Matthew Sillence: Matthew, hello. My name is Matthew

Sillence, and welcome to another episode of PGR matters. Now this

time I'm departing slightly from our usual interview format to

focus on something that I've intended to discuss with

postgraduate researchers for some time, and that is about the

kind of digital tools that can support your work. Now, it's

fair to say that there's no shortage of the software and

apps for computers and mobile devices that seek to fix a lot

of perceived problems in higher education and actually in

professional life broadly, a lot of the Center on productivity.

So that's getting things done, and, more importantly, getting

things done well. Now the big challenge is deciding what to

use in an ever expanding market of applications. Admittedly, I'm

a bit of an early adopter. I love trying out shiny new

software, and over the years, I started to realize that the

constant pursuit of the new perfect app is exhausting and

ultimately pointless. There's no such thing as the perfect app.

New products arrive, old ones disappear. Favorite products

have got all sorts of features that have been there for a long

time. They get discontinued, so lots of these changes are often

out of our control. So in this episode, I'm going to draw

heavily on the work of Cal Newport, who's a professor of

computer science at Georgetown University in the US, and his

particular book, digital minimalism, choosing a focus

life in a noisy world. It's worth mentioning that Newport's

book predates the COVID 19 pandemic, during which time so

many people faced an existence that was mediated through

screens and smartphones. And in many ways, I think it's even

more relevant in our post pandemic, hybrid working world.

It's especially important for those who are working in the

knowledge economy, including post graduate researchers,

because distraction caused by a lot of push notifications and

social media platforms impact negatively on our productivity

in academia. Now, following Newport's minimalist ethos, I'm

going to introduce the following questions and some points for

consideration in this episode. So the first one is going to be,

why should PGRs have a digital toolkit? That's our first one.

The second one is, how do we decide what goes in the digital

toolkit, when change, when tools change all of the time?

The third one is, what is digital minimalism, and why does

it really matter to us? And then in the final segment of the

program, I'm going to be talking about some suggestions for your

own digital toolkit. Now. These are five applications that I

have implemented in my own work life. I found them particularly

helpful, and they are suggestions by no means, things

that you have to adopt, you'll probably find many alternatives

out there as well. So at the end of the program, I'm going to

invite some suggestions from listeners as well. So it'd be

great to expand that list a little bit more, but keeping

that idea of digital minimalism in mind.

So without further ado, I'm going to move on to discuss the

first question, which is, why should PGRs have a digital

toolkit? Right? Here's a fact, most of your work will be

conducted digitally, even if you work well with analog tools. So

I'm somebody who still uses a notebook and a pen, and I use

the bullet journal method by rider Carol to do a lot of my

organizing. I use that for my work. I use that for my personal

life. It works really, really well for me. In fact, it works

better than a lot of digital tools that I've implemented over

the years. It's a great to do, to do list. It's great for

private journaling. It's great for coming up with like plans

and ideas. I've even used it for sketching alongside my notes as

well. Now I'm not saying get rid of any of that. If you work well

on paper and you have analog ways of managing your life and

organizing it and it's working, stick with it, definitely. But

when it comes to research, the material you're managing, the

words that you're developing. Using the data that you're

crunching. Most of that is going to be done on a screen. It's

going to be on a computer, it's going to be on a tablet, it's

going to be on a laptop, it's going to be, potentially even on

your smartphone. So there are lots of these devices that we're

using all the time to manage digital content, I think where

possible, you should have some choice around the tools, the

digital tools that work well for you. Now most institutions, if

you're based in a university environment, you've probably got

access to a lot of business level application suites which

do a fantastic job. Now that's things like Microsoft's office

365 it might be that you've got access to the Google suite of

products in your institution, anything really, where there's

lots of storage, there's lots of different apps that you can

access for free without having to pay a subscription or

download the software outside of the institution. So that's

fantastic. A lot of those are very powerful, tried and trusted

tools of the digital world. We use them in office environments

all the time. We use things like Outlook for managing our email,

Microsoft Word, which has been very often the kind of default

word processing application for a long time. Now, all of these

things are still there. That's absolutely fine, but a lot of

these tools are integrating networking features, so things

like shared documents, instant messaging, video calls,

Microsoft Teams being one of those, and there is some benefit

to that if you're working in a team of people, but if you're a

researcher and you're focusing on your research, or your part

of your project's research, this also introduces a lot of

potential for calls on your attention. So that will be

things like pop up notifications. It might be

reminders of events that are happening. Somebody sends you a

an instant message through the teams chat. You're kind of

flicking between different applications all the time,

shunting data around on a cloud folder system. It might also be

that there's things like project management applications that

you're using. So lots of these things now have become part of

working environments, but they don't have to be the only way

you work. So having a digital toolkit really means making you

think about what you need to carry around with you to get a

task done simply and effectively with minimal learning curve. A

lot of those advanced tools do require quite a bit of training

in order for you to use them effectively and reducing the

distraction and the pull on your time. So that's my first point.

I think it's good for you to decide what goes in your tool

kit, not necessarily what your institution or somebody has told

you that you've had to stick with you can make a choice about

some of these things. Now, slight caveat there, if you're

dealing with research data, your university has probably got

rules around where you can store that data, so if it has to be

stored within a an encrypted institutional storage system,

follow that. That's, that's what's being suggested, that's

there for information security, by all means, observe those

things. But if you have personal information that's personal to

you, not not necessarily about your project, or non, basically,

not sensitive information, those might be things like personal

notes, things that you feel, that you just develop as you go

along. It's not really a part of the actual research data that

you're working with. You might have a bit of choice as to what

applications you use to carry out your activities and plan

your life. So that's what we're going to be looking at really

today, our second point here, second question is, how do we

decide what goes in a digital toolkit when the tools change

all the time? So I mentioned earlier, new products arrive,

old ones disappear. This is a perennial problem. As I

mentioned, I love adopting new shiny things, but, you know,

within six months a year, a lot of those things get

discontinued. They get bought by larger companies and adapted and

monetized, and things that were free cease to be free. So

there's lots of barriers to going. All in with a particular

application. So I've got a few general rules here. My first one

is to focus, wherever possible, on open source, community

supported software. So I'm going to talk about that today. Most

of the things that I'm going to be covering really are open

source applications. They're free bits of software, and they

have a community out there that updates them and has a kind of a

forum for users, that kind of thing. Crucially, as well, the

source code for these applications is normally

available through GitHub, so you can see how the product has been

built. You can also see the updates that have happened to

that product over time. The second thing is going for

interoperability, or compatibility wherever possible.

What I mean by that is that it's possible to get your raw data

out of that application. So lots and lots and lots of

applications out there in the world that we pay money for,

really our proprietary formats, so they use a particular file

format designed by that company, there's normally some

intellectual property protected as part of the business model,

and that file format isn't strictly compatible with other

kinds of systems, so you might have to find ways of exporting

the data, converting it into a different file of different

format for it to be usable. I love using fairly simple tools

that use non proprietary file formats. So things that I know

can use, you know, basic text files, that's a very good

example of that. It might be a particular data structure, like

comma separated values, or tab separated values, rather than an

Excel spreadsheet, so something that gives you the raw structure

of the data that you can import into another application. The

third thing that I'm going to recommend, really is to think

about lightweight computing. So when I first worked from home

during the pandemic, it was quite a shock to me to realize

just how much data and how much bandwidth I was using to just

get simple jobs done on a computer working at home all

day. I had terrible, terrible broadband at home. It was really

difficult to have video calls. But I also noticed that my my

computer at the time, just really couldn't cope. I had a I

had a fairly old MacBook Air. It did not have a lot of processing

power. It did not have a lot of storage space. So every time I

was downloading a new application that I thought I

would need to become more productive, it was just eating

into the storage space on my device and also the the it was

burning into the processing on that device as well. So every

time I opened more than a couple of applications, my Mac would

just slow down. It would struggle to manage everything.

If you've got a Windows PC or you're running Linux, you might

have the same problem. So very often, you're having to kind of

improve your device, the actual hardware itself, to then cope

with this more demanding software that you're installing.

Now, I had to do that, but you might not be able to do that. So

you might be working on a personal device, and you have

not got seven or 800 pounds or a lot more, if you're working with

Apple products, to shell out on a new device. So if you can get

some use out of the existing device, go for something that

does not take up a lot of space on your computer's hard drive,

but importantly, does not burn up a lot of the processing of

your device as well. So it doesn't kind of slow your device

down, and it operates smoothly, opens easily, saves easily, so

lightweight. That's what we're going for. Now our third

question here is about digital minimalism, which I mentioned in

the intro to this episode. Why does it really matter? Well, I

think what I like about Cal Newport's book, and why I think

it's still relevant, is that he's not advocating that we are.

Uh, entirely remove technology from our lives. It is something

we have to live with. We still get business done. We get our

lives done through applications, through websites, through email,

all of these things. What he is, I think, trying to get people to

realize both in the primarily in a work environment, but also in

their personal lives, educational careers as well, is

that we need to be selective and intentional about the digital

tools that we use, yes, remove things to see what the

difference will make. If it helps you to take a social media

app off your smartphone to reduce the number of times that

you check social media every day, I'm all for it. That's

brilliant. But we also have to get certain things done. If

you're a journalist and you're using social media to keep up

with news stories, or you're a researcher on social media,

that's kind of what you do. So that could be a big risk to your

professional life if you were to remove that. So you've got to

think about how you actually manage those tools effectively,

how you manage your life, and that means deciding when you use

something and not just using it habitually and thoughtlessly.

The second point I'd like to make about digital minimalism is

actually that sometimes you really don't need to be in

shared workspaces. So I love collaborative tools. I've used a

number of them over the years. I still use teams for a lot of the

kind of group organization in my professional life. I've used

some project management tools that I've shared with people to

keep track of what they're doing. There are brilliant

applications that do that. But as a post graduate researcher, a

lot of the time you're managing you your research degree, your

project, even if it's got somebody else's name as the

principal investigator, and you've been brought on as a PhD

student to carry out an aspect of that project, it's still part

of your degree program. You're responsible for, how you

organize your life and sort that out. So yes, you're going to

have to reply to emails from your supervisory team or your

advisor. You're going to have to conduct business and

communication, definitely. But what I would say is, where

possible, minimize that batch. It Up. Use what Cal Newport's

later work has talked about, which is the the idea of time

blocking, to not be on call all the time. If you can use tools

that do not have that feature built in, it makes your life a

lot easier from the start. So I would also say, and the third

thing, which is probably quite controversial nowadays, is

staying offline, if possible. That's pretty hard in a world

where we can get on a to a Wi Fi connection really easily. We've

got, you know, 5g at the moment with mobile phone connectivity

in the UK, being offline is probably seems like it's not an

option. It absolutely is. You can switch off the connectivity

on your device. You can turn off the Wi Fi connection on your

laptop or your computer at home. But also that means you can

install apps that run offline, things that don't need you to be

connected all of the time, so things that and since turning

the clock back to life in the 19 early 1990s where actually dial

up connectivity, which I remember from my from my school

days and my teen, teenage years. You know, you worked offline

pretty much all the time. You only went online when you

actually needed to get something. So think about a

minimalist approach which is based on reducing that

connectivity and that Online Exposure all of the time. Think

about it sort of really on demand only when you really

actually need that thing, do you activate it? So next up, last

bit is my suggestions for a digital toolkit. So I'm going to

talk through very quickly, five applications that I would

recommend postgraduate researchers use you. Some of

these will not be relevant to you at all. Some of them will be

potentially relevant to any. E researcher. And many cases, you

might be a very experienced researcher and actually already

be using this. So my first one that I'm going to talk about is

something called obsidian. That's obsidian.md So that's O,

B, s, i, d, I, a, n, dot, M, D. Now we're going to have the link

in the show notes for you, so you can follow that through and

have a look. Now on obsidian website, it says obsidian is the

private and flexible writing app that adapts to the way you

think. So. It's a writing application, interesting, okay,

it's talking about notes. We've got that. So why is this

different? To say the Notes app on your iPhone or on your Mac,

or Microsoft, OneNote, all of those kinds of things. What's

the what's the big selling point? I mean, the world is kind

of full of note taking applications. Now, what I really

like about obsidian is it's not so much the application which is

the big selling point here. It's the format that the application

works in. So you'll notice that the URL for obsidian has the the

suffix, which is.md and what it's referring to there is

markdown. Now if you work in computer science, you probably

are familiar with this particular way of writing.

Markdown is fundamentally a very simple text way of formatting

and indicating the structure of the content that you're

creating. So the closest thing we can think of is probably mark

up so HTML. So that way that we use tags to indicate specific

pieces of content that go into forming a web page. So something

that's been around for a very long time, and we're used to in

a in a web environment, markdown uses very, very simple symbols

and a lot of very simple punctuation, really, to to

indicate things like headings, ordered lists, unordered lists,

it can help you create things like a task list and all just

through very simple typing into a dot txt file and then saving

that as a.md format. So what obsidian is is really an

interface between you and your text files, and it uses the

markdown format to display the text in a more friendly manner.

So the kind of nicely formatted text that you would find in any

note application or Microsoft Word, really. So that's that's

its kind of selling point

that might not sound fantastically interesting to

most people, but what really got me was the fact that the app

itself, obsidian, allows you to tag a lot of the content

effectively, and also to use plugins to visualize the content

that you've got, by which I mean, if you have, let's say,

500 notes relating to your research, all on different

aspects of things that you're looking at. If you were to use a

if you'd use one note or the Apple Notes app, something like

that, you're probably going to have to sort of search through

those notes to find the relevant ones. You can probably tag some

of them with some simple tags if you needed to. But you can't

really see everything. You have to access it through a search

interface, a search box, and it will just bring up a list of

results that where there are that particular search term

appears. Obsidian has a graph plug in, and the graph is a way

of visualizing the connections between certain notes, so it

might be or certain terms in your work. So you can see

clusters. It's kind of a little bit like a network diagram.

Release. You're visualizing clusters of Con. Set ideas. I

love that. It's a great way of seeing where your notes connect,

where your ideas connect. And you can export the data. You can

save it all very simply as a series of lightweight text

files. These are non proprietary. They don't burn up

a lot of space. They don't eat up a lot of space on your hard

drive. You can stick them on a memory stick. You can upload

them to Cloud Storage if you want to. You could probably, you

could, pretty much put most of your notes in an email

attachment and send them to someone, and if they're in

Markdown format, they can be imported into obsidian or a

number of other applications that read markdown, which is a

lot these days, including a lot of project management

applications. And they can be opened and they can be formatted

beautifully, as you intended. This is not an advanced

application. It's very unlikely you would be able to format your

entire thesis in Markdown. You probably don't want to, but I

think for note taking, it is amazingly good, really simple,

completely free. There is pricing. If you want to save the

file you want to back this up to some cloud storage, but there

are ways of getting around that, and it's nice to have that

localized, offline approach to things you do not need to be

online to use this tool, you can actually write in a focused

manner. Get your get your thoughts down. Look at your

ideas as they're shaping up visually. I I love it. So

learning curve wise, it's a little bit of a steep learning

curve on this one, admittedly, because you're having to learn

markdown. There is a fantastic website on that, if you just

look for markdown. Just type that into a search engine.

There's a great cheat sheet on the main markdown website which

will take you through the basic sort of ways of formatting plain

text. And you can learn that probably in an afternoon, all

the things that you'll need to know, not very difficult to do

at all. So that's my first sort of suggestion for for a digital

tool. Let's see our next one is Zotero. So this one you've

probably heard of in your university environment. You've

probably heard of it in relation to things like Endnote,

Mendeley, other kinds of bibliographic management

software. That's basically what this is. It is an application

that's been around for quite a few years now. It's available on

lots of different platforms, Mac, Windows, Linux and even

iOS. Now it's improved a bit over the years. It's there's a

kind of a web based version. Now they have started to monetize

this a little bit in terms of storage, but ultimately, it is

still out there in the world as a very simple, ready to use

application. It is, it remains open source. It's been developed

by an independent nonprofit organization. They are not

trying to monetize your private information. This, I think is

really important, because a lot of modern applications are

really harvesting what you're doing and what you're entering

into it. Zotero is not doing that. It's a pretty

straightforward tool, in a sense, it's a database for

bibliographic metadata. So what we mean by that is that you can

type in all of the details of a reference that you found in a

book or journal article, whatever it happens to be, or

you can basically import that directly from the web browser

using a plugin. You can import from databases, library catalogs

as well, that kind of thing. It's a slightly lighter weight

version of something like Endnote. EndNote has a lot more

bespoke styles. It's got slightly more features. It's

been around a lot longer, but Zotero is fantastic. I still use

it in my work. I do prefer it nowadays to EndNote, to be

honest, because it is a lot easier to use, and most

universities probably do have access to this on their

application system, but you can download it at home and install

it on a device, very, very simply, so fairly easy learning

curve. You know, you basically can get. Started within a few

hours. Probably nice features that they have now, or things

like the PDF previews, so that you not only can just see the

just you don't just see the metadata for the item that

you've got, but you can also see a little preview of the full

text of the PDF article, or whatever it is you're looking at

so really nice. You can organize that into collections. You can

label or tag things as well. Great way of collecting,

organizing, annotating, citing, and also, you can share that

research. You can export it, send it to people, send it to

your supervisory team say, Hey, these are the great articles I

found in the last month. You know, these are the things I'm

going to be talking about in our next meeting. What do you think?

So, very, very, super easy. So Zotero definitely is a must, I

would say, pretty much for any student. Really great

application. Third one is tropy. So tropy is it says, really on

the home page, tropy.org explore your research photos. So it

gives you a very upfront explanation of what this is for

if you have a lot of photos for your research, that could be,

you know, snapshots of documents or objects, or, you know,

scientific historical information, that kind of thing.

You know, you need to organize your photos in some way, just

leaving them in folders, like I've afraid done over the years,

where you've got some kind of, you know, IMG underscore prefix

with a, you know, four digit number after that, before you

have a you know, List of endless JPEGs that don't mean anything.

You've got to find a way of giving some kind of meaning and

information to the photos that you save and be able to find

them, be able to find them, be able to relate them to things,

be able to organize them effectively. Quite a lot of

applications are not great at doing that. Yes, you might use,

you know, the iCloud photo app. You might be saving things on

one drive, but you've still got to, you still got to track these

things down. It might be that maybe you don't need the actual

photo, but you need to know something about that photograph

so you know, when was it taken? What were the details of the

camera that took that photograph? What does it

represent? Does it come from your collection? Has it been is

it something that you've imported or bought from another

organization. What are the use rights of that? Where did it?

You know, what did it? What sort of element of the collection did

it come from? Would you be able to find the original again, if

you needed to? So tropy is a great tool that allows you to

import photos

and then, rather like Zotero, really is adding that metadata

in, and they've got lots and lots of templates that they use,

you can also customize that a bit, which are fairly consistent

with a lot of archive formats. So there's a lot of similarity

between something like Zotero and Tropi. One of the reasons

for that is it was created by the row the Roy Rosenzweig

center for history and new media, and it's Zotero also came

from that same group. So the thinking around that is being

particularly useful for scholars in the arts and humanities,

maybe areas of the social sciences as well. So I would say

really nice application to use, fairly straightforward. There's

a few things to learn. I think it's a little bit trickier to

learn how to use tropy than it is to learn Zotero. One of the

things that makes that a little bit more difficult is the

exporting of the data. So it uses a JSON linked data format,

which is a little bit more complex if you're not into kind

of things like digital humanities, but it also has

comma separated values, so you can get that out into a

spreadsheet application very simply as well. So that's an.

Nice little tool. I've used it in my research over the years. I

still do use it. I love tagging things. I love having lists of

photographs that I can use. It's the kind of thing that if you've

got a device that you're using regularly, like a Mac or a PC

that you do pretty much most of your work on this is a great

opportunity to keep all those things in one place, not

terrifically challenging in terms of space on your computer.

So I think the I've not found it too clunky and applicable.

Application to use generally, and, of course, free, so do

check it out. That's a good one. Okay. Last two, home stretch.

Number four is open refine. So few years ago, I was doing some

teaching on managing research data, and I have to say,

OpenRefine is one of the most amazing applications I've ever

come across. Again, open source, completely free codes on GitHub,

there's a whole community and forum of people who support

this. It is brilliant. Whether you're in the sciences,

medicine, health, social sciences, arts and humanities.

Doesn't matter where you work. If you've ever had the problem

of opening a spreadsheet of data either that you've created or

somebody else has created, and the columns and the rows have

got kind of inconsistent values in them. There's different date

formats. There's whole like rows which are empty, that don't have

anything in people have been spelling things in the wrong

way, so you can't kind of do a count on the number of instances

or occurrences of particular things. All of that data is

probably quite messy. You need to clean it. You need to

transform it in some way. Open, refine is great for doing that.

It's it allows you to import a file, say an Excel spreadsheet

or CSV file, it will have a look at the structure of the document

already. It will look at where it will give you the opportunity

to actually facet the data. So that's looking at different

views of the whole data set, particularly good if you've got

really large data sets, but it can also use clustering

heuristics to look at some inconsistencies by merging

similar values. So if you have people who've got, you know,

maybe someone who's got a particular name, it's been

spelled incorrectly several times, maybe someone with a very

similar name that's in there, it will kind of flag those things

up and enable you to make a global change in the document so

that all of those values are corrected without you having to

go through 1000s and 1000s of rows of a spreadsheet, manually

doing that, which will take you hours and days, so lots of that

kind of cleaning work that can be done. What I really love

about open, refine, is it, and this is in the, you know, era of

generative AI, right? This is the kind of thing that

generative AI should be doing. But what I love about it is it

doesn't use that currently, OpenRefine is still using very,

very, very simple processes and heuristics on app so on the

application itself to do that cleaning. It's not pushing data

into the cloud. It's not being harvested by some huge tech

company. You're not forking over your precious research data to

somebody else. So you can do that on device. You do not have

to even be connected to the web to do this. It runs normally in

browser, so it actually runs locally on your device, but it

doesn't need a connection to actually run that. I love it,

open, refine, download it today. You won't regret it. I think

that's one of the best tools out there for for all research

researchers. So our last one, which I have to say, I'm I'm

pretty new to, and I'll confess it's the only one of the five

that I haven't really engaged with that much. And the main

reason for that is because I use a bullet journal for a lot of my

daily and weekly planning. But if you are somebody who likes to

have on your screen a kind of overview of your week, what

tasks you need to get done, then week to do.me, so that's week T,

O, D, o.me, is a fantastic app, again, open source, completely

free. It's got the source code on GitHub, runs on your device.

You can download it. There is a sort of in browser version, I

think, available. And what you will find is, this is a very

simple application window. It will open up at the top of the

the window. You've got the kind of a five days, or, I think you

can do a seven day week along the top from the current day,

and each day has a set of space, basically space for lists. So

you can just click on a bullet point create something that you

want to add to your to do list that day. You can color code

them, you can cut you can drag and drop them from one day to

the next. So if there's something you didn't do that day

and say you want to push it to next Monday, you can just pick

that task up and throw it over onto the Monday column, and it's

out of your out of your way. And then below that, you can create

custom lists. So it might be, you know, ideas that you've

you've had while you're typing, it could be, you know, milk that

you need to buy on the way home, anything, pretty much, you can

generate your own little list. It's pretty simple. It's not

sophisticated. It does have notifications, so it will kind

of pop up with a reminder if you want it to, but by default, it

doesn't force you to do that. I like it. I think it's a really

nice, minimal weekly planner. It's not telling you to you

know, it's not interrupting you with chat messages. It's not

flashing a load of advertising at you. It's not harvesting a

load of data about you. It's not pre booking things for you. It's

not leveraging AI. This is super, super, super simple. I

I've got to say, if I didn't use an analog method for a lot of my

my time management, I would be using this. I think it's, I

think it's great. So week to do, check it out, download it.

They've got, yeah, they've got version so pretty much any

platform, so Windows, Mac, OS, Linux, and it's also available

in multiple languages, so yeah, total kudos to Manuel Ernesto

Garcia here, who who developed this tool. Very good.

Okay, so that's that's my five suggestions for the digital

toolkit. Those are things that I've been working with. I could

talk about loads more things, but I think those five, I would

say, would be good ones to get going with if you're a current

postgraduate researcher.

So in before we get going, I would just love to hear your own

suggestions about digital tools that help you in your research.

Hopefully this episode's been useful for you today, but if

you'd like to share some of your own suggestions on this podcast,

then just make a short Voice Recording, preferably less than

two minutes, telling us about the tool that you use and how

it's helped you, and you can send this to our email address,

address, which is PGR matters. That's all one word. So PGR

matters@pm.me with the subject line digital toolkit. So put

that in the subject line. We know to flag it. We can respond

to it. And if you'd be happy for us to put that on the show, we

can add that into upcoming episodes. We'll do a new little

segment on the digital toolkit for PGRs, and hopefully build up

some ideas suggestions that can help others in the world of

research. Thanks very much for listening to this episode. I do

hope you found it useful, and we'll be back very soon with

some future insights into research projects and I. Coming

up soon as well, some ideas around the world of doctoral

supervision. Thanks very much. I'll see you soon. Take care.

You.