Venue: UB E-01.01 (Laboratorium) 
Organisers: AI Living Lab Team (Max Paulus, John Gatev, Koen van Elsen)  

In the first part of this workshop, we provide a brief overview of the generative AI infrastructure at the UvA, with a particular focus on its Application Programming Interface (API), which gives access to state-of-the-art generative AI models in a safe and secure manner. We also introduce the GenAI Research Guide built on this infrastructure, a public library of research methods that use large language models, each with source-linked documentation and a ready-to-use coding-agent skill.  

In the second part of the workshop, participants get hands-on experience integrating the API with an IDE or TUI for agentic coding, working through examples of agent-based methods already in the guide, such as multi-agent debate for classification, experimental agent simulations and others. 

This workshop is free of charge and open to UvA PhD students, researchers, and employees only. 

Prerequisites 
This workshop is for researchers with basic and advanced programming knowledge, looking to use GenAI to build research applications.  
Note: basic programming knowledge could mean you have completed "Introduction to programming" workshops offered by the DSC, and/or are familiar with the concepts outlined in the Python or R Carpentries guides. 

Learning outcomes 
After this workshop, participants will: 

• understand the GenAI infrastructure at the UvA and its use for research; 
• learn how to integrate the API with an IDE or TUI and use the GenAI Research Guide's coding-agent skills; 
• see how to turn a publication into a new guide contribution through the pipeline; 
• recognize how different LLM enabled methods are used in applied research; 
• get to know other researchers and their ideas for research applications. 

What to bring 
Your own laptop with your favourite editor/IDE. Note that while we will try our best to accommodate different setups and IDEs, we might not be able to support all of them. It is recommended that you request an API key from the GenAI Living Lab before the workshop. 

Venue: UB A0.04 (P.C. Hooftzaal) 
Organiser: Queer and Feminist Informatics Network (QFIN)   

Every dataset is a record of decisions somebody made about how to count people. In this hands-on workshop, run by the Queer and Feminist Informatics Network (QFIN), you start with the last 24 hours of your own life and reconstruct it as a data trail: every point at which a phone, app, card, transit gate, login or camera recorded something about you. We then sort those traces into categories and ask what a system would assemble out of them, which version of you gets built, which parts are guessed rather than observed, and how much of the guessing quietly runs along lines of gender, age and class. This is the hallucinated human subject from our recent published work: a persona statistically assembled from your traces and held to a standard of coherence you never agreed to. 

The second half turns it around. If coherence is what these systems need, incoherence is where they fail, so we look at refusal, glitch, noise and deliberate inconsistency as practical tactics, at what each of them costs you, and where they stop working.  

Prerequisites 
None. The session is led by computer scientists but is designed to be entirely non-technical, meaning that there is no coding, no maths, nothing to install, and no data of yours leaves the room. 

What to bring 
Your own laptop. 

Venue: UB A1.01 (Chirurgisch Theater)
Organiser: UvA Data Expertise Centre (DEC)  
Note: This session can be held in Dutch, English, or both, depending on participant preferences.

This workshop is for all colleagues who enjoy data wrangling and are interested in exploring the data analysis possibilities that UvA tools can provide. In the first part of this workshop, we will introduce and discuss the various available possibilities and demonstrate our new Data Landing Zones, which may be used for all sorts of data analysis at various levels. We'll show you what tools are available to create analyses, outcome predictions, dashboards, and other useful insights.

In the second part, we bring out case studies so that you yourself can get busy creating one of two specific data products. Whether you prefer Excel spreadsheets, PowerBI, or advanced work in Python, we'll help you to discover the possibilities contained within our Data Landing Zones and to set up something functional and useful.

What to bring
Bring your own laptop.

Venue: UB D02.08 (Ruyszaal) 
Organiser: UvA Data Expertise Centre (DEC)  
Please note: this session will be conducted in Dutch.

Hoe werkt data delen aan de UvA en hoe kunnen we dit beter inrichten? In deze workshop van het Data Expertise Centrum gaan we op twee manieren kijken naar data delen:

• Hoe werkt het nu, aan de UvA?
• Hoe zouden we willen dat het werkt, en hoe komen we daar?

Samen met jullie gaan we hier conceptueel en inhoudelijk aan de slag om de inhoudelijke basis te ontwikkelen waarmee een afwegingskader gemaakt kan worden voor wenselijke datadeling. We willen iets creëren dat helpt om: 

• nieuwe datadelingen sneller én zorgvuldiger te starten;
• bestaande procesroutes voor 'kunnen' en 'mogen' beter te benutten; 
• te bepalen wanneer een lichte standaardroute volstaat en wanneer opschaling nodig is;
• afspraken tijdens de looptijd zichtbaar te houden;
• bestaande datadelingen consistent te heroverwegen, aan te passen of te stoppen.

Wat we niet willen: een nieuw megaproces ontwerpen. Samen met jullie gaan we op zoek naar iets dat voor zo veel mogelijk collega's begrijpelijk en toegankelijk is.

Beoogde resultaat
De beoogde opbrengst van deze workshop is een concrete tool, namelijk een eerste Minimum Viable Datadeelcyclus: een beperkte set vaste vragen, routes, rollen, reviewtriggers en stopcriteria voor goed data delen aan de UvA. Ons doel is om deze na afloop ook online beschikbaar te maken in de vorm van een quick reference card, zodat al onze collega's er iets aan hebben.

Benodigdheden
Voor deze sessie hoef je niets mee te nemen.