Notice
BK21 Data Analytics Research Scholarships (~6/28)
2024.06.04 Views 127
Announcement of BK21 Data Analytics Research Scholarships for graduate school students
The Office of Digital Information will select the following scholars to conduct data analysis activities related to graduate school innovation.
We invite interested student researchers to actively participate.
1. Background
1) Need for graduate school innovation and competitiveness of the university through analysis of accumulated on-campus data
2) Need to create segmented support and education/research services for each student group through analysis of student activities
2. Data analysis topics (open topic)
* Analysis of free topics utilizing various analysis methodologies, including analysis of prior research to support graduate school innovation, analysis applying techniques such as machine learning/deep learning/natural language processing/statistics, etc.
* You can propose new topics necessary for graduate school innovation.
[Example 1] Examples of data analytics research topics
Analyzing the outbound (KU->other universities) domestic and international credit exchange status of KU graduate students
Analyzing graduation requirements to improve the dropout rate of fusion majors
Analyzing trends in graduate student employment rates and discovering cases
Analyzing student career design data for career coaching
Developing algorithms for recommending conference information
Analyzing LMS online learning
Development of an LLM-based academic policy chatbot
Analyzing data on scholarships and research grants
How to increase the graduate school recruitment rate and how to promote it, etc.
[Example 2] Example of data analysis research topics conducted in 2023
Graduate students' career exploration
Analysis of graduate school dropout
LLM-based lab/advisor recommendation service
GPT-4-based personalized career recommendations
3. Eligibility
Graduate students participating in BK21
(Completed research students can participate too)
4. Procedure and Schedule
1) Number of teams: 2~3 (Team composition is free, but a team of 3~4 members is recommended)
2) Submission of research project application
Submit via email (taeyoonkim@korea.ac.kr) by June 28th.
Use the form in Attachment 1, referring to the attached instructions.
* Discuss data availability in advance
* Portfolio submission is recommended if you have analytical work to share
3) Selection announcement: early July
4) Research period: July 2023 ~ September 2023 (about 3 months)
* Participate in data analysis community once a month to share research progress and feedback (about 2 hours per session)
5) Submission of research report: By the end of the study
* Data analysis report length: about 20 pages in A4 format
(Volume can be adjusted depending on the nature of the topic, source code submission is required)
6) Scholarship amount: Total of 20 million won (determined after consultation depending on the difficulty of the analysis topic and the total number of participants)
* Scholarships will be awarded in accordance with the Bylaws for Budgeting and Execution of the 4th Phase of the Brain Korea (BK)21 Project.
5. Precautions
1) Be sure to discuss with the Digital Information Office in advance whether it is possible to provide the data required for analysis.
2) In principle, data that can be provided will be anonymized.
6. Inquiries: taeyoonkim@korea.ac.kr / 02-3290-4186
The above schedule is subject to change depending on the progress of the project.
The Office of Digital Information will select the following scholars to conduct data analysis activities related to graduate school innovation.
We invite interested student researchers to actively participate.
1. Background
1) Need for graduate school innovation and competitiveness of the university through analysis of accumulated on-campus data
2) Need to create segmented support and education/research services for each student group through analysis of student activities
2. Data analysis topics (open topic)
* Analysis of free topics utilizing various analysis methodologies, including analysis of prior research to support graduate school innovation, analysis applying techniques such as machine learning/deep learning/natural language processing/statistics, etc.
* You can propose new topics necessary for graduate school innovation.
[Example 1] Examples of data analytics research topics
Analyzing the outbound (KU->other universities) domestic and international credit exchange status of KU graduate students
Analyzing graduation requirements to improve the dropout rate of fusion majors
Analyzing trends in graduate student employment rates and discovering cases
Analyzing student career design data for career coaching
Developing algorithms for recommending conference information
Analyzing LMS online learning
Development of an LLM-based academic policy chatbot
Analyzing data on scholarships and research grants
How to increase the graduate school recruitment rate and how to promote it, etc.
[Example 2] Example of data analysis research topics conducted in 2023
Graduate students' career exploration
Analysis of graduate school dropout
LLM-based lab/advisor recommendation service
GPT-4-based personalized career recommendations
3. Eligibility
Graduate students participating in BK21
(Completed research students can participate too)
4. Procedure and Schedule
1) Number of teams: 2~3 (Team composition is free, but a team of 3~4 members is recommended)
2) Submission of research project application
Submit via email (taeyoonkim@korea.ac.kr) by June 28th.
Use the form in Attachment 1, referring to the attached instructions.
* Discuss data availability in advance
* Portfolio submission is recommended if you have analytical work to share
3) Selection announcement: early July
4) Research period: July 2023 ~ September 2023 (about 3 months)
* Participate in data analysis community once a month to share research progress and feedback (about 2 hours per session)
5) Submission of research report: By the end of the study
* Data analysis report length: about 20 pages in A4 format
(Volume can be adjusted depending on the nature of the topic, source code submission is required)
6) Scholarship amount: Total of 20 million won (determined after consultation depending on the difficulty of the analysis topic and the total number of participants)
* Scholarships will be awarded in accordance with the Bylaws for Budgeting and Execution of the 4th Phase of the Brain Korea (BK)21 Project.
5. Precautions
1) Be sure to discuss with the Digital Information Office in advance whether it is possible to provide the data required for analysis.
2) In principle, data that can be provided will be anonymized.
6. Inquiries: taeyoonkim@korea.ac.kr / 02-3290-4186
The above schedule is subject to change depending on the progress of the project.
