Dr. Ruchi jain’s Post

Extremely useful post by Chris Chapman: https://lnkd.in/dy_kda6q ...guilty of some of these myself. But, the tips in the post help make better research going forward!

Thrilled to share my latest article, '[The Evolution of Artificial Intelligence on the Dark Web]', published in [focus news]. Grateful for the opportunity to contribute to the conversation. #published #article #research"

Academic workflow: From first note to final publication. In this video I speak to Dave Nicholls about his workflow for moving from the first notes he takes to the final publication. We talk about the tools and services we both use, as well as our intentions that guide those choices. Ultimately, we decide that ‘academic workflow’ is about creating space in your schedule, but rather than using that space to fit more stuff into, it's about using it to spend more time on the work that really matters. Read more at: https://lnkd.in/eMCjtVbd

And another paper is on the arXiv now -- this is a collaborative project that began at the 2023 Graduate Research Workshop in Combinatorics. https://lnkd.in/gZZaSse2

Knowledge is not static - Heterogeneity in treatment effects is still an open research question. Causal inference for the brave and true (a fantastic book) talks about some of these problems: https://lnkd.in/eSthCg5n Some of the new discussion and debate around this idea through scholarly work: https://lnkd.in/ekVia5A8 This is why reading papers is important. So you can understand where the knowledge in books ends and go to the next level, although cautiously of course! Just because someone has written a paper around an idea, doesn't mean it's settled truth! Replication studies, using your own intuition and sense as well as talking over the ideas with others, is essential when dealing with new research!

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I normally don't publish my papers here, but hey, it's free to read before June 7. I think that this paper is great (obviously). It is a part of what I hope to be a paradigm shift in how we validate computations. But it also has a funny story. It started because I wanted to go to a conference. I wanted to go not just because the conference was interesting, but also (and may be - mostly) because I wanted to meet some friends that I hadn't seen a long time. For me, conferences are paid for only if I present something there. So I wrote something not very serious, just some quick, draft ideas. They seemed silly at the time, but were good enough to be accepted. I didn't think something serious will come out of it. Well, now it's my main research project. This paper is the first one of several that are on the way. I also won a EUR100K grant to include ML there. I have here enough work for the next 5-7 years. And I just wanted to meet some friends. https://lnkd.in/d4d2uYt2 And of course many thanks to my collaborators (Nick Eaves and others that are not in LinkedIn) for making this paper from good to excellent

The feature allows for easier navigation of research papers and getting to the parts of a paper most relevant to you.

When doing research you now can AI-ify every step if you want. You can do the research using connectedpapers.com , elicit.org, researchrabbit and other tools. You can calculate your data using Julius.ai and you can get assistance in writing by services such as lex.page, Jenni.ai or yomu.ai It is absolutely mindblowing!!!