{"id":32,"date":"2022-05-31T10:24:35","date_gmt":"2022-05-31T17:24:35","guid":{"rendered":"https:\/\/blogs.ubc.ca\/analyticsailab\/?page_id=32"},"modified":"2026-08-06T21:59:15","modified_gmt":"2026-08-07T04:59:15","slug":"conference-presentations","status":"publish","type":"page","link":"https:\/\/blogs.ubc.ca\/analyticsailab\/conference-presentations\/","title":{"rendered":"Presentations"},"content":{"rendered":"

Our research group regularly presents papers at major IS conferences (e.g., DS, INFORMS, CIST, ICIS, WITS, KrAIS, and HICSS) and research seminars. Presenters are bolded<\/strong> in the following list.<\/p>\n

Scheduling<\/strong><\/p>\n

    \n
  1. [invited talk]<\/span> <\/strong>Gene Moo Lee<\/strong> (2027). TBD, University of Minnesota<\/strong>, TBD, Minneapolis, MN.<\/em><\/li>\n
  2. [invited talk]<\/span> <\/strong>Gene Moo Lee<\/strong> (2027). TBD, Nanyang Technological University<\/strong>, TBD, Singapore.<\/em><\/li>\n<\/ol>\n

    2027<\/strong><\/p>\n

      \n
    1. (scheduled)<\/em> Ryan Monsurate<\/a>, Gene Moo Lee<\/strong> (2027). AI Advantage: AI Strategies for Business Leaders<\/a> (UBC Sauder Professional Growth<\/a>), Nov 15-16, 2027, Vancouver, BC<\/em>.<\/li>\n
    2. (scheduled) <\/em>[invited talk]<\/span> <\/strong>Gene Moo Lee<\/strong> (2027). TBD, Tilburg University<\/strong>, April 20, 2027, Tilburg, The Netherlands.<\/em><\/li>\n
    3. (scheduled)<\/em> Ryan Monsurate<\/a>, Gene Moo Lee<\/strong> (2027). AI Advantage: AI Strategies for Business Leaders<\/a> (UBC Sauder Professional Growth<\/a>), April 7-8, 2027, Vancouver, BC<\/em>.<\/li>\n<\/ol>\n

      2026<\/strong><\/p>\n

        \n
      1. (scheduled)<\/em> Ryan Monsurate<\/a>, Gene Moo Lee<\/strong> (2026). AI Advantage: AI Strategies for Business Leaders<\/a> (UBC Sauder Professional Growth<\/a>), Nov 16-17, 2026, Vancouver, BC<\/em>.<\/li>\n
      2. (scheduled) <\/em>Xiaoke Zhang<\/strong>, Myunghwan Lee, Mi Zhou, and Gene Moo Lee (2026). Large Language Models in the Institutional Press: Investigating the Effects on Information Sourcing and News Production. INFORMS<\/strong> Annual Meeting, Nov 2026, San Francisco, CA<\/em>.<\/li>\n
      3. (scheduled) <\/em>Gene Moo Lee<\/strong> (2026). Large Language Models in the Institutional Press: Investigating the Effects on Information Sourcing and News Production. University of Colorado Boulder<\/strong>, October 9, 2026, Boulder, CO<\/em>.<\/li>\n
      4. (scheduled)<\/em> Gene Moo Lee<\/strong> (2026). AI Strategies and Leadership, Factors Group of Nutritional Companies<\/a>,<\/em> Sept 24, 2026, Coquitlam, BC<\/em>.<\/li>\n
      5. (scheduled)<\/em> Gene Moo Lee<\/strong> (2026). Christianity in the AI Era, Korean Trinity Presbyterian Church<\/em><\/a> Young Adult Retreat<\/em>,\u00a0Sept 5, 2026, Vancouver, BC<\/em>.<\/li>\n
      6. (scheduled)<\/em> [guest lecture] <\/span><\/strong>Gene Moo Lee<\/strong> (2026). Generative AI and Multimodal Analytics for Business Innovation, AKCSE<\/a> x KDD<\/a>\u00a0Conference, \u00a0August 29, 2026, Vancouver, BC<\/em>.<\/li>\n
      7. (scheduled)<\/em> [guest lecture] <\/span><\/strong>Gene Moo Lee<\/strong> (2026). Masterclass: AI and Machine Learning in Data Analytics<\/a>, UBC Sauder School of Business, August 27, 2026, Vancouver, BC<\/em>.<\/li>\n
      8. (scheduled)<\/em> Gene Moo Lee<\/strong> (2026). Sauder AI Showcase, UBC Sauder School of Business, August 26, 2026, Vancouver, BC<\/em>.<\/li>\n
      9. Angela Eunyoung Kwon, Jaecheol Park<\/strong>, Gene Moo Lee (2026). Architectural Innovation, Organizational Restructuring, and the Role of AI: Evidence from the Rise of Antibody-Drug Conjugates, Singapore IS Research Inter-University Symposium (SIRIUS)<\/em><\/a>, July 15, 2026, Singapore.<\/em><\/li>\n
      10. Xiaoke Zhang<\/strong>, Angela Kwon<\/strong>, Mi Zhou, Gene Moo Lee<\/strong> (2026). Designing for Designers: A Multimodal Hypergraph RAG System To Enhance Automotive Design, Hyundai Motor Group Namyang R&D Center<\/a>,<\/strong><\/em> July 8, 2026, Hwaseong, Korea<\/em>.<\/li>\n
      11. Xiaoke Zhang<\/strong>, Myunghwan Lee, Mi Zhou, Gene Moo Lee (2026). Large Language Models in the Institutional Press: Investigating the Effects on Information Sourcing and News Production. <\/span>KAIST Business School, July 6, 2026, Seoul, Korea<\/em>.<\/li>\n
      12. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2026). Architectural Innovation, Organizational Restructuring, and the Role of AI: Evidence from the Rise of Antibody-Drug Conjugates, KrAIS Summer Workshop<\/a><\/strong>, July 3, 2026, Seoul, Korea<\/em>.<\/li>\n
      13. Angela Eunyoung Kwon<\/strong>, Gene Moo Lee (2026). Leaders in the Age of AI:\u000bOrganizational Restructuring from an Academic Perspective, Samsung R&D Canada (SRCA)<\/strong><\/a>, June 16, 2026, Vancouver, BC.<\/em><\/li>\n
      14. Gene Moo Lee<\/strong> (2026). Leading in the Age of AI: Fundamentals, Research Evidence, and Framework, Workday<\/a><\/strong> People Leaders Day, June 10, 2026, Vancouver, BC<\/em>.<\/li>\n
      15. Xiaoke Zhang<\/strong>, Myunghwan Lee, Mi Zhou, Gene Moo Lee (2026). Large Language Models in the Institutional Press: Investigating the Effects on Information Sourcing and News Production. <\/span>Spring Workshop on Information Systems (SWIS)<\/strong><\/a>, May 29, 2026, Vancouver, BC.<\/em><\/li>\n
      16. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2026). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types<\/span>. <\/span>Spring Workshop on Information Systems (SWIS)<\/strong><\/a>, May 29, 2026, Vancouver, BC.<\/em><\/li>\n
      17. Angela Eunyoung Kwon<\/strong>, Gene Moo Lee (2026). AI Sovereignty and Governance in B2B Context: A Cross-Jurisdiction Case Study, Samsung R&D Canada (SRCA)<\/strong><\/a>, May 14, 2026, Vancouver, BC.<\/em><\/li>\n
      18. [invited talk]<\/span> Gene Moo Lee<\/strong> (2026). AI in our Work and Life. U-DAY, Sauder School of Business, University of British Columbia<\/strong>, April 30, 2026, Vancouver, BC.<\/em><\/li>\n
      19. Angela Eunyoung Kwon, Jaecheol Park<\/strong>, Gene Moo Lee (2026). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types<\/span>. George Washington University, April<\/em><\/span> 29, 2026, DC.<\/em><\/li>\n
      20. Gene Moo Lee<\/strong> (2026). Opening and Closing Remarks, Korean Professors in British Columbia (KPBC) Spring 2026 Conference<\/a>, Simon Fraser University, April 17, 2026, Vancouver, BC.<\/em><\/li>\n
      21. [invited talk]<\/span> Gene Moo Lee<\/strong> (2026). AI and Christianity. Korean Trinity Presbyterian Church<\/em><\/a>, April 4, 2026, Vancouver, BC<\/em>.<\/li>\n
      22. [invited talk]<\/span> Gene Moo Lee<\/strong> (2026). Large Language Models in the Institutional Press: Investigating the Effects on News Production and Consumption. Arizona State University<\/strong>, March 6, 2026, Phoenix, AZ.<\/em><\/li>\n
      23. Angela Eunyoung Kwon<\/strong>, Gene Moo Lee (2026). Frontline IT Workers and AI:\u000bThe Case of MDM\/UEM in the B2B Context. Samsung R&D Canada (SRCA)<\/strong><\/a>, Feb 19, 2026, Vancouver, BC.<\/em><\/li>\n
      24. Gene Moo Lee<\/strong>, Sang Pil Han, Huaxia Rui (2026). Introduction to the Minitrack on Technology and Economics in AI-assisted Markets<\/a><\/strong>, Hawaii International Conference on System Sciences (HICSS 2026<\/strong>), Jan 9, 2026, Maui, Hawaii.<\/em><\/li>\n<\/ol>\n

        2025 (43 presentations; 262 total)<\/strong><\/p>\n

          \n
        1. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2025). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types. Workshop on Information Systems and Economics (WISE 2025), Dec 18-19, 2025, Nashville, TN<\/em>.<\/li>\n
        2. Gene Moo Lee <\/strong>(2025). Panel Discussion: AI Transformation of the Healthcare and Media Industries: Opportunities and Challenges (with Soumya Sen, Tae Hyun Hwang, JR Allen, Amy Kauppila, David Hughes), Workshop on Information Technologies and Systems (WITS 2025)<\/a>,\u00a0 <\/em>Dec 18-19, 2025, Nashville, TN<\/em>.<\/li>\n
        3. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2025). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types. KrAIS Research Workshop, Dec 17, 2025, Nashville, TN<\/em>.<\/li>\n
        4. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2025). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types. UBC Sauder MIS Seminar Series<\/a>, Dec 12, 2025, Vancouver, BC.<\/em><\/li>\n
        5. Gene Moo Lee<\/strong> (2025). Opening and Closing Remarks, Korean Professors in British Columbia (KPBC) Fall 2025 Conference<\/a>, University of British Columbia, December 5, 2025, Vancouver, BC.<\/em><\/li>\n
        6. [guest lecture] <\/span>Gene Moo Lee<\/strong> (2025). Career Talk: Being a Professor in the AI Era, Incheon National University<\/strong>, Nov 19, 2025, Incheon, Korea<\/em>.<\/li>\n
        7. [guest lecture] <\/span>Gene Moo Lee<\/strong> (2025). Career Talk: AI and Business, Prince of Wales Secondary School, Nov 18, 2025, Vancouver, BC<\/em>.<\/li>\n
        8. [invited talk]<\/span> Gene Moo Lee<\/strong> (2025). Large Language Models in the Institutional Press: Investigating the Effects on News Production and Consumption, University of Illinois Urbana-Champaign<\/strong>, Nov 7, 2025, Champaign, IL<\/em>.<\/li>\n
        9. Xiaoke Zhang<\/strong>, Angela Kwon, Mi Zhou, Gene Moo Lee (2025). Designing for Designers:\u000bA Multimodal Hypergraph RAG System To Enhance Automotive Design. INFORMS Annual Meeting (INFORMS 2025<\/strong>), Oct 29, 2025, Atlanta, GA.<\/em><\/li>\n
        10. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2025). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types. INFORMS Annual Meeting (INFORMS 2025<\/strong>), Oct 29, 2025, Atlanta, GA.<\/em><\/li>\n
        11. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2025). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types. Conference on Information Systems and Technologies (CIST 2025<\/strong>), Oct 25-26, 2025, Atlanta, GA.<\/em><\/li>\n
        12. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance, INFORMS ISS-ISR Paper Development Workshop (ISR-PDW 2025<\/strong>), Oct 24, 2025, Atlanta, GA<\/em>.<\/li>\n
        13. Jiyong Park, Myunghwan Lee, Yoonseock Son<\/strong>, Gene Moo Lee (2025). From Resistance to Collaboration: Labor Unions, AI Investment, and Firm Value, INFORMS ISS-ISR Paper Development Workshop (ISR-PDW 2025<\/strong>), Oct 24, 2025, Atlanta, GA<\/em>.<\/li>\n
        14. [invited talk]<\/span> Gene Moo Lee<\/strong> (2025). Fireside Chat: AI in Business, Richards Buell Sutton LLP<\/strong>, Oct 16, 2025, Vancouver, BC<\/em>.<\/li>\n
        15. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance, Korea University, Oct 17, 2025, Seoul, Korea.<\/em><\/li>\n
        16. [invited talk]<\/span> Gene Moo Lee<\/strong> (2025). Service Robots and Workforce Transformation: Evidence from Restaurant Operations, Kyung Hee University Hotel and Tourism Management<\/strong>, Oct 15, 2025, Seoul, Korea<\/em>.<\/li>\n
        17. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance, Yonsei University, Oct 13, 2025, Seoul, Korea<\/em>.<\/li>\n
        18. Angela Eunyoung Kwon<\/strong>, Gene Moo Lee (2025). Frontline Operations and AI:\u000bThe Case of Pharmacy Supply Chain, Samsung R&D Canada (SRCA)<\/strong><\/a>, Oct 9, 2025, Vancouver, BC.<\/em><\/li>\n
        19. [invited talk] <\/span>Gene Moo Lee<\/strong> (2025). RHL Opening Week Panel: Generative AI: Building Futures in Business and Careers (with Chunhua Wu, Darrell Kopke), UBC Sauder School of Business, August 28, 2025, Vancouver, BC<\/em>.<\/li>\n
        20. [guest lecture] <\/span><\/strong>Gene Moo Lee<\/strong> (2025). Masterclass: The Impact of AI and Machine Learning on Data Analytics<\/a>, UBC Sauder School of Business, \u00a0August 26, 2025, Vancouver, BC<\/em>.<\/li>\n
        21. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance, INFORMS International Meeting, July 23, 2025, Singapore<\/em>.<\/li>\n
        22. Xiaoke Zhang, Myunghwan Lee<\/strong>, Mi Zhou, Gene Moo Lee (2025). Large Language Models in the Institutional Press: Investigating the Effects on News Production and Consumption<\/a>, Joint University Summer Workshop on Information Systems (JUSWIS 2025)<\/strong>, July 18, 2025, Hong Kong, China<\/em>.<\/li>\n
        23. Angela Eunyoung Kwon, Jaecheol Park<\/strong>, Gene Moo Lee (2025). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types, NUS\u2013NTU\u2013SMU Joint Research Workshop, July 2, 2025, Singapore<\/em>.<\/li>\n
        24. Angela Eunyoung Kwon<\/strong>, Jaecheol Park, Gene Moo Lee (2025). How Does AI Change Drug Development? Evidence from Clinical Trial Phases and Drug Types. KrAIS Summer Workshop, July 1, 2025, Busan, Korea.<\/em><\/li>\n
        25. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance, KAIST Business School, June 26, 2025, Seoul, Korea<\/em>.<\/li>\n
        26. [guest lecture] <\/span><\/strong>Gene Moo Lee<\/strong> (2025). AI in Business: From Strategy to Practice (Session 2: Case Studies), Samsung R&D Canada (SRCA)<\/a><\/em>, \u00a0June 17, 2025, Vancouver, BC<\/em>.<\/li>\n
        27. [guest lecture] <\/span>Gene Moo Lee<\/strong> (2025). AI in Business: From Strategy to Practice (Session 1: Overview), Samsung R&D Canada (SRCA)<\/a><\/em>, \u00a0June 16, 2025, Vancouver, BC<\/em>.<\/li>\n
        28. [guest lecture] <\/span>Gene Moo Lee<\/strong> (2025). Panel Discussion: Generative AI and Creativity, UBC Creativity (BA 562), June 11, 2025, Vancouver, BC<\/em>.<\/li>\n
        29. Gene Moo Lee<\/strong> (2025). Reflection: IS Research, Teaching & Mentoring, Impact of Information Systems Research: In honor of Dr. Andy Whinston<\/strong><\/em>, May 24, 2025, Austin, TX<\/em>.<\/li>\n
        30. Jaecheol Park, Myunghwan Lee, J. Frank Li<\/strong>, Gene Moo Lee (2025). Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance, Wharton’s AI and the Future of Work Conference, May 21-22, 2025, Philadelphia, PA<\/em>.<\/li>\n
        31. Gene Moo Lee<\/strong> (2025). Opening Remarks, Korean Professors in British Columbia (KPBC) Spring 2025 Conference<\/a>, Simon Fraser University, April 11, 2025, Burnaby, BC.<\/em><\/li>\n
        32. [degree exam] <\/span>Jaecheol Park<\/strong> (2025). Ph.D. Defence: Strategic Roles of AI and Mobile Management on Performance: Evidence from US Public Firms<\/a>, Final Doctoral Exam, U<\/em>BC Sauder School of Business<\/a>, May 6, 2025, Vancouver, BC<\/em>.<\/li>\n
        33. [invited talk] <\/span><\/strong>Gene Moo Lee<\/strong> (2025). Panel Discussion: The Digital Shift: AI Technology & Business Evolution (with Greg Vriend, Marc Low, Jordan Atkins), BMO AI Event, April 30, 2025, Vancouver, BC.<\/em><\/li>\n
        34. [invited talk] <\/span><\/strong>Gene Moo Lee<\/strong> (2025). Panel Discussion: Publication Strategies for DSS, ISR, and I&M, KMIS Junior Scholar Consortium (JSC), April 18, 2025, Seoul, Korea<\/em>.<\/li>\n
        35. Gene Moo Lee<\/strong> (2025). Opening Remark: KPBC Spring 2025 Conference<\/a>, Simon Fraser University, April 11, 2025, Burnaby, BC<\/em>.<\/li>\n
        36. Gene Moo Lee<\/strong> (2025). Career Talks: So, You’re Thinking About Being a Professor? Prince of Wales Secondary School, April 1, 2025, Vancouver, BC<\/em>.<\/li>\n
        37. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance from the Dynamic Capabilities Perspective<\/a>, Artificial Intelligence in Management Conference (AIM 2025), <\/strong>March 21-22, 2025, Marina Del Rey, CA.<\/em><\/li>\n
        38. [invited talk]<\/span> Gene Moo Lee<\/strong> (2025). AI Voice in Online Video Platforms: A Multimodal Perspective on Content Creation and Consumption, University of Delaware<\/strong>, March 7, 2025, Newark, DE<\/em>.<\/li>\n
        39. Gene Moo Lee<\/strong> (2025). Panel Discussion: MIS Journal Publishing Advice Workshop (with Izak Benbasat, Hasan Cavusoglu, Mi Zhou), UBC Sauder School of Business, Feb 28, 2025, Vancouver, BC<\/em>.<\/li>\n
        40. [invited talk]<\/span><\/strong> Gene Moo Lee<\/strong> (2025). AI and Small-Medium Businesses. Korean Businessmen’s Co-Op Association of British Columbia (KBABC; BC\ud55c\uc778\uc2e4\uc5c5\uc778\ud611\ud68c)<\/strong>, Feb 4, 2025, Burnaby, BC<\/em>.<\/li>\n
        41. [job talk] <\/span>Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance from the Dynamic Capabilities Perspective<\/a>, Nanyang Technological University<\/strong>, Jan 16-17, 2025, Singapore.<\/em><\/li>\n
        42. [job talk] <\/span>Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2025). Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance from the Dynamic Capabilities Perspective<\/a>, City University of Hong Kong<\/strong>, Jan 13-14, 2025, Hong Kong.<\/em><\/li>\n
        43. Gene Moo Lee<\/strong>, Sang-Pil Han, Sungho Park, Wonseok Oh (2025). Technology and AI in Emerging Markets (TAEM)<\/a>, Hawaii International Conference on System Sciences (HICSS 2025<\/strong>), Jan 10, 2025, Big Island, HI.<\/em><\/li>\n<\/ol>\n

          2024 (39 presentations; 219 total)<\/strong><\/p>\n

            \n
          1. \u00a0<\/span><\/strong>Jiyong Park, Myunghwan Lee<\/strong>, Yoon Son, Gene Moo Lee (2024) The New Industrial Revolution: AI, Labor Unions, and the Future of Work<\/a>, Workshop on Information Systems and Economics (WISE 2024<\/strong>), Dec 18-20, 2024, Bangkok, Thailand. <\/em>(Best Paper Award Nomination)<\/span><\/strong><\/li>\n
          2. Soonjae Kwon<\/strong>, Gene Moo Lee, Dongwon Lee, Sunghyuk Park (2024) Seeing the Unseen: The Effects of Implicit Representation in an Online Dating Platform, Workshop on Information Technologies and Systems (WITS 2024<\/strong>), Dec 18-20, 2024, Bangkok, Thailand<\/em>.<\/li>\n
          3. Jaecheol Park, Myunghwan Lee<\/strong>, J. Frank Li, Gene Moo Lee (2024) Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation<\/a>, KrAIS Research Workshop (KrAIS 2024<\/strong>), Dec 18, 2024, Bangkok, Thailand. <\/em>(Best Student Paper Award)<\/span><\/strong><\/li>\n
          4. Jiyong Park, Myunghwan Lee<\/strong>, Yoon Son, Gene Moo Lee (2024) The New Industrial Revolution: AI, Labor Unions, and the Future of Work<\/a>, Bright Internet Global Symposium (BIGS 2024<\/strong>), Dec 13, 2024, Bangkok, Thailand.<\/em><\/li>\n
          5. Xiaoke Zhang<\/strong>, Myunghwan Lee, Mi Zhou, Gene Moo Lee (2024) News Speed vs. Quality: Investigating Large Language Models\u2019 Impact on Modern Journalism<\/a>, Bright Internet Global Symposium (BIGS 2024<\/strong>), Dec 13, 2024, Bangkok, Thailand.<\/em><\/li>\n
          6. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation<\/a>, Bright Internet Global Symposium (BIGS 2024<\/strong>), Dec 13, 2024, Bangkok, Thailand. <\/em>(Best Paper Award)<\/span><\/strong><\/li>\n
          7. [invited talk] <\/span><\/strong>Gene Moo Lee<\/strong> (2024) Generative AI-based Framework to Improve Design Process Productivity, Hyundai Kia Motors Namyang R&D Center (\ud604\ub300\uae30\uc544\uc790\ub3d9\ucc28 \ub0a8\uc591\uc5f0\uad6c\uc18c)<\/strong>, Dec 10, 2024, Hwaseong, Korea<\/em>.
            \n<\/em><\/li>\n
          8. [job talk] <\/span>Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance from the Dynamic Capabilities Perspective<\/a>, University of Massachusetts Amherst<\/strong>, Nov 22, 2024, Amherst, MA.<\/em><\/li>\n
          9. [guest lecture]<\/span><\/strong> Gene Moo Lee<\/strong> (2024) AI in Business Research, PhD Seminar Course (Instructor: Chris Ryan), November 19, 2024, Vancouver, BC<\/em>.<\/li>\n
          10. [invited talk]<\/span> Gene Moo Lee<\/strong> (2024) Meet the Journal Editors, KMIS International Conference (\ud55c\uad6d\uacbd\uc601\uc815\ubcf4\ud559\ud68c), November 15, 2024, Seoul, Korea.<\/em><\/li>\n
          11. [invited talk]<\/span> Gene Moo Lee<\/strong> (2024) Unpacking the AI Transformation:\u00a0\u000bThe Impact of AI Strategies on Firm Performance \u000bfrom Dynamic Capabilities Perspective, Seoul National University (\uc11c\uc6b8\ub300\ud559\uad50)<\/strong>, November 13, 2024, Seoul, Korea.<\/em><\/li>\n
          12. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation<\/a>, INFORMS Annual Meeting, Oct 21, 2024, Seattle, WA.<\/em><\/li>\n
          13. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation<\/a>, Conference on Information Systems and Technology (CIST 2024<\/strong>), Oct 19-20, 2024, Seattle, WA.<\/em><\/li>\n
          14. Xiaoke Zhang<\/strong>, Myunghwan Lee, Mi Zhou, Gene Moo Lee (2024) News Speed vs. Quality: Investigating Large Language Models\u2019 Impact on Modern Journalism<\/a>, Conference on Information Systems and Technology (CIST 2024<\/strong>), Oct 19-20, 2024, Seattle, WA.<\/em><\/li>\n
          15. Jiyong Park<\/strong>, Myunghwan Lee, Yoon Son, Gene Moo Lee (2024) The New Industrial Revolution: AI, Labor Unions, and the Future of Work<\/a>, Conference on Information Systems and Technology (CIST 2024<\/strong>), Oct 19-20, 2024, Seattle, WA.<\/em><\/li>\n
          16. Xiaoke Zhang<\/strong>, Myunghwan Lee, Mi Zhou, Gene Moo Lee (2024) News Speed vs. Quality: Investigating Large Language Models\u2019 Impact on Modern Journalism<\/a>, INFORMS Workshop on Data Science (DS 2024<\/strong>), Oct 19, 2024, Seattle, WA.<\/em><\/li>\n
          17. Gene Moo Lee<\/strong> (2024) Mentor: INFORMS ISS Paper Development Workshop<\/a>, Oct 18, 2024, Seattle, WA.<\/li>\n
          18. [invited talk]<\/span> <\/strong>Gene Moo Lee<\/strong> (2024) AI and Business Innovation, World OKTA West Coast NextGen Entrepreneurship Conference, Oct 5, 2024, Vancouver, BC<\/em>.<\/li>\n
          19. BAIT 508 Panel Discussion “AI and Analytics in Business,” Panelists: Sungoh Hwang, Christy Wang, Sahil Jain, Moderator: Gene Moo Lee<\/strong>, UBC Sauder School of Business, Oct 4, 2024, Vancouver, BC<\/em>.<\/li>\n
          20. Gene Moo Lee<\/strong> (2024) Mentor: KSEA Scientists and Engineers Early Career Development<\/a>, Aug 20-21, 2024, San Francisco, CA<\/em>.<\/li>\n
          21. Jaecheol Park<\/strong>, Myunghwan Lee, Gene Moo Lee (2024) The Effect of Mobile Device Management on Work-from-home Productivity: Insights from US Public Firms<\/a>, Academy of Management Conference (AOM 2024<\/strong>), Aug 12, 2024, Chicago, IL.<\/em><\/li>\n
          22. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) “Unpacking AI Transformation: The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation,” New Data and Methods In Strategic Management Research<\/em>, Academy of Management Conference (AOM PDW 2024<\/strong>), Aug 11, 2024, Chicago, IL.<\/em><\/li>\n
          23. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) “Unpacking AI Transformation: The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation,” Value Creation, Value Capture, and Strategic Theories of Digitally Transformed Firms<\/em>, Academy of Management Conference (AOM PDW 2024<\/strong>), Aug 10, 2024, Chicago, IL.<\/em><\/li>\n
          24. Jaecheol Park<\/strong>, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) “Unpacking AI Transformation: The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation,” Harnessing Large Language Models (LLMs) for Management Research<\/em>, Academy of Management Conference (AOM PDW 2024<\/strong>), Aug 10, 2024, Chicago, IL.<\/em><\/li>\n
          25. Myunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David Seidel (2024) “Strategic Competitive Positioning: Unsupervised Operationalization of a Structural Hole-based Firm-specific Construct,” Seoul National University (\uc11c\uc6b8\ub300\ud559\uad50)<\/strong>, Seoul, Korea<\/em>.<\/li>\n
          26. Myunghwan Lee<\/strong>, Timo Sturm, Gene Moo Lee (2024). Exploring the Influence of Machine Learning on Organizational Learning: An Empirical Analysis of Publicly Listed Organizations<\/a>, KrAIS Summer Workshop<\/a>, July 12-13, 2024, Seoul, Korea<\/em>. Best Short Paper Runner-up Award<\/strong><\/span>.<\/span><\/li>\n
          27. Myunghwan Lee<\/strong>, Timo Sturm, Gene Moo Lee (2024). Exploring the Influence of Machine Learning on Organizational Learning: An Empirical Analysis of Publicly Listed Organizations<\/a>, Joint University Summer Workshop on Information Systems (JUSWIS 2024)<\/strong>, July 8, 2024, Hong Kong, China<\/em>.<\/li>\n
          28. [degree exam] <\/span>Jaecheol Park<\/strong> (2024) Ph.D. Proposal: Strategic Roles of AI and Mobile Management on Performance: Evidence from US Public Firms<\/a>, UBC Sauder School of Business<\/a>, June 17, 2024, Vancouver, BC<\/em>.<\/li>\n
          29. [guest lecture] <\/strong><\/span>Gene Moo Lee<\/strong>, AI and Creativity, UBC Creativity (BA 562), June 10 & 12, 2024, Vancouver, BC<\/em>.<\/li>\n
          30. [invited talk]<\/span> Gene Moo Lee<\/strong> (2024) AI in Business Education, UBC Sauder Faculty Retreat, May 16, 2024, Vancouver, BC<\/em>.<\/li>\n
          31. Xiaoke Zhang<\/strong>, Myunghwan Lee, Mi Zhou, Gene Moo Lee (2024) From Enthusiasm to Reality: Evaluating Generative AI\u2019s Role in Modern Journalism<\/a>, UBC Sauder MIS Seminar Series<\/a>, May 2, 2024, Vancouver, BC.<\/em><\/li>\n
          32. [invited talk]<\/span> Gene Moo Lee<\/strong> (2024) How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok<\/a>, University of Wisconsin Milwaukee<\/strong>, April 26, 20224, Milwaukee, WI<\/em>.<\/li>\n
          33. Jaecheol Park<\/strong>, Myunghwan Lee, Gene Moo Lee (2024) Unpacking the AI Blackbox:<\/s> The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation<\/a>, UBC Sauder MIS Seminar Series<\/a>, April 19, 2024, Vancouver, BC.<\/em><\/li>\n
          34. [invited talk] <\/strong><\/span>Gene Moo Lee<\/strong> (2024) Generative AI and Creator Economy: Investigating the Effects of AI-Generated Voice on Online Video Creation<\/a>, Santa Clara University<\/strong>, April 12, 2024, Santa Clara, CA<\/em>.<\/li>\n
          35. [invited talk] <\/strong><\/span>Gene Moo Lee<\/strong> (2024) Generative AI and Creator Economy: Investigating the Effects of AI-Generated Voice on Online Video Creation, Temple University<\/strong>, April 5, 2024, Philadelphia, PA<\/em>.<\/li>\n
          36. [guest lecture]<\/span> Gene Moo Lee<\/strong> (2024) AI and Business Analytics, Master Class @ QS Discover UGO\/RHL Recruiting Event<\/a>, March 16, 2024, Seoul, Korea<\/em>.<\/li>\n
          37. [invited talk] <\/span>Gene Moo Lee<\/strong> (2024) AI and Business Analytics, College of Computing and Informatics, Sungkyunkwan University (\uc131\uade0\uad00\ub300\ud559\uad50)<\/strong>, March 13, 2024, Suwon, Korea.<\/em><\/li>\n
          38. [degree exam] <\/span>Myunghwan Lee<\/strong> (2024) Ph.D. Defence: Three Essays on AI Strategies and Innovation<\/a>, Final Doctoral Exam<\/em><\/strong><\/a>, March 6, 2024, Vancouver, BC<\/em>.<\/li>\n
          39. Wonseok Oh, Gene Moo Lee, Sungho Park, Sang Pil Han<\/strong> (2024) Introduction to the Minitrack on Technology and Analytics in Emerging Markets (TAEM)<\/a>, Hawaii International Conference on System Sciences (HICSS 2024<\/strong>), Jan 10, 2025, Honolulu, HI.<\/em><\/li>\n<\/ol>\n

            2023 (31 presentations; 180 total)<\/strong><\/p>\n

              \n
            1. Jaecheol Park<\/strong>, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic,” Workshop on e-Business (WeB), Dec 9, 2023, Hyderabad, India<\/em>. Best Paper Award Nomination<\/strong><\/span>.<\/li>\n
            2. Jaecheol Park<\/strong>, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic,” Bright Internet Global Symposium (BIGS), Dec 8, 2023, Hyderabad, India (virtual).<\/em><\/li>\n
            3. [invited talk] <\/strong><\/span>Gene Moo Lee<\/strong> (2023) “AI and Business Analytics,”\u00a0KAIST<\/strong> BTM, Nov 2, 2023, Daejeon, Korea (virtual)<\/em>.<\/li>\n
            4. [invited talk] <\/strong><\/span>Gene Moo Lee<\/strong> (2023) “AI and Business Analytics,” Korean Professors in BC (KPBC) Conference, Oct 27, 2023, Vancouver, BC<\/em>.<\/li>\n
            5. [invited talk] <\/strong><\/span>Gene Moo Lee<\/strong> (2023) “AI and Business Analytics,” KOSEN<\/strong> Bridge Forum<\/a>, Oct 26, 2023, Daejeon, Korea (virtual)<\/em>.<\/li>\n
            6. Myunghwan Lee<\/strong>, Gene Moo Lee, Victor Cui (2023) “Disrupt with AI: The Impact of Deep Learning on Exploratory Innovation,” Conference on Information Systems and Technology (CIST 2023<\/strong>)<\/a>, Oct 14-15, 2023, Phoenix, AZ<\/em>.<\/li>\n
            7. Xiaoke Zhang<\/strong>, Mi Zhou, Gene Moo Lee (2023) “Generative AI and Creator Economy: Investigating the Effects of AI-Generated Voice on Online Video Creation,” Conference on Information Systems and Technology (CIST 2023<\/strong>)<\/a>, Oct 14-15, 2023, Phoenix, AZ<\/em>. Nominated for Best Student Paper Award<\/strong><\/span>.<\/li>\n
            8. Lynn Yuan<\/strong>, Hao Xia, Qiang Ye (2023) “From Spacing to Scheduling: The Effect of Seller Posting Time Strategies for Short Video Advertising,” <\/span>Conference on Information Systems and Technology (CIST 2023<\/strong>)<\/a>, Oct 14-15, 2023, Phoenix, AZ<\/em>.<\/li>\n
            9. [job talk]<\/span> Myunghwan Lee<\/strong>, Victor Cui, Gene Moo Lee (2023) “Disrupt with AI: The Impact of Deep Learning on Exploratory Innovation,” University of Texas at Arlington<\/strong>, Oct 10, 2023, Arlington, TX<\/em>.<\/li>\n
            10. [job talk]<\/span> Myunghwan Lee<\/strong>, Victor Cui, Gene Moo Lee (2023) “Disrupt with AI: The Impact of Deep Learning on Exploratory Innovation<\/a>,” Chinese University of Hong Kong, Oct 4, 2023, Hong Kong<\/em>.<\/li>\n
            11. [invited talk]<\/span> Gene Moo Lee<\/strong> (2023) “AI and Business Analytics<\/a>,” Rowe School of Business, Dalhousie University<\/strong><\/a>, September 21-22, 2023, Halifax, Nova Scotia.<\/em><\/li>\n
            12. [guest lecture] Gene Moo Lee<\/strong> (2023) “AI & Business Analytics,” UBC Sauder School of Business MBAN \/ MM Information Session, Sep 5, 2023, Vancouver, BC (virtual)<\/em>.<\/li>\n
            13. [invited talk] <\/strong><\/span>Gene Moo Lee<\/strong> (2023) “AI for Business Analytics,” Korea University of Science and Technology (UST; \uacfc\ud559\uae30\uc220\uc5f0\ud569\ub300\ud559\uc6d0\ub300\ud559\uad50<\/strong>), August 29, 2023, Daejeon, Korea (virtual)<\/em>.<\/li>\n
            14. [invited talk] <\/strong><\/span>Gene Moo Lee<\/strong> (2023) “AI for Business Analytics,” Department of Industrial and Management Engineering, POSTECH (\ud3ec\ud56d\uacf5\ub300)<\/strong>, August 24, 2023, Pohang, Korea.<\/em><\/li>\n
            15. [invited talk]<\/span> Gene Moo Lee<\/strong> (2023) “AI and Business Analytics,” Seoul National University (\uc11c\uc6b8\ub300\ud559\uad50)<\/em><\/strong>, August 9, 2023, Seoul, Korea<\/em>.<\/li>\n
            16. Myunghwan Lee<\/strong>, Gene Moo Lee, Victor Cui (2023) “Go beyond the Local Search: Understanding the Impact of AI Capabilities on Exploratory Innovation,” Academy of Management (AOM 2023<\/strong>)<\/a>, August 4-8, 2023, Boston, MA<\/em>.<\/li>\n
            17. [invited talk]<\/span> Gene Moo Lee<\/strong> (2023) “AI and Business Analytics,” Graduate School of Information, Yonsei University (\uc5f0\uc138\ub300\ud559\uad50)<\/strong><\/em>, August 3, 2023, Seoul, Korea<\/em>.<\/li>\n
            18. Xiaoke Zhang, Mi Zhou, Gene Moo Lee<\/strong> (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok,” KrAIS Summer Workshop<\/a>, July 5-6, 2023, Seoul, Korea<\/em>. Best Paper Runner-up Award<\/strong><\/span>.<\/span><\/li>\n
            19. Jaecheol Park<\/strong>, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic,”\u00a0KrAIS Summer Workshop<\/a>, July 5-6, 2023, Seoul, Korea<\/em>.<\/li>\n
            20. Xiaoke Zhang, Mi Zhou<\/strong>, Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok,” China Summer Workshop on Information Management (CSWIM 2023<\/strong>)<\/a>, June 25, 2023, Changsha, China<\/em>.<\/li>\n
            21. Xiaoke Zhang, Mi Zhou<\/strong>, Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok,” ISMS Marketing Science Conference<\/a>, June 8-10, 2023, Miami, FL<\/em>.<\/li>\n
            22. [guest lecture]<\/span> Gene Moo Lee <\/strong>(2023) “Developing Visual Data Analytics in Information Systems Research,” Department of Big Data Analytics, Kyung Hee University (\uacbd\ud76c\ub300\ud559\uad50)<\/strong><\/em>,\u00a0May 31, 2023, Seoul, Korea (virtual).<\/em><\/li>\n
            23. Jaecheol Park<\/strong>, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic,” Montreal Symposium on IS Research<\/a>. May 4, 2023, Montreal, QC.<\/em><\/li>\n
            24. [invited talk]<\/span> Gene Moo Lee<\/strong> (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok,” Department of Industrial and Management Engineering, POSTECH (\ud3ec\ud56d\uacf5\ub300)<\/strong><\/a>, April 28, 2023, Pohang, Korea (virtual)<\/em>.<\/li>\n
            25. [invited talk]<\/span> Gene Moo Lee <\/strong>(2023) “AI and Machine Learning in Business Analytics Research,” College of Computing and Informatics, Sungkyunkwan University (\uc131\uade0\uad00\ub300\ud559\uad50)<\/strong><\/em>, April 17, 2023, Seoul, Korea (virtual).<\/em><\/li>\n
            26. Jaecheol Park<\/strong>, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic,” UBC Sauder MIS Seminar Series<\/a>. March 31, 2023, Vancouver, BC.<\/em><\/li>\n
            27. [invited talk]<\/strong><\/span> Gene Moo Lee <\/strong>(2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok,” Rowe School of Business, Dalhousie University<\/strong>, March 30, 2023, Halifax, Nova Scotia (virtual).<\/em><\/li>\n
            28. [degree exam] <\/span>Xiaoke Zhang<\/strong> (2023) “Master’s thesis: How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok<\/a>,” UBC Sauder School of Business, March 24, 2023, Vancouver, BC<\/em>.<\/li>\n
            29. [degree exam] <\/span>Myunghwan Lee<\/strong> (2023) “Ph.D. Proposal: Three Essays on AI Strategies and Innovation<\/a>,” UBC Sauder School of Business<\/a>, Feb 23, 2023, Vancouver, BC<\/em>.<\/li>\n
            30. [invited talk]<\/strong><\/span> Gene Moo Lee<\/strong> (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok,” Graduate School of Information, Yonsei University (\uc5f0\uc138\ub300\ud559\uad50)<\/strong>, Jan 11, 2023, Seoul, Korea<\/em>\u00a0(virtual)<\/em>.<\/li>\n
            31. Sungho Park, Gene Moo Lee<\/strong>, Sang-Pil Han, Wonseok Oh (2023) “Introduction to the Minitrack on Technology and Analytics in Emerging Markets (TAEM)<\/a>,” Hawaii International Conference on System Sciences (HICSS 2023<\/strong>), Jan 3-6, 2023, Maui, HI.<\/em><\/li>\n<\/ol>\n

              2022 (25 presentations; 149 total)<\/strong><\/p>\n

                \n
              1. Xiaoke Zhang, Mi Zhou, Gene Moo Lee<\/strong> (2022) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, Workshop on Information Technologies and Systems<\/a> (WITS 2022<\/strong>), Dec 14-16, 2022, Copenhagen, Denmark<\/em>.<\/li>\n
              2. Soonjae Kwon<\/strong>, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2022) \u201cLearning Faces to Predict Matching Probability in an Online Dating Market\u201d, International Conference on Information Systems<\/a> (ICIS 2022<\/strong>), Dec 9-14, 2022, Copenhagen, Denmark<\/em>.<\/li>\n
              3. Myunghwan Lee<\/strong>, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2022) “Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry”, Bright Internet Global Summit<\/a> (BIGS 2022<\/strong>), Dec 7, 2022 (virtual)<\/em>.<\/li>\n
              4. Jaecheol Park<\/strong>, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Bright Internet Global Summit<\/a> (BIGS 2022<\/strong>), Dec 7, 2022 (virtual).<\/em><\/li>\n
              5. [invited talk]<\/span><\/strong> Gene Moo Lee<\/strong> (2022) “Business Analytics: What It Is and How to Prepare”, Event sponsored by the Consulate General of Korea in Vancouver (\uc8fc \ubc34\ucfe0\ubc84 \ub300\ud55c\ubbfc\uad6d \ucd1d\uc601\uc0ac\uad00<\/strong>)<\/a>, Nov 29, 2022, Vancouver, BC<\/em>.<\/li>\n
              6. Xiaoke Zhang<\/strong>, Mi Zhou, Gene Moo Lee (2022) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, UBC Sauder MIS Seminar Series<\/a>, Nov 4, 2022, Vancouver, BC.<\/em><\/li>\n
              7. [invited talk]<\/span> Gene Moo Lee <\/strong>(2022) “Developing Visual Data Analytics in Information Systems Research”, Desautels Faculty of Management, McGill University<\/strong><\/em><\/a>, Oct 21, 2022, Montreal, Quebec<\/em>.<\/li>\n
              8. Myunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2022) “Strategic Competitive Positioning: An Unsupervised Structural Hole-based Firm-specific Measure”, INFORMS Annual Meeting<\/em><\/a>, Oct 16-19, 2022, Indianapolis, IN.<\/em><\/li>\n
              9. Jaecheol Park<\/strong>, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Conference on Information Systems and Technologies<\/a> (CIST 2022<\/strong>), Oct 15-16, 2022, Indianapolis, IN<\/em>.<\/li>\n
              10. Myunghwan Lee<\/strong>, Gene Moo Lee (2022) “Ideas are Easy but Execution is Everything: Measuring the Impact of Stated AI Strategies and Capability on Firm Innovation Performance”, INFORMS Workshop on Data Science<\/a> (DS 2022<\/strong>), Oct 15, 2022, Indianapolis, IN.<\/em><\/li>\n
              11. Xiaoke Zhang<\/strong>, Mi Zhou, Gene Moo Lee (2022) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, INFORMS Workshop on Data Science<\/a> (DS 2022<\/strong>)<\/em>, Oct 15, 2022, Indianapolis, IN.<\/em><\/li>\n
              12. Myunghwan Lee<\/strong>, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2022) “Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry”, INFORMS Workshop on Data Science<\/a> (DS 2022<\/strong>)<\/em>, Oct 15, 2022, Indianapolis, IN.<\/em><\/li>\n
              13. Jaecheol Park<\/strong>, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, BU Platform Strategy Research Symposium<\/em><\/a>, July 19, 2022, Boston, MA<\/em>.<\/li>\n
              14. Jaecheol Park<\/strong>, Arslan Aziz, Gene Moo Lee (2022) \u201cDo Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com<\/a>\u201d, Pacific Asia Conference on Information Systems<\/a> (PACIS 2022<\/strong>),<\/em> July 5-9, 2022 (virtual)<\/em>.<\/li>\n
              15. Jaecheol Park, Arslan Aziz<\/strong>, Gene Moo Lee (2022) \u201cDo Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com\u201d, Statistical Challenges in Electronic Commerce Research (SCECR 2022<\/strong>),<\/em> June 2022,<\/em> Madrid<\/em>, Spain<\/em>.<\/li>\n
              16. [invited talk]<\/span> M<\/strong>yunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2022) Strategic Competitive Positioning: An Unsupervised Structural Hole-based Firm-specific Measure,\u00a0Korea University Business School (\uace0\ub824\ub300\ud559\uad50)<\/a><\/strong>, June 2022, Seoul, Korea<\/em>.<\/li>\n
              17. [invited talk]<\/span> M<\/strong>yunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2022) Strategic Competitive Positioning: An Unsupervised Structural Hole-based Firm-specific Measure,\u00a0KAIST College of Business<\/a><\/strong>, June 2022, Seoul, Korea<\/em>.<\/li>\n
              18. [guest lecture]<\/span> Gene Moo Lee <\/strong>(2022) Developing Visual Data Analytics in Information Systems Research, Department of Big Data Analytics, Kyung Hee University (\uacbd\ud76c\ub300\ud559\uad50)<\/strong><\/a><\/em>, Seoul, Korea<\/em>, June 7, 2022 (virtual)<\/em>.<\/li>\n
              19. [invited talk]<\/span> Gene Moo Lee <\/strong>(2022) Artificial Intelligence and Business Analytics,\u00a0Vancouver Korean Developer & Designer (KDD)<\/a> Conference, May 21, 2022, Vancouver, BC<\/em>.<\/li>\n
              20. [invited talk]<\/span> Gene Moo Lee <\/strong>(2022) Developing Visual Data Analytics in Information Systems Research, School of Business, Hanyang University (\ud55c\uc591\ub300\ud559\uad50)<\/strong><\/a>, May 20, 2022, Seoul, Korea (virtual).<\/em><\/li>\n
              21. M<\/strong>yunghwan Lee<\/strong>, Gene Moo Lee (2022) AI Capability or AI Washing? Measuring the Impact of Stated AI Strategies and AI Executions on Firm Innovation and Market Performance, UBC Sauder MIS Seminar Series<\/a>, <\/em>April 1, 2022, Vancouver, BC.<\/em><\/li>\n
              22. [invited talk]<\/strong><\/span> Gene Moo Lee <\/strong>(2022) Developing Visual Data Analytics in Information Systems Research, KAIST College of Business<\/a><\/strong>, March 31, 2022, Seoul, Korea.<\/em>\u00a0[First in-person talk after the pandemic]<\/strong><\/li>\n
              23. [invited talk]<\/span> Gene Moo Lee <\/strong>(2022) Developing Visual Data Analytics in Information Systems Research, School of Business, George Mason University<\/strong><\/a><\/em>, March 4, 2022, Fairfax, VA (virtual)<\/em>.<\/li>\n
              24. [invited talk]<\/span> Gene Moo Lee <\/strong>(2022) Developing Visual Data Analytics in Information Systems Research, Eller School of Management, University of Arizona<\/strong><\/em><\/a>, Feb 25, 2022, Phoenix, AZ (virtual).<\/em><\/li>\n
              25. Gene Moo Lee, Sang-Pil Han<\/strong>, Sungho Park, Wonseok Oh (2022) “Introduction to the Minitrack on Technology and Analytics in Emerging Markets (TAEM)”, Hawaii International Conference on System Sciences (HICSS 2022<\/strong>), Jan 4-7, 2022, (virtual).<\/em><\/li>\n<\/ol>\n

                2021 (27 presentations; 124 total)<\/strong><\/p>\n

                  \n
                1. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Graduate School of Information, Yonsei University (\uc5f0\uc138\ub300\ud559\uad50)<\/strong><\/a>, Dec 20, 2021, <\/em>Seoul, Korea (virtual)<\/em>.<\/li>\n
                2. Soonjae Kwon<\/strong>, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) \u201cLearning Faces to Predict Matching Probability in an Online Dating Market\u201d, Workshop on Information Technologies and Systems<\/a> (WITS 2021<\/strong>), Dec 15-17, 2021, Austin, Texas.<\/em><\/li>\n
                3. Jaecheol Park<\/strong>, Arslan Aziz, Gene Moo Lee (2021) \u201cDo Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com\u201d, Workshop on Information Systems and Economics (WISE 2021<\/strong>), Dec 16-17, 2021, Austin, Texas<\/em>.<\/li>\n
                4. Soonjae Kwon<\/strong>, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) \u201cLearning Faces to Predict Matching Probability in an Online Dating Market\u201d, KrAIS Research Workshop<\/a> (KrAIS 2021<\/strong>), Dec 15, 2021, Austin, Texas.<\/em><\/li>\n
                5. Jaecheol Park<\/strong>, Arslan Aziz, Gene Moo Lee (2021) \u201cDo Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com\u201d, KrAIS Research Workshop<\/a> <\/em>(KrAIS 2021<\/strong>), Dec 15, 2021, Austin, Texas<\/em>.<\/li>\n
                6. Myunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2021) \u201cStructural Hole-based Measures of Firm-level Competition and Strategic Positioning,\u201d KrAIS Research Workshop<\/a> <\/em>\u00a0(KrAIS 2021<\/strong>), Dec 15, 2021, Austin, Texas<\/em>.<\/em><\/li>\n
                7. Soonjae Kwon<\/strong>, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) \u201cLearning Faces to Predict Matching Probability in an Online Dating Market\u201d, 2021 Conference on Artificial Intelligence, Machine Learning, and Business Analytics<\/a>, Dec 2-3, 2021 (virtual)<\/em>.<\/li>\n
                8. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach<\/a>, KAIST College of Business<\/strong>, Nov 18, 2021, <\/em>Seoul, Korea (virtual)<\/em>.<\/li>\n
                9. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Simon Business School, University of Rochester<\/strong><\/em>, Nov 5, 2021, <\/em>Rochester, NY (virtual)<\/em>.<\/li>\n
                10. Soonjae Kwon<\/strong>, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) \u201cLearning Faces to Predict Matching Probability in an Online Dating Market\u201d, INFORMS Workshop on Data Science (DS\u00a02021<\/strong>), Nov 13, 2021, online.<\/em><\/li>\n
                11. Rui Cao<\/strong>, Gene Moo Lee, Hasan Cavusoglu (2021) \u201cCorporate Social Network Analysis: A Deep Learning Approach,\u201d INFORMS\u00a0<\/em>Workshop on Data Science (DS\u00a02021<\/strong>), Nov 13, 2021, online.<\/em><\/li>\n
                12. Myunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2021) \u201cStructural Hole-based Measures of Firm-level Competition and Strategic Positioning,\u201d\u00a0 INFORMS\u00a0<\/em>Workshop on Data Science (DS\u00a02021<\/strong>), Nov 13, 2021 (virtual).<\/em><\/li>\n
                13. Jaecheol Park<\/strong>, Arslan Aziz, Gene Moo Lee (2021) \u201cDo Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com\u201d, UBC Sauder MIS Seminar Series<\/a>, <\/em>October 2021 (virtual).<\/em><\/li>\n
                14. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Rollins College of Business, University of Tennessee Chattanooga<\/strong>, Oct 27, 2021, <\/em>Chattanooga, TN (virtual)<\/em>.<\/li>\n
                15. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach<\/a>,\u00a0Department of Information Systems and Analytics, National University of Singapore<\/strong><\/a>, Aug 27, 2021, Singapore (virtual)<\/em>.<\/li>\n
                16. [guest lecture]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, College of Software, Chung-Ang University<\/strong><\/a><\/em>, Aug 12, 2021, <\/em>Seoul, Korea (virtual)<\/em>.<\/li>\n
                17. [guest lecture]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, BDA 732 Big Data, Department of Big Data Analytics, Kyung Hee University (\uacbd\ud76c\ub300\ud559\uad50)<\/strong>, <\/em>June 9, 2021, <\/em>Seoul, Korea (virtual)<\/em>.<\/li>\n
                18. Gene Moo Lee <\/strong>(2021) Panel Discussion: How will AI and Big Data impact IS Research? (with Izak Benbasat, Carson Woo, Hasan Cavusoglu), UBC Sauder MIS Seminar Series<\/a>, June 1, 2021, <\/em>Vancouver, BC (virtual)<\/em>.<\/li>\n
                19. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Targeting Pre-Roll Ads using Video Analytics, Kogod School of Business, American University<\/em><\/a>, April 23, 2021, <\/em>Washington, DC (virtual)<\/em>.<\/li>\n
                20. [guest lecture]<\/span> Gene Moo Lee <\/strong>(2021) Matching Mobile Applications for Cross-Promotion, BUS 617: Internet Technologies and Mobile Business, Korea University Business School (\uace0\ub824\ub300\ud559\uad50)<\/strong>,<\/em> April 13, 2021, <\/em>Seoul, Korea (virtual)<\/em>.<\/li>\n
                21. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Targeting Pre-Roll Ads using Video Analytics, Smith School of Business, University of Maryland<\/strong>, April 2, 2021, <\/em>College Park, MD (virtual)<\/em>.<\/li>\n
                22. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, Saarland University<\/em><\/a><\/strong>, March 2, 2021, <\/em>Saarbr\u00fccken, Germany (virtual).<\/em><\/li>\n
                23. [invited talk]<\/span> Gene Moo Lee <\/strong>(2021) Targeting Pre-Roll Ads using Video Analytics, HKUST Business School, Hong Kong University of Science and Technology<\/strong><\/em>, Feb 16, 2021, <\/em>Hong Kong (virtual)<\/em>.<\/li>\n
                24. M<\/strong>yunghwan Lee<\/strong>, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2021) “Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?”, UBC Sauder MIS Seminar Series<\/a>, <\/em>Feb 12, 2021, Vancouver, BC (virtual).<\/em><\/li>\n
                25. Gene Moo Lee <\/strong>(2021) Panel Discussion: Introduction to Sauder MIS Ph.D.\/M.Sc. Programs (Moderator), UBC Sauder MIS Seminar Series<\/a>, Jan 22, 2021, <\/em>Vancouver, BC (virtual)<\/em>.<\/li>\n
                26. Matthias Schulte-Althoff<\/strong>, Daniel Fuerstenau, Gene Moo Lee (2021) \u201cA Scaling Perspective in AI Startups<\/a>\u201d, Hawaii International Conference on System Sciences (HICSS 2021<\/strong>), Jan 5-8, 2021, (virtual)<\/em>.<\/li>\n
                27. Gene Moo Lee<\/strong>, Sang-Pil Han, Sungho Park, Wonseok Oh (2021) “Introduction to the Minitrack on Technology and Analytics in Emerging Markets (TAEM)<\/a>“, In Hawaii International Conference on System Sciences (HICSS 2021<\/strong>), Jan 5-8, 2021, (virtual).<\/em><\/li>\n<\/ol>\n

                  2020 (16 presentations; 97 total)<\/strong><\/p>\n

                    \n
                  1. Myunghwan Lee<\/strong>, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) \u201cRobots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?\u201d KrAIS Research Workshop (KrAIS 2020<\/strong>), Dec 2020 (virtual).<\/em><\/li>\n
                  2. Rui Cao<\/strong>, Gene Moo Lee, Hasan Cavusoglu (2020) \u201cCorporate Social Network Analysis: A Deep Learning Approach,\u201d Workshop on Information Technologies and Systems (WITS 2020<\/strong>), Dec 2020, online<\/em>.<\/li>\n
                  3. Sungho Park, Gene Moo Lee, Donghyuk Shin<\/strong>, Sang-Pil Han (2020) \u201cTargeting Pre-Roll Ads using Video Analytics,\u201d Workshop on Information Technologies and Systems (WITS 2020<\/strong>), Dec 2020, online<\/em>.<\/li>\n
                  4. Myunghwan Lee<\/strong>, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) \u201cRobots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?\u201d Workshop on Information Technologies and Systems (WITS 2020<\/strong>), Dec 2020, online<\/em>.<\/li>\n
                  5. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2020) Artificial Intelligence and Business Analytics, AKCSE Young Generation Forum, Vancouver, BC (virtual), November 7, 2020<\/em>.<\/li>\n
                  6. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2020) Artificial Intelligence for Business Analytics, UBC Sauder School of Business MM\/MBAN Sample Class, Vancouver, BC (virtual), October 14, 2020<\/em>.<\/li>\n
                  7. [invited talk]<\/span> Gene Moo Lee <\/strong>(2020) Targeting Pre-Roll Ads using Video Analytics, University of Washington,\u00a0Seattle, WA (virtual), October 9, 2020<\/em>.<\/li>\n
                  8. Gene Moo Lee <\/strong>(2020) Designing and Delivering Effective Online Exams, Teaching Online Series, UBC Sauder School of Business,\u00a0Vancouver, BC (virtual), August 27, 2020.<\/em><\/li>\n
                  9. [invited talk]<\/span> Gene Moo Lee <\/strong>(2020) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, Rutgers Business School (virtual),\u00a0June 13, 2020<\/em>. [First virtual talk during the pandemic<\/strong>]<\/li>\n
                  10. Sungho Park, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) \u201cGone in 5 Seconds: Targeting Skippable Pre-Roll Ads to Relevant Videos and Audience using Video Analytics with Deep Learning,\u201d In Winter Conference on Business Analytics (WCBA 2020<\/strong>), Snowbird, Utah<\/em>. (canceled due to COVID-19<\/strong>)<\/li>\n
                  11. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2020) Big Data Analytics and Machine Learning in Business Research, UBC Sauder Commerce Scholars Program Research Seminar, Vancouver, BC, March 3, 2020<\/em>.<\/li>\n
                  12. Rui Cao<\/strong>, Gene Moo Lee, Hasan Cavusoglu (2020) “Corporate Social Network Analysis: A Deep Learning Approach”, UBC Sauder MIS Seminar Series<\/a>, <\/em>February 2020, Vancouver, BC (Virtual).<\/em><\/li>\n
                  13. Gene Moo Lee <\/strong>(2020) Big Data Analytics and Machine Learning in Business Research,\u00a0Korea Research Institute of Human Settlements (\uad6d\ud1a0\uc5f0\uad6c\uc6d0)<\/a>,\u00a0Vancouver, BC, February 27, 2020<\/em>.<\/li>\n
                  14. Matthias Schulte-Althoff<\/strong>, Kai Schewina, Gene Moo Lee, Daniel Furstenau (2020) “On the Heterogeneity of Digital Infrastructure in Entrepreneurial Ecosystems<\/a>,\u201d In Proceedings of Hawaii International Conference on System Sciences (HICSS 2020<\/strong>), Jan 2020, Maui, Hawaii<\/em>.<\/li>\n
                  15. Victor Song, Hasan Cavusoglu<\/strong>, Gene Moo Lee, Li Zhi Ma (2020) \u201cIT Risk Factor Disclosure and Stock Price Crashes<\/a>,\u201d In Proceedings of Hawaii International Conference on System Sciences (HICSS 2020<\/strong>), Jan 2020, Maui, Hawaii<\/em>.<\/li>\n
                  16. Yunhui Zhuang, Yunsik Choi, Shu He, Alvin C. M. Leung, Gene Moo Lee<\/strong>, Andrew B. Whinston (2020) \u201cInformation Disclosure and Security Vulnerability Awareness: A Large-Scale Randomized Field Experiment in Pan-Asia<\/a>,\u201d In Proceedings of Hawaii International Conference on System Sciences (HICSS 2020<\/strong>), Jan 2020, Maui, Hawaii<\/em>.<\/li>\n<\/ol>\n

                    2019 (5 presentations; 81 total)<\/strong><\/p>\n

                      \n
                    1. Myunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2019) \u201cOpportunity Structures: Tensions in Strategic Posture Identification and Positioning of IPOs,\u201d In INFORMS Conference on Information Systems and Technology (CIST 2019<\/strong>), Nov 2019, Seattle, Washington<\/em>.<\/li>\n
                    2. Sam Hwang,\u00a0Gene Moo Lee,\u00a0Myunghwan Lee<\/strong>, Raymond Situ (2019) “How Does Heterogeneity in Beliefs Affect Students in the Intergenerational Game?” KER International Conference, August 2019, Seoul, Korea<\/em>.<\/li>\n
                    3. [invited talk]<\/span> Gene Moo Lee <\/strong>(2019) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Beedie School of Business, Simon Fraser University<\/strong>,\u00a0Burnaby, BC, March 1, 2019<\/em>.<\/li>\n
                    4. Victor Song<\/strong>, Hasan Cavusoglu, Gene Moo Lee, Mary Li Zhi Ma (2019) “IT Risk Factor Disclosure and Stock Price Crash Risk”, UBC Sauder MIS Seminar Series<\/em>, February 2019, Vancouver, British Columbia<\/em>.<\/li>\n
                    5. [invited talk]<\/span> Gene Moo Lee <\/strong>(2019) Opportunity Structures: A Machine Learning Approach for Analyzing Industry Dynamics,\u00a0CAIDA Application Seminar<\/a>, UBC,\u00a0Vancouver, BC, January 21, 2019<\/em>. [SlideShare<\/a>]<\/li>\n<\/ol>\n

                      2018 (11 presentations; 76 total)<\/strong><\/p>\n

                        \n
                      1. Yunsik Choi<\/strong> (2018) “CybeRatings: An origin responsibility measurement framework using spam and phishing data”, Bright Internet Global Summit (BIGS 2018), December 2018, San Francisco, California<\/em>.<\/li>\n
                      2. M<\/strong>yunghwan Lee<\/strong>, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2018) “Opportunity Structure: Tensions in Strategic Posture Identification and Positioning of IPOs”, UBC Sauder MIS Seminar Series, November 2018, Vancouver, British Columbia.<\/em><\/li>\n
                      3. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2018) Guest Lecture at COMM 590B Topics in Business Administration (Ph.D. Teaching Course, Instructor: Ronald T. Cenfetelli<\/a>), UBC Sauder School of Business,\u00a0Vancouver, BC, November 22, 2018<\/em>.<\/li>\n
                      4. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2018) Guest Lecture at COMM 693 (Ph.D. Seminar in Research Methodology, Instructor: Keith Head<\/a>), UBC Sauder School of Business,\u00a0Vancouver, BC, October 24, 2018<\/em>.<\/li>\n
                      5. [invited talk]<\/span> Gene Moo Lee <\/strong>(2018) Developing Cyber Risk Assessment Framework for Cyber Insurance: A Big Data Approach, Final Project Presentation for\u00a0Korea Insurance Research Institute (KIRI, \ubcf4\ud5d8\uc5f0\uad6c\uc6d0<\/strong>)<\/a>,\u00a0Seoul, Korea, July 23, 2018<\/em>.<\/li>\n
                      6. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2018) On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data, Korea University Business School<\/strong> MIS Seminar, Seoul, Korea, June 15, 2018<\/em>.<\/li>\n
                      7. Victor Song<\/strong>, Hasan Cavusoglu, Gene Moo Lee, Mary Li Zhi Ma (2018) “IT Risk Factor Disclosure and Stock Price Crash Risk”, UBC Cybersecurity Summit, May 2018, Vancouver, British Columbia<\/em>.<\/li>\n
                      8. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2018) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, Ph.D. Seminar, W. P. Carey School of Business, Arizona State University<\/strong>, Tempe, AZ,<\/em>\u00a0April 27, 2018<\/em>.<\/li>\n
                      9. Gene Moo Lee <\/strong>(2018) Developing A Big Data Analytics Framework for U.S. Industry Intelligence, Accounting & Information Systems Seminar, Rutgers Business School<\/strong><\/em>,\u00a0Newark, NJ, April 20, 2018<\/em>.<\/li>\n
                      10. [Guest Lecture]<\/span> Gene Moo Lee <\/strong>(2018) Does Deceptive Marketing Pay? The Evolution of Consumer Sentiment Surrounding a Pseudo-Product-Harm Crisis, LIBR 559D Social Media Intelligence Course<\/a>\u00a0(Instructor:\u00a0Muhammad Abdul-Mageed<\/a>),\u00a0\u00a0iSchool@UBC<\/a>,\u00a0Vancouver, BC, March 26, 2018<\/em>.<\/li>\n
                      11. Gene Moo Lee <\/strong>(2018) SEC Filings Analytics for U.S. Industry Intelligence,\u00a0UBC Master of Data Science<\/a>\u00a0Capstone Project Introduction,\u00a0Vancouver, BC, February 7, 2018<\/em>.<\/li>\n<\/ol>\n

                        2017 (16 presentations; 65 total)<\/strong><\/p>\n

                          \n
                        1. Yunsik Choi<\/strong>, Jinhyuk Choi, Gene Moo Lee, Andrew B. Whinston (2017) \u201cBringing Managed Security Services to Internet Service Providers: A Game-Theoretic Analysis,\u201d In KrAIS Research Workshop (KrAIS 2017<\/strong>), Dec 2017, Seoul, Korea<\/em>.\u00a0Best Paper Award<\/strong>.<\/span><\/li>\n
                        2. Yunsik Choi<\/strong>, Shu He, Gene Moo Lee, Alvin C. M. Leung, Andrew B. Whinston, Yunhui Zhuang (2017) \u201cA Pan-Asian Field Experiment of Organizational Awareness to Information Security and Preparedness against Cybercrime,\u201d In Workshop on Information Technologies and Systems (WITS 2017<\/strong>), Dec 2017, Seoul, Korea<\/em>.\u00a0Best Work-in-Progress Runner-Up Award<\/strong>.<\/span><\/li>\n
                        3. Yunsik Choi<\/strong>, Jin Hyuk Choi,\u00a0Gene Moo Lee, Andrew Whinston (2017) Internet Service Providers as Cyber-Defenders: A Dynamic Game-Theoretic Model,\u00a0Workshop on Information Technologies and Systems (WITS 2017<\/strong>), December 2017, Seoul, Korea<\/em>.<\/li>\n
                        4. Gene Moo Lee<\/strong>, Yash Nigam, Drishti Kapoor, Jinny Seo J (2017) \u201cSEC Filings Text Analytics for U.S. Industry Intelligence: A Preliminary Report,\u201d In Workshop on Information Technologies and Systems (WITS 2017<\/strong>), Dec 2017, Seoul, Korea<\/em>.<\/li>\n
                        5. [invited talk]<\/span> Gene Moo Lee <\/strong>(2017) Big Data Analytics Framework for U.S. Industry Intelligence,\u00a0Korea Institute of Science and Technology Information (KISTI, \ud55c\uad6d\uacfc\ud559\uae30\uc220\uc815\ubcf4\uc5f0\uad6c\uc6d0<\/strong>)<\/a>,\u00a0Seoul, Korea, December 11, 2017<\/em>.<\/li>\n
                        6. [invited talk]<\/span> Gene Moo Lee <\/strong>(2017) Advanced Business Analytics with Machine Learning, WJ Packaging Solutions, Richmond, BC, December 4, 2017.<\/i><\/li>\n
                        7. [invited talk]<\/span> Gene Moo Lee <\/strong>(2017) Introduction to Sauder BUCS\/BTM Programs, UBC Korean Commerce Student Association,\u00a0Vancouver, BC, November 24, 2017<\/em>.<\/li>\n
                        8. Gene Moo Lee <\/strong>(2017) Advanced Business Analytics with Machine Learning,\u00a0Korea Research Institute of Human Settlements (\uad6d\ud1a0\uc5f0\uad6c\uc6d0)<\/a>,\u00a0Vancouver, BC,\u00a0November 23, 2017<\/em>.<\/li>\n
                        9. [invited talk]<\/span> Gene Moo Lee <\/strong>(2017) Advancing Business Analytics with AI and Machine Learning,\u00a0AI@UBC<\/a>,\u00a0Vancouver, BC, October 11, 2017.<\/em><\/li>\n
                        10. Yunsik Choi<\/strong>, Jinhyuk Choi, Gene Moo Lee, Andrew B. Whinston (2017) \u201cBringing Cybersecurity and Managed Security Services to ISPs: A Game-Theoretic Analysis,\u201d In INFORMS Conference on Information Systems and Technology (CIST 2017<\/strong>), Oct 2017, Houston, Texas<\/em>.<\/li>\n
                        11. [invited talk]<\/span> Gene Moo Lee <\/strong>(2017) Advanced Business Analytics with Machine Learning, Consulate General of the Republic of Korea (\uc8fc \ubc34\ucfe0\ubc84 \ub300\ud55c\ubbfc\uad6d \ucd1d\uc601\uc0ac\uad00<\/strong>), Vancouver, BC, September 25, 2017<\/em>.<\/li>\n
                        12. Gene Moo Lee <\/strong>(2017) Big Data Analytics: Challenges and Opportunities<\/a>, Panel Discussion on Exploring Regulation Schemes in the 4th Industrial Revolution,\u00a0Seoul National University Law School Conference<\/a>,\u00a0Vancouver, BC, September 8, 2017<\/em>.<\/li>\n
                        13. Gene Moo Lee <\/strong>(2017) Developing Big Data Analytics Framework for U.S. Industry Intelligence,\u00a0US-Korea Conference (UKC 2017)<\/a>,\u00a0KISTI International Collaboration Projects<\/a>, Washington, DC, August 10, 2017<\/i>. [Press Release<\/a>] [First talk since joining UBC<\/strong>]<\/li>\n
                        14. [invited talk]<\/span> Gene Moo Lee <\/strong>(2017) Towards Advanced Business Analytics with\u00a0Text Mining and Deep Learning<\/a>,\u00a0Focus on Faculty<\/a>, University of Texas at Arlington, Arlington, Texas, April 26, 2017<\/i>. [Video<\/a>]<\/li>\n
                        15. [invited talk]<\/span> Gene Moo Lee <\/strong>(2017) Towards Advanced Business Analytics with\u00a0Text Mining and Deep Learning,\u00a0University of North Texas<\/strong><\/em>, Denton, Texas, March 24, 2017<\/i>.<\/li>\n
                        16. Young Kwark, Gene Moo Lee, Paul A. Pavlou<\/strong>, Liangfei Qiu (2016) \u201cThe Spillover Effects of User-Generated Online Product Reviews on Purchases: Evidence from Clickstream Data<\/a>,\u201d In Proceedings of International Conference on Information Systems (ICIS 2016<\/strong>), Dec 2016, Dublin, Ireland<\/em>.<\/li>\n<\/ol>\n

                          2016 (21 presentations; 49 total)<\/strong><\/p>\n

                            \n
                          1. Gene Moo Lee <\/strong>(2016) Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach<\/a>,\u00a0DSI Annual Meeting<\/a>, Austin, Texas, November 20, 2016<\/i>.<\/li>\n
                          2. Donghyuk Shin<\/strong>, Shu He, Gene Moo Lee, Andrew B. Whinston (2016) \u201cAnalyzing Content and Customer Engagement in Social Media with Deep Learning,\u201d In INFORMS Conference on Information Systems and Technology (CIST 2016<\/strong>), Nov 2016, Nashville, Tennessee<\/em>.<\/li>\n
                          3. Gene Moo Lee <\/strong>(2016) Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach,\u00a0INFORMS Annual Conference<\/a>, Nashville, Tennessee, November 12, 2016<\/i>.<\/li>\n
                          4. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence,\u00a0KOCSEA Technical Symposium<\/a>, Vienna, VA, November 4, 2016<\/i>.<\/li>\n
                          5. [job talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with\u00a0Text Mining and Deep Learning<\/a>,\u00a0University of British Columbia<\/a>, Vancouver, Canada, October 28, 2016<\/i>.<\/li>\n
                          6. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with\u00a0Text Mining and Deep Learning,\u00a0KSEA North Texas Chapter Seminar<\/a>,\u00a0Dallas, Texas, October 15, 2016<\/i>.<\/li>\n
                          7. Gene Moo Lee <\/strong>(2016) Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach,\u00a0US-Korea Conference<\/a>\u00a0(UKC 2016), Dallas, Texas, August 11, 2016<\/i>.<\/li>\n
                          8. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with\u00a0Text Mining and Deep Learning,\u00a0MIS Seminar,\u00a0Kyungpook National University (\uacbd\ubd81\ub300\ud559\uad50)<\/strong><\/em>, Daegu, Korea, July 19, 2016<\/i>.<\/li>\n
                          9. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Cybersecurity Policy Design and Evaluation,\u00a0Barun ICT Research Center<\/a>, Yonsei University (\uc5f0\uc138\ub300\ud559\uad50)<\/strong><\/em>, Seoul, Korea, June 28, 2016<\/i>.<\/li>\n
                          10. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Analyzing the Spillover Roles of User-Generated Reviews on Purchases: Evidence from Clickstream Data<\/a>,\u00a0Korea MIS Conference<\/a>, Busan, Korea, June 24, 2016<\/i>.<\/li>\n
                          11. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with\u00a0Text Mining and Deep Learning, MIS\u00a0Research Seminar,\u00a0Seoul National University (\uc11c\uc6b8\ub300\ud559\uad50)<\/strong><\/em>, Seoul, Korea, June 23, 2016<\/i>.<\/li>\n
                          12. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with\u00a0Text Mining and Deep Learning, MIS\u00a0Research Seminar,\u00a0School of Business, Yonsei University (\uc5f0\uc138\ub300\ud559\uad50)<\/strong><\/em>, Seoul, Korea, June 16, 2016<\/i>.<\/li>\n
                          13. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, School of Computer Science and Engineering, Chung-Ang University (\uc911\uc559\ub300\ud559\uad50)<\/strong><\/em>, Seoul, Korea, June 15, 2016<\/i>.<\/li>\n
                          14. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, School of Management, Kyung Hee University (\uacbd\ud76c\ub300\ud559\uad50)<\/strong><\/em>, Seoul, Korea, June 7, 2016<\/i>.<\/li>\n
                          15. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, Hanyang University Business School (\ud55c\uc591\ub300\ud559\uad50)<\/em><\/strong>, Seoul, Korea, June 2, 2016<\/i>.<\/li>\n
                          16. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, Korea University Business School (\uace0\ub824\ub300\ud559\uad50)<\/em><\/strong>, Seoul, Korea, May 31, 2016<\/i>.<\/li>\n
                          17. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, Business School, Sungkyunkwan University (\uc131\uade0\uad00\ub300\ud559\uad50<\/strong>)<\/em>, Seoul, Korea, May 30, 2016<\/i>.<\/li>\n
                          18. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Content Complexity in Social Media: A Deep Learning Approach,\u00a0Texas FreshAIR Big Data & Data Analytics Conference<\/a><\/em>, San Antonio, Texas, March 30, 2016.\u00a0<\/i><\/li>\n
                          19. [invited talk]<\/span> Gene Moo Lee <\/strong>(2016) Content Complexity in Social Media: A Deep Learning Approach, Research Incubator Seminar Series, College of Business, University of Texas at Arlington<\/strong><\/em>, February 17, 2016<\/i>.<\/li>\n
                          20. Gene Moo Lee <\/strong>(2016) Analyzing the Spillover Roles of User-Generated Reviews on Purchases: Evidence from Clickstream Data<\/a>,\u00a0Winter Conference on Business Intelligence<\/a><\/em>, Snowbird, Utah, March 5, 2016<\/i>.<\/li>\n
                          21. Gene Moo Lee<\/strong>, Liangfei Qiu, Andrew B. Whinston (2016) \u201cStrategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach<\/a>,\u201d In Hawaii International Conference on System Sciences (HICSS 2016<\/strong>), Jan 2016, Kauai, Hawaii<\/em>.\u00a0Nominated for Best Paper Award<\/strong><\/span>.<\/li>\n<\/ol>\n

                            2015 (12 presentations; 28 total)<\/strong><\/p>\n

                              \n
                            1. Donghyuk Shin<\/strong>, Shu He, Gene Moo Lee, Andrew B. Whinston (2015) \u201cSharing Behavior in Online Social Media: An Empirical Analysis with Deep Learning<\/a>,\u201d In Proceedings of Workshop on E-Business (WEB 2015<\/strong>), Dec 2015, Fort Worth, Texas<\/em>.<\/li>\n
                            2. Gene Moo Lee <\/strong>(2015) Towards A Better Measure of Business Proximity: Topic Modeling for Industry Intelligence<\/a>, MISQ Workshop, KU Leuven<\/em><\/a>, Belgium, August 13, 2015<\/i>. [First talk since joining UT Arlington<\/strong>]<\/li>\n
                            3. Shu He<\/strong>, Gene Moo Lee, John S. Quarterman, Andrew B. Whinston (2015) \u201cCybersecurity Policies Design and Evaluation: Evidence from a Large-Scale Randomized Field Experiment,\u201d In Workshop on Economics of Information Security (WEIS 2015<\/strong>), June 2015, Delft, The Netherlands.<\/em><\/li>\n
                            4. S. Miskovic<\/strong>, Gene Moo Lee, Yong Liao, Mario Baldi (2015) \u201cAppPrint: Automatic Fingerprinting of Mobile Applications in Network Traffic\u201d, In Proceedings of Passive and Active Measurement Conference (PAM 2015<\/b>), March 2015, New York, New York<\/i>. [Details<\/a>]<\/li>\n
                            5. [invited talk]<\/span> Gene Moo Lee <\/strong>(2015) Designing Cybersecurity Policies with Field Experiments<\/a>, KAIST Business School<\/em><\/strong>, Seoul, Korea, February 25, 2015 (virtual)<\/i>.<\/li>\n
                            6. [job talk]<\/span> Gene Moo Lee <\/strong>(2015) Matching Mobile Applications for Cross Promotion, College of Business, The University of Texas at Arlington<\/strong><\/em>, Arlington, Texas, February 5, 2015<\/i>.<\/li>\n
                            7. [job talk]<\/span> Gene Moo Lee <\/strong>(2015) Matching Mobile Applications for Cross Promotion, Carlson School of Management, University of Minnesota<\/strong><\/em>, Minneapolis, Minnesota, February 2, 2015.<\/i><\/li>\n
                            8. [job talk]<\/span> Gene Moo Lee <\/strong>(2015) Matching Mobile Applications for Cross Promotion, Naveen Jindal School of Management, University of Texas at Dallas<\/strong><\/em>,\u00a0Richardson, Texas, January 30, 2015<\/i>.<\/li>\n
                            9. [job talk]<\/span> Gene Moo Lee <\/strong>(2015) Matching Mobile Applications for Cross Promotion, Kelley School of Business, Indiana University<\/strong>, Bloomington<\/em>, Indiana, January 27, 2015<\/i>.<\/li>\n
                            10. [job talk]<\/span> Gene Moo Lee <\/strong>(2015) Matching Mobile Applications for Cross Promotion, Paul Merage School of Business, University of California Irvine<\/strong><\/em>, California, January 23, 2015<\/i>.<\/li>\n
                            11. [job talk]<\/span> Gene Moo Lee <\/strong>(2015) Matching Mobile Applications for Cross Promotion, Fox School of Business, Temple University<\/strong><\/em>, Philadelphia, Pennsylvania, January 21, 2015<\/i>.<\/li>\n
                            12. [job talk]<\/span> Gene Moo Lee <\/strong>(2015) Matching Mobile Applications for Cross Promotion, Mendoza College of Business, University of Notre Dame<\/strong><\/em>, South Bend, Indiana, January 16, 2015<\/i>.<\/li>\n<\/ol>\n

                              2014 (6 presentations; 16 total)<\/strong><\/p>\n

                                \n
                              1. Gene Moo Lee<\/strong>, Liangfei Qiu, Andrew B. Whinston (2014) \u201cStrategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach,\u201d In Workshop on Information Systems and Economics (WISE 2014<\/strong>), Dec 2014, <\/em>Auckland. New Zealand<\/em>.<\/li>\n
                              2. Gene Moo Lee<\/strong>, Liangfei Qiu, Andrew B. Whinston (2014) \u201cStrategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach,\u201d In Workshop on Information Technologies and Systems (WITS 2014<\/strong>), Dec 2014, <\/em>Auckland. New Zealand<\/em>.<\/li>\n
                              3. Gene Moo Lee<\/strong>, Joowon Lee, Andrew B. Whinston (2014) \u201cMatching Mobile Applications for Cross Promotion,\u201d In Proceedings of Workshop on E-Business (WEB 2014<\/strong>)<\/em>, Dec 2014, Auckland. New Zealand<\/em>.<\/li>\n
                              4. Shu He<\/strong>, Gene Moo Lee, Andrew B. Whinston (2014) \u201cEstimating the Treatment Effect of Spam Information Disclosure on Organizations: A Field Experiment,\u201d In INFORMS Conference on Information Systems and Technology (CIST 2014<\/strong>)<\/em>, Nov 2014, San Francisco, California<\/em>.<\/li>\n
                              5. Gene Moo Lee <\/strong>(2014) Matching Mobile Applications for Cross Promotion<\/a>,\u00a0Conference on Big Data Marketing Analytics<\/em><\/a>, Chicago, Illinois, October 31, 2014<\/i>.<\/li>\n
                              6. Zhan Shi<\/strong>, Gene Moo Lee, Andrew B. Whinston (2014) \u201cTowards a Better Measure of Business Proximity: Topic Modeling for Analyzing M&As\u201d, In Proceedings of ACM Conference on Economics and Computation (ACM EC 2014<\/strong>), June 2014, Stanford, California<\/em>. [First conference paper after switching to IS field<\/strong>]<\/li>\n<\/ol>\n

                                2013 (6 presentations; 10 total)<\/strong><\/p>\n

                                  \n
                                1. [invited talk]<\/span> Gene Moo Lee <\/strong>(2013) Mobile Apps, Ventures, and Two-Sided Markets, DMC R&D Center, Samsung Electronics<\/strong><\/em>, Suwon, Korea, October 28, 2013<\/i>.<\/li>\n
                                2. [invited talk]<\/span> Gene Moo Lee <\/strong>(2013) Mobile Apps, Ventures, and Two-Sided Markets, MC R&D Center, LG Electronics<\/strong><\/em>, Seoul, Korea, October 27, 2013<\/i>.<\/li>\n
                                3. Gene Moo Lee<\/strong>, Swati Rallapalli, Wei Dong, Yi-Chao Chen, Lili Qiu, Yin Zhang (2013) \u201cMobile Video Delivery via Human Movement\u201d, In Proceedings of the IEEE Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (IEEE SECON 2013<\/b>), June 2013, New Orleans, Louisiana. <\/i>[Details<\/a>]<\/li>\n
                                4. Yi-Chao Chen<\/strong>, Gene Moo Lee, Nick Duffield, Lili Qiu, Jia Wang (2013) \u201cEvent Detection using Customer Care Calls\u201d, In Proceedings of the\u00a0<\/em>IEEE International Conference on Computer Communications (IEEE<\/strong>\u00a0INFOCOM 2013<\/b>), Apr 2013, Turin, Italy<\/i>. [Details<\/a>]<\/li>\n
                                5. Swati Rallapalli<\/strong>, Wei Dong, Gene Moo Lee, Yi-Chao Chen, Lili Qiu (2013) \u201cAnalysis and Applications of Smartphone User Mobility\u201d, In Proceedings of the International Workshop on Network Science for Communication Networks<\/em>\u00a0(NetSciCom 2013<\/strong>), Apr 2013, Turin, Italy<\/em>. [Details<\/a>]<\/li>\n
                                6. John S. Quarterman<\/strong>, Leigh Linden, Qian Tang, Gene Moo Lee, Andrew B. Whinston (2013) \u201cSpam and Botnet Reputation Randomized Control Trials and Policy\u201d, In Research Conference on Communications, Information, and Internet Policy (TPRC 2013<\/strong>), Oct 2013, Arlington, Virginia<\/em>.<\/li>\n<\/ol>\n

                                  Pre-2012 (4 presentations)<\/strong><\/p>\n

                                    \n
                                  1. Gene Moo Lee<\/strong> (2012) \u201cModeling Human Mobility using Location-Based Social Networks\u201d, In US-Korea Conference on Science, Technology, & Entrepreneurship (UKC 2012<\/strong>)<\/em>, Aug 2012, Los Angeles, California<\/em>. [slides<\/a>] [First talk after starting Ph.D. program<\/strong>]<\/li>\n
                                  2. Gene Moo Lee<\/strong>, Taehwan Choi (2008) \u201cImproving the Interaction between Overlay Routing and Traffic Engineering\u201d, In Proceedings of\u00a0<\/em>IFIP Networking Conference (Networking 2008<\/b>), May 2008, Singapore. <\/i>[Details<\/a>]<\/li>\n
                                  3. Gene Moo Lee<\/strong>, Huiya Liu, Young Yoon, Yin Zhang (2005) \u201cImproving Sketch Reconstruction Accuracy Using Linear Least Square Method\u201d, In Proceedings of\u00a0<\/em>Internet Measurement Conference (ACM<\/strong>\u00a0IMC 2005<\/b>), Oct 2005, Berkeley, California<\/i>. [Details<\/a>] [First talk during the Master’s program<\/strong>]<\/li>\n
                                  4. Gene Moo Lee<\/strong>\u00a0(2003) Introduction to NP-Completeness<\/a>, Department of Computer Science, Korea University (\uace0\ub824\ub300\ud559\uad50), Seoul, Korea, November 28, 2003.<\/i><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

                                    Our research group regularly presents papers at major IS conferences (e.g., DS, INFORMS, CIST, ICIS, WITS, KrAIS, and HICSS) and research seminars. Presenters are bolded in the following list. Scheduling [invited talk] Gene Moo Lee (2027). TBD, University of Minnesota, TBD, Minneapolis, MN. [invited talk] Gene Moo Lee (2027). TBD, Nanyang Technological University, TBD, Singapore. […]<\/p>\n","protected":false},"author":51140,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-32","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/pages\/32","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/users\/51140"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/comments?post=32"}],"version-history":[{"count":332,"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/pages\/32\/revisions"}],"predecessor-version":[{"id":1671,"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/pages\/32\/revisions\/1671"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/analyticsailab\/wp-json\/wp\/v2\/media?parent=32"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}