Author Mentorship Program Sign-up Form (Mentee)

This program involves up to 2.5 months of mentorship. As a mentee, you will receive feedback/ suggestions for improvement on aspects such as (1) the direction of the design; (2) models and experiments; (3) results analysis; (4) presentation/organization of the final paper you plan to submit to ML4H 2023.

Mentees and mentors are encouraged to have bi-weekly one-hour meetings to discuss the paper's progress (e.g., the mentors and mentees matched during the first round will have approximately four one-hour meetings over eight weeks).

Mentorship applications continue to be accepted on a rolling basis. Currently, as all mentors have been assigned, new applicants will be added to a waitlist until new mentors can be identified. As the Author Mentorship Program ends on Sept 7, new applicants on the waitlist may not receive a match in time for the ML4H submission deadline.

Timeline for first round matches:
June 18 – June 19: Details about initial mentee-mentor pair-ups are sent out.
June 19 – June 23: Mentees are expected to initiate contact with their mentor and arrange an initial meeting. In this meeting, the mentees should discuss the paper’s idea and outline with the mentors as well as the plan (dates, format, expectations, etc) for their bi-weekly meetings.
June 23 – Sept 7: The mentors and mentees will meet on a bi-weekly basis to work on the paper. After each meeting, the mentees are expected to incorporate the mentors’ feedback and send an updated draft of the paper to the mentors.
Sept 7: ML4H Submission deadline.

Mentors and mentees will be matched at random based on your shared research areas.
Sign in to Google to save your progress. Learn more
Name *
Email *
Please provide your full email address, e.g. username@domain.edu
Institution / Affiliation *
What is your training status? *
Background (industry, academic, clinical, etc) *
Submission Area(s)
Primary Area
Secondary Area
Active Learning / Continuous Learning Systems
Adversarial ML
Algorithmic Fairness / Bias
Bayesian Learning
Causal Inference
Claims Data
Dataset Release and/or Characterization
Deployment
Economics
Electronic Health Records
Few / Zero Shot Learning
Generalization / Distribution Shift
Generative Models / GANs
HCI / Data Visualization
Interpretability
Medical Image Analysis / Computer Vision
Mobile Health
Natural Language Processing
Networks & Graphs
Omics
Open Software
Patient Generated Health Data
Pretraining / Transfer Learning
Population Health / Public Health
Privacy / Security
Reinforcement Learning
Representation Learning
Reproducibility
Scalability
Semisupervised Learning / Distant Supervision
Signal Processing / Time Series
Social Determinants of Health
Spatiotemporal Data
Survival Analysis
Uncertainty
Unsupervised Learning
Machine Learning in Clinical Practice
Which track are you planning to submit to? *
Please briefly describe the work you intend to submit to ML4H 2023: *
Please select the current stage of your work: *
Required
How many ML projects have you completed in the past? *
What do you hope to gain from working with a mentor as part of the Author Mentorship Program? *
Pronouns (optional for diversity evaluation)
e.g. she/her, he/him, they/them, etc.
Race / Ethnicity (optional for diversity evaluation)
Anything else you'd like us to know?
Do you have any suggestions for the mentorship program?
Submit
Clear form
Never submit passwords through Google Forms.
This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy
Google Forms