Data and AI Intensive Research with Rigor and Reproducibility
(DAIR³)

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*

Time Session Location
7:00 AM – 3:00 PM Registration, Hospitality and Tech Table Open Outside of Rm. 3460
7:30 AM – 8:30 AM Check-In and Network, Breakfast provided Rm. 3460
8:30 AM – 9:30 AM Welcome and Bootcamp overview – (Presented by: Jing Liu, Executive Director, MIDAS, University of Michigan) Rm. 3460
9:30 AM – 9:45 AM Break
9:45 AM – 11:45 AM
Introduction: 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 PM Break
12:00 PM – 1:00PM Meet your Mentor Team – Lunch provided Rm. 3420
1:00 PM – 3:00 PM Ethical 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 PM Break
3:15 PM – 5:15PM Ethical 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 PM Break Rm. 3420
5:30 PM – 7:00 PM Transformer-based AI in Biomedical Research (1) – (Presented by: Juan Gutierrez, Professor, Chair of Mathematics, University of Texas at San Antonio) Rm. 3420
Time Session Location Parallel Session Location
7:30 AM – 3:00 PM Registration, Hospitality and Tech Table Open outside of Rm. 3460
7:00 AM – 8:00 AM Breakfast on your own
8:00 AM – 10:00 AM Metadata – (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 AM Break
10:15 AM – 11:15 AM Data 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 PM Research lightning talks
Rm. 3420
12:15 PM – 1:00 PM
Lunch on your own
 
1:00 PM – 3:00 PM Reproducible 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 PM Break Rm. 3420 Parallel 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 PM Data 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 PM Break
5:30 PM – 7:00 PM Transformer-based AI in Biomedical Research (2) – Dinner provided – (Presented by: Juan Gutierrez, Professor, Chair of Mathematics, University of Texas at San Antonio) Rm. 3420
Time Session Location
7:30 AM – 3:00 PM Registration, Hospitality and Tech Table Open outside of Rm. 3460
7:00 AM – 8:00 AM Breakfast on your own
8:00 AM – 10:00 AM Data 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 AM Break Rm. 3420
10:15 AM – 12:15 PM Rigorous 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 PM Lunch on your own
1:00 PM – 3:00 PM Rigorous 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 PM Break Rm. 3420
3:15 PM – 5:15PM Rigorous 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 PM Break
5:30 PM – 7:00 PM Transformer-based AI in Biomedical Research (3) – Dinner provided – (Presented by: Juan Gutierrez, Professor, Chair of Mathematics, University of Texas at San Antonio) Rm. 3420
Time Session Location Parallel Session Location
7:30 AM – 3:00 PM Registration, Hospitality and Tech Table Open outside of Rm. 3460
7:00 AM – 8:00 AM Breakfast on your own
8:00 AM – 10:00 AM Data management (3) – (Presented by: Brenda Jenkins, Director of Training and Education, Jackson State University; Cliffton Addison, Associate Professor of Biostatistics, Jackson State University) Rm. 1420 Parallel 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 AM Break
10:15 AM – 11:15 AM Meta-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 PM Research lightning talks Rm. 3460
12:15 PM – 1:00 PM
Lunch on your own
 
1:00 PM – 3:00 PM Design 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 PM Break
3:15 PM – 5:15 PM Design 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 PM break
5:30 PM – 7:00 PM Transformer-based AI in Biomedical Research (4) – (Presented by: Juan Gutierrez, Professor, Chair of Mathematics, University of Texas at San Antonio) Rm. 1420
Time Session Location Parallel Session Location
7:30 AM – 3:00 PM Registration, Hospitality and Tech Table Open outside of Rm. 3460
7:00 AM – 8:00 AM Breakfast on your own
8:00 AM – 10:00 AM Design and reporting of predictive models (3) Rm. 3460 Parallel 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 AM Break outside of Rm. 3460
10:15 AM – 12:15 PM Reproducible 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 PM Lunch on your own
1:00 PM – 3:00 PM Data Sharing (1) – (Presented by: Matt VanEseltine, Assistant Research Scientist, Survey Research Center, Institute for Social Research, University of Michigan) Rm. 0420 Parallel 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 PM Break Rm. 3420
3:15 PM – 4:15 PM Meta-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. 1420 Parallel Session: Open Team Project Time Rm. 3420
4:15 pm – 5:15 PM
Research lightning talk
Rm. 3420
   
5:15 PM – 8:00 PM Grant writing coaching session
Rm. 3420
Time Session Location Parallel Session Location
7:30 AM – 3:00 PM Registration, Hospitality and Tech Table Open outside of Rm. 3460
7:00 AM – 8:00 AM Breakfast on your own
8:00 AM – 10:00 AM Meta-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. 3460 Data 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 AM Break Rm. 3420
10:15 AM – 12:15 PM Meta-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. 3460 Parallel 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 PM Academy wrap up and next steps  – (Presented by: Jing Liu, Executive Director, MIDAS, University of Michigan) Rm. 3460
12:45 PM Event 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)