2. Business Areas

  3. Data Science

Data Science

Pioneering Data Science in the Public Safety Sector

We are pioneering the public data science market, encompassing legal-tech, in collaboration with experts from domestic universities and law enforcement investigative information analysis agencies.

Key Businesses

UniSoul Friends (USF) Data Science engages in the following key business areas:

#01

R&D in Police Technology

We conduct advanced research and development aimed at enhancing police technology in Korea.

#02

Data Science Infrastructure Development

We design and build infrastructure for high-level data analytics, such as data lakes.

#03

Public-Private-Academic Collaborations

Through continuous exchange with major domestic universities (e.g., the Korean National Police University, Hallym University, Kangnam University) and the National Police Agency (including affiliated agencies), we align our research with the latest trends to provide comprehensive support.

Achievements

By harnessing cutting-edge data science technologies, we contribute to national security and public safety, and through ongoing R&D and academic-industry collaborations, we continue to break new ground in the field of data science.

1. R&D in Police Technology

(1) AI-Based Investigative Support R&D Project (4th year)

  • Established a criminal trial investigative records database for "fraud cases" through a committee composed of on-site investigators and data forensics specialists
  • Supported the creation of virtual scenarios to verify the effectiveness of the developed AI technology

(2) Joint Police Technology R&D Planning with Hallym University

  • Collaborated with Department of Forensic Information Science and Technology of Hallym University to prepare proposals for cybercrime-related R&D projects
  • Participated in the project for the Development of Integrated Analysis and Inference System for Cybercrime Investigative Leads
  • Conducted foundational research for the Development of Online Fraud Prevention Technology
  • Recruited cyber investigation experts to derive practical technology components

2. Data Science Infrastructure Development

(1) Data Platform Construction Project Utilizing a GitHub Approach

  • Devised a data platform to facilitate academic exchange in public safety data science among practitioners, researchers, and students
  • Planning to develop a Minimum Viable Product (MVP) data platform in GitHub-style and collect feedback

(2) Consulting and Building a Data Lake Infrastructure for R&D projects in University Hospitals

  • Provide consulting and infrastructure for data lakes focused on multi-omics and genome analysis
  • Offer customized consulting and implementation support to accommodate limited R&D budgets and further research goals