Science, culture, complexity

Tag: knowledge production

  • Should journos pay scientists for their expertise?

    I recently came across a question posed on Twitter, asking if experts whom journalists consult to write articles should be compensated for their labour, especially since, in the tweeter’s words, “it’s quite a bit of effort”. The tweeter clarified their position further in some of the conversations that sprang up in response. I felt compelled to have a go at a reply, so here goes.

    To begin with, it’d be worth splitting the answer according to the size of the publication that is expected to pay this fee.

    Smaller v. larger organisations

    Based on my experience at The Wire, I don’t believe experts can be paid for their labour as long as 1) the newsroom covers the news through news reports, and is therefore required to maintain a certain minimum scale of operations, instead of sticking to publishing analyses and features; 2) the labour is to clarify a concept, an idea, a point, whatever or is to supply comments; and 3) the money goes straight from readers’ pockets to the pockets of reporters, editors and freelancers in quantities that would mean the journalists are paid competitively.

    We could expand (3) to include erecting soft/hard paywalls, organising ticketed events, raising funds for predefined reporting campaigns, publishing sponsored content, etc., but a) doing any of these things tends to break the economics of scale at which a small newsroom (that covers the news) can operate in India; b) paywalls work well either for large organisations or for organisations that occupy a specific niche, and less so for any other kind of organisation; c) it’s hard to find additional revenue streams that don’t compromise editorial independence in the absolute sense; and d) income security becomes iffy if the organisation is registered as a nonprofit (for-profit outfits, of course, will have to deal with investor pressure, including on editorial decisions).

    Taken together, smaller organisations don’t have the liberty of considering the principles because they need to figure out much more germane issues first. Larger organisations could on the other hand make it work – but should they? Let’s consider the principles in a specific scenario, the only one with which I’m any kind of familiar.

    Science journalism: Principles

    How do we determine the value of labour? Does all labour need to be paid for? Is money the sole acceptable form of value? A lot of labour certainly needs to be paid for but which and to what extent depends on the context in which it operates.

    A couple years ago, a physicist asked me to contribute regularly to a good but not quite popular physics magazine after reading some of my blog posts. I said I would love to but that I was constrained severely by time. However, I added, whenever I do write, I would like to waive my fee. The physicist was quick to reply that I shouldn’t have expected to be paid because if magazines like the one she was part of had any chance of becoming more popular (this one deserved to be), it couldn’t afford to pay all writers until it became wealthier.

    The physicist and I spoke for half a day and at no point did I get the impression that she was taking my work for granted; in fact, it was clear she placed a flattering amount of value on it. Her point was instead centred on the notion of service, and I agreed fully. When I ask scientists to help me understand a concept or to comment on a study after reading a highly technical paper, I don’t take them or their expertise for granted, but when I refuse to pay them for it (although none have asked thus far), it is because a) I simply can’t: science journalism just doesn’t make much money; and b) I don’t expect but will sincerely appreciate a measure of service-mindedness.

    A metaphor that another scientist used comes to mind: first, we need to haul the big rock out of the ditch in which it is stuck; once it is out, we can figure out how to roll it around in different directions. Service is a form of value also – and right now science journalism in India needs both money and service. Money alone won’t fix it. And I take neither for granted as much as I emphasise the difference between expectation and requirement.

    When I edited The Wire Science, I informed prospective writers beforehand of how much I could afford to pay and I didn’t force them to accept it. Similarly, a scientist is free to decline writing or commenting requests. But for the nascent stage in which science journalism in India is today, paying scientists for help making sense of an idea or to comment on a paper is a bridge too far.

    Science journalism: Mechanics

    So much for the principles; now to the mechanics. My friend M.J. had this to say:

    “How do you decide who is an expert? You have a science degree and you are an expert, so you need to be paid. But what about a farmer with 40 years of agricultural experience? Does this mean we conclude that we pay everyone? Business-wise this is impossible in journalism.”

    In continuation: What is expertise? Is an opinion on a research paper an expression of one’s expertise and thus to be paid for? On the one hand, we have things like open access in science, but if on the other I had to pay scientists for expressions of their expertise, science journalism will be buried alive, in much the same way subscription journals have threatened the integrity and relevance of science.

    In fact, the truths, especially the social truths that are distinct from scientific truths, are things that experts and journalists must construct together, instead of – cynically – the task being left to journalists and journalists being expected to pay the experts. M.J. again:

    Incentives would disrupt the very foundation of the journalist-source relationship, which is based on trust and a shared commitment to communicate a story. If you were to pay someone, would they speak their mind or would they tell you what you want to hear? That is, will they be objective?

    Say it’s not for a quote but to clarify a concept or certain technicalities. Many things in science are objective but many other things aren’t – such as the lab-leak theory of the origin of the novel coronavirus.


    Many more arguments wait in the wings – but they will all be fairly pointless because journalism at large is too far from perfect to ask what journalism can do for you instead of… you get the drift. Again, I take neither experts nor expertise for granted. I just deeply doubt journalism’s ability to simultaneously fulfil its own purpose, be gainful for its practitioners and reward expertise and its proper expression at this time, in this country.

    Finally, the original question may highlight the danger of principles that are isolated from material considerations, contrary to our popular experience of journalism in practice deviating from its foundational principles.

    The idea that all labour must be paid for has been engendered by a culture that seldom pays, or pays enough – a culture fond of exploitation, of corporatisation, contractualisation and commodification. Journalism-in-practice, rather than the newsroom in which it happens, isn’t a part of that culture; understanding it to be is what flattens public service in the specific cases where that is applicable and where it is voluntarily on offer into the lower-dimensional notion of exploitation. If an expert feels exploited by a journalist interacting with them, money isn’t going to fix it. Instead, as M.J. said:

    What would be more ideal is, say, if a news organisation knows it needs technical inputs for science or health reporting, then it should have someone on contract, on a consulting basis. This is apart from its sources. And it can use these contracted individuals’ help to understand some technicalities and also for fact-checking.

    Does this narrative hold beyond science journalism? 🤷🏾‍♂️.

  • The identity of scientific papers

    This prompt arose in response to Stuart Ritchie’s response to a suggestion in an editorial “first published last year but currently getting some attention on Twitter” – that scientists should write their scientific papers as if they were telling a story, with a beginning, middle and end. The act of storytelling produces something entertaining by definition, but it isn’t the same as when people build stories around what they know. That is, people build stories around what they know but that knowledge, when it is first produced, isn’t and in fact can’t be reliably produced through acts of storytelling. This is Ritchie’s point, and it’s clearly true. As Ash Jogalekar commented on Twitter on Ritchie’s post

    (This is different from saying scientific knowledge shouldn’t be associated with stories – or that only it should be, a preference that philosopher of science Robert P. Crease calls “scientific gaslighting”.)

    Ritchie’s objection arises from a problematic recommendation in the 2021 editorial, that when writing their papers, scientists present the “take-home messages” first, then “select” the methods and results that produced those messages, and then conclude with an introduction-discussion hybrid. To Ritchie, scientists don’t face much resistance, as they’re writing their papers, other than their own integrity that keeps them from cherry-picking from their data to support predetermined conclusions. This is perfectly reasonable, especially considering the absence of such resistance manifested in science’s sensational replication crisis.

    But are scientific papers congruent with science itself?

    The 2021 editorial’s authors don’t do themselves any favours in their piece, writing:

    “The scientific story has a beginning, a middle, and an end. These three components can, and should, map onto the typical IMRaD structure. However, as editors we see many manuscripts that follow the IMRaD structure but do not tell a good scientific story, even when the underlying data clearly can provide one. For example, many studies present the findings without any synthesis or an effort to place them into a wider context. This limits the reader’s ability to gain knowledge and understanding, hence reducing the papers impact.”

    Encouraging scientists to do such things as build tension and release it with a punchline, say, could be a recipe for disaster. The case of Brian Wansink in fact fits Ritchie’s concerns to a T. In the most common mode of scientific publishing today, narrative control is expected to lie beyond scientists – and (coming from a science journalist) lies with science journalists. Or at least: the opportunities to shape science-related narratives are available in large quantities to us.

    A charitable interpretation of the editorial is that its authors would like scientists to take a step that they believe to be marginal (“right there,” as they say) in terms of the papers’ narratives but which has extraordinary benefits – but I’m disinclined. Their words hew frustratingly but unsurprisingly close to suggesting that scientists’ work isn’t properly represented in the public imagination. The most common suggestions I’ve encountered in my experience are that science journalists don’t amplify the “right” points and that they dwell on otherwise trivial shortcomings. The criticisms generally disregard the socio-political context in which science operates and to which journalists are required to be attuned.

    This said, and as Ritchie also admits, the scientific paper itself is not science – so why can’t it be repurposed to ends that scientists are better off meeting than one that’s widely misguided? Ritchie writes:

    “Science isn’t a story – and it isn’t even a scientific paper. The mere act of squeezing a complex process into a few thousand words … is itself a distortion of reality. Every time scientists make a decision about “framing” or “emphasis” or “take-home messages”, they risk distorting reality even further, chipping away at the reliability of what they’re reporting. We all know that many science news articles and science books are over-simplified, poorly-framed, and dumbed-down. Why push scientific papers in the same direction?”

    That is, are scientific papers the site of knowledge production? With the advent of preprint papers, research preregistration and open-data and data-sharing protocols, many papers of today are radically different from those a decade or two ago. Especially online, and on the pages of more progressive journals like eLife, papers are accompanied by peer-reviewers’ comments, links to the raw data (code as well as multimedia), ways to contact the authors, a comments section, a ready-reference list of cited papers, and links to other articles that have linked to it. Sometimes some papers deemed to be more notable by a journal’s editors are also published together with commentary by an independent scientist on the papers’ implications for the relevant fields.

    Scientific papers may have originated as, and for a long time have been, the ‘first expression’ of a research group’s labour to produce knowledge, and thus perfectly subject to Ritchie’s concerns about transforming them to be more engaging. But today, given the opportunities that are available in some pockets of research assessment and publishing, they’re undeniably the sites of knowledge consumption – and in effect the ‘first expression’ of researchers’ attempts to communicate with other scientists as well as, in many cases, the public at large.

    It’s then effectively down to science journalists, and the resistance offered by their integrity to report on papers responsibly – although even then we should beware the “seduction of storytelling”.

    I think the 2021 editorial is targetting the ‘site of knowledge consumption’ identity of the contemporaneous scientific paper, and offers ways to engage its audience better. But when the point is to improve it, why continue to work with, in Ritchie’s and the editorial’s words, a “journal-imposed word count” and structure?

    A halfway point between the editorial’s recommendations and Ritchie’s objections (in his post, but more in line with his other view that we should do away with scientific papers altogether) is to publish the products of scientific labour taking full advantage of what today’s information and communication technologies allow: without a paper per se but a concise description of the methods and the findings, an explicitly labeled commentary by the researchers, the raw code, multimedia elements with tools to analyse them in real-time, replication studies, even honest (and therefore admirable) retraction reports if they’re warranted. The commentary can, in the words of the editorial, have “a beginning, a middle and an end”; and in this milieu, in the company of various other knowledge ‘blobs’, readers – including independent scientists – should be able to tell straightforwardly if the narrative fits the raw data on offer.

    All this said, I must add that what I have set out here are far from where reality is at the moment; in Ritchie’s words,

    “Although those of us … who’ve been immersed in this stuff for years might think it’s a bit passé to keep going on about “HARKing” and “researcher degrees of freedom” and “p-hacking” and “publication bias” and “publish-or-perish” and all the rest, the word still hasn’t gotten out to many scientists. At best, they’re vaguely aware that these problems can ruin their research, but don’t take them anywhere near seriously enough.”

    I don’t think scientific papers are co-identifiable with science itself, or they certainly needn’t be. The latter is concerned with reliably producing knowledge of increasingly higher quality while the former explains what the researchers did, why, when and how. Their goals are different, and there’s no reason the faults of one should hold the other back. However, a research communication effort that has completely and perfectly transitioned to embodying the identity of the modern research paper (an anachronism) as the site of, among other things, knowledge consumption is a long way away – but it helps to bear it in mind, to talk about it and to improve it.

  • Scicommers as knowledge producers

    Reading the latest edition of Raghavendra Gadagkar’s column in The Wire Science, ‘More Fun Than Fun’, about how scientists should become communicators and communicators should be treated as knowledge-producers, I began wondering if the knowledge produced by the latter is in fact not the same knowledge but something entirely new. The idea that communicators simply make the scientists’ Promethean fire more palatable to a wider audience has led, among other things, to a belief widespread among scientists that science communicators are adjacent to science and aren’t part of the enterprise producing ‘scientific knowledge’ itself. And this perceived adjacency often belittles communicators by trivialising the work that they do and hiding the knowledge that only they produce.

    Explanatory writing that “enters into the mental world of uninitiated readers and helps them understand complex scientific concepts”, to use Gadagkar’s words, takes copious and focused work. (And if it doesn’t result in papers, citations and h-indices, just as well: no one should become trapped in bibliometrics the way so many scientists have.) In fact, describing the work of communicators in this way dismisses a specific kind of proof of work that is present in the final product – in much the same way scientists’ proofs of work are implicit in new solutions to old problems, development of new technologies, etc. The knowledge that people writing about science for a wider audience produce is, in my view, entirely distinct, even if the nature of the task at hand is explanatory.

    In his article, Gadagkar writes:

    Science writers should do more than just reporting, more than translating the gibberish of scientists into English or whatever language they may choose to write in. … Science writers are in a much better position to make lateral comparisons, understand the process of science, and detect possible biases and conflicts of interest, something that scientists, being insiders, cannot do very well. So rather than just expect them to clean up our messy prose, we should elevate science writers to the role of knowledge producers.

    My point is about knowledge arising from a more limited enterprise – i.e. explanation – but which I think can be generalised to all of journalism as well (and to other expository enterprises). And in making this point, I hope my two-pronged deviation from Gadagkar’s view is clear. First, science journalists should be treated as knowledge producers, but not in the limited confines of the scientific enterprise and certainly not just to expose biases; instead, communicators as knowledge producers exist in a wider arena – that of society, including its messy traditions and politics, itself. Here, knowledge is composed of much more than scientific facts. Second, science journalists are already knowledge producers, even when they’re ‘just’ “translating the gibberish of scientists”.

    Specifically, the knowledge that science journalists produce differs from the knowledge that scientists produce in at least two ways: it is accessible and it makes knowledge socially relevant. What scientists find is not what people know. Society broadly synthesises knowledge from information that it weights together with extra-scientific considerations, including biases like “which university is the scientist affiliated with” and concerns like “will the finding affect my quality of life”. Journalists are influential synthesisers who work with or around these and other psychosocial stressors to contextualise scientific findings, and thus science itself. Even when they write drab stories about obscure phenomena, they make an important choice: “this is what the reader gets to read, instead of something else”.

    These properties taken together encompass the journalist’s proof of work, which is knowledge accessible to a much larger audience. The scientific enterprise is not designed to produce this particular knowledge. Scientists may find that “leaves use chlorophyll to photosynthesise sunlight”; a skilled communicator will find that more people know this, know why it matters and know how they can put such knowledge to use, thus fostering a more empowered society. And the latter is entirely new knowledge – akin to an emergent object that is greater than the sum of its scientific bits.