{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##
<< Back to Michigan Medicine
Client Logo
  • Sign In
  • Live Courses
  • RSS
  • On Demand
  • Planning Guide
  • About
  • Help
Close Login
{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##

If you are employed by the University of Michigan, you automatically have a MiCME account. You can Sign In using your University of Michigan username and password.

If you are not an employee of the University of Michigan, sign in below with the username and password used to create your account. If you have never Signed In,  please create an account by clicking on the red "Sign Up Now" button below. 

UM Sign In
Non-UM Sign In
Enter your email and password to login:

*
*
Login

New to MiCME? Create an Account:

Create New Account
Back to Login Provider Forgot Your Password?

Forgot Your Password?







Back to Login
{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##
Email is required Invalid: Enter valid email address
First Name is required
Last Name is required
Password is required


Password Requirements

  • Must be between 8 and 16 characters in length
  • Must Contain at least 1 upper case character
  • Must Contain at least 1 lower case character
  • Must contain at least 1 numeric character
  • Must contain at least 1 of the following ! * @ # $ % ^ & + =
Confirm password

Passwords must match
Password must be between 8 and 16 characters and contain the following:
•at least 1 upper case character
•at least 1 lower case character
•at least 1 numerical character
•at least 1 special character

  • -- Select Degree --
  • BSN
  • BSN, RN
  • CNM
  • CRNA
  • DDS
  • DMD
  • DO
  • DPM
  • DPT
  • JD
  • LCSW
  • LPN
  • MA
  • MBBS
  • MD
  • MD, MPH
  • MD, PhD
  • MHA
  • MPH
  • MS
  • MSN
  • MSN, NP
  • MSN, RN
  • MSW
  • None
  • NP
  • OD
  • Other
  • PA
  • PharmD
  • PhD
  • PsyD
  • PT
  • RN
Degree is required
Please enter your degree:
You must enter a degree

Profession is required

User Agreement

This form collects name, email address and other contact information so our support team can communicate and provide assistance. Please check our Privacy Policy to see how we protect and manage submitted data. By creating a MiCME powered by CloudCME account, you agree to have your contact information collected via this form. You must also consent below.


You must agree to the terms and conditions before registering.




Back to Login
Close Search Site Search: Enter your search terms in the field below to view results.

please enter a term to search
Close Specialties
{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##

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

  • Overview
  • Faculty
  • Schedule
Add to Calendar Data and AI Intensive Research with Rigor and Reproducibility (DAIR³) 6/16/2025 8:00:00 AM 6/21/2025 12:45:00 PM America/New_York For More Details: https://umich.cloud-cme.com/course/courseoverview?EID=81250 Description: The Data and AI Intensive Research with Rigor and Reproducibility (DAIR3) program includes weeklong bootcamps in the summer that focus on ethical issues in biomedical data science; data management, representation, and sharing; rigorous analytical design; the design and reporting of AI models; generative AI; reproducible workflow; and assessing findings across studies. Additionally, the bootcamp also in... University of Texas San Antonio false MM/DD/YYYY


Date & Location
Monday, June 16, 2025, 8:00 AM - Saturday, June 21, 2025, 12:45 PM EST, University of Texas San Antonio, San Antonio, TX

Target Audience
Specialties - ALL

Credits
AMA PRA Category 1 Credits™ (36.25 hours), Non-Physician Attendance (36.25 hours)

Overview
The Data and AI Intensive Research with Rigor and Reproducibility (DAIR3) program includes weeklong bootcamps in the summer that focus on ethical issues in biomedical data science; data management, representation, and sharing; rigorous analytical design; the design and reporting of AI models; generative AI; reproducible workflow; and assessing findings across studies. Additionally, the bootcamp also includes grant writing sessions and research collaboration discussions.

Objectives
At the conclusion of this activity, learners will be able to:

  1. Design and implement a training program in their home institution that replicates the key elements of this research collaboration training program.
  2. Carry out better data- and AI-intensive research.

Accreditation

This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providerships of the University of Michigan Medical School and MIDAS, University of Texas San Antonio, College of William and Mary, and Jackson State University. The University of Michigan Medical School is accredited by the ACCME to provide continuing medical education for physicians.

Credit Designation
AMA PRA Category 1 
The University of Michigan Medical School designates this Live Activity for a maximum of 36.25 AMA PRA Category 1 Credit(s)™.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.


Additional Information

Accessibility Statement

The University of Michigan Medical School is committed to ensuring that its programs, services, goods and facilities are accessible to individuals with disabilities as specified under Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Amendments Act of 2008.  If you have needs that require special accommodations, including dietary concerns, please contact the CME Activity Coordinator.

Questions? Please contact: Kelly Psilidis or Janet Gribbons



Keywords: LIVEAMA



Mitigation of Relevant Financial Relationships


The University of Michigan Medical School adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. All individuals in a position to control the content of a CE activity, including faculty, planners, or others are required to disclose all relevant financial relationships with ineligible entities. All relevant financial relationships have been mitigated prior to the commencement of the activity.

Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Brenda Campbell-Jenkins
Educational Co-Planner, Faculty
Non-Clinical Exception
Juan Gutierrez
Educational Co-Planner, Faculty
Non-Clinical Exception
Gregory J Hunt, PhD
Dr.
William & Mary
Educational Co-Planner, Faculty
Non-Clinical Exception
Jing Liu, PhD
PhD
Educational Co-Planner, Faculty
Non-Clinical Exception
Arvind Rao, PhD
PhD
University of Michigan Ann Arbor
Educational Planner, Faculty
Non-Clinical Exception
Clifton Addison
Faculty
Non-Clinical Exception
Yalanda Barner
Faculty
Non-Clinical Exception
H V V Jagadish, PhD
PhD
University of Michigan
Faculty
Non-Clinical Exception
Erin O'Brien Kaleba, MPH
MPH
University of Michigan Medical School
Faculty
Non-Clinical Exception
Jodyn Platt, MPH,PhD
MPH,PhD
University of Michigan Medical School
Faculty
Non-Clinical Exception
Kerby Shedden
Faculty
Non-Clinical Exception

Monday, June 16, 2025
Introduction: Responsible conduct of research (RCR), rigor and reproducibility in the complex world of biomedical data science
9:30AM - 11:00AM
Jodyn Platt, MPH,PhD

Ethical issues in biomedical data science
11:15AM - 12:45PM
Jodyn Platt, MPH,PhD

Data management (1)
2:30PM - 4:00PM
Clifton Addison
Brenda Campbell-Jenkins

Reproducible workflows (1)
4:15PM - 5:45PM
Gregory J Hunt, PhD

Tuesday, June 17, 2025
Reproducible workflows (2)
8:30AM - 10:30AM
Gregory J Hunt, PhD

Reproducible workflows (3)
10:45AM - 11:15AM
Gregory J Hunt, PhD

Reproducible workflows (4)
1:00PM - 2:30PM
Gregory J Hunt, PhD

Data management (2)
2:45PM - 4:15PM
Clifton Addison
Brenda Campbell-Jenkins

Transformer-based AI in Biomedical Research (1)
4:30PM - 5:30PM
Juan Gutierrez

Wednesday, June 18, 2025
Design and reporting of predictive models (1)
8:30AM - 10:30AM
Arvind Rao, PhD

Data Representation
10:45AM - 11:30AM
H V V Jagadish, PhD

Rigorous statistical design (1)
1:00PM - 3:00PM
Kerby Shedden

Design and reporting of predictive models (2)
4:00PM - 6:00PM
Arvind Rao, PhD

Thursday, June 19, 2025
Rigorous statistical design (2)
8:30AM - 10:30AM
Kerby Shedden

Meta-analysis (1)
10:45AM - 11:45AM
Kerby Shedden

Design and reporting of predictive models (3)
1:30PM - 3:30PM
Arvind Rao, PhD

Metadata
3:45PM - 4:30PM
Erin O'Brien Kaleba, MPH

Friday, June 20, 2025
Meta-analysis (2)
9:45AM - 11:15AM
Kerby Shedden

Data Sharing (1)
11:30AM - 12:30PM
Erin O'Brien Kaleba, MPH

Data Sharing (2)
1:30PM - 3:00PM
Erin O'Brien Kaleba, MPH

Transformer-based AI in Biomedical Research (2)
4:00PM - 5:30PM
Juan Gutierrez

Saturday, June 21, 2025
Meta-analysis (3)
8:30AM - 9:30AM
Kerby Shedden

Transformer-based AI in Biomedical Research (3)
9:45AM - 10:45AM
Juan Gutierrez

Rigorous statistical design (3)
11:00AM - 12:30PM
Kerby Shedden

Office of Continuing Medical Education and Lifelong Learning
1600 Huron Parkway Building #400
Ann Arbor, MI 48109-2800

©1995-2024 Regents of the University of Michigan Privacy Policy | Disclaimer | Non-Discrimination
ACCME Accreditation with Commendation

Powered By CloudCME