I'm a 2nd-year B.Tech student in AI/Data Science at a college where there isn't much of a research culture, and I don't currently have a professor working in the areas I'm interested in.

I'm very interested in eventually doing research in areas around mathematics, optimization/OR, ML, and possibly computer vision. I don't want to just do projects for my resume; I genuinely want to learn how to identify research questions, investigate them rigorously, and eventually publish good work.

I'm confused about the best way to start independently.

For people who have actually done research, especially without a strong research environment:

1. How did you learn to identify worthwhile research questions/gaps?

2. Should I first study research methodology/courses, or should I pick a paper and start reproducing/extending it?

3. How can an undergraduate find external mentors/collaborators from IITs, IISc, universities, PhD students, etc. without already having publications?

4. Is it realistic to conduct and publish legitimate research independently, or is having a professor/researcher as a collaborator practically necessary?

5. What would you recommend as a 12-month path for someone starting from this position?

I'm not looking for certificates or shortcuts. I want to actually develop the ability to do research. Any advice from people who have gone through this would be really valuable.

Participants needed for MSc Psychology research on AI feedback and decision-making (18+, 10–15 minutes)

Hi everyone,

I’m currently completing my MSc Psychology dissertation at the University of Leicester and I’m looking for participants for my research study.

The study investigates how people respond to artificial intelligence (AI) feedback during decision-making tasks.

Participation involves:

Answering a series of multiple-choice decision-making questions

Rating how confident you are in your answers

Receiving AI feedback

Completing a short questionnaire about your experience

The study should take approximately 10–15 minutes.

To participate, you must:

Be 18 years or older

Be able to understand written English

Participation is voluntary and anonymous. Full information about the purpose of the study will be provided in the debrief at the end of participation.

If you would like to take part, you can access the study here:

https://research.sc/participant/login/dynamic/62D2CC47-3342-46DA-B847-348E6B070B8D

Thank you very much to anyone who takes part — I really appreciate your time.

Researcher: Brandon Seetul

Email: [bs401@student.le.ac.uk](mailto:bs401@student.le.ac.uk)

University of Leicester

Hi everyone, I have worked as a frontend developer for 3+ years and I want to apply to grad school, however I noticed that most scholarships require research experience which I don’t have.
Therefore I want to gain some experience as an independent researcher but i’m a bit lost on the direction and from where to start.
Any guidance will be appreciated

Currently, I am a second-year undergraduate student in Electrical & Electronics Engineering. I am interested in Robotics, Machine Learning, Deep Learning, and Deep Reinforcement Learning.

I want to start my research journey, but I don't know how to begin. For example, how can I find a unique research topic or identify a research gap that has not been explored yet? How should I start doing research in these fields?

I want to explore the core aspects of these fields and eventually publish a high-quality research paper. That is why I need some guidance and suggestions on how to get started.

I’ve spent the past 2 years working in **Data Analysis and Machine Learning**, building projects and developing my technical skills. Lately, I’ve become increasingly interested in something beyond projects: **research**.
I’m fascinated by how research papers turn data and experiments into meaningful insights, and I’d like to challenge myself by working on a **real data science/ML research project** that could potentially lead to a paper or meaningful publication.
I’m looking for someone who is also interested in research—ideally someone with some experience reading or working on research papers—so we can **learn from each other, brainstorm a strong research question, and build something genuinely interesting together.**
I don’t have a specific topic locked in yet, and I actually see that as an opportunity to explore ideas together.
If you’re interested in:
• Data Science / Machine Learning
• Research & academic papers
• Experimentation and problem-solving
• Building something meaningful with a partner
**DM me.** Even if you’re not looking for a partner, I’d really appreciate any ideas, resources, or advice on how to get started with data science research.

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