Year: 2021
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Workshop: Uncertainty Quantification: Theory Meets Practice
The Texas A&M Institute of Data Science (TAMIDS) is hosting a one-day workshop on November 5, 2021, to bring together TAMU researchers across different colleges and disciplines with common interests in the intersection of Uncertainty Quantification and Machine Learning. Read more
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Workshop: Large-scale Geospatial Data Analysis with R
Analysis of large-scale geospatial data (regional- to global scale at high spatial and temporal resolution) can be computationally expensive and time-consuming, especially when working with multiple formats and sources of data. Participants it this half-day workshop, to be held on November 4, 2021, will learn how R provides a powerful computational alternative to popular Geographic… Read more
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TAMIDS Tech Talk Series: Amir Sagiv: Local and Optimal Transport Perspectives on Uncertainty Quantification
Dr. Amir Sagiv, an Assistant Professor of Applied Mathematics at Columbia University, will present an online seminar in the TAMIDS Tech Talk Series on “Local and Optimal Transport Perspectives on Uncertainty Quantification,” on Thursday, October 14th, 2021, at 2:30pm. Read more
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Fall 2021 Data Science Seminar Series: Thomas Strohmer: Mathematical Methods for Privacy-Preserving Machine Learning
Thomas Strohmer, a Professor of Mathematics and the Director of the Center of Data Science and Artificial Intelligence Research at the University of California, Davis, will present an online seminar in the Fall 2021 Data Science Seminar Series on “Mathematical Methods for Privacy-Preserving Machine Learning” on Thursday October 11th, 2021, 8-9pm CT. Read more
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Transportation Data Science Seminar Series: Xiaojiang Li: Urban Streetscape and Human Movement Dynamics
Xiaojiang Li, an Assistant Professor of Urban Analytics and Spatial Data Science in the Department of Geography and Urban Studies at Temple University, will present an online seminar in the Transportation Data Science Seminar Series on “Urban Streetscape and Human Movement Dynamics” on Thursday October 7th, 2021, 8-9pm CT. Read more
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Fall 2021 Data Science Seminar Series: David Simchi-Levi: Statistical Learning in Operations: The Interplay between Online and Offline Learning
Dr. David Simchi-Levi, a Professor of Engineering Systems and Head of the Data Science Lab at Massachusetts Institute of Technology, will present an online seminar on “Statistical Learning in Operations: The Interplay between Online and Offline Learning” on Monday, October 4th, 2021, at 1:50pm. Read more
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Data Justice Lab Seminar Series: Ruihong Huang: Detecting Online Hate Speech Using Both Supervised and Weakly Supervised Approaches
Dr. Ruihong Huang, an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University University, will present an online seminar on “Detecting Online Hate Speech Using Both Supervised and Weakly Supervised Approaches,” on September 29th, 2021, at 10-11am CT. Read more
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Fall 2021 Data Science Seminar Series: Johan Ugander: Learning Preferences with Irrelevant Alternatives
Dr. Johan Ugander, an Assistant Professor in the Department of Management Science and Engineering at Stanford University, will present an online seminar on “Learning Preferences with Irrelevant Alternatives” on Monday, September 27th, 2021, at 1:50pm. Read more
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Transportation Data Science Seminar Series: Yunlong Zhang: Using an Interpretable Machine Learning Framework to Understand Mobility and Reliability Considerations in Truck Drivers’ Route Choice
Yunlong Zhang, a Professor with the Zachry Department of Civil and Environmental Engineering at Texas A&M University, and a joint venture with the the Texas A&M Transportation Institute, will present an online seminar in the Transportation Data Science Seminar Series on “Using an Interpretable Machine Learning Framework to Understand Mobility and Reliability Considerations in Truck… Read more
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Fall 2021 Data Science Seminar Series: Chen Wang: Translational Bioinformatics: Go Deep and Go Broad – Working Examples in Deciphering Molecular Heterogeneity of Ovarian Cancer
Dr. Chen Wang, an Associate Professor in the Department of Biomedical Informatics, Mayo Clinic College of Medicine, will present an online seminar on Translational Bioinformatics: Go Deep and Go Broad – Working Examples in Deciphering Molecular Heterogeneity of Ovarian Cancer on Monday, September 20th, 2021, at 1:50pm. Read more













