Heather Ascani University of MichiganUnited States

Time	Session

15:45 16:45	How to Use Big Data in Kidney Discovery Research Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States Maria F. Gomez Chairperson maria.gomez@med.lu.seSweden Summary of Big Data and Open Science Pre-symposium Wenjun Ju Speaker wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States Panel Discussion Anil Karihaloo Speaker akqq@novonordisk.comNovo NordiskUnited States Darren Kelly Speaker dkelly@certatherapeutics.comCerta TherapeuticsAustralia Heather Ascani Speaker ascanihk@med.umich.eduUniversity of MichiganUnited States Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States Olga Troyanskaya Speaker ogt@genomics.princeton.eduPrinceton UniversityUnited States Moderated Free Communication with Panelists Summary and Conclusion Maria F. Gomez Speaker maria.gomez@med.lu.seSweden MR 109 CDHG

Time

Session

15:45

16:45

How to Use Big Data in Kidney Discovery Research

Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States

Maria F. Gomez Chairperson maria.gomez@med.lu.seSweden

Summary of Big Data and Open Science Pre-symposium

Wenjun Ju Speaker wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
Panel Discussion

Anil Karihaloo Speaker akqq@novonordisk.comNovo NordiskUnited States

Darren Kelly Speaker dkelly@certatherapeutics.comCerta TherapeuticsAustralia

Heather Ascani Speaker ascanihk@med.umich.eduUniversity of MichiganUnited States

Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States

Olga Troyanskaya Speaker ogt@genomics.princeton.eduPrinceton UniversityUnited States
Moderated Free Communication with Panelists
Summary and Conclusion

Maria F. Gomez Speaker maria.gomez@med.lu.seSweden

MR 109 CDHG

Time	Session

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

Time

Session

14:00

16:00

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

MR 109 CDHG