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SCHOOL OF ECONOMIC SCIENCES WSU JIKHAN JEONG

JIKHAN JEONG



EMPLOYMENT HISTORY


 Associate Research Fellow (Tenured): Business and Energy Economics

  • Carbon Disclosure Project (International NGO), Jun. 2011 – Aug. 2011

 Research Assistant (Internship): Research on Sustainable Management in 94 Firms In S. Korea

  • Green Cross International (International NGO), Dec. 2010 – Feb. 2011

 Research Assistant (Volunteer): Research On Energy Efficiency

 Researcher: Research on Li-Ion Rechargeable Battery Technology


EDUCATION


  • Washington State University, Aug. 2017 – July. 2021 

 Ph.D. in Economics (Passed Microeconomics Ph.D. Qualifying Exams with Distinction)

  • Korea Advanced Institute of Science and Technology, Mar. 2011 – Feb. 2013

 MSc. in Management Sciences Specialized in Quantitative Marketing

  • Sung Kyun Kwan University, Mar. 2002– Feb. 2010

 BS in Chemical Engineering

 Military Service in the South Korea Air Force, May. 2003 – Oct. 2005


RESEARCH FIELDS


  • Digital Economics, Digital Marketing, Marketing Analytics using AI and Big Data Analytics, Applied Microeconometrics, Fintech, and Energy Economics

JOB MARKET PAPER


Presented: 2020 American Economic Association, 2020 National Association for Business Economics (NABE) Tech Conference,  The Rocky Mountain Advanced Computing Consortium 2020, 

Suggested Citation (REPEC)

Jikhan Jeong (2020). Identifying Consumer Preferences from User-and Crowd-Generated Digital Footprints on Amazon. com by Leveraging Machine Learning and Natural Language Processing. Job Market Papers.

Academic Integrity and Code 

All original empirical results and code are saved as Jupyterlab Notebook for replicable study and academic integrity.

Sample code for users’ product level diversity Index calculation by using parallel-computin


PUBLISHED PAPERS IN PEER-REVIEWED JOURNALS


  • The Effect of Experienced Consumers’ Stated Concerns about Electric Vehicles on Willingness to Purchase [S3][M2], Journal of digital convergence (management section), Vol. 19. No. 6, pp. 143-162, 2021
  • The Effect of AI and Big Data on an Entry Firm: Game Theoretic Approach [S1][M5], Journal of digital convergence (management section)  Vol. 19. No. 7, pp. 95-111, 2021, 

WORKING PAPERS


  • Identifying Always the Same Raters in One-sided-Review System Using Big Data Analytics

Presented:  Rocky Mountain Advanced Computing Consortium 2021 poster competition (presented), 2022 AEA  (forthcoming),  First Workshop on Causal Inference & NLP at EMNLP 2021 (submitted)

  • Predicting the US Stock Market Risk in the Trading Beginning Hour by Using News in the After-Market Period 

Presented: The Rocky Mountain Advanced Computing Consortium 2019, The AI Korea 2019, the 23rd Annual Texas Finance Festival (submitted), DC Fintech Week 2021 (submitted)

  • Undercover purchase-verified and non-verified one-time reviewers Using Big Data Analytics (with prof. Love)
  • The effect of Increasing Block Pricing Reform on Consumer, Producer, and Carbon Emission, being revised before submitting

Presented: 2018 United States Association for Energy Economics (USAEE) Conference

  • Prediction of Individual Consumer Responses in Survey by Using Machine Learning  

WORKS IN PROGRESS


  • Covid-19, Privacy, and Consumer Perception
  • Lesson Learned from Shut-down of AI Chatbot Had the Persona of a Girl: Implication for Privacy, Gender Bias, and AI Rights 

 research fellowship from Science and Technology Policy Institute (STEPI), July 2021 

  • Marginal Effect of Interaction Term in Heterogeneous Nonlinear Model
  • Ordinal Deep Learning for Inference and Counterfactual Prediction
  • Real-Time Prediction of Power Demand
  • Covid-19, Mobility, and Power Demand

PUBLISHED RESEARCH REPORTS AND LETTERS



SELECTED CONFERENCES


  • 2021 Rocky Mountain Advanced Computing Consortium   

ž Identifying Always the Same Raters in One-sided-Review System Using Big Data Analytics, 2021, presented (poster)

  • 2021 American Economic Association (AEA) , Jan 2021, presented (poster)

ž Identifying Consumer Preferences from User-Generated Content on Amazon.com by Leveraging Machine Learning 

  • 2020 National Association for Business Economics (NABE) Tech conference, Nov 2020, presented (poster)

ž Identifying Consumer Preferences from User- and Crowd- Generated Digital Footprints on Amazon.com by Leveraging Machine Learning and Natural Language Processing

  • 2020 WSU SES Seminar, Oct 2020, presented

ž Identifying Consumer Preferences from User- and Crowd- Generated Digital Footprints on Amazon.com by Leveraging Machine Learning and Natural Language Processing

  • The Rocky Mountain Advanced Computing Consortium 2020, May. 2020. presented (Poster)

ž Identifying Consumer Preferences for Smart and Non-Smart Thermostats from User-Generated Content on Amazon.com

  • 2019 Python conference (Pycon) Korea, Aug. 2019, presented

ž Ensemble Model and Bayesian Hyperparameter Tunning for Classification, Presented (Light Talk)

  • Korea AI Society The AI Korea 2019 Conference, July. 2019

ž Predicting Stock Price Index Movement From News Headline Data, Presented (Poster)

  • The Rocky Mountain Advanced Computing Consortium 2019, May. 2019

ž Predicting Stock Price Index Movement from News Headline Data, presented (Poster)

  • 36th United States Association for Energy Economics (USAEE) North American Conference, Sep. 2018

ž The Effect of a Monopoly Increasing Block Pricing Reform on Electricity Demand, presented (Poster)

  • United States Association for Energy Economics (USAEE) North American Conference, Oct. 2016

ž The Effect of Falling Oil Prices on South Korean Imported LNG price for Power Generation, presented

  • International Association for Energy Economics (IAEE) Antalya Conference, May 2015

ž Who among South Korean User Groups Wants to Buy Electric Vehicles? presented

  • Industry Electricity Commission Fall Conference, Oct. 2014

ž Big-data-Centered Demand Side Management Business Model, presented

  • Conference of Electricity Power Supply Industry (CEPSI), Oct. 2014

ž What is the Winning Strategy for Global Utility Companies in the Green Era?, author

  • International Association for Energy Economics (IAEE) Asia Conference, Sep. 2014

ž Relationship between Attitude and Actual Behavior in Electricity Conservation in S.Korea, presented 

  • International Conference on Social Science and Management (ICSSAM), May 2014

ž Does Clean Energy Cause Economic Growth? presented

  • Korea Academy of International Business Spring Conference, Apr. 2014

ž Energy Transitions in Germany, presented


RESEARCH PROJECTS


  • Research Assistant, WSU SES, 2019 Summer (PI: Prof. A. love)

 Design a Smart Thermostats algorithm

  • Research Assistant, WSU SES, 2019 Spring (PI: Prof. Vicki McCracken)

 Design the Financial Statement for Small and Middle Enterprise

  • Research Assistant, WSU SES, 2017 Fall – 2018 Winter (PI: Prof. Yoder)

 Collecting data related to Hurricane IRMA

  • (Project) Improving Efficiency in Regulated Electricity Market, Dec. 2015 – Aug. 2016

 Served as a Project Manager (Advisor: Prof. JongSoon Kim, Prof. Dong-Gi Min, Prof. Young Bum Lee)

  • (Project) Customers’ Stated Preference for Energy Mix in South Korea, Aug. 2015 – May. 2016

 Served as a Project Manager (Advisor: Prof. Jeong Hwan Bae)

  • (Project) Designing a Bilateral Contract in South Korea, Mar. 2015 – Dec. 2015

 Served as a Task Force Member

  • (Project) Designing a Bilateral Contract and Capacity Market in South Korea, Mar. 2014 – Feb. 2015

 Served as a Research Project Manager (Advisor: Prof. Dae-Woo Kim, Prof. Jong-Ho Kim)


SEMINAR AND FORUMS


  • 2021 Summer School on Data & Algorithms for Science, Technology, and Innovation Studies (invited as an audience), Sep 22-24, 2021
  • 2021 National Bureau of Economic Research (NBER) Digitization (invited as an audience), March 19, 2021
  • 2021 National Bureau of Economic Research (NBER) Digitization Tutorial (selected), March 17-18, 2021
  • 2021 Zurich NLP meet up, attend as an audience to learn current research trend in NLP, Spring
  • 2020 NIPS, attend as an audience to learn research trend in NLP, Causality, and Deep Reinforcement Learning
  • 2020 MIT CODE, attend as an audience to learn digital experiment
  • 2020 DEEP MATH, attend as an audience to learn math research trend for deep learning
  • 2020 The Gary Chamberlain Online Seminar in Econometrics, attend as an audience to learn RDD and ML for econometrics
  • 2020 Applied Machine Learning, Economics, and Data Science seminar, attend as  an audience to learn application of ML for econometrics
  • 2020 AI for Economist Seminar, attend as an audience to learn application of AI for economics 
  • 2020 Virtual Quant Marketing Seminar, attend as an audience to learn application of machine learning for digital marketing
  • 2020 The International Methods Colloquium, attend as an audience to learn research methods in social science in Spring
  • 2020 Digital Economy Network Seminar, attended as audience in Spring 
  • 2020 Standford Human-Centered Artificial Intelligence COVID-19 and AI: A Virtual Conference, attend
  • 2019 Korea Economic Review International Conference, attended
  • 2019 Korea AI Society Machine Learning Summer School, attended
  • 2019 AI Expo Korea, July. 2019, attended
  • Korea Advanced Institute of Science & Technology AI Festival, July. 2019, attended
  • Daewoong Inc. Smart Health Care Conference. July, 2019, attended
  • 2019 Washington State University Sustainability Fair 2019, presented

ž Predicting Experienced Consumers’ Stated Preference

  • 2019 WSU School of Economics Science Poster Competition, presented

ž Predicting Experienced Consumers’ Stated Willingness to Buy Electric Vehicles

  • R Working Group Research Profile Seminar, Mar. 2019, presented

ž Time Series Analysis Basic to Bayesian Structural Time Series

  • Python Working Group, Feb. 2019, presented

ž Deep Learning from Scratch to Practice

  • Python Working Group Research Profile Seminar, Nov. 2018, presented

ž Discrete Choice Model: Logistic Regression, Random Forest, and Ada – Boosting

  • WSU Half-Backed Seminar 2, Aug. 2018, presented

ž How to Apply Machine Learning for Prediction of Customers’ Stated Preference

  • WSU Half-Backed Seminar 1, Aug. 2018, presented

ž How to Apply Machine Learning for Causal Inference

  • 2018 Berkeley/Sloan Summer School in Environmental and Energy Economics, Aug. 2018, attended
  • WSU School of Economic Sciences Poster Competition Mar. 2018, presented

ž Effects of Falling Oil Price on Korean LNG Price for Power Generation

  • International Association for Energy Economics Summer School, July. 2017, attended
  • National Research Foundation of Korea, SSK Networking, April 2017

ž Fourth Industrial Innovation Section Panel

  • Korea Ministry of Trade, Industry & Energy Seminar, Nov. 2015

ž The Status of Self-Generation Incentive Program and Net Energy Metering in California, presented

  • Harvard Project for Asian and International Relationships, Aug. 2013, attended

ž Selected South Korean delegation of the energy panel section

  • KAIST Management Science Brown Bag Seminar, April. 2012

ž Nuclear Energy Adoption” (Research Profile), “Survival Analysis based on COX (Tutorial), presented

  • 2012 Economic Development Cooperation Fund Winter Camp, Jan. 2012, attended
  • 2012 ASEAN Korea Frontier Forum, Sep. 2012, attended

ž Selected South Korean delegation

  • Harvard Project for Asian and International Relationships, Aug. 2011, attended

ž Selected South Korean delegation of energy panel section

  • 2006 Youth Camp for ASIA’S Future, Aug. 2006, attended

ž Selected South Korean delegation

  • 2005 Korea-ASEAN Youth Camp, Dec. 2005, attended

ž Selected South Korean delegation


GRANTS AND HONORS


  • 2021 The Science and Technology Policy Institute (STEPI) Fellowship, July 2021
  • 2021 The Robert E. Berney Endowed Fellowship, Jan. 2021
  • 2020 NABE Tech conference poster competition, one complimentary full registration to the conference, Oct. 2020 
  • Honorable Mention Award in The AI Korea 2019 Conference Poster Competition,, $50 (approx.), July. 2019
  • 2019 WSU GPSA Travel and Registration Grant for Summer and Fall, $420 (approx.), 2019
  • The Rocky Mountain Advanced Computing Consortium High-Performance Computing Scholarship, $ 500, 2019
  • 2018 WSU GPSA Travel and Registration Grant for Summer and Fall, $1,100 (approx.), 2018
  • 2018 Alaska Airlines Travel Award, $2,200 (approx.) 2018
  • Honorable Mention Award in WSU School of Economic Sciences Poster Competition, WSU, $100 (approx.), 2018
  • Korea Electric Power Corporation CEO Award for Outstanding Researcher, 2015
  • Korea Electric Power Corporation Business Development Challenge Award, 2015

 Big data for New Demand Side Consumer Services, presented

  • Korea Advanced Institute of Science and Technology Fellowship, Mar. 2011 – Feb. 2013
  • Korea Finance Cooperation Research Paper Competition, $3,000, Second Place Award, 2012

 Analyzing the effect of venture business policy financing through dynamic panel analysis, presented

  • Korea International Cooperation Agency Green ODA Presentation Competition, Second Place Award, 2012
  • Accenture Idea Competition, $1,400 (approx.), Second Place Award, 2011

 Managing diversity to improve business performance: centering around gender and cultural issues, presented

  • KOREA Institute of Energy Research Idea Competition, $200 (approx.), Second Place Award, 2010
  • South Chungcheng Province Policy Suggestion IDEA Challenge, $300 (approx.), Governor Award, 2009
  • Japan KoBe University Summer Program Fellowship, Aug 2009
  • SKKU English Presentation Competition, Best Award, 2008
  • Korea Air-force Outstanding Military Police Award, 2004

TEACHING EXPERIENCE


  • Instructor, WSU

ECONS 404 Economics for Managers, Summer 2021 (Online)

ECONS 426 Transportation Economics & Supply Chain Analysis, Spring 2021 (Online). Teaching Evaluation (4.3/5.0)

EconS 352 Ph.D. Business Management Economics, Fall 2020 (Online). Teaching Evaluation (4.1/5.0)

  • Teaching Assistant, WSU

EconS 511 Ph.D. Econometrics 1, Spring 2020. Teaching Evaluation (4.0/5.0)

EconS 594 Ph.D. Theory Of Industrial Organization, Fall 2019

 EconS 506 Ph.D. Mathematics Primer for Economists, Fall 2019

  • Instructor, Korea Power Economics Summer School, June 2016
  • Undergraduate Research Program Teaching Assistant, KAIST, 2011-2012
  • Teaching Assistant, KAIST

 Entrepreneurship and Venture, Fall 2012

 Knowledge Service Engineering, Fall 2011-Spring 2012


EXTRACURRICULAR ACTIVITIES


  • WSU Kamiak High-Performance Computer Club, 2018 Fall – 2020 Spring
  • WSU Python Working Group, 2018 Fall – 2020 Spring
  • WSU R Working Group, 2018 Fall – 2020 Spring
  • KAIST Quantitative Analysis for Business Economics Lab Leader, 2011-2012

    Presented and discussed Quantitative Theory and Econometrics (Advisor: Prof. Minki Kim)

  • Tae Kwon Maru Team Member, 2012 – 2014
  • KAIST Tae Kwon Do Team Member, 2011-2012
  • Sung Kyun Kwan University Mixed Martial Art Team Member, 2002-2009

COMPUTER SKILLS


  • Kamiak HPC User, Python (Pytorch, Keras (Tensorflow), Sk-learn, Dask, Sympy), R, STATA, Gauss, EViews, Matlab, Linux(Ubuntu), Text editor (Vim), Latex (LyX)
  • Wharton Research Data Services (WRDS), Bloomberg Terminal (Bloomberg Market Concept Certification), Fnguide

LANGUAGE


  • Native Korean, Fluent in English, Intermediate in Japanese, Beginner in Chinese

REFERENCE



Dr. H. Alan Love

(Committee Chair)

School of Economic Sciences

Washington State University

Email: a.love@wsu.edu

Dr. Jinhui Bai

(Committee Member)

School of Economic Sciences

Washington State University

Email: jinhui.bai@wsu.edu

Dr. Bidisha Mandal

(Committee Member)

School of Economic Sciences

Washington State University

Email: bmandal@wsu.edu

Contact Info:

E-mail: Jikhan.Jeong@wsu.edu

Office Location:

313 Hulbert Hall
School of Economic Sciences
Washington State University
Pullman, WA 99164-6210