3 ms·
Here are some maybe sort of out there ideas I came up with: 1. Be in the process of getting a masters degree. No one really cares at the end of the day as long
by sam0x17 8y ago
Here are some maybe sort of out there ideas I came up with:
1. Be in the process of getting a masters degree. No one really cares at the end of the day as long as you are a graduate student affiliated with a decent school (this may be field-dependent). In CS you can easily publish for example as a masters student at brown -- I have a friend who had no problem doing this with no co-authors and never went on to get a PhD, but he was at an Ivy League school.
2. Find an academic friend or a former professor/adviser in your field and be his/her co-author. This has the added benefit of potentially increasing the quality of the research if they agree to edit/help you with it. Could be combined with option 4.
2. Be a former academic and publish to ArXiv using your old academic email address (not really publishing, but at least people can cite it at that point).
3. Publish to ArXiv without an academic email address. People will be able to cite it, but you won't be "published" per say (in the deep learning community many, many citations are to preprint servers). People not familiar with academia won't know the difference and will still be impressed if you say list it on your resume under publications.
4. Form an LLC, make a good website about how your company does research in X field, and self-publish as a "white paper" (I took this approach a few years ago, but I no longer maintain the website). In some industries, much of the significant research is contained in white papers or company funded papers. It might also be possible to submit to a conference/journal under the auspice of a company -- I don't know how that works though.
5. Get in touch with the journal/conference you want to submit to and explain your situation and ask for advice. Depending on the venue they might be very accommodating.
A note on "funding". At least in the CS community, funding is often not needed to conduct groundbreaking research as it's 99% of the time just you sitting at a computer. There are exceptions, but I think in CS being self-funded isn't going to raise as many eyebrows as in other fields.