The Struggling Scientists

ResearchRabbit gives researchers a different way to explore scientific literature by visualising the connections between papers, citations and authors. 🐇🔎In this walkthrough, we show you how we use ResearchRabbit to explore a research field. We start with just one paper and gradually build a collection, before showing how you can start with an existing Zotero library or BibTeX file and explore a much larger body of literature. 📚We also look at how ResearchRabbit can help you discover connected papers, identify influential research, explore author networks and find connections that can be difficult to spot in a traditional list of search results. 🕸️🐇 Try ResearchRabbithttps://thestrugglingscientists.com/ResearchRabbitChapters00:00 👋 Introduction00:56 🐇 How ResearchRabbit changes literature discovery01:51 📄 Starting with one paper03:58 📚 Starting with Zotero or an existing collection04:31 🕸️ Understanding the literature map05:41 🔎 Refining your literature search06:20 ⚠️ Research alerts and retracted references06:49 👩‍🔬 Exploring authors and collaborations07:23 💭 Final thoughts and takeaways📚 More research tools and tutorials:https://youtube.com/playlist?list=PLz6aXl5V5V77ziE8Leh9IuMB4yY4m0Yjq&si=OaQLB5nKrTQdyNwJAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

SciSpace has become much more than a tool for chatting with PDFs. In this episode of the PhD Toolkit, we put it through a real research workflow to find out whether it actually deserves a place in your research toolkit.We test how well it helps with literature discovery, understanding papers, note-taking, writing and overall workflow before scoring it on our PhD Toolkit leaderboard.⭐ Try SciSpaceThis video isn't sponsored, but we do use affiliate links. If you decide SciSpace is right for you, using our link helps support the channel at no extra cost.🔗 Affiliate link:https://thestrugglingscientists.com/Scispace🎁 Discount codes:JNSS20 = 20% off monthly plansJNSS40 = 40% off annual plans, best for heavy users or systematic reviews___________________________________________________________________Chapters00:00 Introduction01:10 Setting up the test01:51 Finding papers04:56 Understanding papers05:38 Saving ideas10:23 Writing14:32 Research Impact15:37 Ease of Use16:31 Value for Money17:30 Workflow Integration18:35 Would we recommend it?19:09 Leaderboard update___________________________________________________________________📚 Watch the rest of the PhD Toolkit here:https://youtube.com/playlist?list=PLz6aXl5V5V77ziE8Leh9IuMB4yY4m0Yjq&si=OaQLB5nKrTQdyNwJAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Learn how to apply the core ideas from Deep Work by Cal Newport to your life as a PhD student, postdoc, or early-career researcher.In this episode, we break down what Deep Work actually is, why shallow work can take over your best energy, and how to use the four Deep Work methods: monastic, bimodal, rhythmic, and journalistic.If you want to protect more focused time for writing, reading, analysis, or research thinking, this episode will help you choose the Deep Work method that fits your academic life best.🎓 About our channelWe are The Struggling Scientists. We make honest videos about PhD life, academia, and how to make your research journey a little bit easier.If that sounds helpful, consider subscribing.-------------------------------------------------------------------------------------------------------------------------👉 We’ve created a free AI prompt to help you apply the Deep Work methods to your own research:https://thestrugglingscientists.com/deepwork-------------------------------------------------------------------------------------------------------------------------👉 We also created a full AI Tools for Academics Masterclass, where we walk through how to use AI ethically and effectively throughout the research process:https://thestrugglingscientists.com/MasterclassAI---------------------------------------------------------------------------------------------------------------------------⏰ TIMESTAMPS00:00 Introduction01:22 What is Deep work03:37 Four methods of Deep work04:26 Monastic method06:22 Bimodal method08:18 Rhythmic method10:22 Journalistic method13:43 Conclusion15:08 AI prompt for Deep work17:02 Final thoughts📱 Follow us for more contenthttps://thestrugglingscientists.com/newsletterhttps://www.instagram.com/thestrugglingscientistspodcast/https://www.linkedin.com/company/the-struggling-scientists-podcast/https://bsky.app/profile/thestrugglings4.bsky.socialhttps://www.tiktok.com/@struggling.scientistshttps://www.threads.com/@thestrugglingscientistspodcast#academia #phdlife #research #scientificresearch #gradschool #academiclife #deepworkAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

AI is already being used in academic research, and some of it is going very wrong.In this video, we break down real cases where the misuse of AI led to serious problems in published scientific papers. This includes fake references, copy pasted AI text, and completely incorrect AI generated figures that somehow made it through peer review.From a hospital librarian discovering that most references in a paper did not even exist, to a viral paper with biologically impossible AI images, these examples highlight a growing issue in modern science.But this is not just about researchers using AI incorrectly. It also raises bigger questions about peer review, journal responsibility, and how these mistakes are slipping through the system.________________________________________________________________👉 We are The Struggling Scientists, a channel for all struggling scientists out there.We share honest experiences, practical advice, and real stories to help make your life in academia just a little bit less of a struggle.🎓 Want to learn how to use AI properly in your research?We created a full AI for Academics Masterclass where we show you how to use AI tools ethically and effectively, without risking your work or credibility:https://thestrugglingscientists.com/MasterclassAI__________________________________________________________________⏰ TIME STAMPS00:00 AI is already breaking research00:50 Copy pasted ChatGPT in a published paper02:55Fake references discovered by a librarian04:40 AI generated figures that make no sense6:55 What this means for science7:50 Final thoughts📱 Follow us for more contenthttps://thestrugglingscientists.com/newsletterhttps://www.instagram.com/thestrugglingscientistspodcast/https://www.linkedin.com/company/the-struggling-scientists-podcast/https://bsky.app/profile/thestrugglings4.bsky.socialhttps://www.tiktok.com/@struggling.scientistshttps://www.threads.com/@thestrugglingscientistspodcast#academia #phdlife #research #ai #chatgpt #scientificresearch #gradschool #academiclife #researchintegrityAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Academia can go wrong… very quickly.In this episode of Academic Tea, we react to real stories from researchers where a single question at a conference, lab meeting, or thesis defense completely changed — or even destroyed — someone’s research.From missing control variables… to flawed assumptions… to realizing your entire project might not be based on the right idea — these are the kinds of moments every scientist secretly fears.If you’ve ever presented your work, worked on a PhD, or sat through a brutal Q&A session… you’ll definitely recognize some of these.💬 Have you ever had a question completely throw you off during a presentation or meeting?Let us know in the comments — we might feature your story in a future episode!☕ Academic Tea is our series where we react to real academic stories — the good, the bad, and the painfully relatable.-------------------------------------------------------------------------------------------------------------------------👉 We’re The Struggling Scientists — a channel for all struggling scientists out there.We share honest experiences, practical advice, and real stories to help make your life in academia just a little bit less of a struggle.----------------------------------------------------------------------------------------------------------⏰ TIME STAMPS00:00 When one question destroys your research00:50 The wrong prey species experiment04:10 The variable mistake08:15 “Protein X isn’t even expressed”10:40 21,500 papers already exist…13:50 The missing control variable17:00 Final thoughts------------------------------------------------------------------------------------------------------------------🎓 Want to use AI tools in your research (ethically and effectively)?Check out our full AI Tools for Academics Masterclass:https://thestrugglingscientists.com/MasterclassAI---------------------------------------------------------------------------------📱 Follow us for more content!#academia #phdlife #research #gradschool #scientist #academiclife #phdstruggles #researchlife #academictwitterAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy