Speaker 1: The first AI tool you need to know about for your literature review is in Microsoft CoPilot. So here I am in the Edge browser. Now this isn't my most favorite browser but it has so much power that I'm starting to use it for exploring different academic worlds. You'll see what I mean in a minute. So here I'm on Google Scholar in Microsoft Edge and up here is CoPilot. So I click on this and it pops open. We get these two tabs at the top, chat and compose. At the moment I'm more interested in chat. So I think this is an amazing partnership where you've got Google Scholar and essentially an AI bot that's just always on the side of the program just being like um how can I help you? Do you need me to explain anything for you? And that's what I absolutely love. So here let's go in and have a look at transparent electrode. There we are let's just say applications and then we've got all of these ones. So then I can start sort of going okay well let's have a look let's have a look at this one at the top and then I end up with this page right. Now it's about using CoPilot to extract the most important information from this page. So I can easily click this generate page summary. I click on this it will look at the page all of the text and start producing a page summary. So the one thing that I've really been impressed with is how much this has improved since I last used it. I don't know if they changed it from Bing very much but it is so much more powerful than it was. So here we go introduction, properties of TCOs, applications and they've got all of the references there as well and it's got a reference as well to science direct. Absolutely love it and it knows that it's talking about this page which is just so simple. So as I'm searching the literature I can get small snapshots, snap, snap, snap of different research that I come across. Now it also works with PDF. So if you've got a PDF on a URL like this and you can see that I've tried it out here before this is where CoPilot really comes in. I just said generate a page summary and because it knows it's all about a PDF the one thing I love about it is that it's gone through and it's extracted the most important information. So transparent conductors, then it's got properties, applications and now I can start looking for more information about this page which is just so very very cool. So generate document summary, all I need to do is click there you can see I've got generate document summary. The document summary will spit out all of the stuff and the one thing I like about this is it grabs the actual information I'm interested in as a researcher. The numbers, the outcomes, the most important non-fluff parts of the paper. You can see here we've got properties of the planar electrode, got the fabrication process, we've got the take-home message and everything in there is just four bullet points to explain all this. Now clearly if I wanted to know more about the paper I'd actually read it but when you're doing your literature review and doing that first search this is all you really need to get an idea of whether or not something is interesting for your research field. I'll be honest with you I don't know if this is actually AI based but I'm very impressed with what it can do. Lens.org. When I first saw it I was like hmm this is going to be expensive isn't it? I head over to the pricing thing and you can see that it's got an open public access for individuals wanting to search and analyze patterns and scholarly work. So it's completely free which is just so very cool. Now you can decide whether or not in the early stages of your literature review whether you want to search patterns. I think that patterns are underutilized when trying to understand a particular research field. Patterns tell you what people value the most in terms of money, what they want to protect, what they think the future of a certain field is, particularly in materials science and chemistry where I was. But let's just use it for scholarly works. Let's go in and type in organic photovoltaic devices. Did I spell that right? I'm a genius. Let's go. So it's found 33,663 works. It's got works cited by patterns that tells you what's like you know most interesting to the world of money in terms of patterns and what people want to protect. Citing patterns, pattern applications, we've got all of that which you don't normally get in other sort of academic search engines. And now we can start to explore all of these works. You can see where you've got the institution along the side with the most papers in this search. So that will tell you essentially where most of the work is being done which is another awesome little side bit of knowledge that you should be gaining during your literature review that I don't think I've seen anywhere else. So here you can see you've got the title of the paper, you've got this additional info, you've got abstracts and field of study. So if you click that you can go and it loads the scholarly work and you can start. Yes I'm a valid user. Then you can start looking at the abstract. We'll go back and you can just start clicking through to understand this area of research. It's completely free, completely open access and this is one thing I really like about it is that on the side here all of the filters you can actually sort of filter very granularly. Yes that's the word granularly. And you've got flags, whether or not it has open access, whether it's got abstract, has full text, all of this stuff is so much more powerful than a lot of other sort of like research tools that I've found particularly for literature review. So check out lens.org. Now you'll notice in the patent list you've got all of these companies now that are interested in OPV layers. I think when you're doing a literature review knowing what companies want from any research study is also really nice little bit of knowledge that you should gain during a literature review that you can't easily find elsewhere. And lens.org really just gives you that information. So you can see here single junction organic photonic devices and once again you get all of the date range, all of the filters, all of the different ways in which you can search and filter this data and I think that is such an awesome little thing that too few PhD students actually put the effort into understanding but here it's just so easy. Go check out patents for your research field. Another completely free tool is Semantic Scholar. Now Semantic Scholar is like old school in the AI world now. A lot of different AI search engines for literature reviews actually use Semantic Scholar in the back end to sort of search for things. So you can go straight there, it's completely free and it's just a simple way to find research with a simple question. So here I've got what is the best beard for attractiveness and I'm going to search no papers found. That's sad. That makes me sad. All right let's try again. Let's try beards and see what happens. All right we've got 30,400 results for beards and yeah this is just a great way of finding out about research another place you know in your literature review you want to go out explore as many places as possible, search it in, suck it in. These AI tools make it super easy to find different types of research papers that you should know about. Once again we've got all of these ways that you can granularly filter. So we've got fields of studies, date range, has PDF, author, journal references and you've got how you can sort by references, sort by recency. So that's what I normally do when I'm looking at a literature review is I want to know what the most up-to-date work is. Here we've got 2022 cohort profiles, adolescent mental health to know what that tells me about beards. But also we've got gbeards, sbeards, cbeards, people with beards in their name. I love it. So are beards honest signals of male dominance and testosterone from 2021? Anyway this is where you can find all of that information and I love it because down here you can obviously cite it, you can save it, you can go to the actual site where they have found the research where you can delve deeper and if you do this in something like I talked about before which is Microsoft Copilot it's easy to sort of navigate, extract the information. So using it in something like Microsoft Edge will just increase the power of AI in your literature review. If you're looking for 100% free literature mapping tool this is it, ResearchRabbit. So this is the interface when you sign in, you put in a new collection. Let's say that we want to put lit review, so lit rev and then we click on this collection and we can start adding papers. So we can go in and start looking for things. So either we can add a paper we know and love or we can upload a file from Bibtex, RIS or you import your Zotero selection. There's so many ways to start mapping the literature. So let's go in and have a look to see pimples. All right let's see I want to go all subject areas and let's have a look to see what they recommend. Yep pimples, reduced dimples blah blah blah yeah that's good. Let's add that to our collection and so it says here added one paper to our collection and then this is where it kind of starts to unfold, the fun begins. Where we just click on that you can see it sort of expands this way. This is the selected paper, it's got a pdf and then it's this little sort of like tab here that pops up that allows you to explore a lot of the literature. Similar work or references or citations, these authors, suggested authors, this is just so powerful. It can get really overwhelming if you don't really understand what Research Rabbit is trying to allow you to do but it's just allowing you to start with a seed paper and explore and go out. Once you click you get more options, you can see here I can click on that and then I get my selected paper and it starts all over again. So this is a way to really snowball all of the literature that you can find and Research Rabbit is free. It says it's going to remain free forever, that is just so cool. You should be using it for your literature review. Another tool you should be considering using is Consensus. Consensus isn't 100% free but all of the powerful stuff is pretty much free. You go in and you can ask the research whatever and you can find the consensus around a particular question or research field. So let's use this can brain stimulation treat depression. We can go in and then we've got these buttons that we can turn on synthesize and co-pilot. You only get so many of those that you can use if you're not someone who pays but ultimately look you can see here we get the summary. These studies suggest the various form blah blah blah. Then we've got consensus meter from eight papers. Yes, possibly no. So yes it can help and this is just such a great way to get that really broad view of your research question or of a research question that pops into your mind or that you're studying. Really cool. Co-pilot down here gives you the ability to get a snapshot essentially of all of the research that it's found. It uses all of the references so you can be sure to you know you can easily follow up on all of the stuff that it gives you which I really like. So consensus is a place that I regularly go if I have something pop into my mind. I'm like does that make sense? What is the current state of the literature around this question? Boom it gives it to me. Hours, hours saved. Consider using consensus. I've got to mention perplexity because you can go here for free, ask anything, change this focus to academic then you can search in published academic papers. So if I want to go here and I want to look at face piercings. There we are. So we can go in to have a look at face piercings in the academic realm and one thing I love about it is this pro search. Now pro search doesn't always happen if you are on free because you've only got so many of those a month but this is what you get. You get sources which is just great. You get your answer which is AI generated and you get this sort of list of things you need to read and then you can go in and check all of these references by clicking on them. Absolutely love it. I prefer this over chat gpt when I'm actually searching for literature so consider using perplexity. The free version is strong enough for you to be able to do this and I really really like it. Perplexity, what more is there to say? Use it. The last tool that you should know about is size space. I've talked about this a lot on this channel but you can go to this tab which is literature review and then you can discover papers. So here we go. You can have a look at all of this stuff here. Let's go here and click and then you can see you get this tab that opens up. This is slightly different to other tools because you get this insight from the top papers but it's really this table down here which is where a lot of the information is shown to you. It's in this table format. Some people love it, some people hate it. I actually quite like it. You can see we've got the papers that it's found here and it's got insights, too long, didn't read and then you can even add your own stuff as well. Limitations are included and then you can add a column. Let's have a look. Practical implications. We can add a column and it will go through create AI generated text based on the contents of these studies and it's just so very very easy. Consider upgrading but in terms of pricing you get co-pilot answers from standard models, you get limited co-pilot messages, you get limited literature review searches but if you're only starting out you don't need to pay anything. It's super powerful and it gives you that first little start into your literature review that is just so easy, presented to you nice and easily in a table format. Great, absolutely love it. Check out SciSpace for your literature review. Oh, that was a little bit angry wasn't it? Check out SciSpace for your literature review. If you like this video go check out this one where I talk about the 12 best free AI tools for academics and researchers. Check it out because I'm sure there's something on that list that you'll love.