ML Community of Practice Member Survey (2023)
Greetings! Please fill out this brief survey so that we can better understand the backgrounds, practices, and needs of machine learning (ML) practitioners on campus, as well as to better plan our future events!

This survey takes 5 to 10 minutes to complete.
ML-Related Work
In this section we ask you 4 questions about your ML-related work
What ML methods are you learning or using for your ML-related work?
How often do you use these programming languages in your ML-related work?
Never
Rarely
Sometimes
Often
Java
Julia
Matlab
Scala
R
JavaScript
Python
C/C++
Clear selection
Are there any other languages you sometimes or often use in your ML-related work?
How often do you face these challenges in your ML-related work?
Never
Rarely
Sometimes
Often
Biased training data
Moral concerns (privacy, safety, transparency, bias, potential for harm, ensuring fairness, etc.)
Regulatory concerns (compliance with laws around protected data, auditing, FERPA, HIPAA, IRB, etc.)
Insufficient quantity of data
Insufficient computing capabilities (memory, storage space, lack of GPUs, etc.)
Insufficient quality of data
Difficulty determining the best model for your application
Lack of model explanability
Clear selection
Are there other challenges you sometimes or often face in your ML-related work?
In your ML-related work, how important are the following concerns to you?
Not important
A little important
Important
Very important
The model is not a black-box
The model is accurate
The model is unbiased
The model's results are interpretable by end-users
The model is well-documented (model use cases, training data sources, model cards, etc.)
The model leads to good impacts
Clear selection
Are their other things important to you in your ML-related work?
Workshops
In this section we ask you 1 question about topics for ML-related workshops on campus
How useful would the following workshop topics be to yourself, your peers, or your advisees?
These workshops typically take place over two 3-hour sessions. Upcoming training opportunities can be found here: https://datascience.wisc.edu/training-resources/ 
Not useful
A little useful
Useful
Very useful
How to Detect Bias in ML Applications
Intro to Deep Learning w/ Keras
Intro to Deep Learning w/ Pytorch
Intro to ML in R
Intro to Machine Learning Ethics
Intro to Docker
Intro to ML in Python
Intro to Time-Series Modeling
Intro to Clustering w/ Python
Intro to Generative Adversarial Networks
Intro to ML w/ High-Dimensional Data
Intro to Recurrent Neural Networks
Intro to Kubernetes
Intro to Reinforcement Learning
Clear selection
Are their other workshop topics that would be useful to you, your peers, or your advisees?
ML Community
In this section we ask you 4 questions about the ML Community and its events
How often have you attended the following ML Community events?
Never
Once
A few times
Several times
ML+X Forum
ML+Coffee Social
ML-related On-campus Workshops
Clear selection
How helpful would the following types of community events be for developing your skills, interests, and/or practice in ML?
Not helpful
A little helpful
Helpful
Very helpful
Lightning Talks, Opportunities to practice talking about your own research, Etc.
Socials, Meet & Greets, Learning what others are working on, Etc.
Asynchronous Workshops (online at your own pace)
Reading Groups, Regular meetings discussing topics/articles/tools/books of interest, Etc.
Synchronous Workshops (in-person or online with an instructor present)
Presentations, Seminars, Etc. with ML Experts
Connecting with Industry Members
Connecting with Madison-Area Community Members
Support for ML Teachers/Advisors
Working Groups, Regular meetings for peer-to-peer mentorship on specific tools, issue areas, programming languages, Etc.
Connecting with ML Experts
Clear selection
Are there other types of community events that would be helpful for your skills, interests, or practice in ML?
How often would you be able and willing to attend ML Community events if they were hosted at the following times?
Never
Rarely
Sometimes
Frequently
Before noon during the week
Around noon during the week
Between noon and 5pm during the week
After 5pm during the week
During the weekend
Clear selection
How often would you be able and willing to attend ML Community events if they were hosted at the following locations?
Never
Rarely
Sometimes
Frequently
Virtual
Discovery Building
Memorial Union
Health Sciences Learning Center
Madison Public Library Central Branch
Restaurant or bar near campus
Park/Outdoors (Bascom Hill, Elver, Picnic Point, James Madison, Olbrich)
Clear selection
Are their other locations you would want to attend ML Community events at?
Next
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