The 1st KAIST AI Social Science
Research Boot Camp [ONLINE]
The KAIST AI & Big Data Social Science Research Group (AI-SSRG) hosts the AI Social Science Research Boot Camp ONLINE from Nov. 5th to Dec. 3rd, 2021.
This intensive boot camp introduces the leading research topics in the areas of Social Science Research on AI and Big Data. We invite graduate students and professors in MIS, Marketing, Finance, Innovation, and Economics, who are either considering or already doing research in these areas.
Call for Applicants
When: Every Friday 9:00 a.m. to 10:30 a.m., from Nov. 5th to Dec. 3rd, 2021
Where: Zoom link will be provided to selected participants
Fee: No fee to register
Nov. 5th [MIS]
Prof. Dokyun Lee, Boston Univ.
“InnoVAE: Generative AI for Understanding Patents and Innovation”
Nov. 12th [Marketing]
Prof. Xiao Liu, New York Univ.
“Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to Livestream Shopping”
Nov. 19th [Accounting & Finance]
Prof. Kevin Kim, KAIST
“The Interplay between Information Acquisition and Information Integration: Evidence from SEC 10-K/10-Q Filing Dates”
Nov. 26th [Innovation & Strategy]
Prof. Hyejin Youn, Northwestern Univ.
“Computational Social Science using Big Data”
Dec. 3rd [Economics]
Prof. Sukjin Han, Univ. of Bristol
“Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts”
Dr. Sun Kyoung Lee, Yale Univ.
“When Cities Grow: Transportation and Segregation in the Prewar US”
Prof. Jihee Kim, KAIST
“Teaching Machines to Measure Economic Activities from Satellite Images: Challenges and Solutions”
For whom: The boot camp is meant to promote research interest in the areas of Social Science Research on AI and Big Data. It is particularly well suited for M.S. and Ph.D. students in economics and management, who are either considering or already doing research in these areas. While the boot camp is primarily intended for graduate students, it is also suitable for post-docs and professors with interests in these areas of research.
Program: The program will be taught by leading professors in MIS, Marketing, Accounting & Finance, Innovation & Strategy, and Economics fields. Each session’s lecture and discussion will be led by those professors.
Application: Each applicant should send an email expressing her/his interest in participation containing the sessions to join and a Curriculum Vitae (only for graduate students) of the applicant.
The application deadline is Sunday, Oct. 31st
Acceptance decisions will be made by Nov. 1st. Accepted participants will be expected to join prepared by reading a syllabus of papers prior to the beginning of the AISSR-BC.
Applicants should submit the application to the KAIST AI-SSRG: firstname.lastname@example.org
For any questions concerning academic matters, please contact to the KAIST AI-SSRG: email@example.com
KAIST BTM AI & Big Data Social Science Research Group (AI-SSRG, BK21)
KAIST School of Business and Technology Management (BTM) / Graduate School of Innovation and Technology Management (I&TM)
KAIST Innovation Strategy and Policy Institute (ISPI)
National Research Foundation of Korea (NRF-I21SU7701002)
KAIST BTM AI & Big Data Social Science Research Group
KAIST Bldg. N22, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea