Nova AI Club
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Student-led · Lisbon · Founded 2026

The last mile of AI
runs through us

Turn every Nova student into an AI super user. Whatever they study.

Applications open 27 to 31 October

Closes Sat 31 Oct · 23:59 Lisbon

Get good at putting AI to work.

Put AI to work in your studies, projects and first job. Learn from practitioners, build something you can show and meet people who follow through. The founding cohort is for every programme, from finance to marketing.

Find people who take it seriously

Share what you are trying and ask when you get stuck. Then help the next person. Between events we keep learning in our WhatsApp community, open to every Nova student.

Learn from people doing the work

We bring in practitioners and work through real problems with them. Bring your questions and a task you want to get better at.

Build something you can show

A useful automation, a tested workflow or a working prototype. Then learn to explain what you built and why it works, in class, on a project or in an interview.

  • No coding background needed. You do not need to be an AI expert either.
  • No membership fee. We never charge students to take part.
  • AI is for everyone. One topic, every programme.
  • 116 signatures on campus
  • 133 survey responses
  • 97% support the club
  • 89 want to join

All collected in under 24 hours.

Five departments.
Find where you fit.

Read what each one does, then pick your first choice when you apply, and a second if you like.

Projects

Build AI that students and companies actually use.

We build two things. Open study tools for every Nova student, like flashcards and an exam generator. And pro bono automation for companies and non-profits that External Relations brings in: we map a slow process, build an AI agent for it and hand it over. Once a month we meet for a build night.

What you could work on

  • Study tools

    Build free tools any Nova student can study with

  • General tools

    Build the tools the club runs on, starting with outreach

  • Tutorials

    Turn each build into a short tutorial, with Marketing

  • Client projects

    Once the first client signs: map the process, build the agent

Starting points, not fixed roles.

Good fit if

You have built something, even a clever spreadsheet.

Led by David Belschak and Jonas Kroh

Apply for Projects

Research

Research with Nova's D³ institute. Verified AI news for all.

Two parts. Research on how AI is put into practice, together with the Digital Data Design Institute (D³) at Nova SBE, an affiliate of Harvard's D³ Institute. We have agreed to work with the institute, and the first research sprint is planned for this semester. And an AI news brief every two weeks: we sort the news, Projects tests the tools, Marketing turns the brief into a video. AI safety is a standing topic.

What you could work on

  • AI news brief

    Sort the news in week one, write the brief in week two

  • Research sprints with D³

    Coordinate with the institute and run the sprints

Starting points, not fixed roles.

Good fit if

You check the source before you share the headline.

Led by Tommaso Gatti

Apply for Research

Marketing

Get AI news and tutorials to every Nova student.

We run the club's Instagram, LinkedIn, newsletter and WhatsApp community. The main job is the AI news: every two weeks, a 60-second video and a newsletter made from the Research brief. We also promote every event and recruiting round, and film what members build.

What you could work on

  • AI news, film and cut

    Film and cut the 60-second episode from the Research brief

  • Events and recruiting promo

    Make the posts and stories for every event and recruiting round

  • Tutorials

    Film what members build, together with Projects

Starting points, not fixed roles.

Good fit if

You edit reels in CapCut or Canva, or want to learn.

Led by Ashley Li

Apply for Marketing

External Relations

Open company doors for Nova students.

Everything that faces outside the club. We bring companies in for workshops and visits, find sponsors for events and stay in touch with AI clubs at other universities. We also find the companies and non-profits that Projects automates for, pro bono.

What you could work on

  • Company workshops

    Get a company to teach a workshop and organize the day

  • Company visits

    Plan and run visits to teams that use AI at work

  • Client outreach

    Find companies and non-profits with a process Projects can automate

  • Free AI tools

    Ask AI companies for free or cheaper access for Nova students

Starting points, not fixed roles.

Good fit if

You would cold-email a company and follow up until they reply.

Led by Jacopo Cartanese

Apply for External Relations

Operations & People

Run the club so the others can build.

We make the club feel like a club: we throw the kick-off, build nights, dinners and parties that bring members together. We also choose who joins: reading applications and talking to applicants. And we keep things running behind the scenes, so everyone else can build.

What you could work on

  • Events and socials

    Plan the kick-off, build nights, dinners and parties

  • Recruiting

    Choose the next members: read applications, talk to applicants

  • Club playbook

    Write down what works, so every event beats the last one

Starting points, not fixed roles.

Good fit if

You're the one who organizes the party, and everyone shows up.

The labs solved capability.
Nobody solved adoption.

Our goal: every student here uses AI better than the average professional in their field. And the guides that get them there stay public.

Capability

Solved.

Billions have gone into making AI more capable. Almost nothing has gone into the part that decides whether it matters. Can a person facing a real deadline get a correct result out of it, and know when not to trust it?

The last mile

A practice problem.

That gap is the last mile of AI. A better model will not close it. It is a practice problem: workflows, judgement and habits, built one person and one process at a time.

Adoption

One person and one process at a time.

This is where business students come in. In every company, someone will soon own how these tools get used, and most of those people will not be engineers. The job is commercial, not technical, and almost nobody is being trained for it. We work on adoption.

Mostly teaching.
Then get to work.

Most of what we run is teaching. You leave each session with something that works, shown by people who use these tools daily. Sometimes you build under pressure. Below is our plan for autumn. We publish exact dates and places once they are confirmed.

27 to 31 OctoberLaunch

Applications open

Apply from Tuesday 27 October until Saturday 31 October.

13 to 15 NovemberSocial

Kick-off event

All new members meet for the first time.

NovemberContent

AI news, episode 1

Then every two weeks.

Date to be confirmed

NovemberBuild

First build night

Members build together, once a month.

Date to be confirmed

End of NovemberWorkshop

Company workshop

Run with an external partner.

Date to be confirmed

DecemberCorporate

Company visit

See how a team puts AI to work.

Date to be confirmed

All semesterOngoing

Running in the background

  • Research sprint on AI adoption
  • First open study tool for every student
  • Pro bono automation projects for companies
  • AI news every two weeks

Next semesterCompetition

Hackathon

Build against the clock. Show something that holds up under scrutiny.

Date to be confirmed

Your first session is open to anyone. We also want to work with other Nova clubs, from Startup to Consulting to Tech.

Join the
founding cohort.

We select for motivation and initiative, not your CV.

No AI experience needed. CV optional.

Applications open 27 to 31 October

Closes Sat 31 Oct · 23:59 Lisbon

Apply on one page.

Short, honest answers beat polished ones.

  1. Pick a department, plus a second choice if you like. Compare them
  2. Answer a few questions for each choice.
  3. Send a short video, 30 seconds to 2 minutes: what you want to learn, build or bring.
  4. Chat with the department head.
How membership works

Curiosity first.
Then contribution.

Your role and time commitment get settled in the chat with your department head.

Meet the cohort

We'll all come together for our kick-off event, taking place from 13 to 15 November!

Have a say

As a member, you'll have a say in what we explore, the ideas we pursue, and the projects we bring to life.

Take something on

Take ownership of something, whether it's creating a guide, organizing an event, or launching a new initiative, and bring it to life.

Work with students who build.

Four ways to start. Message any of us on LinkedIn.

  • Teach a session

    A hands-on workshop on how your team uses AI.

  • Host a visit

    Let students see how your team works.

  • Sponsor an event

    Back a workshop or build night.

  • Bring a process

    Our Projects team can automate it, pro bono, and hand it over.

Apply by 31 October.

Open from Tuesday 27 October until Saturday 31 October, 23:59 Lisbon time. About 15 minutes, start to finish. No AI experience needed.

How we use your details

Nova AI Club uses your name, email, programme, answers, field trip availability, video link and any CV you add to review your application and contact you about this intake. We do this with your consent, which you can withdraw at any time. A person on the team reads every application. Applying does not guarantee membership.

Applications and CVs are stored privately on Cloudflare in the EU, with a backup copy on Vercel. Only the people reviewing this intake can open them, and we do not publish them or share them with companies. Your video stays on the platform you chose; we only store the link. We delete applications and CVs three months after this intake's decisions are sent.

To see, correct or delete your details, email admin@nova-ai-club.com or message Lukas on LinkedIn (opens in a new tab). Read the full privacy notice.