"Solutions to Mental Health in Tech" Peer Review

[bensmullen]

The “Solutions to Mental Health in Tech” group plans to make a model that can tell if people have mental health issues, even if they don’t seek treatment. People in the Tech industry work in pressure cooker work environments, but often don’t seek help if they need it. The ability to tell if employees need help for mental issues can help companies prevent employee personal catastrophes, and better construct mental health & wellness resources for their employees.

Things I like:

1. Mental health in the workplace (especially in the tech industry) has been a very hot topic in recent years. This model would be very desirable.
2. If the model succeeds, businesses will be able to increase workplace productivity by reducing the amount of wasted labor hours.
3. If the model succeeds and programs are implemented at work, people in tech may be better equipped to handle mental issues that arise in the workplace.

Things I don’t like:

1. I think that you may need some more data on mental health and tech employment. There are a myriad of different tech positions at the large number of tech companies in the US or around the world. If you can find more data, I am sure it will help make the model much more robust.
2. The data types range widely, meaning there will need to be feature transformations for many of the data’s features.
3. Mental health issues range widely from person to person. The model will likely have to distinguish between the types and severities of many mental health issues in order to make a complete and accurate model. Also, there will likely need to be a wide range of outputs/predictions.