경제성분석 연구실

[26.08.12., 레귤러 세미나] 유정민 - Equipment Deterioration and Its Management

admleesa — Wed, 12 Aug 2026 14:21:42 +0000

발표논문 Bellman, R. (1955). Equipment replacement policy. Journal of the society for industrial and applied Mathematics, 3(3), 133-136. Kim, S. H., Cohen, M. A., & Netessine, S. (2007). Performance contracting in after-sales service supply chains. Management science, 53(12), 1843-1858. Hezarkhani, B., Nagarajan, M., & Tong, C. (2022). Toward servitization: Optimal design of uptime‐guarantee maintenance contracts. Production and Operations Management, 31(10), 3806-3822.

[2026.7] 교양 : 사람이 알아야 할 모든 것 - 디트리히 슈바니츠

admleesa — Wed, 12 Aug 2026 12:48:54 +0000

<교양>은 2,500여 년에 달하는 서양문화사를 담아낸 책이다. '사람이 알아야 할 모든 것'이라는 부제가 붙은 이 책에는 역사와 문학, 언어, 미술, 건축, 음악, 철학과 성(性) 담론에 이르기까지 유럽 문명의 핵심이 압축되어 있다. 다양한 영역을 각각 40쪽 내외의 분량으로 정리하였으며, 이를 통해 진정한 교양이 무엇인지를 전해준다. 저자는 이 책에서 '교양'이라는 단어의 의미를 세우는 작업과, 교양의 세계로 현대인들을 이끄는 작업을 동시에 진행하고 있다. 1부「지식」에서는 교양의 토대가 되는 신화와 역사적 사건, 작가와 예술가의 작품, 철학자와 이데올로기를 다루었다. 2부「능력」에서는 이런 지식을 활용하여 교양인이 되는 전략을 제시하고 있다. 출처 : 교보문고

[26.08.06., 중견과제 세미나] 성연찬 - Data pricing via competitive equilibrium 등 3편

admleesa — Thu, 06 Aug 2026 14:03:09 +0000

발표논문 Chaudhury, B. R., Garg, J., Murhekar, A., & Song, J. (2026, April). Data pricing via competitive equilibrium. In Proceedings of the ACM Web Conference 2026 (pp. 351-362). Lyu, Y., Qian, L., Yang, Z., Yao, J., & Zuo, X. (2026). Optimal pricing approaches for data markets in market-operated data exchanges. Statistical Theory and Related Fields, 10(1), 23-45. Chaudhury, B. R., Garg, J., Sharma, E., & Song, J. Equilibrium Pricing in Oligopolistic Data Markets. In Forty-third International Conference on Machine Learning.

[26.08.06., 중견과제 세미나] 이준희 - Implications of the SCM framework from a data research perspective

admleesa — Thu, 06 Aug 2026 13:23:35 +0000

발표자료 첨부파일 참고

[26.08.05., 레귤러 세미나] 이준희 - Why causality matters : An introduction to structural causal models

admleesa — Thu, 06 Aug 2026 13:20:19 +0000

발표논문 Pearl, J. (2009). Causal inference in statistics: An overview. Statist. Surv. 3 96 - 146 Aglietti, V., Lu, X., Paleyes, A., & González, J. (2020, June). Causal bayesian optimization. In International Conference on Artificial Intelligence and Statistics (pp. 3155-3164). PMLR. Kallus, N., & Zhou, A. (2021). Minimax-optimal policy learning under unobserved confounding. Management Science, 67(5), 2870-2890.

[26.08.06., 중견과제 세미나] 이윤곤 - The value of panel data

admleesa — Thu, 06 Aug 2026 12:58:25 +0000

발표논문 Kowalski, A. E. (2015). What do longitudinal data on millions of hospital visits tell us about the value of public health insurance as a safety net for the young and privately insured? (No. w20887). National Bureau of Economic Research. Vervaart, M., Strong, M., Claxton, K. P., Welton, N. J., Wisløff, T., & Aas, E. (2022). An efficient method for computing expected value of sample information for survival data from an ongoing trial. Medical Decision Making, 42(5), 612-625. Kunst, N., Wilson, E. C., Glynn, D., Alarid-Escudero, F., Baio, G., Brennan, A., ... & Heath, A. (2020). Computing the expected value of sample information efficiently: practical guidance and recommendations for four model-based methods. Value in Health, 23(6), 734-742. Tu, Z., & Shen, J. (2024). Economic valuation of open research data: A conceptual framework and methodological approach. Research Evaluation, 33, rvae033. Burlig, F., Preonas, L., & Woerman, M. (2020). Panel data and experimental design. Journal of Development Economics, 144, 102458. Skatova, A., McDonald, R., Ma, S., & Maple, C. (2023). Unpacking privacy: Valuation of personal data protection. Plos one, 18(5), e0284581.

[중요] 게시판 내부 열람 안내

admleesa — Tue, 04 Aug 2026 10:18:01 +0000

[26.07.22., 레귤러 세미나] 김준형 - Mean field games for decentralized EV charging

admleesa — Tue, 04 Aug 2026 09:59:31 +0000

발표논문 Muhindo, S. M., Malhamé, R. P., & Joos, G. (2021). A novel mean field game-based strategy for charging electric vehicles in solar powered parking lots. Energies, 14(24), 8517. Aïd, R., Li, L., & Ludkovski, M. (2017). Capacity expansion games with application to competition in power generation investments. Journal of Economic Dynamics and Control, 84, 1-31. Dayanıklı, G., & Lauriere, M. (2024). Machine learning methods for large population games with applications in operations research. In Tutorials in Operations Research: Smarter Decisions for a Better World (pp. 50-89). INFORMS.

[26.07.14., 레귤러 세미나] 박준성 - Double marginalization and its solutions

admleesa — Tue, 04 Aug 2026 09:53:03 +0000

발표논문 Spengler, J. J. (1950). Vertical integration and antitrust policy. Journal of political economy, 58(4), 347-352. Weng, Z. K. (1995). Channel coordination and quantity discounts. Management science, 41(9), 1509-1522. Huberts, N. F., Wen, X., Dawid, H., Huisman, K. J., & Kort, P. M. (2025). Double marginalization because of external financing: Capacity investment under uncertainty. Management Science, 71(5), 3749-3767.

[26.07.08., 레귤러 세미나] 김종원 - Pricing for Data Assets Based on Data Quality, Quantity and Utility on the Perspective of Consumer H

admleesa — Tue, 04 Aug 2026 09:49:16 +0000

발표논문 Lin, J., Huang, Z., & Tang, Y. (2025). Pricing for data assets based on data quality, quantity and utility on the perspective of consumer heterogeneity. IEEE Transactions on Knowledge and Data Engineering, 37(6), 3641-3652.

[26.07.23., 중견과제 세미나] 유정민 - Auction-based incentive mechanism with personalized privacy protection in federated learning 등 3편

admleesa — Tue, 04 Aug 2026 09:44:45 +0000

발표논문 Siqin, Z., Xiaohong, W., Yonggen, G., Jie, T., BenFeng, C., & GuoQiang, L. (2025). Auction-based incentive mechanism with personalized privacy protection in federated learning. Machine Learning, 114(9), 199. Su, W., Wang, P., Wang, Z., Muhammad, A., Tao, T., Tong, X., & Zhang, Q. (2024). F2ul: Fairness-aware federated unlearning for data trading. IEEE Transactions on Mobile Computing, 23(12), 13539-13555. Han, X., Wang, L., Wu, J., & Fang, X. (2026). Data valuation for vertical federated learning: A model-free and privacy-preserving method. MIS Quarterly, 50(1), 177-210.

[26.07.23., 중견과제 세미나] 이희연 - Data market structures and data properties

admleesa — Tue, 04 Aug 2026 09:38:28 +0000

발표논문 Chaudhury, B. R., Garg, J., Sharma, E., & Song, J. (2026). Revenue-Optimal Pricing for Budget-Constrained Buyers in Data Markets. arXiv preprint arXiv:2602.13897. Ananthakrishnan, N., Fallah, A., & Jordan, M. I. (2026). Signaling in Data Markets via Free Samples. arXiv preprint arXiv:2602.16919. Alaei, S., Naby, A. D., & Makhdoumi, A. (2025, June). Incentivizing data collaboration: A mechanism design approach. In NeurIPS 2025 Workshop on Algorithmic Collective Action. Hakim, R., Papadimitriou, C., & Yannakakis, M. (2026). Fair Data-Exchange Mechanisms. arXiv preprint arXiv:2602.11417.

[26.05.27., 중견과제 세미나] 이준희 - Nonrivalry and the economics of data 등 3편

admleesa — Tue, 04 Aug 2026 09:28:49 +0000

발표논문 JonesCI, T. (2020). Nonrivalryandtheeconomicsofdata. AmericanEconomicReview, 110(9), 2819-2858. Bhargava, H., Dubus, A., Ronayne, D., & Shekhar, S. (2026). The strategic value of data sharing in interdependent markets. Management Science, 72(2), 1472-1488. Bimpikis, K., Crapis, D., & Tahbaz-Salehi, A. (2019). Information sale and competition. Management Science, 65(6), 2646-2664.

[26.05.27., 중견과제 세미나] 박준성 - Some insights on data privacy

admleesa — Tue, 04 Aug 2026 09:28:15 +0000

발표논문 Wu, J. (2025). Secondary market monetization and willingness to share personal data. Management Science, 71(10), 8471-8490. Lefrere, V., Warberg, L., Cheyre, C., Marotta, V., & Acquisti, A. (2026). Does privacy regulation harm content providers? A longitudinal analysis of the impact of the GDPR. Management Science, 72(3), 1727-1747. Moffett, J. W., Chisam, N., Martin, K. D., & Palmatier, R. W. (2025). Customer Data Privacy Stewardship. Journal of Marketing, 00222429251367342.

[26.05.27., 중견과제 세미나] 이윤곤 - Truthful incentive mechanism for federated learning with crowdsourced data labeling 외 2편

admleesa — Tue, 04 Aug 2026 09:27:29 +0000

발표논문 Zhao, Yuxi, Xiaowen Gong, and Shiwen Mao. "Truthful incentive mechanism for federated learning with crowdsourced data labeling." IEEE INFOCOM 2023-IEEE Conference on Computer Communications. IEEE, 2023. Kwon, Yongchan, and James Zou. "Beta shapley: a unified and noise-reduced data valuation framework for machine learning." arXiv preprint arXiv:2110.14049 (2021).

[26.05.15., 중견과제 세미나] 김종원 - The value of data records 외 2편

admleesa — Tue, 04 Aug 2026 09:26:52 +0000

발표논문 Galperti, S., Levkun, A., & Perego, J. (2024). The value of data records. Review of Economic Studies, 91(2), 1007-1038. Hagiu, A., & Wright, J. (2023). Data‐enabled learning, network effects, and competitive advantage. The RAND Journal of Economics, 54(4), 638-667.

[26.05.15., 중견과제 세미나] 유정민 - Value allocation mechanism for multi-agent data sharing in digital innovation network: Agent-based

admleesa — Tue, 04 Aug 2026 09:23:39 +0000

발표논문 Fan, R., Yang, L., Liu, D., & Hu, W. (2026). Value allocation mechanism for multi-agent data sharing in digital innovation network: Agent-based modeling. Expert Systems with Applications, 299, 130124. Chen, Y., Wang, W., Pan, L., Song, J., Yan, Y., Hong, Q., ... & Wang, J. (2026). Multiphysics-embedded co-optimization of data centers and energy storage systems. IEEE Transactions on Industry Applications. Zhang, J., Guo, X., & Peng, Y. (2025). Incentive Mechanism for Data Sharing in Smart Manufacturing Under the Industrial Internet. IEEE Access.

[26.05.13., 중견과제 세미나] 성연찬 - Data trading with multiple owners, collectors, and users An iterative auction mechanism 외 3편

admleesa — Tue, 04 Aug 2026 09:21:55 +0000

발표논문 Cao, X., Chen, Y., & Liu, K. R. (2017). Data trading with multiple owners, collectors, and users: An iterative auction mechanism. IEEE Transactions on Signal and Information Processing over Networks, 3(2), 268-281. Dütting, P., Feng, Z., Narasimhan, H., Parkes, D., & Ravindranath, S. S. (2019, May). Optimal auctions through deep learning. In International Conference on Machine Learning (pp. 1706-1715). PMLR. Li, J., Li, J., Wang, X., Qin, R., Yuan, Y., & Wang, F. Y. (2023). Multi-blockchain based data trading markets with novel pricing mechanisms. IEEE/CAA Journal of Automatica Sinica, 10(12), 2222-2232.

[26.05.13., 중견과제 세미나] 김준형 - Online data valuation and pricing for machine learning tasks in mobile health 외 3편

admleesa — Tue, 04 Aug 2026 09:13:36 +0000

발표논문 Xu, A., Zheng, Z., Wu, F., & Chen, G. (2022, May). Online data valuation and pricing for machine learning tasks in mobile health. In IEEE INFOCOM 2022-IEEE Conference on Computer Communications (pp. 850-859). IEEE. Lu, Y., Wang, J., Liu, L., & Yang, H. (2024). Get by how much you pay: A novel data pricing scheme for data trading. Information Processing & Management, 61(6), 103849. Zhang, C., Xu, Y., Kang, R., Liu, Z., Li, H., Xiao, S., & Sun, P. (2026). Pricing and Trading of Data Options on Data-as-a-Service Platforms. IEEE Transactions on Services Computing.

[2025.6.4.~5.] 2026 춘계공동학술대회 (경주, 한화리조트)

admleesa — Wed, 24 Jun 2026 16:10:10 +0000