I have so far used 20$ subscription but hit the limit after a couple of hours. So, I am contemplating if 100 USD per month is worth it. Any comments?

Guys I have a question do authors actually provide there datasets to students, who are doing independent research ?

I’m an industrial design student doing exploratory research for my senior project on how professionals physically interact with complex 3D software.

I need adults (18+) who use CAD, or 3D software at least weekly for professional work, freelance work, or advanced study. The anonymous survey takes about 5–7 minutes and asks about their software, mouse/keyboard or specialized hardware setup, repeated workflow frustrations, and what already works well.

I’ve tried finding relevant subreddits, carefully reading rules, and messaging moderators when a community requires approval. But I keep hitting minimum-karma restrictions, blanket no-survey rules, or moderators who never reply. It’s honestly much harder than I expected.

I’m not posting the survey or asking anyone here to take it. I’m asking people who have recruited a professional population before: what actually worked for you?

I’m aiming for roughly 50–75 completed responses for an exploratory project. Should I keep trying targeted Reddit communities, focus on direct professional contacts and online groups, or look somewhere else entirely? And how do you get busy professionals to care enough to complete a short survey?

Hello, to people experienced in science and research, I have a question about how you properly and efficiently research factual questions that require credible citations.

For example, if I were asked to differentiate between metamorphic and igneous rocks, would I simply search keywords on Google Scholar, ScienceDirect, PubMed/PMC, etc., and go through the results until I find something relevant? I usually do this, but I feel like I am doing it inefficiently. I often find articles that are either too broad, too specific, outdated, or only indirectly related to what I need. I end up spending a lot of time reading titles, abstracts, and sections just to determine whether a source is useful.

I experienced this when researching the nutritional needs of elephants for a one-page essay. It took me almost an entire day to gather enough relevant sources, while a friend was able to find around 20 useful articles within five minutes. It made me wonder what I am doing wrong. Is it mainly my choice of keywords, how I use research databases, my ability to skim papers, or simply my lack of experience?

I also struggle with deciding whether a source is appropriate for a specific claim. For example, if I need a basic definition of a tendon but find an article about the relationship between muscles and tendons that only briefly defines tendons, is that sufficient to cite? Or should I look for a source specifically focused on tendon structure and function? Likewise, how broad or narrow can a source be compared with the information I actually need?

Basically, I want to understand how experienced researchers efficiently go from a question, to search terms, to relevant sources, and finally to evidence that properly supports their claims. I feel like I spend far too much time searching for information that should be relatively straightforward, so I would really appreciate some practical advice on how to improve this process.

Hello guys im starting a medical narrative review project, but i got one query.

When we are reading a review, do we cite the review or the original source from where the review wrote it from

Chatgpt and Claude tell me that I should cite original discoveries but for well established facts like " smoking causes lung cancer" I should just cite the review i got it from

My supervisor is currently on leave and is not responding to my messages

i am quite confuse on what kind of sources i can use to make a conceptual definition for my terms, terms that you have to put in the Definition of Terms.

is it okay to just use dictionary or articles, or is it necessary to use studies?

I've noticed something with my two juniors: they were both so fixated on getting everything perfect that they kept delaying actually finishing the work. I told them multiple times that at some point you just have to call it done, but apparently “good enough” is a difficult concept to accept when you're doing a thesis. Honestly, don't spend forever chasing some version of perfection that probably doesn't exist. If your thesis is solid, submit it and move on with your life. You can always find one more thing to change if you keep looking.

I'm a student who's been getting increasingly interested in the finance/economics side of the space industry — things like how space companies get funded, how we should value them, whether certain infrastructure can actually become commercially viable, and what happens when space resources become economically useful.

I've found the subject surprisingly difficult to study because space and finance often seem to live in separate worlds. You can find plenty of technical research on rockets, satellites, lunar bases, asteroid mining, etc., but much less on the question of how the economics actually work.

I've mostly been learning by combining aerospace research with finance/economic analysis, and honestly, it's made me realize how many basic questions don't have straightforward answers yet.

So I'm curious:

Are there other students here doing research or projects around space economics, space finance, or the commercial side of space? What are you working on, and what have you found most difficult to figure out?

I'd especially love to hear from people approaching this from different backgrounds — economics, finance, engineering, physics, or even just independent research.

Hi all. I am a student that has been working at a research institute in a part-time role. An identified dataset was shared via link, and it opened through my school account when I clicked on it (as that is what I am logged into for my search engine). I made comments using my school account, breaching the data agreement.
The link was set to allow anyone with the link to access it, which is why I didn’t get bounced back when opening it on my school’s search engine. I’ve walked through the deletion process with my school IT and supervisor, and am working with them to form a data mismanagement report. How bad is this? I can’t believe I didn’t notice my school email in the comments.

I want to get into human medicine research, since that’s my field. Does anyone know how I could get started? Even though I’m already in my seventh year of medical school and hadn't really thought about it before, I’d like to start doing research because I think it’s a great thing. Do you know if I can take courses or how I might go about this? Also, how can I find guidance on becoming a good researcher, or how do I begin? I’d love to hear from people who have already started in this field—how did you do it?

Third-year PhD student, NLP / interpretability. I want a reality check from people doing similar work.

I started using Claude Code for the boring parts: argparse boilerplate, plotting, config wrangling. Over the last few months the scope has crept. It now writes most of my experiment scaffolding, refactors my dataloaders, does first-pass debugging on training runs, and drafts the analysis scripts. I mostly read diffs and say yes.

The output is fine. My throughput is up. The thing bothering me is that I no longer hold my own codebase in my head. When a result looks off, I used to have an instinct about which line was lying to me. Now I go hunting like it’s someone else’s repo. I catch bugs later than I used to, and I catch them by reasoning about the numbers rather than by knowing the code.

I don’t think the tool is the problem. I think I delegated a layer that was doing more for my understanding than I gave it credit for.

Questions for people further along or in the same spot:

1. Roughly what fraction of your research code do you write yourself now?
   
2. Is there anything you deliberately refuse to hand off? (For me I think the eval harness and anything defining a metric should stay mine, but I keep breaking my own rule.)
   
3. Does anyone have a workflow that keeps the speedup without the detachment? Reading the diff line by line is not cutting it.
   
4. Advisors / postdocs: are you seeing this in students, and does it show up in the work?

Not looking for a “tools are just tools” answer. I’m asking about the specific feeling of not owning your own experiments anymore.

hello,
I’m a master’s student in Applied Linguistics and would love to connect with others who share the same interests. Feel free to reach out!

Hello everyone, I‘m an undergrad psychology student and I‘m planning to go into neuropsychology and related research. I was wondering if those free Harvard courses with a certificate are actually helpful and taken seriously in the real research world. I would be interested in their data science courses for example. If anyone had some insight in that I‘d be very grateful! Thank you in advance!

I’m a first-year B.Tech Biotechnology student in India, only a month and a half into my undergraduate degree. I recently connected with a very senior scientist who is a Director at a medical research laboratory of national importance.

I’m very interested in molecular biology, disease mechanisms and neuroscience. Long-term, I want to pursue research seriously, ideally aiming for a direct/converted PhD abroad after completing my B.Tech. I know I’m extremely early in the journey, so right now I’m more interested in learning how to build the right foundation and eventually become ready for good laboratory opportunities.

After I told him about my interests, he sent me this message:

It is wonderful to see your inquisitiveness, vision, and perseverance in pursuing your goals. Such qualities are rarely seen in someone so young, yet they are remarkably similar to the traits that have shaped many great scientists around the world.

Your curiosity and determination are truly a blessing, not only for you, but potentially for the world at large and India in particular. Please preserve this spirit and continue to nurture your inquisitiveness as you grow in age, experience, and academic journey. Always remember: nothing is beyond reach when you have a dream and pursue it with dedication, determination, and perseverance. I am confident that these qualities will make you an achiever.

I would feel privileged to contribute, in whatever small way I can, to your journey. I am just an ordinary person, but life and experience have taught me a few things, and I will always try to live up to your expectations. I promise to always be there for you whenever you need me.

Conversations, anytime. No worry, I am not at all a busy person.

Now I’m honestly unsure how to take this forward. 😭

I don’t want to immediately ask him for an internship or make every conversation about opportunities. I genuinely want to learn from his experience and have meaningful scientific conversations, but I’m not sure what is appropriate to discuss with someone at his level.

What would you suggest I talk to him about? Should I ask about his research journey, discuss scientific topics I’m curious about, ask how I should prepare during first year, or something else? And at what point would it be natural to have a call or more regular conversations?

Would really appreciate advice from researchers, PhD students, or anyone who has been in a similar situation.

Like… I want to try dating a researcher
But how can I meet them?
I’ve always respected them, and now I’ve finally started to take an interest in them as people. I realize that I’ve come to think this way partly because there are absolutely no researchers in my circle. But I just have to know.

Maybe I should read a lot of research papers and try to develop the same level of wisdom and ethical standards as they do? Or should I attend academic conferences? I really don't know.

Long story short I have a first-class MSc in Biomedical Science and have been applying for so many research assistant roles and havent even gotten as far as getting interviewed for any. Even for a research project for which I fit all essential and desirable criteria, had experience in all of the listed laboratory techniques, and had 2 years experience working with the same cell types under a very similar project.

I have lots of laboratory experience, I have done volunteering in tissue culture laboratories to supervise BSc and MSc students, I have done tutoring at university level, I have also done some voluntary work on some research projects. In terms of my CV and cover letters I have been working with careers teams which generally say all looks good. Yet I havent even been interviewed for any of my applications.

Is there something I am missing? I understand there is lots of applicants for each role however surely things are not this bad.

Any advice and guidance on how I could improve my chances of landing a research assistant role would be greatly appreciated.

Thank you in advance for your time.

You know when youre doing something and think ok this should take like an hour max

and then somehow one tiny problem turns into another problem and then another and suddenly youve spent the whole week 😭😭😭 trying to figure out...... what went wrong

What should a real research opportunity for a 13-, 15-, or 17-year-old actually look like?

Young students are still learning the fundamentals of biology, disease, genes, pathways, and evidence. But curiosity often shows up long before formal readiness does.

That creates an interesting tension: if we make research too advanced, we lose them. If we simplify it too much, it stops being research.

Maybe the real skill is helping students start with a big question, then learn how to break it into smaller pieces without losing the bigger biological picture. A disease is rarely just one gene or one pathway. The interesting part is often in how those layers connect.

And the support clearly shouldn’t look the same for a middle-schooler, a freshman, and a senior.

I’d especially love to hear from students: what kind of support makes research feel exciting rather than overwhelming? And from mentors, where do you draw the line between scaffolding and doing too much for them?

Small AI note: I used AI to help tighten the wording. The questions and perspective are mine.

Hi everyone, sorry if this is a silly question. I'm 20 and not in tertiary education, so this wasn't really taught to me. But how do I research any topic (general or niche) without the use of AI?

I'm aware of google scholar, but I try to avoid using google services because of their privacy violations and predatory practices. I'm open to changing my mind though, if you think using it is justified.

I would really appreciate if you listed free options and sources, especially ones where research is downloadable for offline viewing.

Also is there any way for me to tell if someone has used AI in their research? Or are there reputable sources which don't use AI?

Any additional advice or tips you feel is important to say would be greatly appreciated, thank you.

I am a lecturer in interdisciplinary studies combining linguistics and medicine. During my doctoral years, I worked on second language acquisition. After enrolling in a medical university and receiving grants, I started to focus on studies in language impairment, especially with people having depression.

As required, I should publish articles related to my grants which is quite hard and time-consuming due to the data collecting and processing involved. Meanwhile, I am always driven by the curiosity of knowing how effective AI can be in teaching, spending time on doing experiments in class.

Consequently, I am getting extremely anxious about my evaluation on publication.

How do you guys deal with this? Thanks for your suggestions.

what all things to keep in mind before one goes about asking professors for research guidance and projects? How does one decide which professors to go to ?

And as an inexperienced individual, how does one see if the work in the research project would actually help in the future ?

Hi 👋

I just launched a new research journal, and since it’s not affiliated with any institutions, I don’t have the base for an editorial board now. Also it is not indexed because I haven’t published any articles (indexing can be done after publishing some peer reviewed papers).

When I research about researchers that fit the scope of my journal, and then contact them to be a part of the journal, no one answers.

One of them said that I am a predatory journal. Absolutely understandable! I receive those emails too often. But how can I invite them to be a part of the editorial board and also be believed.

In the start and the end of the email I write that I am not a spam or predatory and I can provide the information to prove it. But again…

It is just a dream to have my own journal but it is getting harder than I thought to get started.

Clarification: I am not promoting my journal, nor inviting anyone from here. I just want to discuss and get some help.

Any tips?

Hey everyone,
I’m part of a small initiative running an ongoing international research project focused on a social matter. Because I’m not formally trained as a researcher by profession, I’ve essentially been building the plane while flying it regarding data collection and organization.

We’ve now accumulated a massive amount of data from diverse sources, and the collation and analysis phase is becoming a bottleneck.🤪

For those of you who handle large datasets or work independently:
What are your go-to software tools, frameworks, or step-by-step workflows to make sorting and analyzing a large volume of non-traditional data manageable for a solo or small-team setup?

Are there any common pitfalls a self-taught researcher should watch out for when trying to structure a large international dataset?

I’d love to hear how more experienced people streamline this process or what resources you recommend reading up on.

Thanks in advance!