGazer 研究员HE：交易发生争议时，如何保证仲裁者的可靠性？

SciDex Ofer Simon：在初期阶段我们将使用来自大公司的API，不需要仲裁。

在其他合约中，我们正在寻找不同的解决方案，例如自己构建社区或与专注此领域的合作伙伴jur.io进行合作。

TokenGazer 研究员HE：大公司的API听起来是中心化操作方式？

SciDex Ofer Simon：中心化不是什么贬义词: ) 我们正在开发帮助人们编写与外界交流的智能合同的工具。

举个简单的例子来说，一个自由职业者为了推广YouTube视频获得报酬，我们肯定需要使用官方的谷歌API来衡量他们的工作量。我们正在从不同来源收集多种API接口并尝试达成共识。

TokenGazer 研究员HE：所以这意味着Google掌握了数据，目前我们只能从他们那里获取?

SciDex Ofer Simon：完全正确。如果/当他们把数据库移动到一个去中心化的数据库，我会第一个去那里抓数据。但现在我们的目标是将现实世界与“去中心化”世界连接起来，因此Oracle必须使用中心化的API来架起桥梁。

04.TokenGazer 研究员HE：数据交易市场如何避免非法数据交易的隐患？

SciDex Ofer Simon：我们有几种解决这个问题的方法：

首先，卖家需要缴纳押金，如果不遵守规定，这部分押金会作为罚款;

其次，我们有一个管理人网络审查数据，可以将这些数据标记为非法/虚假，我们有能力将其从市场上移除。

SciDex 王二儿：此外，我们编辑和生成智能合约的方式可以嵌入数据遵从性和数据限制。也就是说，我们能够将数据遵从性转换为智能合约，使其清晰、公开。使用智能合约解决数据遵从问题，从而防止非法数据。

05.TokenGazer 研究员HE：SciDex的设想，如向量空间建模、词频与逆文本频率指数等，是否进行过相关试验，或者试运行的数据？

SciDex Ofer Simon：与其说这是设想，更像是我们的NLP人员用来进行合同翻译(从纸质合同到数字智能合同)的技术方法。我们正在努力开发，但还有很多方面需要完善。

以下为英文原版：

01.TokenGazer Researcher HE: Whether it's the right timing generating smart contracts at scale? securities issues, scalability issues, and application scenarios?

SciDex Ofer Simon: The timing is right, as we need to build the right infrastructure to be ready when scale really hits.

We are already in the process of working with large corporates that are very interested in smart contracts and will need the market to be ready for scale to adopt.

Security wise, our smart contracts code is quite straight forward there are not too many integration points where people can exploit it.

Furthermore, each contract deployed will have its ID & hash stored in order to verify that no changes were made in the contracts after generating them.

The auto-deploy feature we built will save costs to the user and also make it more protected since we're managing it.

Scalability wise, at first, we're set to run on Ethereum net - and i don't see any specific scalability issue that is solvable in our hands.

Application wise, there are many! Some we can't talk about just yet and others like insurance, money lending, data exchange!

02.TokenGazer Researcher HE: SciDex uses the oracle as a third party to verify the transaction. The oracle predicts the connection between the blockchain and the real world. If the triggering conditions of the real-world event that anchored by the oracle are manipulated, what effect will it have?

SciDex Ofer Simon: We are building the third part oracles - we're not using someone else's (yet).

Also, we're using only officials APIs for our oracles, the likeliness of them being compromised for now is low.

Even though they are, we are working on other cool ways to check whether they are comprised as well as building an API consensus algorithm.

03.TokenGazer Researcher HE: How to ensure the reliability of the arbitrator when the transaction has a dispute?

SciDex Ofer Simon：At the beginning, we'll be using APIs from large companies, no need for an arbiter then.

In other contracts, we are looking into different solution such as building the community ourselves or leverage our partner jur.io which solely focuses on this.

TokenGazer Researcher HE: API of large companys sounds centralized.

SciDex Ofer Simon：Centralized is not a bad word :)

We're building a tool to help people write smart contracts that will communicate with the outside world.

Let's take a simple example of a freelancer getting paid for his work to promote a YouTube video, of course we will need to use official google APIs to measure the freelancer's work. That's what I mean by large company's APIs.

We are working on a consensus algo for collecting multiple APIs from less reliable sources.

TokenGazer Researcher HE: So that means for now we could only reach the data from Google?

SciDex Ofer Simon: Exactly. If/When they move their DB into a decentralized one - I'll be the first to crawl the data from there. But as we now aim to connect the real world with a "Decentralized" world, the oracles must use the centralized APIs to do the bridging.

04.TokenGazer Researcher HE: How to keep the data trading market away from the hidden dangers of illegal data transactions?

SciDex Ofer Simon: We have several mechanisms to approach this problem.

First , sellers stake money and might lose it if they aren't compliance.

Second, we have a curators network that review the data , and can mark this data as illegal/false and we have the power of removing it from the marketplace.

In addition, our way of editing and generating smart contracts can embed data compliance and data restrictions.

Meaning, we will be able to translate data compliance into smart contracts so those are clear and public.if solve data compliance using smart contracts, illegal data can be prevented :)

05.TokenGazer Researcher HE: SciDex's assumptions, such as Vector Space Modeling (VSM), Term Frequency & Inverse Document Frequency (TF-IDF), have you conducted relevant tests, or get any trial run data?

SciDex Ofer Simon: These aren't assumption, but more of technical approaches our nlp guys are taking to do the contracts translation (from paper to digital smart contracts).

We started the work in this, but there is still much to go until we complete this task.

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