Schedule & Logistics

Session 1: June 17, 2024 – June 22, 2024

Location: Central Campus Classroom Building (CCCB)(1225 Geddes Ave, Ann Arbor, MI 48109)

*Schedule subject to change*

Day #1: Monday, June 17

TimeSessionLocation
7:00 AM – 3:00 PMRegistration, Hospitality and Tech Table OpenOutside of Rm. 3460
7:30 AM – 8:30 AMCheck-In and Network, Breakfast providedRm. 3460
8:30 AM – 9:30 AMWelcome and Bootcamp overview – (Presented by: Jing Liu, Executive Director, MIDAS, University of Michigan)Rm. 3460
9:30 AM – 9:45 AMBreak
9:45 AM – 11:45 AMIntroduction: Responsible conduct of research (RCR), rigor and reproducibility in the complex world of biomedical data science – (Presented by: Jing Liu, Executive Director, MIDAS, University of Michigan)Rm. 3460
11:45 AM – 12:00 PMBreak
12:00 PM – 1:00PMMeet your Mentor Team – Lunch providedRm. 3420
1:00 PM – 3:00 PMEthical issues in biomedical data science (1) – (Presented by: H. V. Jagadish, Edgar F Codd Distinguished University Professor & Bernard A Galler Collegiate Professor of Elec. Eng. and Computer Science; MIDAS Director, University of Michigan)Rm. 3420
3:00 PM – 3:15 PMBreak
3:15 PM – 5:15PMEthical issues in biomedical data science (2) – (Presented by: H. V. Jagadish, Edgar F Codd Distinguished University Professor & Bernard A Galler Collegiate Professor of Elec. Eng. and Computer Science; MIDAS Director, University of Michigan)Rm. 3420
5:15 PM – 5:30 PMBreakRm. 3420
5:30 PM – 7:00 PMTransformer-based AI in Biomedical Research (1) – (Presented by: Juan Gutiérrez, Professor, Chair of Mathematics, University of Texas at San Antonio)Rm. 3420

Day #2: Tuesday, June 18

TimeSessionLocationParallel SessionLocation
7:30 AM – 3:00 PMRegistration, Hospitality and Tech Table Openoutside of Rm. 3460
7:00 AM – 8:00 AMBreakfast on your own
8:00 AM – 10:00 AMMetadata – (Presented by: H. V. Jagadish, Edgar F Codd Distinguished University Professor & Bernard A Galler Collegiate Professor of Elec. Eng. and Computer Science; MIDAS Director, University of Michigan)Rm. 3460
10:00 AM – 10:15 AMBreak
10:15 AM – 11:15 AMData representation – (Presented by: H. V. Jagadish, Edgar F Codd Distinguished University Professor & Bernard A Galler Collegiate Professor of Elec. Eng. and Computer Science; MIDAS Director, University of Michigan)Rm. 3460
11:15 AM – 12:15 PMResearch lightning talksRm. 3460
12:15 PM – 1:00 PMLunch on your own 
1:00 PM – 3:00 PMReproducible workflows (1) – (Presented by: Johann Gagnon-Bartsch, Associate Professor of Statistics, College of Literature, Science, and the Arts, University of Michigan)Rm. 3460
3:00 PM – 3:15 PMBreakParallel session: All about data: Data management – (Presented by: Brenda Jenkins, Director of Training and Education, Jackson State University; Cliffton Addison, Associate Professor of Biostatistics, Jackson State University)Rm. 1420
3:15 PM – 5:15 PMData management (1) – (Presented by: Brenda Jenkins, Director of Training and Education, Jackson State University; Cliffton Addison, Associate Professor of Biostatistics, Jackson State University)Rm. 1420
5:15 PM – 5:30 PMBreak
5:30 PM – 7:00 PMTransformer-based AI in Biomedical Research (2) –  (Presented by: Juan Gutiérrez, Professor, Chair of Mathematics, University of Texas at San Antonio)Rm. 3420

Day #3: Wednesday, June 19

TimeSessionLocation
7:30 AM – 3:00 PMRegistration, Hospitality and Tech Table Openoutside of Rm. 3460
7:00 AM – 8:00 AMBreakfast on your own
8:00 AM – 10:00 AMData management (2) – (Presented by: Brenda Jenkins, Director of Training and Education, Jackson State University; Cliffton Addison, Associate Professor of Biostatistics, Jackson State University)Rm. 1420
10:00 AM – 10:15 AMBreak
10:15 AM – 12:15 PMRigorous statistical design (1) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 3460
12:15 PM – 1:00 PMLunch on your own
1:00 PM – 3:00 PMRigorous statistical design (2) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 3460
3:00 PM – 3:15 PMBreak
3:15 PM – 5:15PMRigorous statistical design (3) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 3460
5:15 PM – 5:30 PMBreak
5:30 PM – 7:00 PMTransformer-based AI in Biomedical Research (3) –  (Presented by: Juan Gutiérrez, Professor, Chair of Mathematics, University of Texas at San Antonio)Rm. 3420

Day #4: Thursday, June 20

TimeSessionLocationParallel SessionLocation
7:30 AM – 3:00 PMRegistration, Hospitality and Tech Table Openoutside of Rm. 3460
7:00 AM – 8:00 AMBreakfast on your own
8:00 AM – 10:00 AMData management (3) – (Presented by: Brenda Jenkins, Director of Training and Education, Jackson State University; Cliffton Addison, Associate Professor of Biostatistics, Jackson State University)Rm. 1420Parallel Session: Rigorous statistical design (4) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 3460
10:00 AM – 10:15 AMBreak
10:15 AM – 11:15 AMMeta-analysis (1) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 3460
11:15 AM – 12:15 PMResearch lightning talksRm. 3460
12:15 PM – 1:00 PMLunch on your own 
1:00 PM – 3:00 PMDesign and reporting of predictive models (1) – (Presented by: Arvind Rao, Associate Professor of Computational Medicine and Bioinformatics; Associate Professor of Radiation Oncology, Medical School and Associate Professor of Biostatistics, School of Public Health, University of Michigan)Rm. 1420
3:00 PM – 3:15 PMBreak
3:15 PM – 5:15 PMDesign and reporting of predictive models (2) – (Presented by: Arvind Rao, Associate Professor of Computational Medicine and Bioinformatics; Associate Professor of Radiation Oncology, Medical School and Associate Professor of Biostatistics, School of Public Health, University of Michigan)Rm. 1420
5:15 PM – 5:30 PMBreak
5:30 PM – 7:00 PMTransformer-based AI in Biomedical Research (4) – (Presented by: Juan Gutiérrez, Professor, Chair of Mathematics, University of Texas at San Antonio)Rm. 1420

Day #5: Friday, June 21

TimeSessionLocationParallel SessionLocation
7:30 AM – 3:00 PMRegistration, Hospitality and Tech Table Openoutside of Rm. 3460
7:00 AM – 8:00 AMBreakfast on your own
8:00 AM – 10:00 AMDesign and reporting of predictive models (3) – (Presented by: Arvind Rao, Associate Professor of Computational Medicine and Bioinformatics; Associate Professor of Radiation Oncology, Medical School and Associate Professor of Biostatistics, School of Public Health, University of Michigan)Rm. 3460Parallel Session: Reproducible workflows (2) – (Presented by: Johann Gagnon-Bartsch, Associate Professor of Statistics, College of Literature, Science, and the Arts, University of Michigan)Rm. 2420
10:00 AM – 10:15 AMBreak
10:15 AM – 12:15 PMReproducible workflows (3) – (Presented by: Johann Gagnon-Bartsch, Associate Professor of Statistics, College of Literature, Science, and the Arts, University of Michigan)Rm. 2420
12:15 PM – 1:00 PMLunch on your own
1:00 PM – 3:00 PMData Sharing (1) – (Presented by: Matt VanEseltine, Assistant Research Scientist, Survey Research Center, Institute for Social Research, University of Michigan)Rm. 0460Parallel Session: Reproducible workflows (4) – (Presented by: Johann Gagnon-Bartsch, Associate Professor of Statistics, College of Literature, Science, and the Arts, University of Michigan)Rm. 2420
3:00 PM – 3:15 PMBreak
3:15 PM – 4:15 PMMeta-analysis (2) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 1420Parallel Session: Open Team Project TimeRm. 3420
4:15 pm – 5:15 PMResearch lightning talkRm. 3420  
5:15 PM – 8:00 PMGrant writing coaching sessionRm. 3420

Day #6: Saturday, June 22

TimeSessionLocationParallel SessionLocation
7:30 AM – 3:00 PMRegistration, Hospitality and Tech Table Openoutside of Rm. 3460
7:00 AM – 8:00 AMBreakfast on your own
8:00 AM – 10:00 AMMeta-analysis (3) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 3460Data Sharing (2) – (Presented by: Matt VanEseltine, Assistant Research Scientist, Survey Research Center, Institute for Social Research, University of Michigan)Rm. 3420
10:00 AM – 10:15 AMBreak
10:15 AM – 12:15 PMMeta-analysis (4) – (Presented by: Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts; Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan)Rm. 3460Parallel Session: Design and reporting of predictive models (4) – (Presented by: Arvind Rao, Associate Professor of Computational Medicine and Bioinformatics; Associate Professor of Radiation Oncology, Medical School and Associate Professor of Biostatistics, School of Public Health, University of Michigan)Rm. 2460
12:15 PM – 12:45 PMAcademy wrap up and next steps  – (Presented by: Jing Liu, Executive Director, MIDAS, University of Michigan)Rm. 3460
12:45 PMEvent ends

Parking

Plan ahead!  Allow extra time if commuting each day. View available public parking in Ann Arbor here and real time occupancy counts and public parking structures here.

Please be aware that parking can be challenging. Handicapped accessible, faculty/staff designations, metered parking, and loading zones are enforced at all times.  Failure to obey posted signs and regulations may result in ticket(s).  The University of Michigan is not responsible for tickets nor will the University of Michigan pay for or refund any fines from tickets. 

Destination Ann Arbor 

Ann Arbor is a very walkable and bike friendly city. Destination Ann Arbor is a very helpful website that provides information about local events, restaurants, including transportation options for how to get around Ann Arbor (city bus, zipcar rental, etc) including to and from the airport.

Interactive Campus Map

View the interactive campus map.

Contact Us

If you have any questions, please reach out to: Kelly Psilidis (psilidis@umich.edu)