Brian Athey University of MichiganUnited States

30 MARCH 2023

Time	Session

08:30 10:30	Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Big Data in Health and Medicine Brian Athey Chairperson bleu@umich.eduUniversity of MichiganUnited States Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States Improving Kidney Health Through Big Data and Data Science - Experience from China LuXia Zhang Speaker zhanglx@bjmu.edu.cnPeking University First HospitalChina Searching the Global Knowledge Base in Real Time: How Can Renal Researchers Responsibly Utilize ChatGTP and Related Resources in Research and Education. With Live Demonstrations and Discussion. Brian Athey Speaker bleu@umich.eduUniversity of MichiganUnited States The Future of Artificial Intelligence and Machine Learning in Kidney Health and Disease Girish Nadkarni Speaker girish.nadkarni@mountsinai.orgMount Sinai School of MedicineUnited States Q and A MR 109 CDHG
11:00 13:00	Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Systems Biology Large Scale Data Generation and Mining Brian Athey Chairperson bleu@umich.eduUniversity of MichiganUnited States Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States Federated Databases Bring Your Analyses to the Data; Experiences from BEAt-DKD and Beyond Mark Ibberson Speaker Mark.Ibberson@sib.swissDrSwitzerland Kidney Tissue Level Multiscalar Data Mining in CKD and AKI: Insights and Tools from KPMP Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States How Big Data Can Help Your Kidney Research; Only a Mouse Click Away Wenjun Ju Speaker wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States Q and A MR 109 CDHG
14:00 16:00	Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Panel discussion: Challenges and Opportunities of Big Data and Open Science in the Kidney Field. Hands-on Training: Online Data Mining for Molecular Analysis of Renal Disease Brian Athey Chairperson bleu@umich.eduUniversity of MichiganUnited States Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States Panel Discussion Girish Nadkarni Speaker girish.nadkarni@mountsinai.orgMount Sinai School of MedicineUnited States John Cijiang He Speaker cijiang.he@mssm.eduUnited States Heather Ascani Speaker ascanihk@med.umich.eduUniversity of MichiganUnited States Darren Kelly Speaker dkelly@certatherapeutics.comCerta TherapeuticsAustralia Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States Maria F. Gomez Speaker maria.gomez@med.lu.seSweden Hands-on Training: Online Data Mining for Molecular Analysis of Renal Disease MR 109 CDHG