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个人简介
Michael Siegel is a Principal Research Scientist at the MIT Sloan School of Management and is currently the Co-Director of the PROductivity from Information Technology (PROFIT) Project. Siegel’s research interests include the integration and use of information from multiple and the use of modeling and data analytics to analyze complex systems.
His work has been published in areas including the use of information technology in financial risk management and global financial systems, cybersecurity, applications of computation social science to analyze state stability, digital business, financial account aggregation, healthcare information systems, heterogeneous database systems, managing data semantics, query optimization, intelligent database systems, and learning in database systems.
His work has been published in areas including the use of information technology in financial risk management and global financial systems, cybersecurity, applications of computation social science to analyze state stability, digital business, financial account aggregation, healthcare information systems, heterogeneous database systems, managing data semantics, query optimization, intelligent database systems, and learning in database systems.
研究兴趣
论文共 141 篇作者统计合作学者相似作者
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arxiv(2024)
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International Conference on Information Systems Security and Privacypp.112-119, (2024)
ACM Transactions on Management Information Systems (2023)
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HICSSpp.6088-6097, (2023)
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Lessons in Leadership from the White House to Your Housepp.108-154, (2022)
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Lessons in Leadership from the White House to Your Housepp.46-107, (2022)
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ACM Transactions on Management Information Systems (2022)
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