One thing that keeps coming back in everything I’ve read: intuition is like information reduction, basically. We have it for a reason: we need to function in this world. And having this one rule of thumb is helping you make fast decisions, and it’s usually almost as accurate, or even more accurate, than if we’re trying to rationally come up with the answer.

Cognitive surrenderA paper that came out this year asked: if you’re working with AI a lot, and you’re using it as a machine to answer all of your questions, what happens with System 1 and System 2?

Jonathan Haidt takes it even further. His paper is called “The Emotional Dog and Its Rational Tail.” If you look at a dog, you think the tail is making a movement. But is the tail actually making the movement, or is the dog wiggling and is the tail just going along? He says we essentially only have System 1. We make our moral choices from our guts, and then we just use System 2 to defend the thing we already decided. There’s been discussion about whether that’s entirely true. There’s no right or wrong, I guess, because we don’t really know exactly what intuition is. But I think it’s a very nice perspective on how our intuition might be more important than we often think it is.

Most of you are probably familiar with Thinking, Fast and Slow by Daniel Kahneman. System 1 is your gut feeling, your intuition. Very fast, but also makes mistakes. System 2 is the rational system where you weigh your options and see what’s best. It’s usually explained as: this one is fast but makes mistakes, and then there’s the thinking. We put a lot of weight on that. We are thinking animals, that’s what differs us from the animals.

By doing that, by looking at one concept from different angles, suddenly the map of content doesn’t stay flat anymore. It becomes kind of round. You’re able to look at it from different perspectives, different experiences, different domains.

But you can also look at a concept from different domains: what’s happening in the brain, for example, or how are you experiencing it yourself?

There’s also something called interoception: feeling the feeling of your own body.

This is my take, after reading a lot about it: if you act repeatedly on tacit knowledge and you get feedback while doing it, that tacit knowledge becomes intuition.

Visual knowledge works the same way. Close your eyes and think of Marilyn Monroe and Einstein. You can picture their faces, you know what they look like. But if you have to describe them to another person, suddenly that becomes very hard. That’s also knowledge that lives in this tacit field.

In between sits what Michael Polanyi called tacit knowledge. Think of playing the piano. You’ve practiced a piece so many times that your fingers just go.

Our senses take in about 80,000 bits of information per second. We can only consciously process about 50 bits. So there is a lot more unconscious knowledge than there is conscious knowledge.

One word that comes back often is immediate: intuition is this thing that you immediately feel rather than think, rather than rationally explain

there’s no hard definition. I’ve been talking about this topic more and more over the past few months, and I noticed that people think very differently about this word. And I find that fascinating

Takeaways This list isn’t comprehensive. I’m still experimenting and would love to learn from your experiments as well.

9. Reflector This final role is different. Whereas the others took as the object of inquiry a particular work — e.g., a novel or a movie — this last one takes as the object your knowledge garden itself. That is, you point the LLM to a series of notes to analyze patterns over time and suggest improvements. Example: I fed all 52 weekly posts from my humanities crash course to Claude Code, and asked it to identify the various roles in which I used AI for learning throughout the year. Its answers — with some curation from me — are the roles you just read. Suggested prompt: Here are my notes from [X weeks/months] of reading on [TOPIC]. What patterns do you notice in what I pay attention to? What do I seem to find most interesting, and what do I seem to avoid or underweight?

8. Mapper This one’s a bit more esoteric. Some people — me included — are primarily visual: diagrams and drawings aid our understanding. Concept maps can be especially helpful. I’ve built an Agent Skill to allow LLMs like Claude draw concept maps. (Download it from Github.) Example: I used this mapping skill to generate a concept map of Virginia Woolf’s To the Lighthouse. It’s not especially insightful, but more of a proof point of using LLMs in a more visual modality. Suggested prompt: (Note: install my LLMapper Skill before issuing this prompt) Generate a concept map for [WORK] centered on the question: “How does the novel’s treatment of [THEME] illuminate [BROADER QUESTION]?”

7. Analyst This role will also help you appreciate a work from a different perspective. It’s easy: you ask for the LLM to apply a specific critical lens to a reading. Common lenses include Freudian, Marxist, feminist, Girardian, etc. Example: The same week I read Freud, my son and I watched Predator, the 1980s sci fi film starring Arnold Schwarzenegger. For fun, I asked ChatGPT to analyze the film through a Freudian lens. The result was both enlightening and hilarious. Suggested prompt: Apply a [Marxist / feminist / postcolonial / Jungian] reading to [WORK]. What does this lens reveal that a neutral summary would miss?

6. Adversary Here’s a fun role: asking for an LLM to push back on your position or steelman the opposing point of view. The idea is to expand your understanding by bringing your assumptions to the surface and challenging them. Example: After watching Modern Times, I asked ChatGPT to correct my understanding of the movie as a work of Marxist propaganda. The LLM convinced me that the film is in fact more of a humanist statement than a political one. As a result of this interaction, I changed my mind on Chaplin’s work. Suggested prompt: Here are my notes on [TOPIC]. Please help me see it through the lens of someone who might be sympathetic to [OPPOSING POSITION] without fully realizing it. What could I improve? Where is my argument weakest? [paste notes]

5. Recommender This is a useful role for deepening your understanding of a subject: asking for related works that reflect similar themes. It’s also a use case where I noticed considerable improvements in LLM performance over 2025. Example: Early in 2025, I read Confucius’s Analects. Perplexity was ahead in web-backed interactions at the time, so I asked it for a list of classic Chinese movies that reflected Confucian values. It responded with five suggestions, some of which it hallucinated. But one of them, Spring in a Small Town, was a bona fide classic — and I likely wouldn’t have learned of it without an LLM. (Later in the year, other chatbots gained this ability and hallucinations dropped across the board.) Suggested prompt: I just finished [WORK]. Recommend three films that explore similar themes or ideas. Prioritize films with strong critical reputations — I’d rather have one great recommendation than five mediocre ones.

4. Orienter This role is something of an inversion of the validator. Instead of asking for feedback on your notes after reading a text, here you ask the AI for guidance before reading. You’re looking for framing, historical context, high level outlines, etc. — ideally, without spoilers. Example: Before reading Nietzsche’s Beyond Good and Evil and Tolstoy’s The Death of Ivan Illych, I uploaded both books to NotebookLM, which created a podcast for me that explained their thematic contexts. Listening to this podcast in my daily walk helped me better understand the readings. Suggested prompt: I’m about to read [WORK] for the first time. Give me enough context to make sense of it — historical background, key arguments, things to watch for — but don’t spoil the experience of discovering it myself.

3. Connector Here’s yet another role you can easily do via chat: identifying thematic, philosophical, or narrative parallels between works. Note I wrote “works” — it’s fun and illuminating to ask for connections across media, genre, time, etc. Example: I watched Francis Ford Coppola’s The Conversation on the same week I read Oedipus Rex. For fun, I asked ChatGPT for possible parallels between the two works. Its reply was enlightening: it pointed out how the protagonists of both stories undertook an obsessive investigation that uncovered terrible knowledge. Suggested prompt: I’ve been reading [WORK A] and [WORK B]. What philosophical or thematic threads connect them? I’m looking for non-obvious resonances, not surface similarities.

2. Validator Another basic role for AI is validating your understanding. To do this, you ask it to review your notes for errors or gaps, do basic fact checking, or critique your reasoning. Again, you can do this via the chat interface, but I also experimented with passing my notes in Obsidian using the Copilot plugin and in Emacs using gptel. Example: After reading The Epic of Gilgamesh, I wrote a note in Obsidian summarizing its plot. When I asked ChatGPT to critique my summary, it pointed out that I’d given the central character a redemption arc that isn’t present in the text. I’m so accustomed to the standard hero’s journey, that I projected it onto the book — and an LLM helped me correct this ‘hallucination.’ Suggested prompt: Here are my notes on [WORK]. What important ideas did I miss or underemphasize? Don’t rewrite my notes — just flag the gaps.

1. Tutor The simplest role for AI is as a tutor. You ask it to explain a difficult concept, clarify a confusing passage, translate jargon, etc. I mostly did this via the standard chat UI (although I created a ChatGPT project to preserve context for the course.) Example: While reading Freud’s The Interpretation of Dreams, I came across three unfamiliar German terms: es, ich, and über-ich. ChatGPT helpfully explained these are more commonly known as id, ego, and superego — three terms I already understood. Suggested prompt: I just read [PASSAGE]. I understand [X] but I’m confused about [Y]. Can you explain [Y] in plain terms, without assuming I have background in [FIELD]?

It was a messy process. That’s what you do in a garden! And the outcome wasn’t an enthusiastic endorsement of AI. Instead, I landed at a map of roles and modalities for how AI can help at different points in the spectrum. Let’s look at nine of these roles.

Robots in the garden

I consider amanuensis to be the ideal role for AIs in your knowledge garden.

Some early modern scholars employed live-in secretaries to do various tasks for them: researching, indexing, archiving, retrieving, organizing, translating, summarizing, and running errands. While not as famous as their employers, these people were often seen more as collaborators than anonymous servants. They were called amanuenses

I get most value around the middle of the spectrum. There’s a historical precedent here.

When thinking about your relationship with AI in general, it helps to consider a spectrum. On one end, you reject the technology completely: you don’t want it anywhere near your notes. On the other end, the AI completely replaces you. Neither extreme is desirable, so most approaches fall somewhere on the spectrum.

AI — which is being explicitly framed as a prosthetic mind

if the point is creating a place for your first brain to work better, that raises an increasingly pressing question: what role should AI

A garden provides solace and recreation — the opposite of the anxiety that overhangs systems built as productivity hacks. My PKM system provides solace and recreation. So I call it my “knowledge garden,” riffing on the popular digital garden metaphor and Andy Matuschak’s evergreen notes, among others.

I approach my knowledge garden with Field Notes’s tagline in mind: “I’m not writing it down to remember it later, I’m writing it down to remember it now.” I don’t keep a PKM to remember things later, but because writing, structuring, and connecting ideas is how I think. That the words are there for recall later is a bonus, not the main attraction. Clearer thinking is the “gold,” the notes merely record it happened.

Finally, for many gardeners, the fruit is only part of their garden’s value. Gardening is pleasurable per se. It’s not something they do just because they want to eat. After tall, it’s cheaper and easier to go to the supermarket. Instead, they garden because they find it fulfilling.

Also, a garden’s structure can’t be rigidly top-down. While some structure is needed, the place’s form emerges over time as it meets real-world needs. Thinking about PKM as a productivity hack leads to overemphasizing upfront structures and workflows at the expense of the more patient approach required by organic processes.

There are different kinds of gardens for different purposes. Some are for pleasure, while others are for growing food. Some are industrial; others artisanal. What they all have in common: things grow there. And it doesn’t happen overnight, but after much toil in the soil. For a garden to fulfill its purpose — whatever it might be — it must be stewarded over a long time.

more fruitful metaphor for PKMs is that of a garden. Many of us already talk about our PKM systems as “places” where we do focused work

Metaphors We Live By, Lakoff and Johnson explain that metaphors don’t just reveal how we talk about things; they also reveal and inform how we think about things, deep down

That said, I think the “second brain” metaphor has three problems: It implies delegating cognition. The promised outcome is a prosthetic mind. That is, the system will relieve you of thinking and (especially!) long-term recall. (Westenberg: “I believed I was solving a problem of forgetting.”) It sets expectations PKMs can’t meet. This isn’t a promise current PKMs — even with AI — can deliver. The system won’t “extract the gold,” at least not for a long time and after a lot of work on your part. These are bad expectations to begin with. Even if PKMs could do this, you shouldn’t want this. If you want to think better, your goal shouldn’t be to delegate your thinking: It should be enabling your first brain to work better.

But I also believe mindset influences the value you get from these systems. And unfortunately, the most common framing for PKMs sets the wrong mindset. It’s the metaphor in the title of Westenberg’s post: second brain.

If you name the fallacy in your response, I would say, you're doing it wrong.

e dopamine die je krijgt van het scrollen is niets meer dan een 'verwachting van' een beloning, een beloning die nooit komt want uiteindelijk heb je uren lopen scrollen als een zombie en voel je je enkel meer miserabel. Terwijl uit de dopamine die je krijgt van dingen zoals al die muziek op je mp3-speler downloaden, wel echt een beloning volgt. Dat kan verklaren waardoor je je zoveel beter voelt, je hebt ook écht een resultaat waar je blij mee bent

Since the early days of the blogosphere I have cherished the ability to view the world through the eyes of people more qualified than me to understand and explain what happens in particular domains.

I’ll be honest: I feel conflicted about the framing of this as a European project.

Any European State which respects the values referred to in Article 2 and is committed to promoting them may apply to become a member of the Union.

1.   The Union's aim is to promote peace, its values and the well-being of its peoples. 2.   The Union shall offer its citizens an area of freedom, security and justice without internal frontiers, in which the free movement of persons is ensured in conjunction with appropriate measures with respect to external border controls, asylum, immigration and the prevention and combating of crime. 3.   The Union shall establish an internal market. It shall work for the sustainable development of Europe based on balanced economic growth and price stability, a highly competitive social market economy, aiming at full employment and social progress, and a high level of protection and improvement of the quality of the environment. It shall promote scientific and technological advance. It shall combat social exclusion and discrimination, and shall promote social justice and protection, equality between women and men, solidarity between generations and protection of the rights of the child. It shall promote economic, social and territorial cohesion, and solidarity among Member States. It shall respect its rich cultural and linguistic diversity, and shall ensure that Europe's cultural heritage is safeguarded and enhanced.

The Union is founded on the values of respect for human dignity, freedom, democracy, equality, the rule of law and respect for human rights, including the rights of persons belonging to minorities. These values are common to the Member States in a society in which pluralism, non-discrimination, tolerance, justice, solidarity and equality between women and men prevail.’.

Linda Liukas has more.

20 years ago, Europe had a thriving generation of social platforms and the entrepreneurs, designers, and programmers building them. A capability and an industry that have been lost.

Tijdens de tweede wereldoorlog, op 6 of 7 november 1944 wordt Jaap Koek door de Duitse bezetter opgebracht voor de Arbeitseinzats. Zijn verre oom Ger Jannink (1900-1976) weet hem uit de kollone van opgebrachte jongeren te redden door van jas en pet te ruilen en zelf de plek van Jaap in te nemen. Een eerste poging valt meteen op en onder dreiging met geweren wordt de vluchtpoging opgegeven, maar een tweede poging is wel succesvol.In 1944, duikt hij onder op Stepelerveld, de boerderij van zijn oom Ebs, o.a. bij Klaas Zijlstra (de bedrijfsleider van Stepelerveld) thuis onder de vloer.

been working on true E2EE in ActivityPub, using the MLS protocol — which is a successor to Signal protocol with better support for very large groups.

Funding for this feature was secured through the Sovereign Tech Fund

“We needed everybody’s approval to get it in the film,” he said. “So Guns N’ Roses was definitely a disappointment for us; we all have a lot of respect for Guns N’ Roses.”Grace Jones, meanwhile, “apparently couldn’t get over the political hurdle, notwithstanding the fact that the film is not a political film,” he claimed. “So that was disappointing, too. It’s disappointing when people put politics so far ahead, and that happened a little bit with the film, for sure.”Advertisement HPGam.cmd.push(function(){ return HPGam.render("inline-2", "entry_paragraph_3", false, false); }); A lawyer for the estate of Prince, meanwhile, nixed approval even though the rights holders had granted it.“Literally we were ready to go, and this lawyer that manages the estate was like, ‘Prince would never want his song associated with Donald Trump,’” he recalled. “And we’re like, ‘But it’s not a Donald Trump film! He comes into the movie once in a while, but this is all about Melania. It’s not political.’ And that guy blocked it. It’s so ridiculous.”Songs by Michael Jackson, Tears for Fears, Aretha Franklin and The Rolling Stones were approved for the film.

The former civil servant said: “Andrew was seen as a liability. He went off-script, he thought he was an expert, when he wasn’t. He thought he was funny, when he was being rude to people.”

Domain TLD pricing. This one is just baffling. Certain TLDs cost significantly more when purchased through European registrars. I'm talking 2-3x markups on extensions that are cheap everywhere else. I never got a satisfying explanation for why. If anyone knows, I'm genuinely curious.

Twenty CRM for customer management

Hanko handles authentication and identity. A German provider that gives you passkeys, social logins, and user management

Nebius powers our AI inference. If you need GPU compute in Europe

Bunny.net is the unsung hero of this stack. CDN with distributed storage, DNS, image optimization, WAF, and DDoS protection, all from a company headquartered in Slovenia. Their edge network is genuinely impressive and their dashboard is a joy to use. Coming from Cloudflare, I felt at home rather quickly.

Zoals hierboven beschreven ga ik er vanuit dat de bekende e-maildiensten die we dagelijks gebruiken, privé of zakelijk, eruit zullen liggen. Het is dan handig als we snel en makkelijk een nieuw, herkenbaar e-mailadres kunnen krijgen. Dat kan bijvoorbeeld als een Nederlandse hoster zich daarop heeft voorbereid en het in de crisissituatie – of daarvoor al – mogelijk maakt om snel en makkelijk een nieuw e-mailadres te krijgen. Dat kan via de wallet! Daarmee kun je bewijzen wie je bent en kun je een standaard e-mailadres krijgen. In mijn geval zou dat kunnen zijn van de vorm: b.p.f.jacobs@diginoodpakket.nl of b.p.f.jacobs-nijmegen@diginoodpakket.nl. Mijn achternaam, initialen en woonplaats kan ik vanuit mijn wallet aan de hoster tonen, die vervolgens dit e-mailadres voor mij aanmaakt. Dat is geen rocket science. Op zo’n manier kunnen mensen elkaar weer bereiken. Ook daar moeten instructies en uitleg voor komen.

want of het installeren van nieuwe apps daarna nog kan is onduidelijk

Er zijn ook ‘decentrale’ wallets, waarbij jouw persoonsgegevens in jouw telefoon opgeslagen staan. Zulke apps blijven wel werken en kunnen in een flinke crisis buitengewoon nuttig zijn. Zo’n wallet app zal voorlopig niet van de Nederlandse overheid komen, want die opereert in de Europese achterhoede bij de invoering: een overheidsvariant gaat nog minstens twee jaar duren. Maar er zijn al wel andere functionerende wallets, met betrouwbare gegevens.

Digitale identiteit zal het startpunt moeten zijn, om weer van de grond te komen.

Het pakket zou wat mij betreft erop gericht moeten zijn om burgers te helpen de onderlinge communicatie weer op gang te krijgen, op een betrouwbare manier, waarbij je met een redelijke mate van zekerheid kunt weten wie je ‘aan de lijn’ hebt. Wat is daar voor nodig?

een versterkte aanpak op het afspreken, invoeren en handhaven van (digitale) standaarden, zoals via Nederlandse Digitaliseringsstrategie. Daarnaast noemt de brief het inzetten op meer steun bij implementatie en toetsing vooraf bij IT-projecten.

Het gaat om de meest recente meting Informatieveiligheidsstandaarden en de Monitor Open Standaarden 2025.

Ik onderzoek ook hoe we IT-projecten en aanbestedingen bijoverheidsorganisaties vooraf kunnen toetsen en een zwaarwegend advies meekunnen geven over de uit te vragen relevante verplichte standaarden van de ‘Pastoe of leg uit’-lijs

The scenarios Wooldridge imagines include a deadly software update for self-driving cars, an AI-powered hack that grounds global airlines, or a Barings bank-style collapse of a major company, triggered by AI doing something stupid. “These are very, very plausible scenarios,” he said. “There are all sorts of ways AI could very publicly go wrong.”

a spark that ignited the 200,000 cubic metres of hydrogen

“It’s the classic technology scenario,” he said. “You’ve got a technology that’s very, very promising, but not as rigorously tested as you would like it to be, and the commercial pressure behind it is unbearable.”

The race to get artificial intelligence to market has raised the risk of a Hindenburg-style disaster that shatters global confidence in the technology, a leading researcher has warned.Michael Wooldridge, a professor of AI at Oxford University, said the danger arose from the immense commercial pressures that technology firms were under to release new AI tools, with companies desperate to win customers before the products’ capabilities and potential flaws are fully understood.

Inmiddels is DataFryslân een coöperatie met veertien leden, waaronder zeven Friese gemeenten en de Provinsje Fryslân. Nieuw Elan Juni 2024 Nee./PODIUM Geen. Ntb. Ntb. Geen. Geen.Geen. Huurdersbelang Fryslân december 2023 Nee./PODIUM Geen. Ntb. Ntb. Geen. Geen.Geen. De Friesland november 2023 Nee./PODIUM. Geen. Ntb. Ntb. Geen. Geen.Geen. Gemeente Tytsjerksteradiel november 2023 Nee./HUB Geen. Ntb. Ntb. Geen. Geen.Geen. Provinsje Fryslân februari 2019 Ja./HUB Drs. Arjan SchepersAlgemeen Directeur Provinsje Fryslân Mark StuijtAdviseur Provinsje Fryslân Berend TirionAdviseur Provinsje Fryslân Diederik Scepter (februari 2019 - december 2021) Regina Bouius (februari 2019 - juni 2022) Geen.Geen. Gemeente Leeuwarden februari 2019 Ja./HUB Drs. Eelke de JongBestuursvoorzitter DataFryslânVoorzitter ALV DataFryslânGemeentesecretaris Gemeente Leeuwarden Gijs ScholtenWethouder gemeente Leeuwarden Elsbeth van HaselenHoofd Informatiemanagement Mr. Ir. Reindert Hoek (februari 2019)... Gemeente Súdwest-Fryslân februari 2019 Ja./HUB Drs. Kristiaan StrijkerPenningmeester DataFryslânGemeentesecretaris gemeente Súdwest-Fryslân Michiel RietmanWethouder gemeente Súdwest-Fryslân Rob JanssenTeammanager Informatiemanagement Pieter Zondervan (februari 2019  - december 2021)... Gemeente Smallingerland februari 2019 Ja./HUB Siebren van den BergSecretaris bestuur DataFryslânGemeentesecrataris gemeente Smallingerland Sipke HoekstraWethouder gemeente Smallingerland Mariska van Nijen, Teammanager Informatiemanagement (2025 - ) Jelmer Mulder (februari 2019 - december... Rijksuniversiteit Groningen februari 2019 Ja./HUB Prof. Dr. Anne BeaulieuAletta Jacobs chair of Knowledge InfrastructuresDirector of the Data Research Centre at Campus Fryslan Prof. Dr. Andrej ZwitterDean Campus Fryslân Dr. Oscar GstreinProgramme Director Campus Fryslân Jouke de Vries (februari... NHL STENDEN februari 2019 Ja./HUB Drs. Peter MulderProgrammamanager Ecosystemen Erica SchaperBestuursvoorzitter van NHL Stenden Frank GortProgrammamanager NHL Stenden Soon Hee Santema (februari 2019 - december 2021) Geen.Geen. Planbureau Friesland februari 2019 Ja./PODIUM Geen Geen Chaïm La Roi Drs. Ingrid de VegteDirecteur/Bestuurder FSP(2019 - 2023) Jornt OzengaRaad van Toezicht FSPGemeentesecretaris van gemeente Lelystad(2019 - 2023) Marijn Mollema (2022-2024) Gemeente Waadhoeke mei 2022 Ja./LAB Geen. Jeroen IJkemaGemeentesecretaris gemeente Waadhoeke Jan-Daem de LangeTeammanager Informatiemanagement Geen. Geen.Geen. ROS Friesland Mei 2022 Nee./PODIUM Geen Sandra ScherstraDirecteur ROS Friesland Jildou de JongAdviseur Geen. Geen.Geen. Tresoar September 2019 Nee./PODIUM Geen. Arjan DijkstraDirecteur Tresoar Olav KwakmanTeammanager ICT Geen. Geen.Geen. Elkien September 2019 Nee./HUB Drs. Peter van er WegDirecteur/bestuurder Elkien Janine Koning, MSc, Manager ICT, Data en Digitalisering (januari 2025 - ) Dennis Feenstra (2022 - ) Geen. Geen. Roel Vuursteen (2022 - 2024) Gemeente Ooststellingwerf November 2022 Nee./PODIUM Geen. Geen. Geen. Geen. Geen.Geen. Gemeente Weststellingwerf November 2022 Nee./PODIUM Geen. Geen Geen Geen. Geen.Geen. Gemeente Noardeast-Fryslân Juni 2024 Nee./HUB Geen. Henk Verbunt MBA, gemeentesecretaris Noardeast-Fryslân Herman Buikema Geen. Geen.Geen. Gemeente Heerenveen Maart 2023 Nee./PODIUM Geen. Geen. Geen. Geen. Geen.Geen.

DataFryslân is in 2019 ontstaan als samenwerkingsverband van zeven Friese maatschappelijke organisaties die tijdens hun gezamenlijke betrokkenheid bij de Kulturele Haadstêd 2018 ontdekten dat er mooie dingen kunnen ontstaan als partijen met diverse achtergronden kennis en ervaringen met elkaar delen en samen optrekken met een gemeenschappelijk doel: datagedreven werken organiseren, stimuleren en propageren.