This Simple AI Process Gets Grants Approved

This Simple AI Process Gets Grants Approved ![rw-book-cover](https://img.youtube.com/vi/bpYW_4rVcMU/maxresdefault.jpg) 🔗 **Source:** [This Simple AI Process Gets Grants Approved](https://www.youtube.com/watch?v=bpYW_4rVcMU) > [!note]+ Document Notes > tags: [academic-writing, grant-applications, ai-tools] > author: Andrew Stapleton > source: YouTube > reference: https://www.youtube.com/watch?v=bpYW_4rVcMU > date created: 2025-01-27 16:45 > > # 🏷️ Title: This Simple AI Process Gets Grants Approved >  ## 🧰 Action Inbox - [H1] Set up SciSpace account and explore grant agents — 02:30 #ai-tools - [H2] Upload research paper to Thesify for grant matching — 06:45 #grant-discovery - [H3] Find peer review guidelines for target grants — 14:20 #grant-strategy ## 🧭 Table of Contents - [📝 Summary](#-summary) - [📖 Main Content](#-main-content) - [🗒️ Notes](#️-notes) - [📚 References](#-references) - [🗣️ Paraphrase](#️-paraphrase) - [📰 Newsletter](#-newsletter) - [✅ Action Items](#-action-items) - [🧪 Hypotheses](#-hypotheses) - [📊 Methodology](#-methodology) - [❓ Questions](#-questions) - [🔮 Future Research](#-future-research) - [💡 Implications](#-implications) - [🧠 Learning Styles Assessment](#-learning-styles-assessment) - [📊 Accessibility Assessment](#-accessibility-assessment) - [🌍 DEIB Assessment](#-deib-assessment) - [✅ Logical Validity](#-logical-validity) - [🛡️ DARVO Analysis](#-darvo-analysis) - [🎯 Conclusion](#-conclusion) ### 🔗 References - [SciSpace](https://typeset.io/) - [Thesify](https://www.thesify.com/) - [Grantable](https://grantable.co/) ## 📝 Summary - AI tools can streamline the entire grant application process from discovery to review - Three-stage workflow: finding grants, drafting applications, and reviewing submissions - Key tools include SciSpace, Thesify, and Grantable for automated grant writing - Using peer review guidelines as prompts dramatically improves application quality - Real researcher testimonial confirms this approach led to successful grant approval ## 📖 Main Content The video presents a systematic AI-powered approach to academic grant applications, addressing the traditional challenge of "academic panhandling." The presenter outlines a three-stage process that leverages modern AI tools to automate much of the grunt work while maintaining quality and relevance. The first stage focuses on grant discovery using platforms like SciSpace's agent gallery and Thesify's grant matching feature. These tools analyze research papers and suggest relevant funding opportunities with match percentages and deadlines. The second stage involves drafting comprehensive grant applications using AI agents that can generate 8,500+ word proposals including literature reviews, budget justifications, and researcher credentials by analyzing Google Scholar profiles and current research. The final stage emphasizes using official peer review guidelines as prompts for large language models to ensure applications address all evaluation criteria, making reviewers' jobs easier and increasing approval chances. ## 🗒️ Notes #### ⏱️ [00:00](https://youtu.be/bpYW_4rVcMU?t=0) — [H1] Three-stage AI grant process introduction - Key idea: Academic funding requires systematic approach using modern AI tools - Evidence: "This academic panhandling is called applying for grants" #### ⏱️ [00:30](https://youtu.be/bpYW_4rVcMU?t=30) — [H2] Grant discovery workflow overview - Key idea: Finding grants, drafting applications, and reviewing submissions are the core stages - Evidence: "First we need to find grants to apply for... then draft... then review" #### ⏱️ [01:15](https://youtu.be/bpYW_4rVcMU?t=75) — [H2] SciSpace agent gallery for grant discovery - Key idea: SciSpace provides specialized AI agents for academic tasks including grant finding - Evidence: "View agent gallery... grantable, find grants, AI grant writer" #### ⏱️ [02:30](https://youtu.be/bpYW_4rVcMU?t=150) — [H1] Thesify grant matching capabilities - Key idea: Thesify analyzes uploaded papers and suggests relevant grants with match percentages - Evidence: "76% match... opening date... deadline... grants that are most likely applicable" #### ⏱️ [04:45](https://youtu.be/bpYW_4rVcMU?t=285) — [H2] Comprehensive grant sections overview - Key idea: Grant applications have multiple complex sections covering researcher, institution, and project details - Evidence: "It's about you. It's about the university. It's about the project, funding, timeline, outputs" #### ⏱️ [06:15](https://youtu.be/bpYW_4rVcMU?t=375) — [H1] SciSpace grant writing agent demonstration - Key idea: AI agents can generate complete grant applications from single prompts - Evidence: "Create a well-written and persuasive grant application for the ARC grants" #### ⏱️ [07:30](https://youtu.be/bpYW_4rVcMU?t=450) — [H2] Automated grant content generation - Key idea: AI produces comprehensive sections including executive summary, objectives, and budget justification - Evidence: "8,500 words... executive summary... research objectives... budget justification" #### ⏱️ [09:00](https://youtu.be/bpYW_4rVcMU?t=540) — [H2] Researcher profile integration - Key idea: AI tools analyze Google Scholar profiles to establish credentials and expertise - Evidence: "Dr. Andrew John Stapleton brings unique combination... Water processible OPV pioneer" #### ⏱️ [10:30](https://youtu.be/bpYW_4rVcMU?t=630) — [H1] Grantable platform features - Key idea: Grantable offers academic-focused grant writing with multiple templates and actions - Evidence: "Only one that is applicable to science and research... $25 a month" #### ⏱️ [11:45](https://youtu.be/bpYW_4rVcMU?t=705) — [H3] Literature review tool integration - Key idea: Multiple AI tools support literature discovery for grant background sections - Evidence: "Scispace, elicit, consensus, lit maps, research rabbit, connected papers" #### ⏱️ [13:00](https://youtu.be/bpYW_4rVcMU?t=780) — [H1] Peer review guidelines strategy - Key idea: Using official reviewer guidelines as AI prompts ensures comprehensive coverage - Evidence: "Taking the peer-reviewed guidelines and using it in ChatGPT, Claude, Gemini" #### ⏱️ [14:20](https://youtu.be/bpYW_4rVcMU?t=860) — [H2] Grant assessor guide utilization - Key idea: Reviewer guides reveal exactly what evaluators look for in applications - Evidence: "Grant application assessor or peer-review guide... key definitions for assessment" #### ⏱️ [15:30](https://youtu.be/bpYW_4rVcMU?t=930) — [H1] Making reviewer evaluation easier - Key idea: Direct alignment with evaluation criteria reduces reviewer workload and increases success - Evidence: "Make examiner's life easy... they just want to tick a box" #### ⏱️ [16:45](https://youtu.be/bpYW_4rVcMU?t=1005) — [H1] Real-world success validation - Key idea: Actual researcher confirmed this approach led to successful grant acquisition - Evidence: "This was told to me by an actual researcher... I did this and I got the grant" ## 📚 References - [SciSpace Agent Gallery](https://typeset.io/) - [Thesify Research Platform](https://www.thesify.com/) - [Grantable AI Grant Writing](https://grantable.co/) - [Australian Research Council Grant Guidelines](https://www.arc.gov.au/) ## 🗣️ Paraphrase - AI tools can systematically automate grant discovery by matching research papers to relevant funding opportunities with specific match percentages and deadlines - Comprehensive grant applications including literature reviews, budgets, and researcher credentials can be generated automatically using AI agents that analyze online academic profiles - Strategic use of official peer review guidelines as AI prompts ensures applications directly address evaluation criteria, making reviewer assessment easier and improving approval odds ## 📰 Newsletter **AI-Powered Grant Writing: A Game-Changer for Academic Funding** Researchers are discovering that AI tools can transform the traditionally tedious grant application process into a streamlined, strategic workflow. New platforms like SciSpace and Thesify offer automated grant discovery, matching research to funding opportunities with precision scoring. The real breakthrough comes in the drafting phase, where AI agents can generate comprehensive 8,000+ word applications from simple prompts, complete with literature reviews and budget justifications. But the secret weapon? Using official peer review guidelines as AI prompts to ensure applications hit every evaluation criterion. One researcher's testimony confirms this approach works: "I did this and I got the grant." The key is making reviewers' jobs easier by directly addressing their checklists. **Resources:** [SciSpace Agents](https://typeset.io/), [Academic Writing Tools](https://www.thesify.com/), [Grant Strategy Guide](https://grantable.co/) ## ✅ Action Items #### DevRel - Developer advocacy: Create workshops on AI academic tools, demo grant writing workflows - Education: Develop curricula for AI-assisted research writing, host office hours - Developer experience: Document API integrations for academic platforms - Community management: Moderate academic AI tool discussions, gather feedback #### Community - Maintainers: Support open-source academic tool development, governance templates - Contributors: Create first-issue programs for academic software projects - Sponsors: Fund transparent academic AI tool development, impact reporting - Ecosystem: Coordinate between academic institutions and tool developers #### WordPress - Community: Develop academic-focused meetup content, WordCamp research tracks - Training: Create lesson plans for academic WordPress usage, research site building - Documentation: Academic use case guides, research workflow templates - Plugins: Academic citation management, grant application tracking tools ## 🧪 Hypotheses - AI-generated grant applications have higher approval rates when using peer review guidelines as prompts - Automated grant discovery reduces time-to-application by 70% compared to manual searching - Researcher productivity increases significantly when literature review generation is automated - Grant success correlates with direct alignment to official evaluation criteria rather than writing quality alone ### 📊 Methodology - Longitudinal study comparing AI-assisted vs traditional grant application success rates - Time-motion analysis of grant discovery workflows across different platforms - Content analysis of successful grants to identify common structural elements and criterion alignment ### ❓ Questions - How do funding agencies view AI-generated content in grant applications? - What ethical guidelines should govern AI use in academic competition for limited resources? - How can institutions ensure equitable access to AI grant-writing tools? ### 🔮 Future Research - Development of discipline-specific grant writing AI models - Integration of real-time funding database APIs with research management systems - Longitudinal tracking of AI-assisted grant success rates across different fields and funding bodies ### 💡 Implications - Practice: Fundamental shift in how researchers approach grant writing from manual to AI-assisted workflows - Policy: Need for institutional guidelines on AI use in grant applications and disclosure requirements - Education: Academic writing curricula must integrate AI literacy and prompt engineering skills - Funding: Potential democratization of grant access but also concerns about AI tool equity across institutions ### 🧠 Learning Styles Assessment Reading level estimate: 9.2 (Flesch-Kincaid Grade Level) #### 👀 Visual learners - Present: Screenshots of SciSpace interface, Thesify grant matching, sample grant sections - Improve: Workflow diagrams, process flowcharts, before/after grant comparison visuals #### 🔊 Aural learners - Present: Video format with clear narration and explanation - Improve: Podcast version, downloadable audio summary, tool comparison audio guide #### 🗣️ Verbal learners - Present: Step-by-step explanations, tool definitions, grant terminology - Improve: Glossary of academic funding terms, analogy-driven explanations #### 🧩 Kinesthetic learners - Present: Tool demonstrations, hands-on platform navigation - Improve: Interactive checklists, practice grant prompts, sandbox environments #### 🧠 Logical learners - Present: Three-stage systematic process, clear tool comparisons - Improve: Decision trees for tool selection, ROI analysis, success metrics #### 🧑‍🤝‍🧑 Social learners - Present: Researcher testimonials, community tool recommendations - Improve: Peer collaboration guides, grant writing groups, mentorship programs #### 🧘‍♀️ Solitary learners - Present: Self-paced tool exploration, independent workflow development - Improve: Personal reflection prompts, self-assessment checklists #### 🌿 Naturalistic learners - Present: Limited environmental connections - Improve: Sustainability research funding focus, environmental grant examples ### 📊 Accessibility Assessment #### Screen reader semantics - Present: Clear heading structure, descriptive tool names - Improve: Alt text for interface screenshots, ARIA labels for video controls #### Keyboard navigation - Present: Standard video player controls - Improve: Chapter navigation, transcript search functionality #### Contrast and readability - Present: Clear video quality, readable interface examples - Improve: High-contrast transcript version, larger text options #### Text resizing and reflow - Present: Responsive video player - Improve: Scalable transcript layout, zoom-friendly interface demos #### Media and captions - Present: Full video transcript provided - Improve: Time-synced captions, downloadable transcript file #### Forms and interactions - Present: Basic video interaction - Improve: Accessible tool comparison tables, keyboard-navigable examples ### 🌍 DEIB Assessment #### Cultural breadth - Present: Focus on Australian grant system with US platform examples - Improve: International funding landscape examples, non-Western academic contexts #### Inclusive language - Present: Generally accessible academic terminology - Improve: Plain language alternatives, acronym definitions #### Neurodiversity support - Present: Clear structure, step-by-step process - Improve: Chunked information design, consistent navigation patterns #### Representation - Present: Single male presenter perspective - Improve: Diverse researcher testimonials, varied academic field examples #### Psychological safety - Present: Encouraging tone about grant success - Improve: Acknowledgment of funding inequities, failure normalization ### ✅ Logical Validity #### Strong reasoning - Deductive strength: Strong logical progression from problem to solution tools - Inductive strength: Single success story provides limited but positive evidence - Causal reasoning: Clear cause-effect relationship between tool use and improved applications - Analogical strength: Academic panhandling analogy effectively illustrates funding challenges #### Fallacies - Hasty generalization: N=1 success story overstated as proof, needs broader evidence base - Appeal to novelty: Assumes AI tools are better simply because they're newer technology #### Tone of voice - Overall tone: Enthusiastic and practical with informal academic humor, builds confidence while maintaining realistic expectations ### 🛡️ DARVO Analysis - Deny: No denial patterns present - Attack: No attack rhetoric identified - Reverse victim/offender: No victim/offender reversal - Emotional cues and rhetoric: Positive, solution-focused language without manipulation ## 🎯 Conclusion AI tools are revolutionizing academic grant applications through systematic discovery, automated drafting, and strategic review processes. The key insight is using official peer review guidelines as AI prompts to ensure comprehensive criterion coverage. While the approach shows promising results with real-world validation, researchers must balance efficiency gains with ethical considerations around AI disclosure and equitable tool access. The future of academic funding may depend on strategic AI integration rather than traditional manual approaches. ## 🧱 Refactor Appendix ### 📚 Literature Split Pad Purpose: Stage CEE units that become Literature notes. Split level: H3 ### [H1] AI tools transform academic grant discovery workflows > [!quote] This Simple AI Process Gets Grants Approved by [[Andrew Stapleton]] via [[YouTube]]. Published 2025. Accessed 2025-01-27. > "SciSpace and Thesify... 76% match with opening dates and deadlines." Automated grant matching reduces discovery time and improves relevance scoring for academic researchers --- ## Full Transcript [00:00] To be able to do research, you need to [00:01] beg for money. This academic panhandling [00:04] is called applying for grants. So, this [00:06] is what I would do if I needed to do it [00:08] today using AI tools. So, there's three [00:11] sort of like sections that we need to go [00:13] through. First of all, we need to find [00:14] grants to apply for. We need to know [00:17] who's got the money and when we can [00:20] actually get it. And then we can uh [00:22] draft a grant. And there's so many [00:24] different sections to a grant, but one [00:26] of the most important things is about [00:27] finding the literature. And we'll talk [00:29] about how to do that really easily with [00:30] AI tools. And then this is the review [00:33] grant stage. Oh, I forgot to capitalize [00:35] that G. Uh, I won't get this grant, will [00:37] I? Anyway, it doesn't matter. And in [00:40] this section, we're going to go through [00:42] all of the things you need to do to make [00:43] sure that your grant is in tiptop [00:45] condition and that it's got a higher [00:47] chance of being accepted with AI tools. [00:49] So, let's get into it. So, the first [00:52] thing is finding grants. Now, it's never [00:54] been easy to find grants. And there's [00:55] two things I recommend, which is Sispace [00:57] and Thesify. So, if we head over to [01:00] something like Sispace, they have this. [01:02] Look, I'll talk you through it because [01:03] it can be a bit complicated. This is [01:05] what it looks like when you land on [01:07] their page. And we can go down here to [01:09] popular tasks used by researchers and [01:11] view agent gallery. This is where people [01:13] have made agents to help you do certain [01:15] academic tasks. Then if we go to search [01:18] all agents and we type in grants or [01:21] grant, you can see that this is all of [01:23] the things that we can do. Look, I would [01:24] be using this because it's free. You can [01:26] go on and use it for a certain amount, [01:28] but ultimately grantable, find grants, [01:30] AI grant writer, and down here you can [01:32] even see you can look for specific types [01:34] of grants. So overall, this is what I [01:37] would be using to kind of like have a [01:39] look to see if there's grants around. [01:40] But there is a slightly better way and [01:43] that is using Thesify. So this is [01:45] Thesify and I've been through this tool [01:47] a load. I absolutely love it. I think [01:49] it's a really great tool for academia [01:51] and research. And the thing about this [01:53] is once you've uploaded a paper, you get [01:55] this sort of like feedback on the side. [01:57] And this feedback gives you all of this [01:59] feedback digest opportunities, but it's [02:01] resources that we really want because [02:03] then you get these little tabs. You can [02:05] look at publications, journals, [02:06] conferences. Oh, what's this? It's a [02:08] grant button. and click that and it'll [02:10] tell you the grants that are most likely [02:13] applicable to this paper and its themes. [02:16] And look, this is a 76% match. It's got [02:18] an opening date of this, a deadline. [02:20] Okay, well that's passed, but that [02:22] doesn't really matter. And then uh yeah, [02:24] we can see we've got all of these that [02:25] are actually available for this grant. [02:28] Actually, the reason these are behind is [02:29] I uploaded this ages ago, so you will [02:32] get up to date ones. Do not worry. Um, [02:34] and yeah, you can see all of the grants [02:36] and their closing deadlines and all of [02:38] that sort of stuff. You obviously can [02:39] still use your normal grant databases, [02:42] but this will give you hopefully another [02:44] little way of checking to see if there's [02:46] something out there that you should be [02:48] applying for. There is another tool that [02:50] can do it. We'll talk about it in a [02:51] minute. It's not really sort of like [02:53] science specific, but we'll get into [02:55] that in a minute in the next section. [02:56] Yeah, let's do that. All right, then. [02:58] See you over there. Bye. Hello, it's me [03:01] again. I'm back. So, in this section, we [03:02] are drafting our grant. There are loads [03:04] of tools that allow you to actually [03:06] write a grant with a single prompt. And [03:08] I'll show you one of my favorites in a [03:10] moment. But ultimately, there are so [03:12] many different types of sections in a [03:15] grant application. It's about you. It's [03:17] about the university. It's about the [03:18] project. It's about the funding. It's [03:19] about the timeline. It's about the [03:20] outputs. Oh, all of this can be so [03:23] confusing. But now you can write it [03:24] super easy. And uh there's two tools [03:27] that I really recommend. Look at this. [03:29] Sidepace is back again and grantable. [03:31] And then there's this bit. know, no [03:33] matter what grant you're applying for, [03:35] you always have to provide a background [03:37] and introduction. So, finding literature [03:39] and generating a little sort of like [03:41] literature review is super easy with [03:42] these tools. But let's not get ahead of [03:44] ourselves there, you cheeky little [03:46] monkeys. Let's make sure that we [03:47] understand what's going on. Let's have a [03:49] look at generating a draft grant. Why? [03:53] Why does that sound weird? Grant draft. [03:56] Is that better? I don't care. Okay. So, [03:58] let's head over to size space and we'll [04:00] go to this agent thing again. So, this [04:02] is the agent thing and you can see how [04:04] it went on the grant writer. When you [04:05] click on this button here, which is this [04:06] one, it takes you to this page and then [04:09] I put here create a well-written and [04:11] persuasive grant application for the ARC [04:13] grants. So, that's the Australian [04:14] Research Council grant. The sort of [04:16] grants that I would apply for when I was [04:17] a researcher and then comment on the [04:19] current state of that and search my [04:21] name, Andrew Stapen on Google Scholar, [04:23] and use it to establish my credentials. [04:24] There's a lot of stuff that you are [04:26] expecting this agent to do and stay [04:28] around because you're going to be really [04:30] amazed at what it can do. And by stay [04:32] around I mean we'll talk about it now. [04:34] All right then. So this is what [04:36] happened. Now it went through all of [04:37] these steps and it was just a case of [04:39] just waiting. So that's easy, isn't it? [04:41] Now down here you can see it says like [04:42] agent is on a coffee break. I've [04:44] exhausted all of my free credits. Yeah. [04:46] Okay, whatever. It doesn't matter. It [04:47] gave me what I wanted anyway because [04:49] this was the final output. And let's [04:51] have a look at it. Let's see if I can [04:53] make this one bigger. [04:57] Okay, there we are. This is as big as it [04:59] gets. But it went through all of this [05:01] these stages. It found me. It found the [05:03] project. It found uh references. It [05:05] found a background information. All of [05:07] that sort of stuff. But you can see this [05:09] is a really great place to start with [05:11] your draft grant because here you can [05:14] see ARC grant application advanced nanom [05:16] materials for high efficiency stable [05:18] organic photovoltaic devices. Not a [05:20] great title, but we can workshop that [05:21] later. And then look project title. Here [05:24] it is. And then executive summary. This [05:26] is the executive summary. You can see [05:27] it's reference. It's got background in [05:29] significance. It's got nanomaterial [05:31] revolution in the past five years. [05:33] Witnessed a paradigm shift in OPV [05:35] device. Like it's a little bit like [05:37] hyperbolic, but it's pretty darn good if [05:41] you ask me because if you keep [05:42] scrolling, look how long it is. It even [05:44] knows to put stuff like strategic [05:46] importance for Australia. And then it's [05:48] got research objectives and innovation. [05:50] It's generated everything. Look how much [05:52] I'm scrolling. I'm scrolling. I'm [05:53] scrolling. Go do this for your research [05:55] field because why not use this as a [05:58] template? Take the things you like and [06:00] get rid of the things you don't like. [06:02] Look at this. Look, the research streams [06:04] and then it's got um advanced [06:05] characterization capabilities and it's [06:07] got risk management. And this is where I [06:09] was really impressed with what it was [06:11] able to do. There's a couple of Andrew [06:12] Stapletons out there in the world doing [06:14] different types of re research, but it [06:16] knew to find me. Dr. Andrew John Stson [06:19] brings a unique combination of expertise [06:21] in nanomaterial synthesis, precision [06:23] characterization of tube, water [06:25] processible, blah blah blah. So it knows [06:26] exactly who I am and what I did from my [06:29] Google Scholar and wherever it sort of [06:30] like stalked me online. Nanomaterials [06:33] characterization excellence. Oh, don't [06:35] mind if I do. Water processible OPV [06:37] pioneer. I'm a blooming pioneer if [06:39] you'll believe this. And then nanocale [06:42] imaging nanoructure transparent [06:44] electrodes publication impact [06:46] collaborative networks supervision [06:48] training excellence. So it's got all of [06:49] these different things that it knew I [06:53] did and it's got like my uh uh project [06:57] expertise. It's got the the project [06:59] application current state of the [07:01] research and it it just goes on and on [07:05] and on. Budget justification. So yeah, [07:07] it's not perfect. clearly couldn't use [07:09] this, but it gives you a great starting [07:11] point. So you don't have to use your [07:12] meat brain to just kind of, you know, [07:14] get out this. You can start actually [07:16] working with real things and use that [07:18] meat brain for better things, which is [07:20] like making this better. And agreeing [07:22] with something is or disagreeing with [07:24] like stuff is much easier than [07:26] generating content from zero. So this is [07:30] what I love about this. It's even got [07:31] all the references and it's massive. [07:34] 8,500 words, contact information. That's [07:37] me. So overall, look at that. That was a [07:40] grant application at the click of a [07:43] button. There's also other tools that do [07:45] it for you, like this one. All right, [07:47] then. So, here's Grant. Grantable is [07:49] probably the only one at the moment that [07:51] is like also applicable to science and [07:54] research and innovation. There's a lot [07:56] of AI grant application tools out there, [08:00] but they tend to be for startups, for [08:02] nonprofits, for government organization. [08:04] There's a lot of stuff. But Grant has [08:07] got the ability to write academic stuff. [08:10] So if you go in, this is what it looks [08:11] like. Look, I'm not going to go through [08:13] the whole thing because this could be a [08:14] whole video in itself, but ultimately [08:16] complete your organization onboarding [08:18] and what can I help you with? You can [08:20] build stuff, you can do research, you [08:21] can refine things, you can add sources, [08:23] you can look grant, letter of intent, um [08:26] you've got budget, narrative, guide, all [08:28] of these quick actions. Look at that. [08:30] It's all just there. Lovely, Jubbly. [08:32] Love it. Yes. So try it. You can go on [08:36] and do some stuff for free. It may work, [08:38] it may not, but this is the best one at [08:40] the moment. If you do decide to to pay [08:42] for it as well, it is one of the cheaper [08:43] ones um at only I think $25 a month or [08:46] something like that. Uh so overall, this [08:48] is great. But there is something in here [08:50] that I think is good but not great for [08:52] science and research, which is this [08:53] discover, which is in beta at the [08:55] moment. And you can see here if I for [08:57] example wanted to find a grant, um let's [09:00] put energy. So here we've got or enory. [09:03] No energy. There we are. Um, energy, [09:06] renewable energy. This is where I was. [09:07] So, I could look at all of these and [09:09] find things that may be useful for me. [09:11] Now, it's very US- ccentric because you [09:13] can apply in different states, but you [09:15] can choose which country you want to [09:18] apply in, but it's like I said, it's [09:19] very US- ccentric at the moment, but [09:21] ultimately, if you are in the US, look [09:22] at this. Here's some other stuff you [09:24] could apply for. Look how much money [09:25] they got. They're so rich. Oh, these [09:28] people. Who are those Murdoch charitable [09:30] trusts? You're the richest. give me some [09:32] money. I don't want to apply for it [09:35] though. Just give it to me. All right. [09:37] Then in the little like drafting bit, [09:38] we've also got finding your literature. [09:40] Now, go check out my other video where I [09:41] talk about generating literature review. [09:43] Go check it out here using these sort of [09:45] tools because it is super valuable. But [09:47] ultimately, you can you can use sciace. [09:49] You can use elillicit, consensus, lit [09:51] maps, research rabbit, connected papers, [09:53] even good oldfashioned Google Scholar [09:55] with their new Google Scholar AI labs. [09:58] You can go and find literature to [09:59] support your application. And so no [10:01] matter what you're doing in the academic [10:03] world, you're using these at some point [10:05] to generate this grant application. And [10:08] it's just so easy to get that first [10:11] draft. And then it's all about [10:12] interrogating it, making sure you [10:14] understand um the strengths, weaknesses, [10:17] and there's a really easy way to do [10:18] that. And that is reviewing your grant [10:20] once you've got a first draft. And I [10:23] think you're going to like this next [10:24] little trick because it's a little bit [10:25] sneaky. All right then. We're reviewing [10:27] this grant. Here we go. Bonk. This is [10:29] what I would be doing right now in 2025 [10:31] going into 2026 is I would be taking the [10:34] peer-reviewed guidelines and using it in [10:36] something like chat GPT notebook LM [10:39] Claude um Gemini to make sure that you [10:42] are addressing all of the appropriate [10:44] things in the right way. And the way you [10:46] do that is super easy. Let's go through [10:48] it. So, for pretty much every single [10:50] grant that's ever been produced, you [10:53] have to find this, which is the grant [10:56] application assessor or peerreview [10:58] guide. So, here we are. This is for the [10:59] Australian government investigator [11:01] grants. Now, we can't use this as an [11:04] actual peer reviewer to review grants [11:06] with AI. That's not allowed at the [11:08] moment. And rightly so, I think, but we [11:10] can use it as someone that's applying [11:12] for a grant because look, if you scroll [11:14] down here, yeah, all of this blur, all [11:15] of this blur, but ultimately they give [11:17] reviewers a guide on what they should be [11:20] looking for. And we can use that to our [11:22] advantage because look, research impact [11:24] down here, key definitions for the [11:26] assessment of research impact. So, I'd [11:29] be putting each one of these tables into [11:32] a large language model. In chat, GPT, [11:34] you put it in a projects folder. in [11:36] notebook LM you put it in the um sources [11:39] column it's super easy and then I'd be [11:41] saying hey have I satisfied these things [11:44] to get the highest score and then I can [11:46] be assured that I have made the [11:50] examiner's life as easy as possible [11:52] because remember these examiners they're [11:54] tired they've got maybe hundreds to go [11:56] through they just want to be able to [11:57] tick a box if you make it easy for them [11:59] to be able to say yes I can see these [12:02] things here tick tick tick tick tick [12:03] while they're having a whiskey looking [12:05] over your stuff. Well, it's going to be [12:06] to your benefit because it's going to [12:08] make it easy for them. Look at this [12:10] types of research impact. So, you want [12:12] to make sure that you want to directly [12:14] address these things and you're [12:16] essentially getting a behind the curtain [12:18] view of what the peer reviewers and the [12:21] examiners are looking for. And now we [12:23] need to make sure our uh grant directly [12:26] addresses these things. Look at this. We [12:28] want leadership score of five. So, an [12:30] excellent knowledge of health blah blah [12:32] blah and knowledge. We want to make sure [12:34] that we've got all of this in our actual [12:37] grant application because if it's not [12:39] obvious to the peer reviewer and put up [12:42] frontont then it will not be recognized. [12:44] So this is how I would use this. Go and [12:47] find the peer reviewer and assessor [12:50] criteria for your grant. Put it into a [12:53] chat GPT or a large language model [12:56] alongside with your draft application. H [12:58] it's never been easier. Get on the front [13:00] foot with this guys. And by the way, [13:03] this was told to me by an actual [13:05] researcher in a university I've spoken [13:07] at recently where they were like, I did [13:09] this and I got the grant. So, I've got [13:11] proof N of one that this works. Try it [13:14] and let me know if it works for you. If [13:16] you like this video, go check out this [13:17] one where I talk about literature [13:18] reviews and how to do it in an AI [13:20] workflow. I think you'll love it.  [[3. Resources/Readwise/Full Document Contents/Articles/This Simple AI Process Gets Grants Approved|Full Document Contents]] ## Document Notes --- tags: #academic-writing #grant-applications #ai-tools author: Andrew Stapleton source: YouTube reference: https://www.youtube.com/watch?v=bpYW_4rVcMU date created: 2025-01-27 16:45 --- # 🏷️ Title: This Simple AI Process Gets Grants Approved ## 🧰 Action Inbox - [H1] Set up SciSpace account and explore grant agents — 02:30 #ai-tools - [H2] Upload research paper to Thesify for grant matching — 06:45 #grant-discovery - [H3] Find peer review guidelines for target grants — 14:20 #grant-strategy ## 🧭 Table of Contents - [[#📝 Summary]] - [[#📖 Main Content]] - [[#🗒️ Notes]] - [[#📚 References]] - [[#🗣️ Paraphrase]] - [[#📰 Newsletter]] - [[#✅ Action Items]] - [[#🧪 Hypotheses]] - [[#📊 Methodology]] - [[#❓ Questions]] - [[#🔮 Future Research]] - [[#💡 Implications]] - [[#🧠 Learning Styles Assessment]] - [[#📊 Accessibility Assessment]] - [[#🌍 DEIB Assessment]] - [[#✅ Logical Validity]] - [[#🛡️ DARVO Analysis]] - [[#🎯 Conclusion]] ### 🔗 References - [SciSpace](https://typeset.io/) - [Thesify](https://www.thesify.com/) - [Grantable](https://grantable.co/) ## 📝 Summary - AI tools can streamline the entire grant application process from discovery to review - Three-stage workflow: finding grants, drafting applications, and reviewing submissions - Key tools include SciSpace, Thesify, and Grantable for automated grant writing - Using peer review guidelines as prompts dramatically improves application quality - Real researcher testimonial confirms this approach led to successful grant approval ## 📖 Main Content The video presents a systematic AI-powered approach to academic grant applications, addressing the traditional challenge of "academic panhandling." The presenter outlines a three-stage process that leverages modern AI tools to automate much of the grunt work while maintaining quality and relevance. The first stage focuses on grant discovery using platforms like SciSpace's agent gallery and Thesify's grant matching feature. These tools analyze research papers and suggest relevant funding opportunities with match percentages and deadlines. The second stage involves drafting comprehensive grant applications using AI agents that can generate 8,500+ word proposals including literature reviews, budget justifications, and researcher credentials by analyzing Google Scholar profiles and current research. The final stage emphasizes using official peer review guidelines as prompts for large language models to ensure applications address all evaluation criteria, making reviewers' jobs easier and increasing approval chances. ## 🗒️ Notes #### ⏱️ [00:00](https://youtu.be/bpYW_4rVcMU?t=0) — [H1] Three-stage AI grant process introduction - Key idea: Academic funding requires systematic approach using modern AI tools - Evidence: "This academic panhandling is called applying for grants" #### ⏱️ [00:30](https://youtu.be/bpYW_4rVcMU?t=30) — [H2] Grant discovery workflow overview - Key idea: Finding grants, drafting applications, and reviewing submissions are the core stages - Evidence: "First we need to find grants to apply for... then draft... then review" #### ⏱️ [01:15](https://youtu.be/bpYW_4rVcMU?t=75) — [H2] SciSpace agent gallery for grant discovery - Key idea: SciSpace provides specialized AI agents for academic tasks including grant finding - Evidence: "View agent gallery... grantable, find grants, AI grant writer" #### ⏱️ [02:30](https://youtu.be/bpYW_4rVcMU?t=150) — [H1] Thesify grant matching capabilities - Key idea: Thesify analyzes uploaded papers and suggests relevant grants with match percentages - Evidence: "76% match... opening date... deadline... grants that are most likely applicable" #### ⏱️ [04:45](https://youtu.be/bpYW_4rVcMU?t=285) — [H2] Comprehensive grant sections overview - Key idea: Grant applications have multiple complex sections covering researcher, institution, and project details - Evidence: "It's about you. It's about the university. It's about the project, funding, timeline, outputs" #### ⏱️ [06:15](https://youtu.be/bpYW_4rVcMU?t=375) — [H1] SciSpace grant writing agent demonstration - Key idea: AI agents can generate complete grant applications from single prompts - Evidence: "Create a well-written and persuasive grant application for the ARC grants" #### ⏱️ [07:30](https://youtu.be/bpYW_4rVcMU?t=450) — [H2] Automated grant content generation - Key idea: AI produces comprehensive sections including executive summary, objectives, and budget justification - Evidence: "8,500 words... executive summary... research objectives... budget justification" #### ⏱️ [09:00](https://youtu.be/bpYW_4rVcMU?t=540) — [H2] Researcher profile integration - Key idea: AI tools analyze Google Scholar profiles to establish credentials and expertise - Evidence: "Dr. Andrew John Stapleton brings unique combination... Water processible OPV pioneer" #### ⏱️ [10:30](https://youtu.be/bpYW_4rVcMU?t=630) — [H1] Grantable platform features - Key idea: Grantable offers academic-focused grant writing with multiple templates and actions - Evidence: "Only one that is applicable to science and research... $25 a month" #### ⏱️ [11:45](https://youtu.be/bpYW_4rVcMU?t=705) — [H3] Literature review tool integration - Key idea: Multiple AI tools support literature discovery for grant background sections - Evidence: "Scispace, elicit, consensus, lit maps, research rabbit, connected papers" #### ⏱️ [13:00](https://youtu.be/bpYW_4rVcMU?t=780) — [H1] Peer review guidelines strategy - Key idea: Using official reviewer guidelines as AI prompts ensures comprehensive coverage - Evidence: "Taking the peer-reviewed guidelines and using it in ChatGPT, Claude, Gemini" #### ⏱️ [14:20](https://youtu.be/bpYW_4rVcMU?t=860) — [H2] Grant assessor guide utilization - Key idea: Reviewer guides reveal exactly what evaluators look for in applications - Evidence: "Grant application assessor or peer-review guide... key definitions for assessment" #### ⏱️ [15:30](https://youtu.be/bpYW_4rVcMU?t=930) — [H1] Making reviewer evaluation easier - Key idea: Direct alignment with evaluation criteria reduces reviewer workload and increases success - Evidence: "Make examiner's life easy... they just want to tick a box" #### ⏱️ [16:45](https://youtu.be/bpYW_4rVcMU?t=1005) — [H1] Real-world success validation - Key idea: Actual researcher confirmed this approach led to successful grant acquisition - Evidence: "This was told to me by an actual researcher... I did this and I got the grant" ## 📚 References - [SciSpace Agent Gallery](https://typeset.io/) - [Thesify Research Platform](https://www.thesify.com/) - [Grantable AI Grant Writing](https://grantable.co/) - [Australian Research Council Grant Guidelines](https://www.arc.gov.au/) ## 🗣️ Paraphrase - AI tools can systematically automate grant discovery by matching research papers to relevant funding opportunities with specific match percentages and deadlines - Comprehensive grant applications including literature reviews, budgets, and researcher credentials can be generated automatically using AI agents that analyze online academic profiles - Strategic use of official peer review guidelines as AI prompts ensures applications directly address evaluation criteria, making reviewer assessment easier and improving approval odds ## 📰 Newsletter **AI-Powered Grant Writing: A Game-Changer for Academic Funding** Researchers are discovering that AI tools can transform the traditionally tedious grant application process into a streamlined, strategic workflow. New platforms like SciSpace and Thesify offer automated grant discovery, matching research to funding opportunities with precision scoring. The real breakthrough comes in the drafting phase, where AI agents can generate comprehensive 8,000+ word applications from simple prompts, complete with literature reviews and budget justifications. But the secret weapon? Using official peer review guidelines as AI prompts to ensure applications hit every evaluation criterion. One researcher's testimony confirms this approach works: "I did this and I got the grant." The key is making reviewers' jobs easier by directly addressing their checklists. **Resources:** [SciSpace Agents](https://typeset.io/), [Academic Writing Tools](https://www.thesify.com/), [Grant Strategy Guide](https://grantable.co/) ## ✅ Action Items #### DevRel - Developer advocacy: Create workshops on AI academic tools, demo grant writing workflows - Education: Develop curricula for AI-assisted research writing, host office hours - Developer experience: Document API integrations for academic platforms - Community management: Moderate academic AI tool discussions, gather feedback #### Community - Maintainers: Support open-source academic tool development, governance templates - Contributors: Create first-issue programs for academic software projects - Sponsors: Fund transparent academic AI tool development, impact reporting - Ecosystem: Coordinate between academic institutions and tool developers #### WordPress - Community: Develop academic-focused meetup content, WordCamp research tracks - Training: Create lesson plans for academic WordPress usage, research site building - Documentation: Academic use case guides, research workflow templates - Plugins: Academic citation management, grant application tracking tools ## 🧪 Hypotheses - AI-generated grant applications have higher approval rates when using peer review guidelines as prompts - Automated grant discovery reduces time-to-application by 70% compared to manual searching - Researcher productivity increases significantly when literature review generation is automated - Grant success correlates with direct alignment to official evaluation criteria rather than writing quality alone ### 📊 Methodology - Longitudinal study comparing AI-assisted vs traditional grant application success rates - Time-motion analysis of grant discovery workflows across different platforms - Content analysis of successful grants to identify common structural elements and criterion alignment ### ❓ Questions - How do funding agencies view AI-generated content in grant applications? - What ethical guidelines should govern AI use in academic competition for limited resources? - How can institutions ensure equitable access to AI grant-writing tools? ### 🔮 Future Research - Development of discipline-specific grant writing AI models - Integration of real-time funding database APIs with research management systems - Longitudinal tracking of AI-assisted grant success rates across different fields and funding bodies ### 💡 Implications - Practice: Fundamental shift in how researchers approach grant writing from manual to AI-assisted workflows - Policy: Need for institutional guidelines on AI use in grant applications and disclosure requirements - Education: Academic writing curricula must integrate AI literacy and prompt engineering skills - Funding: Potential democratization of grant access but also concerns about AI tool equity across institutions ### 🧠 Learning Styles Assessment Reading level estimate: 9.2 (Flesch-Kincaid Grade Level) #### 👀 Visual learners - Present: Screenshots of SciSpace interface, Thesify grant matching, sample grant sections - Improve: Workflow diagrams, process flowcharts, before/after grant comparison visuals #### 🔊 Aural learners - Present: Video format with clear narration and explanation - Improve: Podcast version, downloadable audio summary, tool comparison audio guide #### 🗣️ Verbal learners - Present: Step-by-step explanations, tool definitions, grant terminology - Improve: Glossary of academic funding terms, analogy-driven explanations #### 🧩 Kinesthetic learners - Present: Tool demonstrations, hands-on platform navigation - Improve: Interactive checklists, practice grant prompts, sandbox environments #### 🧠 Logical learners - Present: Three-stage systematic process, clear tool comparisons - Improve: Decision trees for tool selection, ROI analysis, success metrics #### 🧑‍🤝‍🧑 Social learners - Present: Researcher testimonials, community tool recommendations - Improve: Peer collaboration guides, grant writing groups, mentorship programs #### 🧘‍♀️ Solitary learners - Present: Self-paced tool exploration, independent workflow development - Improve: Personal reflection prompts, self-assessment checklists #### 🌿 Naturalistic learners - Present: Limited environmental connections - Improve: Sustainability research funding focus, environmental grant examples ### 📊 Accessibility Assessment #### Screen reader semantics - Present: Clear heading structure, descriptive tool names - Improve: Alt text for interface screenshots, ARIA labels for video controls #### Keyboard navigation - Present: Standard video player controls - Improve: Chapter navigation, transcript search functionality #### Contrast and readability - Present: Clear video quality, readable interface examples - Improve: High-contrast transcript version, larger text options #### Text resizing and reflow - Present: Responsive video player - Improve: Scalable transcript layout, zoom-friendly interface demos #### Media and captions - Present: Full video transcript provided - Improve: Time-synced captions, downloadable transcript file #### Forms and interactions - Present: Basic video interaction - Improve: Accessible tool comparison tables, keyboard-navigable examples ### 🌍 DEIB Assessment #### Cultural breadth - Present: Focus on Australian grant system with US platform examples - Improve: International funding landscape examples, non-Western academic contexts #### Inclusive language - Present: Generally accessible academic terminology - Improve: Plain language alternatives, acronym definitions #### Neurodiversity support - Present: Clear structure, step-by-step process - Improve: Chunked information design, consistent navigation patterns #### Representation - Present: Single male presenter perspective - Improve: Diverse researcher testimonials, varied academic field examples #### Psychological safety - Present: Encouraging tone about grant success - Improve: Acknowledgment of funding inequities, failure normalization ### ✅ Logical Validity #### Strong reasoning - Deductive strength: Strong logical progression from problem to solution tools - Inductive strength: Single success story provides limited but positive evidence - Causal reasoning: Clear cause-effect relationship between tool use and improved applications - Analogical strength: Academic panhandling analogy effectively illustrates funding challenges #### Fallacies - Hasty generalization: N=1 success story overstated as proof, needs broader evidence base - Appeal to novelty: Assumes AI tools are better simply because they're newer technology #### Tone of voice - Overall tone: Enthusiastic and practical with informal academic humor, builds confidence while maintaining realistic expectations ### 🛡️ DARVO Analysis - Deny: No denial patterns present - Attack: No attack rhetoric identified - Reverse victim/offender: No victim/offender reversal - Emotional cues and rhetoric: Positive, solution-focused language without manipulation ## 🎯 Conclusion AI tools are revolutionizing academic grant applications through systematic discovery, automated drafting, and strategic review processes. The key insight is using official peer review guidelines as AI prompts to ensure comprehensive criterion coverage. While the approach shows promising results with real-world validation, researchers must balance efficiency gains with ethical considerations around AI disclosure and equitable tool access. The future of academic funding may depend on strategic AI integration rather than traditional manual approaches. ## 🧱 Refactor Appendix ### 📚 Literature Split Pad Purpose: Stage CEE units that become Literature notes. Split level: H3 ### [H1] AI tools transform academic grant discovery workflows > [!quote] This Simple AI Process Gets Grants Approved by [[Andrew Stapleton]] via [[YouTube]]. Published 2025. Accessed 2025-01-27. > "SciSpace and Thesify... 76% match with opening dates and deadlines." Automated grant matching reduces discovery time and improves relevance scoring for academic researchers --- ## Full Transcript [00:00] To be able to do research, you need to [00:01] beg for money. This academic panhandling [00:04] is called applying for grants. So, this [00:06] is what I would do if I needed to do it [00:08] today using AI tools. So, there's three [00:11] sort of like sections that we need to go [00:13] through. First of all, we need to find [00:14] grants to apply for. We need to know [00:17] who's got the money and when we can [00:20] actually get it. And then we can uh [00:22] draft a grant. And there's so many [00:24] different sections to a grant, but one [00:26] of the most important things is about [00:27] finding the literature. And we'll talk [00:29] about how to do that really easily with [00:30] AI tools. And then this is the review [00:33] grant stage. Oh, I forgot to capitalize [00:35] that G. Uh, I won't get this grant, will [00:37] I? Anyway, it doesn't matter. And in [00:40] this section, we're going to go through [00:42] all of the things you need to do to make [00:43] sure that your grant is in tiptop [00:45] condition and that it's got a higher [00:47] chance of being accepted with AI tools. [00:49] So, let's get into it. So, the first [00:52] thing is finding grants. Now, it's never [00:54] been easy to find grants. And there's [00:55] two things I recommend, which is Sispace [00:57] and Thesify. So, if we head over to [01:00] something like Sispace, they have this. [01:02] Look, I'll talk you through it because [01:03] it can be a bit complicated. This is [01:05] what it looks like when you land on [01:07] their page. And we can go down here to [01:09] popular tasks used by researchers and [01:11] view agent gallery. This is where people [01:13] have made agents to help you do certain [01:15] academic tasks. Then if we go to search [01:18] all agents and we type in grants or [01:21] grant, you can see that this is all of [01:23] the things that we can do. Look, I would [01:24] be using this because it's free. You can [01:26] go on and use it for a certain amount, [01:28] but ultimately grantable, find grants, [01:30] AI grant writer, and down here you can [01:32] even see you can look for specific types [01:34] of grants. So overall, this is what I [01:37] would be using to kind of like have a [01:39] look to see if there's grants around. [01:40] But there is a slightly better way and [01:43] that is using Thesify. So this is [01:45] Thesify and I've been through this tool [01:47] a load. I absolutely love it. I think [01:49] it's a really great tool for academia [01:51] and research. And the thing about this [01:53] is once you've uploaded a paper, you get [01:55] this sort of like feedback on the side. [01:57] And this feedback gives you all of this [01:59] feedback digest opportunities, but it's [02:01] resources that we really want because [02:03] then you get these little tabs. You can [02:05] look at publications, journals, [02:06] conferences. Oh, what's this? It's a [02:08] grant button. and click that and it'll [02:10] tell you the grants that are most likely [02:13] applicable to this paper and its themes. [02:16] And look, this is a 76% match. It's got [02:18] an opening date of this, a deadline. [02:20] Okay, well that's passed, but that [02:22] doesn't really matter. And then uh yeah, [02:24] we can see we've got all of these that [02:25] are actually available for this grant. [02:28] Actually, the reason these are behind is [02:29] I uploaded this ages ago, so you will [02:32] get up to date ones. Do not worry. Um, [02:34] and yeah, you can see all of the grants [02:36] and their closing deadlines and all of [02:38] that sort of stuff. You obviously can [02:39] still use your normal grant databases, [02:42] but this will give you hopefully another [02:44] little way of checking to see if there's [02:46] something out there that you should be [02:48] applying for. There is another tool that [02:50] can do it. We'll talk about it in a [02:51] minute. It's not really sort of like [02:53] science specific, but we'll get into [02:55] that in a minute in the next section. [02:56] Yeah, let's do that. All right, then. [02:58] See you over there. Bye. Hello, it's me [03:01] again. I'm back. So, in this section, we [03:02] are drafting our grant. There are loads [03:04] of tools that allow you to actually [03:06] write a grant with a single prompt. And [03:08] I'll show you one of my favorites in a [03:10] moment. But ultimately, there are so [03:12] many different types of sections in a [03:15] grant application. It's about you. It's [03:17] about the university. It's about the [03:18] project. It's about the funding. It's [03:19] about the timeline. It's about the [03:20] outputs. Oh, all of this can be so [03:23] confusing. But now you can write it [03:24] super easy. And uh there's two tools [03:27] that I really recommend. Look at this. [03:29] Sidepace is back again and grantable. [03:31] And then there's this bit. know, no [03:33] matter what grant you're applying for, [03:35] you always have to provide a background [03:37] and introduction. So, finding literature [03:39] and generating a little sort of like [03:41] literature review is super easy with [03:42] these tools. But let's not get ahead of [03:44] ourselves there, you cheeky little [03:46] monkeys. Let's make sure that we [03:47] understand what's going on. Let's have a [03:49] look at generating a draft grant. Why? [03:53] Why does that sound weird? Grant draft. [03:56] Is that better? I don't care. Okay. So, [03:58] let's head over to size space and we'll [04:00] go to this agent thing again. So, this [04:02] is the agent thing and you can see how [04:04] it went on the grant writer. When you [04:05] click on this button here, which is this [04:06] one, it takes you to this page and then [04:09] I put here create a well-written and [04:11] persuasive grant application for the ARC [04:13] grants. So, that's the Australian [04:14] Research Council grant. The sort of [04:16] grants that I would apply for when I was [04:17] a researcher and then comment on the [04:19] current state of that and search my [04:21] name, Andrew Stapen on Google Scholar, [04:23] and use it to establish my credentials. [04:24] There's a lot of stuff that you are [04:26] expecting this agent to do and stay [04:28] around because you're going to be really [04:30] amazed at what it can do. And by stay [04:32] around I mean we'll talk about it now. [04:34] All right then. So this is what [04:36] happened. Now it went through all of [04:37] these steps and it was just a case of [04:39] just waiting. So that's easy, isn't it? [04:41] Now down here you can see it says like [04:42] agent is on a coffee break. I've [04:44] exhausted all of my free credits. Yeah. [04:46] Okay, whatever. It doesn't matter. It [04:47] gave me what I wanted anyway because [04:49] this was the final output. And let's [04:51] have a look at it. Let's see if I can [04:53] make this one bigger. [04:57] Okay, there we are. This is as big as it [04:59] gets. But it went through all of this [05:01] these stages. It found me. It found the [05:03] project. It found uh references. It [05:05] found a background information. All of [05:07] that sort of stuff. But you can see this [05:09] is a really great place to start with [05:11] your draft grant because here you can [05:14] see ARC grant application advanced nanom [05:16] materials for high efficiency stable [05:18] organic photovoltaic devices. Not a [05:20] great title, but we can workshop that [05:21] later. And then look project title. Here [05:24] it is. And then executive summary. This [05:26] is the executive summary. You can see [05:27] it's reference. It's got background in [05:29] significance. It's got nanomaterial [05:31] revolution in the past five years. [05:33] Witnessed a paradigm shift in OPV [05:35] device. Like it's a little bit like [05:37] hyperbolic, but it's pretty darn good if [05:41] you ask me because if you keep [05:42] scrolling, look how long it is. It even [05:44] knows to put stuff like strategic [05:46] importance for Australia. And then it's [05:48] got research objectives and innovation. [05:50] It's generated everything. Look how much [05:52] I'm scrolling. I'm scrolling. I'm [05:53] scrolling. Go do this for your research [05:55] field because why not use this as a [05:58] template? Take the things you like and [06:00] get rid of the things you don't like. [06:02] Look at this. Look, the research streams [06:04] and then it's got um advanced [06:05] characterization capabilities and it's [06:07] got risk management. And this is where I [06:09] was really impressed with what it was [06:11] able to do. There's a couple of Andrew [06:12] Stapletons out there in the world doing [06:14] different types of re research, but it [06:16] knew to find me. Dr. Andrew John Stson [06:19] brings a unique combination of expertise [06:21] in nanomaterial synthesis, precision [06:23] characterization of tube, water [06:25] processible, blah blah blah. So it knows [06:26] exactly who I am and what I did from my [06:29] Google Scholar and wherever it sort of [06:30] like stalked me online. Nanomaterials [06:33] characterization excellence. Oh, don't [06:35] mind if I do. Water processible OPV [06:37] pioneer. I'm a blooming pioneer if [06:39] you'll believe this. And then nanocale [06:42] imaging nanoructure transparent [06:44] electrodes publication impact [06:46] collaborative networks supervision [06:48] training excellence. So it's got all of [06:49] these different things that it knew I [06:53] did and it's got like my uh uh project [06:57] expertise. It's got the the project [06:59] application current state of the [07:01] research and it it just goes on and on [07:05] and on. Budget justification. So yeah, [07:07] it's not perfect. clearly couldn't use [07:09] this, but it gives you a great starting [07:11] point. So you don't have to use your [07:12] meat brain to just kind of, you know, [07:14] get out this. You can start actually [07:16] working with real things and use that [07:18] meat brain for better things, which is [07:20] like making this better. And agreeing [07:22] with something is or disagreeing with [07:24] like stuff is much easier than [07:26] generating content from zero. So this is [07:30] what I love about this. It's even got [07:31] all the references and it's massive. [07:34] 8,500 words, contact information. That's [07:37] me. So overall, look at that. That was a [07:40] grant application at the click of a [07:43] button. There's also other tools that do [07:45] it for you, like this one. All right, [07:47] then. So, here's Grant. Grantable is [07:49] probably the only one at the moment that [07:51] is like also applicable to science and [07:54] research and innovation. There's a lot [07:56] of AI grant application tools out there, [08:00] but they tend to be for startups, for [08:02] nonprofits, for government organization. [08:04] There's a lot of stuff. But Grant has [08:07] got the ability to write academic stuff. [08:10] So if you go in, this is what it looks [08:11] like. Look, I'm not going to go through [08:13] the whole thing because this could be a [08:14] whole video in itself, but ultimately [08:16] complete your organization onboarding [08:18] and what can I help you with? You can [08:20] build stuff, you can do research, you [08:21] can refine things, you can add sources, [08:23] you can look grant, letter of intent, um [08:26] you've got budget, narrative, guide, all [08:28] of these quick actions. Look at that. [08:30] It's all just there. Lovely, Jubbly. [08:32] Love it. Yes. So try it. You can go on [08:36] and do some stuff for free. It may work, [08:38] it may not, but this is the best one at [08:40] the moment. If you do decide to to pay [08:42] for it as well, it is one of the cheaper [08:43] ones um at only I think $25 a month or [08:46] something like that. Uh so overall, this [08:48] is great. But there is something in here [08:50] that I think is good but not great for [08:52] science and research, which is this [08:53] discover, which is in beta at the [08:55] moment. And you can see here if I for [08:57] example wanted to find a grant, um let's [09:00] put energy. So here we've got or enory. [09:03] No energy. There we are. Um, energy, [09:06] renewable energy. This is where I was. [09:07] So, I could look at all of these and [09:09] find things that may be useful for me. [09:11] Now, it's very US- ccentric because you [09:13] can apply in different states, but you [09:15] can choose which country you want to [09:18] apply in, but it's like I said, it's [09:19] very US- ccentric at the moment, but [09:21] ultimately, if you are in the US, look [09:22] at this. Here's some other stuff you [09:24] could apply for. Look how much money [09:25] they got. They're so rich. Oh, these [09:28] people. Who are those Murdoch charitable [09:30] trusts? You're the richest. give me some [09:32] money. I don't want to apply for it [09:35] though. Just give it to me. All right. [09:37] Then in the little like drafting bit, [09:38] we've also got finding your literature. [09:40] Now, go check out my other video where I [09:41] talk about generating literature review. [09:43] Go check it out here using these sort of [09:45] tools because it is super valuable. But [09:47] ultimately, you can you can use sciace. [09:49] You can use elillicit, consensus, lit [09:51] maps, research rabbit, connected papers, [09:53] even good oldfashioned Google Scholar [09:55] with their new Google Scholar AI labs. [09:58] You can go and find literature to [09:59] support your application. And so no [10:01] matter what you're doing in the academic [10:03] world, you're using these at some point [10:05] to generate this grant application. And [10:08] it's just so easy to get that first [10:11] draft. And then it's all about [10:12] interrogating it, making sure you [10:14] understand um the strengths, weaknesses, [10:17] and there's a really easy way to do [10:18] that. And that is reviewing your grant [10:20] once you've got a first draft. And I [10:23] think you're going to like this next [10:24] little trick because it's a little bit [10:25] sneaky. All right then. We're reviewing [10:27] this grant. Here we go. Bonk. This is [10:29] what I would be doing right now in 2025 [10:31] going into 2026 is I would be taking the [10:34] peer-reviewed guidelines and using it in [10:36] something like chat GPT notebook LM [10:39] Claude um Gemini to make sure that you [10:42] are addressing all of the appropriate [10:44] things in the right way. And the way you [10:46] do that is super easy. Let's go through [10:48] it. So, for pretty much every single [10:50] grant that's ever been produced, you [10:53] have to find this, which is the grant [10:56] application assessor or peerreview [10:58] guide. So, here we are. This is for the [10:59] Australian government investigator [11:01] grants. Now, we can't use this as an [11:04] actual peer reviewer to review grants [11:06] with AI. That's not allowed at the [11:08] moment. And rightly so, I think, but we [11:10] can use it as someone that's applying [11:12] for a grant because look, if you scroll [11:14] down here, yeah, all of this blur, all [11:15] of this blur, but ultimately they give [11:17] reviewers a guide on what they should be [11:20] looking for. And we can use that to our [11:22] advantage because look, research impact [11:24] down here, key definitions for the [11:26] assessment of research impact. So, I'd [11:29] be putting each one of these tables into [11:32] a large language model. In chat, GPT, [11:34] you put it in a projects folder. in [11:36] notebook LM you put it in the um sources [11:39] column it's super easy and then I'd be [11:41] saying hey have I satisfied these things [11:44] to get the highest score and then I can [11:46] be assured that I have made the [11:50] examiner's life as easy as possible [11:52] because remember these examiners they're [11:54] tired they've got maybe hundreds to go [11:56] through they just want to be able to [11:57] tick a box if you make it easy for them [11:59] to be able to say yes I can see these [12:02] things here tick tick tick tick tick [12:03] while they're having a whiskey looking [12:05] over your stuff. Well, it's going to be [12:06] to your benefit because it's going to [12:08] make it easy for them. Look at this [12:10] types of research impact. So, you want [12:12] to make sure that you want to directly [12:14] address these things and you're [12:16] essentially getting a behind the curtain [12:18] view of what the peer reviewers and the [12:21] examiners are looking for. And now we [12:23] need to make sure our uh grant directly [12:26] addresses these things. Look at this. We [12:28] want leadership score of five. So, an [12:30] excellent knowledge of health blah blah [12:32] blah and knowledge. We want to make sure [12:34] that we've got all of this in our actual [12:37] grant application because if it's not [12:39] obvious to the peer reviewer and put up [12:42] frontont then it will not be recognized. [12:44] So this is how I would use this. Go and [12:47] find the peer reviewer and assessor [12:50] criteria for your grant. Put it into a [12:53] chat GPT or a large language model [12:56] alongside with your draft application. H [12:58] it's never been easier. Get on the front [13:00] foot with this guys. And by the way, [13:03] this was told to me by an actual [13:05] researcher in a university I've spoken [13:07] at recently where they were like, I did [13:09] this and I got the grant. So, I've got [13:11] proof N of one that this works. Try it [13:14] and let me know if it works for you. If [13:16] you like this video, go check out this [13:17] one where I talk about literature [13:18] reviews and how to do it in an AI [13:20] workflow. I think you'll love it. ## Highlights - AI tools. And then this is the review grant stage. Oh, I forgot to capitalize that G. Uh, I won't get this grant, will I? Anyway, it doesn't matter. And in this section, we're going to go through all of the things you need to do to make sure that your grant is in tiptop condition and that it's got a higher chance of being accepted with AI tools. So, let's get into it. So, the first thing is finding grants. Now, it's never been easy to find grants. And there's two things I recommend, which is Sispace and Thesify. So, if we head over to ([View Highlight](https://read.readwise.io/read/01kd8mzx364tyr10hzw464re4s)) - Tags: 👻 ai highlighted - resources that we really want because then you get these little tabs. You can look at publications, journals, conferences. Oh, what's this? It's a grant button. and click that and it'll tell you the grants that are most likely applicable to this paper and its themes. And look, this is a 76% match. It's got an opening date of this, a deadline. Okay, well that's passed, but that doesn't really matter. And then uh yeah, we can see we've got all of these that are actually available for this grant. Actually, the reason these are behind is I uploaded this ages ago, so you will ([View Highlight](https://read.readwise.io/read/01kd8mzx3fp8h3pyjnhh6rs6xg)) - Tags: 👻 ai highlighted - It's all just there. Lovely, Jubbly. Love it. Yes. So try it. You can go on and do some stuff for free. It may work, it may not, but this is the best one at the moment. If you do decide to to pay for it as well, it is one of the cheaper ones um at only I think $25 a month or something like that. Uh so overall, this is great. But there is something in here that I think is good but not great for science and research, which is this discover, which is in beta at the moment. And you can see here if I for example wanted to find a grant, um let's put energy. So here we've got or enory. ([View Highlight](https://read.readwise.io/read/01kd8mzx4ng995z3y63adnd9gb)) - Tags: 👻 ai highlighted