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        "event_title":"Information Session Webinar- Michigan Program in Survey and Data Science (MPSDS)",
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        "combined_title":"Information Session Webinar- Michigan Program in Survey and Data Science (MPSDS): Dr. Brady West - Learn about the Michigan Program in Survey and Data Science",
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        "description":"Wednesday, October 12, 2002\r\n3:00 - 4:00pm\r\nRegistration is required.\r\n\r\nPlease join us October 12, 2022 to learn about the Michigan Program in Survey and Data Science. The speaker will be Dr. Brady West. \r\n \r\nAdvance registration is required, https:\/\/bit.ly\/3d3upwR\r\n\r\nThe Michigan Program in Survey and Data Science (MPSDS) offers graduate degrees that combine ideas and techniques for producing and analyzing data about humans and our society. Joint us to launch your career in this exciting and rewarding field in which scientists interpret the world through data.\r\n\r\nThe University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality \u2014 which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.",
        "occurrence_notes":"Registration Required (Free)",
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        "tags":["Anthropology","Applications","Biomedical","Biosciences","brown bag","Career","Climate and Space Sciences and Engineering","Data","Data Curation","Data Management","Data Science","Discussion","Economics","Education","Electrical Engineering and Computer Science","Free","Graduate","Graduate and Professional Students","Graduate School","Graduate Students","Health","Health Data","Humanities","Information and Technology","Interdisciplinary","International","Kinesiology","Lecture","Logit Scaling","Mathematics","Medicine","Multidisciplinary Design","Nursing","Online","Political Economy","Political Science","Politics","Professional Development","Prospective Graduate Students","Prospective Undergraduate Students","Psychology","Public Policy","Rackham","Research","Science","seminar","Social Media","Social Science","Social Sciences","Sociology","Staff","Survey Research","Talk","Undergraduate","Undergraduate Students","Virtual","Webinar"],
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        "event_title":"INFORMS+HFES Weekly Coffee Chats",
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        "event_title":"M&T Bank Information Blitz! - 10\/12\/2022",
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        "time_zone":"America\/Detroit",
        "event_title":"Public Affairs Virtual Information Session",
        "occurrence_title":"",
        "combined_title":"Public Affairs Virtual Information Session",
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        "event_type":"Careers \/ Jobs",
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        "description":"This two-yearlong program consists of projects that can range from assisting with marketing communications for Dow\u2019s business units, to creating social media and digital campaigns, to connecting with Dow\u2019s global employees to connecting with the media and reporters.\n\nYou willhave the opportunity to learn about the program and connect with members of Team Dow.\n\nVirtual Session Information: \nMeeting ID: 213 736 833 121\nPasscode: GJnQBn\n\nDow\u2019s ambition is to become the most innovative,customer centric, inclusive and sustainable materials science company. Our portfolio of plastics, industrial intermediates, coatings and silicones businesses delivers a broad range of differentiated science-based products and solutions for our customers in packaging, infrastructure and consumer care markets.",
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        "event_title":"2022 DEI Summit | Student Open House",
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        "tags":["Diversity","Diversity Equity and Inclusion","Diversity Summit"],
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        "event_title":"MIPSE Seminar | Extreme Plasma Astrophysics",
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        "event_title":"Ab-initio solid state chemistry as a new frontier of theory",
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        "combined_title":"Ab-initio solid state chemistry as a new frontier of theory: Dominika Zgid",
        "event_subtitle":"Dominika Zgid",
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        "description":"The search for new materials is at the core of the technological advancement of our society. While many newly synthesized materials can be analyzed by current quantum chemical techniques, mostly based on the density functional theory (DFT), there is a large number of materials that cannot be treated successfully by existing methodologies. This is mostly due to the presence of strong electron correlation, relativistic effects, and disorder. These materials require a post-DFT description that explicitly includes electron-electron interactions. \r\n\r\nIn my talk, I will discuss current theoretical challenges in the study of solid state materials and I will describe my group's contributions to the development of post-DFT methods. In the first part, I will present the newest relativistic methodologies for solids. In the second part, I will talk about the treatment of strongly correlated electrons residing in d- and f-orbitals of crystals with transition metals. Finally, I will sketch future directions for computational  ab-initio solid state chemistry.\r\n\r\n\nDominika Zgid",
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        "combined_title":"DCMB \/ CCMB Weekly Seminar: Ritambhara Singh (Assistant Prof., Brown University) presents, \"Towards Data Integration in Genomics Using Machine Learning\"",
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        "description":"Abstract:\r\n\r\nOur current understanding of how genes are regulated is akin to solving a jigsaw puzzle. Many factors governing gene expression have been identified, and researchers have collected a wide variety of related datasets. However, how these \"parts\" are pieced together to function as a whole remains unclear. In this talk, I will discuss our research to develop and apply state-of-the-art machine learning methods to genomics datasets to attempt to put together the pieces from the data. I will cover our work using deep learning architecture that captures the data's underlying structure to integrate datasets and connect them to gene expression via the prediction task. We also interpret the prediction results and tie them back to contributing factors to develop potential hypotheses related to gene regulation. I will then move from bulk data to the single-cell data domain and discuss methods to perform unsupervised integration of different types of single-cell experiments. This talk aims to highlight our research direction's potential to reveal the important gene regulatory mechanisms in characterizing cell types and diseases from the collected data.\r\n\r\nBio:\r\n\r\nRitambhara Singh is an Assistant Professor in the Computer Science department and a faculty member of the Center for Computational Molecular Biology at Brown University. Her research lab works at the intersection of machine learning and biology. Prior to joining Brown, Singh was a post-doctoral researcher in the Noble Lab at the University of Washington. She completed her Ph.D. in 2018 from the University of Virginia with Dr. Yanjun Qi as her advisor. Her research has involved developing machine learning algorithms for the analysis of biological data as well as applying deep learning models to novel biological and biomedical applications. She recently received the NHGRI Genomic Innovator Award for developing deep learning methods to integrate and model genomics datasets. URL: https:\/\/vivo.brown.edu\/display\/rsingh47",
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        "event_title":"On the optimal design of transfers and income-tax progressivity, with P. Gr\u00fcbener, G. Navarro and O. Vardishvili",
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        "combined_title":"On the optimal design of transfers and income-tax progressivity, with P. Gr\u00fcbener, G. Navarro and O. Vardishvili: Axelle Ferriere, Paris School of Economics",
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