Chiwon Lee ᱨᱮᱱᱟᱜ Bltn ᱮᱟᱤ ᱜᱟᱯᱟᱞ ᱢᱚᱸᱪ ᱫᱚ ᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2024 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱠᱟᱥᱟᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ· 2024

Bltn ᱮᱟᱤ ᱜᱟᱯᱟᱞ ᱢᱚᱸᱪ

Chiwon Lee ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Multitude Insights

ᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#154690 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Bltn ᱮᱟᱤ ᱜᱟᱯᱟᱞ ᱢᱚᱸᱪ ᱵᱟᱵᱚᱛ ᱛᱮ

BLTN ᱫᱚ ᱢᱤᱫ ᱥᱚᱯᱷᱴᱣᱮᱨ ᱮᱡᱽ ᱮ ᱥᱚᱨᱵᱷᱤᱥ (SaaS) ᱢᱚᱸᱪ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱱᱮᱪᱩᱨᱟᱞ ᱞᱟᱝᱜᱩᱣᱮᱡᱽ ᱯᱨᱚᱥᱮᱥᱤᱝ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ (NLP) ᱟᱨ ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ (AI) ᱥᱟᱶ ᱢᱮᱥᱟ ᱠᱟᱛᱮ ᱥᱚᱨᱠᱟᱨᱤ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ (GovTech) ᱨᱮ ᱡᱚᱱᱛᱟ ᱨᱩᱠᱷᱤᱭᱟᱹ ᱠᱟᱹᱢᱤ ᱠᱚ ᱥᱚᱡᱷᱮ ᱥᱟᱹᱜᱩᱱᱟᱭ᱾ BLTN ᱫᱚ ᱠᱟᱹᱱᱩᱱ ᱯᱟᱞᱚᱱ ᱚᱯᱷᱤᱥᱚᱨ ᱠᱚᱣᱟᱜ ᱰᱟᱴᱟ ᱵᱚᱞᱚᱱ ᱟᱨ ᱦᱟᱹᱴᱤᱧ ᱥᱚᱡᱷᱮ ᱥᱟᱹᱜᱩᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱠᱟᱹᱢᱤ ᱠᱚ ᱵᱟᱹᱲᱛᱤ ᱥᱚᱨᱮᱥᱛᱮ ᱪᱟᱹᱞᱩᱭᱟ᱾ ᱱᱚᱣᱟ ᱨᱮᱱᱟᱜ ᱞᱟᱦᱟᱱᱛᱤ ᱥᱮᱸᱫᱽᱨᱟ ᱫᱚ ᱡᱚᱴᱤᱞ ᱮᱞᱜᱚᱨᱤᱫᱚᱢ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱠᱮᱥ ᱠᱚ ᱞᱚᱜᱚᱱ ᱥᱮᱸᱫᱽᱨᱟᱭᱟ᱾ AI ᱨᱮᱱᱟᱜ ᱥᱮᱞᱮᱫ ᱫᱚ ᱚᱯᱨᱟᱫᱷ ᱨᱟᱹᱯᱩᱫ ᱠᱚᱣᱟᱜ ᱡᱤᱞᱤᱧ ᱟᱨ ᱴᱷᱤᱠ ᱵᱟᱲᱦᱟᱣᱟ᱾ BLTN ᱨᱮᱱᱟᱜ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱟᱨ ᱠᱟᱹᱢᱤᱭᱟᱹ ᱰᱤᱡᱟᱭᱤᱱ ᱫᱚ ᱥᱚᱡᱷᱮ ᱩᱯᱟᱹᱭ ᱮᱢᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱠᱟᱹᱱᱩᱱ ᱯᱟᱞᱚᱱ ᱫᱚᱯᱛᱚᱨ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱢᱟᱨᱟᱝ ᱜᱚᱲᱚᱭᱟᱱ ᱠᱟᱱᱟ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Bltn ᱮᱟᱤ ᱜᱟᱯᱟᱞ ᱢᱚᱸᱪ ᱫᱚ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱱᱟᱣᱟ ᱵᱷᱟᱵᱱᱟ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Bltn ᱮᱟᱤ ᱜᱟᱯᱟᱞ ᱢᱚᱸᱪ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: BLTN is an AI-powered information-sharing platform for police officers. As officers upload crime data into BLTN, the AI looks for connections between them and intelligently alerts users. BLTN uses NLP and object recognition to look for clues that can unlock a case, especially for crimes that span multiple jurisdictions. Then, users connect through on-platform messaging and collaborative analysis tools. BLTN has successfully solved burglary, gang, and missing child cases across the U.S.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: Web dimensions are 1440 px * 1024 px. BLTN is a B2G SaaS product available on the Web and Mobile that is FBI CJIS certified. It is only available to licensed and authorized individuals in the law enforcement space.
ᱴᱮᱜ ᱠᱚ: Artificial Intelligence, Natural Language Processing, Public Safety, Collaboration, Information Sharing, Digital Infrastructure, Civic Technology, Crime Reduction
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: The platform is hosted on AWS and powered by NLP and AI. The NLP aids the search feature and the AI enables the recommendation and detection feature. An advanced Geographic Information System (GIS) technology is employed to enable the geo-visualization of crime data. The design was primarily carried out in Figma by using a design system and informed by quantitative and qualitative research with real users. The qualitative research was analyzed via open coding and affinity diagramming.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: The challenge is that BLTN is addressing a data heavy and complex space that requires advanced levels of security and visibility controls due to the nature of the law enforcement industry. BLTN also has a variety of features powered by advanced technology that need to be compatible with each other. It was challenging to ensure the data is easy to consume, easy to navigate, and easy to share while also applying technological advances to aid the users in the law enforcement space.
ᱜᱚᱵᱮᱥᱚᱱᱟ: Qualitative research was conducted on law enforcement officers that are users of BLTN with the objective of understanding user pain points and user needs. Semi-structured interviews and task analysis was conducted via online conferencing tools. The research data was analyzed through open coding and affinity diagramming. The software version with user insights applied has been selected as the central communications platform for the High Intensity Drug Trafficking Area (HIDTA) program.
ᱯᱨᱮᱨᱚᱱᱟ: More than 50% of crimes in the United States remain unsolved. This is primarily because very few inter-agency data sharing initiatives exist, so criminals can easily move between jurisdictions. Further, it is difficult to upload and share data as existing platforms require manual entry. Because of these disconnected and manual systems, detecting trends and connections between crimes is an incredibly complex problem given the size and scope of data uploaded daily.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: BLTN was published in May, 2022, and the design project for refining BLTN started in May, 2023 and finished in September, 2023 in the United States.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: Police users log in and can view posts from other users and agencies in their area. They can view these in a grid or geo-referenced manner. As officers post, an AI scans all media, text, and unstructured data for connections. Users are alerted to relevant links and put in contact with the relevant agencies/users via on-platform messaging. Users can link data through link controls and visualize linkages on the map or evidence board views helping to solve the crime.
ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ: Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park