Over the past year and a half, I took a series of notes on my practice. I gathered those in various documents, shuffled them around, and merged in older thoughts and reflections. Lockdown #6 was an opportunity to bring all this to shape. I am now sharing those thoughts as a series, forming a sort of mosaic on my work, and what has been driving it.
Entrepreneurial programs and other incubators encourage a narrow version of success. Focus on one problem, give it one solution. There is pragmatic wisdom to this approach, but is it enough to solve wicked problems? And if it isn’t, then what is the point?
I’ve always worked across multiple projects. For the longest time, I was embarrassed that I could not identify one industry, or name one role description. Yet wherever I found myself, it always felt like problems were not understood fully, and solutions therefore partial.
A friend was joking on his Facebook page: ‘We speak a lot about the progress of Artificial intelligence. What I’m observing is the growth of natural stupidity’. We have more and more data, for sure, but no more capacity to make sense of it.
In how to think, John Dewey describes two movements of the mind. ‘As analysis is emphasis, so synthesis is placing; the one causes the emphasised fact or property to stand out as significant; the other gives what is selected its context, or its connection with what is signified.’
We understand problems based on the frame we use. Finding the right frame is as important as finding the right definition within the frame. A signal is only significant within a system. And how are you gonna find the right frame, if you spend your life focusing on just one sector?
I always resisted the lure of the single project. Instead, I deliberately cultivate variety, in what I read, in what I hear, even in what I eat. So that I can be more able to detect weak signals in the noise, frame problems appropriately, and suggest original approaches to tackle them.
In 2020, I completed a PhD. My thesis maps an emerging ecosystem of digital Chinese language learning. I started the research in January 2015. At the time, the PhD was a way to fund my work on Marco Polo Project. Short-term, through a scholarship; longer term, by looking for ways to build partnerships either with universities or other digital platforms. Then life knocked on the door, and messed up with the plan. I was offered a COO gig with the China Australia Millennial Project, then a seat on the THNK School of Creative leadership, then a job as editor in chief with the Global Challenges Foundation. My skills, my interests and my perspective evolved, impacting both the PhD research proper, and the motivation for it.
I decided to stick with it though. This was my second PhD. I enrolled in one from 2003 to 2008, at Paris Sorbonne University, exploring collective nouns in contemporary English. I was on scholarship, and expectations were that I would get a role at a French University right after finishing – although life came knocking when I met my Australian partner in 2006, and messed up with the plan. Still, I completed my thesis. I was due to defend in early September 2008, a few weeks before leaving Paris for good. The research was ‘stimulating and original’, yet two of my assessors had found that the thesis fell outside of disciplinary boundaries. My supervisor had been aware of issues, I learned later, and conducted backdoor negotiations, but would not force things. Bad reports would stand in the way of any future academic career. There was an option to stay in France for another year, rewrite, and try again. I had planned a move Down Under, and wanted a fresh start, so I let it go.
It left me with a sense of caution regarding universities, and PhDs, but also with the sense of something unfinished. When I decided to try again at Monash, on the very first conversation with my prospective supervisor, I shared the story of this debacle. I was also very clear that I did not want to work in academia, but was genuinely committed to the sharing of knowledge. Gloria was wonderful, and fully on board. I knew better what to do this time – and was more closely guided – so, despite occasional bouts of ‘I should quit’, I completed the second PhD, through the pandemic.
Why did I bother? Sure, there is a title, photos with a floppy hat, and the job done. But I also did learn certain things that – maybe – only doctors know. Reflecting on that question, it strikes me that we put so much focus on the product, the thesis, and forget about the person. It’s not just about having a PhD, but becoming a Doctor. So, what have I learned by becoming one? And how is that valuable? Since the purpose of a PhD is to articulate original knowledge, I think I did learn something about knowledge – and originality. In a knowledge economy, this is probably valuable. But let me dig deeper.
We know less than we think
Education is always about confronting one’s own ignorance. Writing a PhD means confronting collective ignorance. I realized this most clearly when I tried to answer a seemingly simple question: how many people are currently learning Chinese around the globe? I had always assumed that we – somebody, somewhere – knew the answer, and everybody could get that answer if we – myself, anybody keen to find out – simply knew where to look. I had also assumed my supervisors, experts in the field, could direct me to the right source. No such luck. All sorts of figures floated around the Internet – 40 million learners now, 100 million soon, typically. But when I tried to confirm those numbers, the tracks lost themselves after some late 2000’s newspaper article from Canada, or a vague unsourced mention of ‘Hanban’.
I once wrote, in a moment of annoyance, that much of academic writing is not original thought, but platitudes with footnotes. I have come to appreciate the value of footnotes. At least, you can check where ‘facts’ come from. If a statement is not congruent with the source, you have grounds to start doubting the author. It takes effort, sure, but ensuring that facts and assertions at least can be verified is some protection against fraud. It also keeps in check the drive to cut corners and put forward unverified assertions in order to make a point.
Now, I have also learned to be cautious of footnotes. Not everyone follows the rules in spirit. When trying to figure out how many people are learning Chinese, I found an article – somewhat by chance – by Professor Hyeon-Seok Kang, called ‘Is English being challenged by Mandarin in South Korea? A report on recent educational and social trends involving the two languages’ (published 2017). The paper had a reference to ‘Lei & Cheng, 2010’, stating that there were 40 million Chinese learners around the world in 2010. Curious, I went to check that Lei & Cheng source. It was not, as I naively hoped, a solid survey from a pair of serious researchers from a serious university, but an article from China Daily online, attributing this figure to Hanban, with no source. Innocent overlook, or underhanded rebrand of hearsay? We shall never know.
When I look back, I think: of course, nobody knows how many people are learning Chinese. It’s incredibly difficult to assess. For one, what do we mean by ‘learn Chinese’? Is it anybody enrolled in any language class? Of any age? And for how long? Plus, how do you aggregate figures from around the world? How do you keep the numbers up to date? At best, we might have educated guesses (which I attempted – my rounded estimate is 6 – 17 million).
Yet before the PhD, I had an illusion that there was knowledge – illusion fed by the Internet, where figures were quoted in apparent confidence. On this point, and on many others, I was convinced that someone, somewhere, must know the facts, and the truth. This is a dangerous illusion, which I am now less likely to fall prey to.
So, learning #1: we know less than we think. If I don’t know, maybe nobody does. And if you’re ever doubtful, check the source.
It takes effort to build knowledge
Ignorance is uncomfortable. It brings feelings of shame, and anxiety. Research demands courage: willingness to face the chaos of radical uncertainty, and associated social ambiguity. It also demands endurance. Contemplatives are at risk of sloth – acedia, the noon-day demon of depressed procrastination. ‘Just write’ said my supervisor. I did, mostly. It was not my first rodeo, I wrote four novels (one published), and one thesis before. I have also written and edited hundreds of shorter texts. From experience, though, I know there’s a big difference between a 1000-word essay or short-story, and an 80,000-word document. A PhD thesis is not something you can physically complete in a burst of inspiration, or over a couple of late evenings. It is mainly perspiration, and you cannot afford to burn out.
Yet there is something about completing a PhD that differs from other long-form writing – say, novels. It’s not just about endurance, but patience. You must accept others’ unbearable slowness. Academic degrees up to Master’s level have skills and knowledge assessed by people who know more than the student. As a Doctor, author of original knowledge, you are by definition the world’s foremost expert in your topic. Meaning, you’re assessed by people who know less than you. Not in absolute, just on your topic. Still, this marks a step-change, directly related to my first insight, that we know less than we think.
So, learning #2: a doctor has shown capacity to present original knowledge to the next most knowledgeable audience, and convince them to reorganize their understanding of the world on the basis of that presentation. Doctors reduce ignorance, absolutely.
Knowledge does not exist in a void
New knowledge is not another brick in the wall. When I was a teacher, I used the following mental model: that my students already know everything. Except, that knowledge is vague, and mainly incorrect. Early in my candidature, I remember identifying the KPI for a successful thesis as: it will prompt readers to reshuffle their mental library. Incidentally, this is the purpose of the literature review – a section that gives a brief overview of relevant writing on the topic. It’s a trust building exercise, demonstrating homework done. It’s also there to assist the reader in this mental reorganisation: help them identify where to place the thesis and its original insights.
This was a piece I had to do right. My first attempt at a PhD failed for overstepping disciplinary boundaries. Academic disciplines are branches of knowledge: conventional ways of describing an aspect of the world, what counts as a fact, and how to gather valid data. They’re also social constructs – people working in different buildings, reading different books, and writing in different journals, with different funding streams and criteria. I’ve come to think of it like sports. Each discipline has its own rules, its own league, and its own champions. Sure, you won’t get anywhere unless you’re generally fit and coordinated, but it’s not the same skills, or body types, or attributes, that make for success. So, each discipline gathers different types of people, who have spent years honing a very narrow set of skills.
When you start a PhD, you can choose to play by the rules. Pick your sport, find a good coach, train hard, and if you’re good enough, with a bit of luck, you’ll make it to the league – i.e. tenure at a university. That’s disciplinary research. There’s another approach though, which is about figuring out what discipline – what methods and models – will be most useful to better understand a part of the world, or solve a complex problem. In academic jargon, that’s ‘transdiciplinarity’. It’s not a good bet for a research career, but if done well, it’s useful ‘out there’. It’s also what my research does. It tries to make sense of ‘what’s happening’ in that part of the digital world where people learn Chinese – what that part of the digital world looks like, who’s creating and maintaining it, and what we could do to make it work better. It’s about tech and education. It’s about digital communities, startups, and geopolitics. It’s looking at companies and people, websites, apps, and social media streams, and how all those pieces combine. It’s about what is there, measured against what was, and what could be.
Now, a PhD – whether ‘trans’ or not – goes beyond insights and good ideas. It is a question asked well, and a detailed protocol to reach an answer, with a lot of referencing in the middle. It involves not only reading piles of books and papers, but also gathering ‘data’ from the world, then analyzing it, in line with a defined method. Each discipline has its own key concepts, methods and benchmarks. Each sees ‘the world’ differently, and gathers different data. In my case – in ‘trans’ research – part of the work is precisely figuring out what to do. There was no ‘state of the field’ I could question or build on, nor a clear method to follow. So, there were wrong starts and double-ups. I observed, I interviewed, I reflected, I read. Methods attempted yielded insights which suggested other methods. Not all the data was entirely consistent. And there certainly wasn’t a neat linear process, following a clear-cut hypothesis-method-gathering-analysis-conclusion sequence. Describing this was embarrassing: it was not grand, and it was certainly not clean. Yet – and here I was very well guided – I had to be precise. ‘What did you do? Just write that’. I interviewed people. ‘How many? Where? For how long? Why them?’ I spent a few hours using a range of apps, read through the ‘how-to’ guide, and associated social-media feeds. ‘Which apps? Why those?’ I unlearned habits developed at innovation events – always present your best angle – and listed exactly what went into the sausage. I was terrified it would cause horror. It didn’t, and I strengthened my honest muscle in the process.
The final layer of work was to put the research into words: order the argument into chapters, and make sure all key terms were rigorously defined and consistent. In early drafts, I used ‘agent’ and ‘actor’ indifferently. Surely, the reader could figure it out? It was a firm ‘no’. Different disciplines use different words – or worse, the same word with a different meaning. I should not leave ambiguities, and always make it easy for the reader to ‘get it’. The same ethical drive towards maximal comprehension impose the drudge of formatting standards. You’re asking people to change their habits of thoughts, by reading a very long, very detailed argument – so please, be consistent with your style at least. Common courtesy, really.
So, learning #3: the reader is not you. If they miss the point, don’t blame them, write better. Leadership 101.
This process, of course, is extremely slow. It is made even slower by the machine, the very bureaucratic university with its many dysfunctions, ‘tick-the-box’ exercises and arbitrary deadlines. Waste of time? Well, a friend once put it this way: ‘creating a new product and selling it on the market, that’s easy. We all have desires and too much money to spend. But having one person really see the world differently, and change their minds, now that’s hard.’ I’m not one to praise impatience, and even – not always, but sometimes – found freedom in the deliberate slowness imposed by academic procedures. I rediscovered the world of otium, open intellectual leisure, that I first encountered in Year 12 philosophy. Here was a space where I could be free from the dominant logic of business. I would get no reward for ‘saving cost’ or ‘bringing revenue’. Quality standards were non-negotiable. This caused frustration, yes, but also protected my freedom to think, and for this, I am very grateful.
When I was close to completing, and at peak frustration, I described the PhD process as a deliberate exercise in humiliation. In retrospect, I think I was onto something. There is no good research without radical humility: that we know so little, that knowing is exhausting, that others resist correct knowledge. In the words of Pascal, that truth has no force of its own. Yet on the other end of humility comes deep self-confidence. With courage, and efforts, and discipline, I have touched on a solid kernel of correct knowledge. Others have seen and recognised it. So, whatever comes next, I’m probably not up to the task, but I might well be just as good as it gets. And that’s a doctor for you.