UN Science Summit speech
This is the text of my talk at the Science Summit at the 81st United Nations General Assembly in the session “Collective Intelligence in Action” convened by the LUMEN project on the 23rd of September 2026. It is as spoken, with the sources linked so you can follow them up.
So – hi, I’m Andrew Dubber. I have no slides. That is not an apology. But what it does mean is that I won’t be putting words on the screen when I’m quoting someone. But these are references worth following up so I have posted this talk on my blog at andrewdubber.com – and you can follow all the links there.
I’m a senior researcher at the Industry Commons Foundation and a professor in Innovation. I also host a podcast called Inside EOSC for the LUMEN project, and once a month I sit down with someone who is building the European Open Science Cloud, Europe’s shared environment for research data and services, and ask them what they’re actually doing and what that means.
In an episode from earlier this year I asked Klaus Tochtermann, the President of the EOSC Association, what he thought sustainability meant in this context.
Here’s what he said:
“I’m not aware of any sustainable infrastructure which is financed based on projects. That doesn’t work. Because projects end. They start at some point in time, they end at some point in time, and then it’s unclear how to continue.”
You might be familiar with that problem.
Last week in Brussels, I was chairing a session at an Innovation Prototyping Lab that we run for the LUMEN project. Seventy people had registered to be there, ninety more online, representing thirty institutions in fifteen countries. The session was about the EOSC Innovation Centre, which is a project output I’m leading.
I had representatives of three of our research teams join me to discuss the tools they’ve spent the last couple of years building on the project, and I asked them three questions:
- What does this offer, and to whom?
- What does it need from the others?
- And who runs it after the project ends?
Some good answers, of course, and really impressive work right across the board. But the question of who owns the result once the project is over, nobody in the room could answer.
In preparation for this talk, I went back to our initial desk research and re-read over what’s actually been written about innovation in open science. A quick lit review: policy texts, the economics, the reports.
Here’s what I found.
The big headline is that nobody agrees what any of the actual words mean.
There was a systematic review in 2018 that concluded (and I quote) “there is a lack of awareness about what Open Science is, mainly due to the fact that there is no formal definition of Open Science.”
I have my own working definitions of open science and – for the purposes of this talk – open innovation. You probably have yours. Though there is one I think is a pretty good contender for a canonical entry.
In September 2024, the G20’s research ministers met in Manaus, in the Amazon, and wrote this down: open innovation is (again, quoting) “a distributed innovation process based on partnership, cooperation, and voluntary knowledge flow across organisational boundaries, on mutually agreed terms.”
Some key criteria there:
- A distributed process
- Partnership
- Knowledge across boundaries
- Mutually agreed terms
They also said why it matters, and this might be the most important bit: because – quote – “the asymmetries and inequalities in the access to and production of science, technology and innovation can hinder green, socially just, and sustainable development, in all countries, but in particular in developing countries.”
Nobody here is disputing that Openness works. We’ve had pretty overwhelming evidence of that part for some time.
In 2008 the US National Institutes of Health required that every paper it funded should be freely available. A couple of economists studied what happened. Patents went on to cite that research between twelve and twenty-seven percent more often, and of course, the papers those rules didn’t apply to saw no change at all.
Openness feeds innovation. QED. Bravo.
But it isn’t enough for value creation. Mario Draghi’s report on European competitiveness says that “only about a third of all the patented inventions registered by European universities or research institutions are commercially exploited.”
Sadly, that paper doesn’t also mention open science once in seventy-three pages, which seems a shame, because a comparison would be useful.
But the Commission’s own expert group on research infrastructures said in 2020 that their innovation impact is “only very partially reflected” in anything you can actually count, because (and here’s the bit I want you to focus on) “no uniform methodology is in place.” The people who fund this work don’t know what happens to it, and nor do they seem to know the best way to ensure that results create ongoing value. Not just economic value, but including economic value.
So I thought I’d do my own little analysis. I went to CORDIS, the official register of Horizon 2020 projects, took a random sample of 400 projects that ended between 2018 and 2021, and I just visited their websites.
A third of them no longer exist. Now, of course, a website is not a result, and some of that work will have moved somewhere or found a new name. Equally, you can have a perfectly good website for a project that is effectively lying in state. But for our purposes here, the web address is the one that the funder was given, and it’s gone. So, not a measurement, perhaps, but at least an indicator.
I also want to mention this: Six years ago Michela Magas and I wrote a study for the EOSC Secretariat on bringing the wider public and private sectors into EOSC. We interviewed forty-six people: industry leaders, open innovation experts, citizen scientists, clinicians. More than half had never heard of the European Open Science Cloud. And every single one of them, once we explained it, could name what it would do for their work. Every one.
In that study, Expanding EOSC, we paired FAIR data, findable, accessible, interoperable, reusable, which is about the technologies, with what we called JUST data, judicious, unbiased, safe and transparent, which is about the practices of people around it and how a researcher, data owner, data manager can behave responsibly with data using annotation in a living document associated with a research dataset.
Every stakeholder we interviewed welcomed it, and we’ve folded it into the LUMEN project as well as the plans for the EOSC Innovation Centre.
2020: Judicious, unbiased, safe, transparent. Fast forward through the pandemic and global events, and you may have noticed that Europe’s discourse has shifted somewhat since then. Arguably, we live in a somewhat more defensive and less – shall we say – generous socio-political world than we did until quite recently.
The EOSC Association’s own position paper just this May calls the federation “essential to securing European sovereignty over its research data.” Fine. I can work with that vocabulary even if I can’t fully get on board with the militaristic tone.
But EOSC’s 2024 strategic agenda has a sentence on what projects produce that I think we have to problematise somewhat.
It says “it will be important that retention of results is with EOSC itself.”
That word again: Retention.
I’m reminded of the council’s plans to build a bypass, described in the Douglas Adams book as being “on display, in the bottom of a locked filing cabinet stuck in a disused lavatory with a sign on the door saying Beware of the Leopard.”
Look, I understand the impulse, I very much understand the importance of sovereignty, and I don’t think the people who wrote it actually meant that particular filing cabinet array.
But retention is only meaningful if someone has access, they are actually using, supporting and carrying the result, and that it is enabled to create value.
Last week in Brussels I called out the risk I see here: that once a place to retain results exists, a project can just point to it and say “job done”. Exploitation handled. A life beyond the project without actually having to give it life. I called it the repository trap. My (possibly biased) perception was that the room largely agreed with me, then we talked about what we could do instead, which is just another very good reason to put a bunch of smart people in a room together.
Now, I want to flag up one article I found in my review that’s influenced how I think about our work. In 2011, two economists, Jeffrey Furman and Scott Stern, asked what turns a discovery into the next discovery. They studied the resource centres that certify a biological sample and hand it on, and they found that “effective institutions amplify the cumulative impact of individual scientific discoveries.” Not openness by itself. An institution, in the economist’s sense: not an organisation or a large building, but a durable arrangement for cooperation and co-creation.
So the answer I take from the literature is not “be more open”. It’s “build the arrangement that converts openness into collaborative use and value.”
And economists have a name for where that arrangement starts. Fellow New Zealander Jason Potts calls it the innovation commons. At the beginning of anything new, when nobody knows what it’s worth, the efficient way to organise is often not a firm and not a market. It’s co-creation. A common pool: a group of people who share what they know before anyone knows what it is worth. Innovation begins in the commons. And there’s some great work going on here in Sweden right now about the Innovation Commons and addressing the problem of ‘projectification’. Michela would be a fantastic person to talk to about that, incidentally, if you’re interested.
But that connects very nicely to the foundation we run that’s built on exactly that premise. The Industry Commons Foundation grew out of MTF Labs, a community of nine thousand scientists, artists, engineers and industry people that’s run twenty-seven international labs since 2012. The core idea underneath has a direct line to Innovation Commons: the results, relationships, communities and infrastructure a project produces, governed as a commons rather than abandoned when the grant ends, with a methodology to scale innovation beyond its starting point – and we’ve also written quite extensively on this last part. Ask me or especially Michela about the concatenation of funding instruments some time.
But this is also what the LUMEN Key Exploitable Result (or actually, Meta-KER, as we describe it), the EOSC Innovation Centre, is for. It’s not a building or a new organisation; nobody needs another one of those. It’s a distributed programme of living labs, built on a shared method, where communities come together to collectively test and adapt results from perhaps several research projects at once and work out the arrangements for their continuing use: who takes responsibility, what support is needed, and how the commitments made in the room are followed up. Hybrid innovation by crossing the streams between project results. Michela talked earlier of a Large Intelligence Collider. The people in the room are scientists and researchers from different disciplines. They are at different career stages. They’re also innovators and makers. People from industry. From public institutions. Policymakers. Artists. People from local affected communities.
It’s hands-on collaborative prototyping with people who would ordinarily have no reason to be in a room together, bringing a range of perspectives to the same problem to find value and ongoing use for Open Science results. The sorts of results that come out of an EOSC-funded research project.
Those arrangements are still being worked out; that’s what we mean when we say we’re prototyping the methodology. We run the labs as a series, because one Innovation Prototyping Lab is a data point towards an EOSC Innovation Centre, but it needs a trajectory: Zagreb last October, Brussels last week, Paris next spring, when the third lab runs as a dress rehearsal for the Centre itself.
And we’re writing down and adapting the method as we go, every suggestion logged so its author can see where it went, so that any community anywhere can run a lab of its own without an institutional patron – and feed back into the methodology. A living lab with a living document as its instruction manual.
One thing that happened in Brussels demonstrates this method nicely. One team said, quite openly, that the tools underneath what they were doing tend to work best in English. Their example was an entity-linking semantic tool that recognised “Africa” in an English document and completely missed it in a French one. Same entity, same tool, different language.
Now, I made the point that these days, with the AI tools we have, translation isn’t even the hard part, support is.
Who helps a user troubleshoot when they send in their questions in French or another language? The presenter said it was early days and that part hadn’t really kicked in yet, but then turned that into an opportunity: local cultural centres running discovery platforms in their own languages. By Thursday evening, the Innovation Centre playbook carried a draft instruction. Before the lab, name the languages you’ll work in. Name who supports each one. Open a route for feedback. A question asked in a room at one lab became a bit of guidance that another organiser can follow for the next.
And as I mentioned, who is in the room matters as much as the method. Michela spoke earlier about co-creation and the special issue of the CERN Journal we co-edited. But some co-creation is more equal than others.
The best study I know of how Open Science can sometimes widen inequality rather than close it, published in Royal Society Open Science in 2022, names “crucial asymmetries in the Open Science relationships with industry and the public, which privileges the former and fails to fully include the latter.” One of its authors is Nicki Lisa Cole of the Know-Center in Graz – one of our LUMEN partners, and quite rightly our work package leader. Next year she’s going to be running the first local instance of the EOSC Innovation Centre as a living lab. I can’t think of a better person to test whether the environment we’ve designed includes the people it claims to. And I can’t wait to see how the methodology evolves iteratively after it plays out in real time under her guidance.
Which brings me back to Manaus. Remember the criteria of the G20 research ministers:
- A distributed process: labs anywhere, on a shared method.
- Partnership: builders and users at the same table.
- Knowledge across boundaries: a seismic dataset from earth science finding a wave model in mathematics, which actually happened in Brussels last week.
- And mutually agreed terms, the part still being written.
Work in progress. We have 15 months of this particular funded project left to build something that will last beyond it, and help other open science results do the same.
To be clear: Open Science, as I understand it, has built an effective sharing layer. The use layer is a different problem, and it’s mostly a people problem, which – as Suzanne said in her Inside EOSC podcast interview – is always much harder to solve. My paraphrase: Technology is easy. People are a challenge.
So here’s the invitation. If you’ve got a community with a real challenge, and research results that ought to reach it, or you’ve got scientific research results that deserve a life beyond journal publication, then get in touch with any of us in the LUMEN project. Tell us about the research and what the outcome addresses, the community and who might be able to help organise the work.
Better still, come and get involved with our next Innovation Prototyping Lab in Paris in the Springtime – what could be more delightful?
Klaus Tochtermann was right. Open Science projects are great, but they do come to an end. The question is who or what can keep them alive afterwards, and what shape might that life take. I’d be very happy to work on finding some of the answers with you.
Thanks very much for listening.
Sources, in order of appearance: Inside EOSC (LUMEN), Vicente-Saez and Martinez-Fuentes, 2018, G20 Manaus Declaration, 2024, Bryan and Ozcan, 2021, Draghi, 2024, EC High-Level Expert Group on research infrastructures, 2020, CORDIS, Magas and Dubber, Expanding EOSC, 2020, JUST Data white paper, 2025, EOSC Association position paper, May 2026, EOSC SRIA 1.3, 2024, Furman and Stern, 2011, Potts, 2018, CIJ special issue on co-creation, 2026, Ross-Hellauer, Reichmann, Cole, Fessl, Klebel and Pontika, 2022.

