vietnam mias program using social power
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Historical Facts 1.1 mil killed soldiers (martyrs) during
Vietnam War Many of them are LOST:
Martyrs’ graves be gathered, yet unknown to their families (about 50,000)
Unknown martyrs, therefore not be gathered yet (about 500,000)
No strong ties / connections between: Families of different martyrs Martyrs’ families & veterans
All these lead both historical and social concerns up to now
Reasons Gathered but LOST to the family:
Economic reason/ Poor; geographic distance didn’t allow the searching grave efforts from their families
Martyrs’ important documents got lost during war
Misinformation (death info, camp’s unit code info) during war
Unfound, Unknown Martyrs Fierce war Bad logistics
Information holding by family• Too short and unclear
• More detail information is only available in Ministry of Defense’s archives, which is nearly impossible to access to due to data security.
• Even, in MoD’s files, there is not enough data about the location of the martyrs’ tombs
• In most cases, the death notice paper is the only piece of information that the martyr’s family can have.
Current popular solutions Ask for the help from telepaths Ask for information from the martyr’s fellows Ask for access to MoD’s archives to find out where the
martyr died then scan every martyr’s cemetery in the region.
Advertise on media ALL are costly and not very effective
with low chances of success
Martyrs Finding Social Network Purpose: Using community
resources in order to help martyr’s family to find remains of their loved ones by approaching new science-based method with high accuracy.
Procedure: is divided into these below steps: Step 1: Digitalize all the martyrs
cemeteries in Vietnam Step 2: Build the DNA database of
martyrs relatives Step 3: Build the DNA database of
anonymous martyrs
LietSi.com – Stage 1 Aim: Digitalize all Martyrs’
cemeteries in Vietnam, make them searchable on the internet
Method: Using social powers and computer science methods
Simplify martyrs searching work to normal computer activities, reduce all the cost of searching progress
System Structure
Developing model
Google+
ZingMe
Octopus-like model Depending on several different social networks through social applications
• Social network users will contribute to digitalize figures• The head of the octopus is the website lietsi.com including searching tool and software tools that serve to take and upload photos• Each tool, technology or social application will be undertaken by experts in each field who are willing to dedicate
Technologies Social Networking Massive-scale online
collaboration Optical Character
Recognization (OCR) Image Fingerprinting Mobile Application
Development Data Mining
Massive Scale Online Collaboration• Pyramids, Wikipedia, etc., all great works of the humankind are made from minor contribution of each individual• Google ReCaptcha – Stop spam, read books: prevent spam, and 129 million books, 4 billion book sheets, 2,000 billion words will have been digitalized by the end of this decade• Duolingo.com: study foreign languages, and translate all websites from one language to another
Result Extracted information from the
tombstone photo is turned into searchable data
With the information, it is much easier to locate the current tombstone
Digitalise all tombstone information by the help of contributors
Contributors People from their family Volunteers from the Youth
Organisations Volunteers from Non-profit
Organisations Members from top social
networks: Facebook, Google+, Zing Me and Pinterest…
The objective: contributions from everybody
Feasibility Cell-phones with camera are popular 1.1 mil is not a big number for a
country with population of 100 mil Computer science can control the data
quality Lot of people, especially the youth,
want to contribute something for their society
There will be many other interactive features on the network
LietSi.com – Stage 2 Aim: establishing a DNA data bank of
unknown, missing revolutionary martyrs’ close relative
Reason Close relative genes for DNA matching The number of revolutionary martyrs’
close relative is few and decreasing Feasibility
Payment from martyr’s families Government Funds Foreign Funds Current average cost: 20$ - 150$ / case
LietSi.com – Stage 3 Aim: To discover the identities
of the nameless martyrs by DNA analysis method, which compares their DNA with those in their relatives' DNA bank
need to rely on the innovation of bio-informatics in the future, with less expensive Dna experiments and more feasible big-scale projects
Can be solved in 10 years
Discussion