FYP Proposal Sample - Department of Computer Science and ...



LDG3

FYP Proposal

Gamification of Trust:

Blockchain-based HKUST Social Credit System Using Body Activity Data

by

WONG Siu Fai, LAO Haoran, AGARWAL Anish and MENDOZA John Paul

 LDG3

Advised by

Prof. LAO Dage (老大哥)

 

 

 

Submitted in partial fulfillment of the requirements for COMP 4981

in the

Department of Computer Science

The Hong Kong University of Science and Technology

2022-2023

 Date of submission: September 16, 2022

Table of Contents

1 Introduction 4

1.1 Overview 4

1.2 Objectives 6

1.3 Literature Survey 9

2 Methodology 14

2.1 Design 14

2.2 Implementation 17

2.3 Testing 19

2.4 Evaluation 21

3 Project Planning 22

3.1 Distribution of Work 22

3.2 GANTT Chart 23

4 Required Hardware & Software 24

4.1 Hardware 24

4.2 Software​​​​​​​​​​​​ 24

5 References 25

6 Appendix A: Meeting Minutes 27

6.1 Minutes of the 1st Project Meeting 27

6.2 Minutes of the 2nd Project Meeting 28

6.3 Minutes of the 3rd Project Meeting 30

6.4 Minutes of the 4th Project Meeting 33

Introduction

1 Overview

Standardized Scoring Systems

In the 20th Century, retail banks in western countries began using credit scores to quantify the degree of risk in lending money to clients. These personal credit scores are usually based on a combination of factors, like a person’s debt repayment history, amount of debt relative to credit limits and how long he or she has had credit [1]. Similarly, standardized tests, like SAT, TOEFL and IELTS, have become a vital part of universities’ selection process for student admission. Thus, we can see that in today’s digital era, more and more institutions are using standardized scoring systems to rate people for various purposes. Although many people argue against such systems, the reality is that they will probably only become more and more prevalent and sophisticated in the future.

Gamification

In recent years, more and more software applications have been incorporating game principles or game-design elements to improve user engagement. This is called “gamification.” It has been used in the military, business, education and other areas.

Social Credit Systems

In recent years, the Chinese government has been developing a Social Credit System (社會信用體系) for Chinese citizens [2] that uses gamification to rate its citizens in terms of their trustworthiness in various areas. Pilot schemes have already been implemented in different forms in several large cities in China. Citizens can earn points for what the government considers to be good behavior, such as helping take care of disabled people and donating to college funds for poor students [3]. They can also lose points for certain types of behavior that the government considers to be bad, such as financial fraud, malicious evasion of bank debts and insider trading [2]. Higher scores can merit some rewards or being put on a redlist for things like discounts on energy bills and higher interest rates at banks, and lower scores can cause some penalties or being put on a blacklist for things like securing loans or traveling on airplanes and trains [3].

China’s ZTE Corporation has helped Venezuela develop its own social credit system, which allows Venezuelans to use their “fatherland cards” to receive subsidized food and health care [4]. Germany is also considering having a social credit system in the future [5].

Blockchain mining with body activity data

In 2020, Microsoft was granted a world patent for a novel “Cryptocurrency system using body activity data” [6]. This system is intended to do three things: (1) move the proof-of-work or “mining” process of verifying blockchain transactions from traditional inorganic computers to human bodies functioning as synthetic biocomputers, (2) utilize human brain waves or body heat emitted while certain tasks are performed, such as viewing advertisements or using certain internet services and (3) enable humans to acquire cryptocurrency in the coming new global financial social credit system after the coming “Great Reset” [7]. Participants in the system merely need to have nano biosensors injected into them via hypodermic needles. It is possible that all or most of the current COVID vaccines already include these nano biosensors, since vaccine manufacturers are not required to disclose all the exact ingredients of their products under emergency use authorization. Such a system can feasibly be rolled out as soon as a large enough percentage of the global population is vaccinated. Thus, as the Hong Kong SAR Government says, “It’s more than a jab!” [8].

HKUST Vaccination / Testing Reporting System

The HKUST Vaccination / Testing Reporting System (VTRS) [9] was launched in August 2021 for HKUST members to input their vaccination and testing status and qualify them to obtain Campus Access Passes (CAPs). These are a first step towards a social credit system for HKUST members.

Although no plans have been officially announced yet for a social credit system in HKUST, our group realizes that this is where it is all heading sooner or later. Therefore, in our final year project, we are developing a blockchain-based social credit system for the HKUST community, including students, faculty, staff and all family members living in campus housing. But it is only a proof of concept.

Our hope is to better understand:

• How gamification of trust works

• How a social credit system might be designed and implemented in an equitable manner

• The pitfalls of gamification of trust and movement towards a hive mind

• How to incorporate blockchain technology into a social credit system

• How to incorporate body activity data into blockchain mining

• What life might be like for people who (for whatever reason) find themselves to be considered “untrustworthy.”

2 Objectives

The goal of this project is to design and implement a blockchain-based social credit system using body activity data for members of the HKUST community. Our system will use gamification to rate students, faculty, staff and family members living in campus housing in terms of their trustworthiness in various areas.

To achieve our goal, we will mainly focus on the following objectives:

1. Build a database that consolidates social credit data and facilitates data sharing between university departments as well as government agencies.

2. Develop a credit sharing system to collect information from various university departments.

3. Develop a blacklisting system that includes blacklists (for bad behavior) to motivate compliance with existing behavioral codes and redlists (for good behavior) to motivate community members to go beyond their normal responsibilities to enhance campus life. (It is called a blacklisting system, because China’s Social Credit System focuses on penalties more than rewards, since most laws are made for law breakers.) Being on either a blacklist or redlist will have varying time durations, like one week, one month, one year or permanent.

4. Develop a punishment and reward system that will enable the university to penalize those community members with bad credit records and reward those with good credit records. Both punishments and rewards will have varying time durations, like one week, one month, one year or permanent. We will think carefully how to make this system fair.

5. Incorporate the HKUST VTRS so as to make vaccination the cornerstone of all future social credit and behavior modification and provide seamless integration between our system and access to various campus services. This feature will help us observe how people respond to restrictions in their lifestyles and activities.

6. Incorporate blockchain technology into the system so as to ensure data integrity.

7. Incorporate body activity data into blockchain mining so as to reward university members for good or useful behavior.

8. Develop a user interface (UI) for community members. This UI will be web-based and user friendly. It will allow community members to check their personal social credit scores and see if they or other members are on any blacklists or redlists.

9. Develop a UI for administrators. This UI will also be web-based and user friendly, and it will allow administrators to manage community members’ social credit data.

The biggest challenge we expect to face will be incorporating blockchain technology and body activity data into the system. To address this, we will carefully study the Microsoft patent and related literature. Other challenges will be developing the credit sharing system to collect information from various university departments and designing a fair punishment and reward system. To address these challenges, we will work closely with the Academic Registry Office (ARO) and other departments, and we will carefully study the implementation of social credit systems in China.

3 Literature Survey

Punishment and rewards have been used by parents and people in authority for thousands of years. Children and people under authority tend to dislike punishment and like rewards, but both punishments and rewards are nevertheless part of every family, every institution and every society. To understand digitized and gamified social credit systems, we studied three systems in China that have already been implemented and tested. These are discussed below.

1 Suzhou Social Credit System

The Suzhou Social Credit System Construction Plan (苏州市社会信用体系建设规划）has been in development since 2014 [10]. It focuses on implementing measures punishment of untrustworthy natural persons in Suzhou City. It is based on existing laws, regulations, standards and contracts, and the goal is to somehow establish a culture of integrity and promote the traditional virtue of integrity. Using reward and punishment mechanisms, it is designed to improve the integrity awareness and credit level of the whole society. The website for the system is shown below.

[pic]Figure 1 - The Suzhou Social Credit Center website,

The first phase included the development of a Credit Information Basic Database and Service Platform, an honesty network, a data exchange front-end subsystem, a data processing subsystem, a business management subsystem, a credit service subsystem, a corporate credit database and a natural person credit database. It is connected to the provincial credit information center and the data of 26 municipal departments. More than 13.3 million pieces of corporate credit information were cleaned, covering more than 360,000 industrial and commercial households and more than 560,000 taxpayers. The natural person credit information database covers 13 million people and contains more than 44 million records in 35 categories.

The work is being carried out by eight provincial-level credit management demonstration enterprises and 126 municipal-level enterprises. It has established and opened 78 project information and credit information sharing offices in the field of engineering construction, and it has released 23,625 project information items and 304,000 project credit information items. So far, 500 cases of bad behavior of legal persons have been reported, and employee misbehavior cases have totaled 125. The entire project has successfully built multiple networks for data exchange that interface with each other. This ensures automatic pushing and collection of information between departments and municipal platforms, and it includes real-time dynamic disclosure of project information based on project coding.

A credit service market is quietly emerging. At present, there are 18 credit intermediaries registered with the Municipal Credit Office. They utilize credit information to develop credit products, especially in energy-saving support projects.

Although the system has advanced significantly, certain tasks are still under development, and some problems need to be resolved. For example, the development of departments is not balanced, the departmental linkage mechanism has not yet been established, the application of credit products needs to be further expanded, and the credit service system is not yet developed. It also needs some enhancements to help Suzhou compete better on an international market level.

The system needs to promote more government integrity, business integrity, and social integrity. It is hoped that in cooperation with judicial credibility development, the social credit system will promote a culture of honesty that is suitable for China's national conditions and that reflects Suzhou's unique characteristics. For government integrity, the system will strengthen social supervision and restraint on the operation of power and establish a mechanism for the government to keep its promises.

For business integrity, it will focus on food, medicine and daily consumer goods, establishing product quality integrity reports, untrustworthy blacklist disclosure, market bans and exit systems. It will also promote credit construction in industries such as wholesale, retail, commerce, logistics, catering, accommodation and resident services, strictly investigating and dealing with dishonest behavior, such as manufacturing and selling fakes, pyramid schemes, false advertising, shoddy products, service breaches, etc. It will also include an early warning of credit risks. For financial institutions, it will severely crack down on financial fraud, malicious evasion of bank debts, insider trading, production and sale of fake insurance policies, fraudulent insurance and compensation, disclosure of false information, illegal fund-raising, fraudulent foreign exchange evasion and other dishonest acts.

For citizens, it will also establish a blacklist system to crack down on dishonest acts, such as tax evasion and improve taxpayers' compliance with tax laws, and it will strengthen the standardization of price behavior and improve the transparency of pricing policies.

10 Rongcheng Social Credit Center

The Rongcheng Social Credit Center (荣成市社会信用中心) is a website with public access to social credit information in the city of Rongcheng [11]. It has been under development for several years, and it allows people to look up social credit information.

[pic]

Figure 2 - The Rongcheng Social Credit Center website [11]

This web portal is already quite mature …

11 Alibaba’s Séseme Credit System

Alibaba’s Séseme Credit System (芝麻信用) provides services to Alibaba users [12].

[pic]Figure 3 - The Séseme Credit website of Alibaba

This web portal …

Methodology

1 Design

The Design Phase of the project started in early July, and we will continue working on the following aspects:

1 Analyze social credit systems

We will carefully study three social credit systems in China to understand how they store data and how we can easily capture it and store it in a database.

2 Design the database

Our database will consolidate social credit data and facilitate data sharing between university departments as well as government agencies. We will design an entity-relationship schema (ER diagram) for our database. The ER diagram will help us design a stable and efficient database. It may include the following attributes:

• Name

• ID number

• Gender

• Birthdate

• Civil and criminal court records

• Failure to carry out court-ordered judgements

• Incarceration

• Repeat offences

• Traffic violations

• Violations of professional ethics

• Academic fraud

• Patent or copyright fraud

• Telecom scamming

• Insurance fraud

• Lying or cheating on examinations

• City volunteering

• Blood and bone marrow donation

• Charitable contributions

• Timely return of library books

• Other good deeds

• Awards and recognition received for innovation, patents and inventions

• Literary awards

• Heroism awards

• Various “good citizen” awards

3 Design the credit sharing system

The credit sharing system will collect information from various university departments.

4 Design the blacklisting system

The blacklisting system includes blacklists (for bad behavior) to motivate compliance with existing behavioral codes and redlists (for good behavior) to motivate community members to go beyond their normal responsibilities to enhance campus life. Being on either a blacklist or redlist will have varying time durations, like one week, one month, one year or permanent.

5 Design the punishment and reward system

The punishment and reward system will enable the university to penalize those community members with bad credit records and reward those with good credit records. Both punishments and rewards will have varying time durations, like one week, one month, one year or permanent. We will consult various stakeholders and think carefully how to do this so as to balance the different views and beliefs of members of the HKUST community.

6 Incorporate the HKUST VTRS

We will work with the VTRS staff to incorporate VTRS into our system. We will also design incentives. For example, people who do not receive a vaccination may be put on a blacklist for use of the fitness center or swimming pool. We will consult various stakeholders and think carefully how to do this so as to balance the different views and beliefs of members of the HKUST community. During beta testing, we will observe how people respond and adapt to restrictions in their lifestyles and activities.

7 Incorporate blockchain technology

The system will be based on blockchain technology so as to minimize the use of fake documents.

8 Incorporate body activity data into blockchain mining

The system will first be tested using Fitbits and other wearables…

9 Design the community member UI

The community member UI will be web-based and user friendly. It will allow community members to check their personal social credit scores and see if they or other members are on any blacklists or redlists.

10 Design the administrator UI

The administrator UI will also be web-based and user friendly, and it will allow administrators to manage community members’ social credit data.

2 Implementation

The Implementation Phase will include the following aspects:

1 Build the database

Based on our ER diagram, we will use My SQL to build our social credit database. It must …

2 Develop the credit sharing system

Based on our design, we will use [some tools] to develop a system that automatically collects information from various university departments.

3 Develop the blacklisting system

Based on our design, we will use [some tools] to develop blacklists to motivate compliance with existing behavioral codes and redlists to motivate community members to go beyond their normal responsibilities to enhance campus life.

4 Develop the punishment and reward system

Based on our design, we will use [some tools] to develop the punishment and reward system.

5 Develop the VTRS interface

Based on our design, we will use [some tools] to develop an interface.

6 Develop the blockchain system

Based on our design, we will use [some tools] to develop blockchain technology.

7 Develop the body activity data blockchain mining system

Based on our design, we will use [some tools] to develop this system.

8 Develop the community member UI

Based on our design, we will use Bootstrap to develop the community member UI.

9 Develop the administrator UI

Based on our design, we will use Bootstrap to develop the administrator UI.

3 Testing

During the development process, unit testing will be done to ensure all modules are built correctly. System integration testing will be done after we have built all the components and combined them into the application. We will test the database, each module and the user interfaces.

1 Test the database

To test the database, we will …

2 Test the credit sharing system

To test the credit sharing system, we will …

3 Test the blacklisting system

To test the blacklisting system, we will …

4 Test the punishment and reward system

To test the punishment and reward system, we will …

5 Test the VTRS interface

To test the VTRS interface, we will…

6 Test the blockchain system

To test the blockchain system, we will…

7 Test the body activity data blockchain mining system

To test the body activity data blockchain mining system, we will...

8 Test the community member UI

To test the community member UI, we will …

9 Test the administrator UI

To test the administrator UI, we will …

4 Evaluation

After we have finished all the testing, we will evaluate how well the system fulfills our objectives:

1. Is the database complete and always up to date?

2. How well does the credit sharing system interface with each data source?

3. How well does the blacklisting system work?

4. How well does the punishment and reward system work?

5. How effective is the VTRS interface?

6. How secure is the VTRS interface?

7. How well does the blockchain system work?

8. How well does the body activity blockchain mining system work?

9. How user-friendly and intuitive is the community member UI?

10. How user-friendly and intuitive is the administrator UI?

Project Planning

1 Distribution of Work

|Task |Haoran |Anish |John Paul |

|Do the literature survey |○ |○ |● |

|Analyze social credit systems |● |○ |○ |

|Design the database |● |○ |○ |

|Design the credit sharing system |● |○ |○ |

|Design the blacklisting system |● |○ |○ |

|Design the punishment and reward system |○ |● |○ |

|Design the VTRS interface |○ |● |○ |

|Design the blockchain system |○ |○ |● |

|Design the body activity blockchain mining system |○ |● |○ |

|Design the community member UI |○ |○ |● |

|Design the administrator UI |○ |○ |● |

|Build the database |● |○ |○ |

|Develop the credit sharing system |● |○ |○ |

|Develop the blacklisting system |● |○ |○ |

|Develop the punishment and reward system |○ |● |○ |

|Develop the VTRS interface |○ |● |○ |

|Develop the blockchain system |○ |○ |● |

|Develop the body activity blockchain mining system |○ |● |○ |

|Develop the community member UI |○ |○ |● |

|Develop the administrator UI |○ |○ |● |

|Test the database |● |○ |○ |

|Test the credit sharing system |● |○ |○ |

|Test the blacklisting system |● |○ |○ |

|Test the punishment and reward system |○ |● |○ |

|Test the VTRS interface |○ |● |○ |

|Test the blockchain system |○ |○ |● |

|Test the body activity blockchain mining system |○ |● |○ |

|Test the community member UI |○ |○ |● |

|Test the administrator UI |○ |○ |● |

|Perform integration testing |○ |○ |○ |

|Write the reports |○ |○ |● |

|Prepare for the presentation |● |○ |○ |

|Design the project poster |○ |○ |● |

● Leader ○ Assistant

2 GANTT Chart

Task |July |Aug |Sep |Oct |Nov |Dec |Jan |Feb |Mar |Apr | |Do the literature survey | | | | | | | | | | | |Analyze social credit systems | | | | | | | | | | | |Design the database | | | | | | | | | | | |Design the credit sharing system | | | | | | | | | | | |Design the blacklisting system | | | | | | | | | | | |Design the punishment and reward system | | | | | | | | | | | |Design the VTRS interface | | | | | | | | | | | |Design the community member UI | | | | | | | | | | | |Design the administrator UI | | | | | | | | | | | |Build the database | | | | | | | | | | | |Develop the credit sharing system | | | | | | | | | | | |Develop the blacklisting system | | | | | | | | | | | |Develop the punishment and reward system | | | | | | | | | | | |Develop the VTRS interface | | | | | | | | | | | |Develop the blockchain system | | | | | | | | | | | |Develop the body activity blockchain mining system | | | | | | | | | | | |Develop the community member UI | | | | | | | | | | | |Develop the administrator UI | | | | | | | | | | | |Test the database | | | | | | | | | | | |Test the credit sharing system | | | | | | | | | | | |Test the blacklisting system | | | | | | | | | | | |Test the punishment and reward system | | | | | | | | | | | |Test the VTRS interface | | | | | | | | | | | |Test the blockchain system | | | | | | | | | | | |Test the body activity blockchain mining system | | | | | | | | | | | |Test the community member UI | | | | | | | | | | | |Test the administrator UI | | | | | | | | | | | |Perform integration testing | | | | | | | | | | | |Write the proposal | | | | | | | | | | | |Write the monthly reports | | | | | | | | | | | |Write the progress report | | | | | | | | | | | |Write the final report | | | | | | | | | | | |Prepare for the presentation | | | | | | | | | | | |Design the project poster | | | | | | | | | | | |

Required Hardware & Software

1 Hardware

Development PC: PC with MS Windows 10 or later

Minimum Display Resolution: 1024 * 768 with 16-bit color

Server PC: PC with 1TB hard drive

Body activity sensors: Fitbits (3 units)

2 Software​​​​​​​​​​​​

MySQL For our database

JAVA, JavaScript, PHP Programming languages

…

References

[1] B. O'Shea. "What Is a FICO Score?" Accessed: Aug. 27, 2022. [Online]. Available:

[2] China State Council. 国发〔2014〕21号. 14 June 2014. "国务院关于印发社会信用体系建设规划纲要（2014—2020年）的通知 (Notice of the State Council on the issuance of the Outline of the Social Credit System Construction Plan (2014-2020)." Accessed: Aug. 27, 2022. [Online]. Available: content_8913.htm

[3] A. Ma. "China's controversial social credit system isn't just about punishing people — here's what you can do to get rewards, from special discounts to better hotel rooms." Business Insider. Accessed: Aug. 19, 2022. [Online]. Available:

[4] A. Berwick. "Venezuela is rolling out a new ID card manufactured in China that can track, reward, and punish citizens." Reuters. Accessed: Aug. 20, 2022. [Online]. Available:

venezuela-id-card-tracks-citizens-like-china-2018-11

[5] C. Schaer. "Germany edges toward Chinese-style rating of citizens." Handelsblatt Today. Accessed: Aug. 20, 2022. [Online]. Available:

politics/big-data-vs- big-brother-germany-edges-toward-chinese-style-rating-of-citizens/ 23581140.html

[6] Cryptocurrency system using body activity data, by Microsoft Technology Licensing, LLC [US]. (2020, May 26). World Patent WO2020060606A1 [Online]. Available:

[7] K. Schwab. " Now is the time for a 'great reset'." World Economic Forum. Accessed: Aug. 20, 2022. [Online]. Available:

now-is-the-time-for-a-great-reset/

[8] HKSAR Government. "Hong Kong Vaccination Dashboard." Accessed: Aug. 20, 2022. [Online]. Available:

[9] HKUST. "Vaccination / Testing Reporting System." Accessed: Aug. 20, 2022. [Online]. Available:

[10] Socialcredit.. "Understanding China’s Social Credit System." Accessed: Aug. 20, 2022. [Online]. Available:

uploads/2019/09/Understanding-Chinas-Social-Credit-System-Trivium-China-20190923.pdf

[11] .cn. “苏州市社会信用体系建设规划（2014～2020年） (Suzhou Social Credit System Construction Plan (2014～2020)).” Accessed: Aug. 20, 2022. [Online]. Available:

difangzhengcefagui1/201807/t20180730_122008.html

[12] Credit China (Shandung, Rongcheng). 荣成市社会信用中心 (The Rongcheng Social Credit Center).” Accessed: Aug. 31, 2022. [Online]. Available:

[13] Alibaba. "芝麻信用 (Séseme Credit)." Accessed: Aug. 31, 2022. [Online]. Available:

Appendix A: Meeting Minutes

1 Minutes of the 1st Project Meeting

Date: May 7, 2022

Time: 11:00 am

Place: Room 3666

Present: Siu Fai, Haoran, Anish, John Paul, Prof. Lao

Absent: None

Recorder: John Paul

 

1. Approval of minutes

This was the first formal group meeting, so there were no minutes to approve.

 

2. Report on progress

1. All team members have read the instructions of the Final Year Project online and have done research for the topic.

2. All team members have done some research on China’s social credit system.

3. Discussion items

1. Prof. Lao said that the goal of project is basically to try to develop a small-scale social credit system for the HKUST community, including students, faculty, staff and all family members living in campus housing. It is only proof of concept. There are no plans to actually implement such a system.

2. The project plan needs to include a list of the main tasks, who will work on each task and a GANTT chart.

3. Prof. Lao showed us a few examples of pilot systems that are already in use in Mainland China and suggested that we choose three and analyze them closely.

4. He also gave us some reading materials to understand social credit systems and the goals of the China State Council.

5. He recommended that we try to find the best development tools available.

6. He said that we should try to arrange meetings with ARR and other departments to gather the data needed for the database.

7. All four team members will be having internships this summer and will not be able to spend much time on the project.

8. Prof. Lao said that that is okay, but we should try to meet at least once per month as a team and try to start the literature survey.

4. Goals for the coming week

1. All members will begin to produce a project plan, including a list of the main tasks, who will work on each task and a GANTT chart.

2. All members will try to study and discuss the examples of pilot systems that Prof. Lao showed us that are already in use in Mainland China, and we will try to choose three to analyze closely.

3. We will begin to read the materials provided by Prof. Lao and do some research to understand social credit systems and the goals of the China State Council.

4. We will begin to look for development tools.

5. Siu Fai will contact ARR to see if we can set up a meeting about gathering the data needed for the database.

 

5. Meeting adjournment and next meeting

The meeting was adjourned at 12:00 noon.

The next meeting will be at 11:00 am on May 15th at the Learning Commons.

2 Minutes of the 2nd Project Meeting

Date: May 15, 2022

Time: 11:00 am

Place: Learning Commons

Present: Siu Fai, Haoran, Anish, John Paul

Absent: Prof. Lao

Recorder: John Paul

 

1. Approval of minutes

The minutes of the last meeting were approved without amendment.

 

2. Report on progress

1. All members have begun to read the materials provided by Prof. Lao and do some research to understand social credit systems and the goals of the China State Council.

2. All members have begun to look for development tools.

3. Siu Fai tried contacting ARR to see if we can set up a meeting about gathering the data needed for the database, but the person in charge is on annual leave.

3. Discussion items

1. Siu Fai said that he is not really excited about this project, because it is kind of scary if this were ever to happen in Hong Kong. Anish agreed, but Haoren said not to worry about it, since a pilot scheme is already in use in his hometown, and a lot of people think it is really cool.

2. Siu Fai suggested that we switch topics and just develop a VR game. This project idea just makes him think of disappointments in Hong Kong since 2020. Anish said that he would not mind developing a VR or AR game.

3. John Paul said that this project could actually be a practical learning experience, since there is a prophecy about something like this. He said that according to the thirteenth chapter of the Book of Revelation, in the days prior to the return of Jesus Christ some kind of political, scientific, technological and commercial control system will be implemented by powerful people in countries all over the world. It is called a beast. The prophecy says that some kind of two-part technocratic system will cause people to receive some kind of technology in their bodies for identification and authentication purposes. It is called the mark of the beast. One part of the system will control the technology and policies and propaganda, while the other part develops amazing weapons and multimedia and uses various incentives to get people to accept the new technology. If people accept the technology, they can enjoy a normal life and easily buy goods and sell their services to employers, but if they reject it, they will have restrictions and will not get to enjoy the same degree of convenience.

4. Haoren said that since Prof. Lao is his father’s younger brother, we should give the social credit system a try. Prof. Lao has always been kind to him and even helped him come to HKUST, and he has had really good experience in the development of the social credit system in Suzhou, so we should be able to learn a lot from him.

5. Anish said that he is okay with the social credit system topic, since it does look like the experimental injections and digital health passports will make this a reality in the next year or two. John Paul agreed and assured Siu Fai that it is just proof of concept. He does not have to believe in the system. Siu Fai finally agreed.

6. All team members will be having internships this summer, so we will not be able to do much or meet face to face, but we can still do some work and meet on Zoom.

4. Goals for the coming month

1. All members will begin to produce a project plan, including a list of the main tasks, who will work on each task and a GANTT chart.

2. All members will study the examples of pilot systems that Prof. Lao showed us that are already in use in Mainland China, and we will try to choose three to analyze closely.

3. We will read the materials provided by Prof. Lao and do some research to understand social credit systems and the goals of the China State Council.

4. We will try to look for suitable development tools.

5. Siu Fai will contact ARR again to see if we can set up a meeting about gathering the data needed for the database.

 

5. Meeting adjournment and next meeting

The meeting was adjourned at 12:30 pm.

The next meeting will be at 20:00 on May 22nd via Google Hangouts.

3 Minutes of the 3rd Project Meeting

Date: May 22, 2022

Time: 20:00

Place: Google Hangouts

Present: Siu Fai, Haoran, Anish, John Paul

Absent: Prof. Lao

Recorder: John Paul

 

1. Approval of minutes

The minutes of the last meeting were approved without amendment.

 

2. Report on progress

1. All members have begun to produce a project plan, including a list of the main tasks, who will work on each task and a GANTT chart.

2. All members have begun to study the examples of pilot systems that Prof. Lao showed us that are already in use in Mainland China, and we decided to closely analyze the Suzhou Social Credit System, the Rongcheng Social Credit System and Alibaba’s Séseme Credit System.

3. We have been reading the materials provided by Prof. Lao and have done some research to understand social credit systems and the goals of the China State Council.

4. We have tried to look for suitable development tools.

5. Siu Fai again contacted ARR about information for our database and was told that we need to talk to Ms. Regina Yip, who manages the Student Information System. However, Ms. Yip is currently on leave until July 5th.

3. Discussion items

1. Haoren suggested that we add COVID-19 vaccines to the system, since HKUST students are now encouraged to get vaccinated by the Fall Term.

2. Siu Fai said that there is no way he will get a vaccine, since he does not want to be a guinea pig. Anish agreed but said that the feature would still be good for our system, as it would make it more realistic. He also suggested that we include the options for PCR testing or studying from home.

3. John Paul said that the COVID-19 vaccines now really look a lot like the technology mentioned in the thirteenth chapter of Revelation – the mark of the beast – because public-private partnerships around the world are causing people to accept these new experimental vaccines for the sake of convenience, and eventually it will probably lead to not being able to buy or sell. He also said that researchers from MIT and Harvard have stated that SARS-CoV-2 can be reverse-transcribed and integrated into the human genome due to HIV-1 inserts and the fact that HIV-1 is a retrovirus. This allows for natural alteration of people’s DNA. Since vaccines contain SARS-CoV-2, they also have HIV-1 inserts that can be reverse-transcribed and integrated into the human genome too. This means that the vaccines make people GMOs. Anish said that researchers in India and France also found HIV-1 inserts in the SARS-CoV-2 virus, and HIV-1 is a retrovirus, which can provide gain of function for entry to the cell nucleus of the host for permanent alteration and for leaving new genetic markers. He also said that a lot of doctors and scientists say that the injections may also include Luciferase, an oxidative enzyme that produce bioluminescence for visual markings and personal identification and authentication under NIR light, nano computing devices to turn people into an edge computers, nano biosensors to turn people into an edge computing devices on the IoT for things like measuring brain waves and body heat to be used for mining cryptocurrency and quantum dots to enable spintronics and quantum entanglement with a quantum computer at a later time - perhaps when critical mass or "herd immunity" is reached. By that time, injections will probably be made via quantum dot microneedle array tattoo patches in the hand or forehead, since they are easy to ship and apply in places all over the world without a need for refrigeration. After a few minutes, the needles dissolve into the skin.

4. Siu Fai said that it has also allowed governments to have more power over the people. People all over the world are all essentially now living under medical martial law to some degree, so it really looks like social engineering - problem, reaction and solution. He also said that the entire plandemic has become a good excuse for Big Tech and Big Pharma to sell technology and medical products that are quite profitable, especially if they require regular upgrades.

5. Haoren said that he has not heard any of this yet and cannot understand why nobody in the government or WHO has mentioned these things.

6. Anish suggested that Haoren do more research on the topic. There is a lot of information available online, although Big Tech has been censoring most good information. One good documentary is called ‘Plandemic.’ He also recommended listening to people like Dr. Peter McCullough, Dr. Sherri Tenpenny, Dr. Lee Merit, Dr. Carrie Madej, Dr. Vernon Coleman, Dr. Geert Vanden Bossche, Dr. Luc Montagnier and Mr. Anthony Patch.

7. Haoren said that even if all these things are true, we cannot stop the momentum of these things. The WHO and many governments and tech giants are behind it.

8. John Paul suggested that we just include something about social credit points for people in our system who get the vaccines. Siu Fai said that such people who get vaccinated should get points deducted, because they are not using their common sense and allowing themselves to be guinea pigs. He suggested giving points to people who just study from home. Anish said he thinks that people who take the vaccines should be blacklisted from school, but for practical reasons we should try to make it match the university’s objectives. He suggested that we do not have to necessarily agree with the way points are given or deducted. Haoren and John Paul agreed. Siu Fai said that we can do whatever we want, since he is thinking of moving to the UK and may drop out of school if he cannot study from home. He does not want a vaccine or PCR testing.

9. Regarding project responsibilities, Siu Fai will be the leader for analyzing the social credit systems and designing, developing and testing the database. Haoren will be in charge of designing, developing and testing the credit sharing system and the blacklisting system. Anish will be in charge of designing, developing and testing the punishment and reward system and the COVID-19 vaccination incentives. John Paul will be in charge of designing, developing and testing the community member UI and the administrator UI; he will also write all the reports.

4. Goals for the coming month

1. John Paul will begin to type up the introduction and project planning sections of our proposal report.

2. All members will closely analyze the Suzhou Social Credit System, the Rongcheng Social Credit System and Alibaba’s Séseme Credit System.

3. We will try to look for suitable development tools.

4. Siu Fai will try to set an appointment with Ms. Regina Yip of ARR, who manages the Student Information System to see if we can gather student data needed for the database.

 

5. Meeting adjournment and next meeting

The meeting was adjourned at 21:15 pm.

The next meeting will be at 20:00 on July 26th via Google Hangouts.

4 Minutes of the 4th Project Meeting

Date: July 26, 2022

Time: 20:00

Place: Google Hangouts

Present: Haoran, Anish, John Paul

Absent: Prof. Lao

Recorder: John Paul

 

1. Approval of minutes

The minutes of the last meeting were approved without amendment.

 

2. Report on progress

1. Siu Fai has left the group and is now preparing to study in the UK.

2. John Paul typed up the introduction and project planning sections of our proposal report.

3. All members will closely analyze the Suzhou Social Credit System, the Rongcheng Social Credit System and Alibaba’s Séseme Credit System.

4. We tried to look for suitable development tools.

5. Before Siu Fai left Hong Kong, he talked to Ms. Regina Yip of ARR, who manages the Student Information System. She has agreed to help us.

3. Discussion items

1. Haoren introduced a patent from Microsoft about a cryptocurrency system using body activity data. He said that his uncle told him that it is already quietly being developed in Mainland China, and it is probably going to be tied to the global banking system after the current system crashes. It is based on blockchain technology and body activity data, like brain waves and body heat generated from certain activities. Users can get crypto tokens for doing certain tasks successfully, and this will be a new way to perform proof of work without the need for traditional computers and lots of electricity. After all, people’s bodies can function as synthetic biocomputers if they have the right nano biocomputing devices and nano biosensors injected into them. He said that his uncle has friends who have been working on this for years at Microsoft in both Redmond, Washington and in Beijing. It is already being tested, and the COVID vaccines actually include the necessary nano biosensors and nano biocomputing devices. It is basically making humans edge computing devices, keeping them docile and no longer able to stir up trouble. Haoren showed us the patent, WO2020060606A1. He said that for now it is best to just use Fitbits for biosensing, since it is still a confidential project being managed by the WHO, MIT, Microsoft, DARPA and some other tech companies under the supervision of the Concordia Group. John Paul took a look and noted that the patent number ended in 60606, which is like the 666 of the mark of the beast in the book of Revelation chapter 13. He said that these vaccines sure look like the mark of the beast to him.

2. Anish suggested that we integrate this into our system and also the new vaccine system that HKUST will use, since this will help us understand what’s going on. Haoren and John Paul agreed.

4. Goals for the coming month

1. John Paul will continue to write the proposal report and send a copy to the others for comments.

2. All members will closely study the Microsoft patent and related technology.

3. We will continue to try to look for suitable development tools.

 

5. Meeting adjournment and next meeting

The meeting was adjourned at 20:55 pm.

The next meeting will be at 20:00 on August 15th via Hangouts.

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