Teaching Lab

Promoting innovative teaching

At the end of its funding period, the DDLitLab can look back on the successful implementation of a pioneering initiative: In the first two one‑year funding rounds, a total of 35 innovative teaching projects were supported across all faculties of the university. In these projects, digital and hybrid teaching innovations with a strong focus on Data Literacy were developed, whether in cross‑disciplinary courses, discipline‑specific modules, or transfer‑oriented formats. The initiative pursued the goal of sustainably integrating Data Literacy as a key competence into curricula and creating space for instructors to implement their creative teaching ideas in a methodologically sound way.

With the third funding round, the initiative was further developed for the winter semester 2024/2025 in close collaboration with the Hub of Computing & Data Science (HCDS): the Data Literacy Teaching Lab approach evolved into the Cross‑Disciplinary Teaching Lab (CDTL), within which 10 initiatives were funded. This connection enables even stronger interdisciplinary collaboration and pedagogical‑technological development through integration into the educational ecosystem “Data Literacy Education.” Across all three funding rounds—with 14 Teaching Lab projects in the first round, 21 in the second, and 10 CDTLs in the third—an impressive diversity of 45 innovative teaching initiatives emerged, anchoring Data Literacy in teaching both within and across disciplines.

In addition to the teaching projects and building on the DLE network, a vibrant DDLitLab Fellow network has been established in the course of the initiative. This network promotes exchange and collaboration among teachers and focuses on digital and data-related teaching content and digital didactic formats. Understanding the conditions of digital transformation as an opportunity for further development and a challenge to existing structures is a common denominator for many subjects, departments, and disciplines at the UHH.

  • Freedom for innovative, unconventional teaching through teaching lab support
  • Peer coaching and exchange of results/experiences between different generations of fellows
    • Sustainable consolidation of teaching formats, materials, and offerings
  • Didactic support (improvement of digital teaching skills) through fellow workshops and teaching concept workshops
  • Regular networking formats and community building

  Data Literacy as a key competence

in 35 teaching projects

across all 8 faculties

D2EduLoop

'Put Digital and Data Literacy in the Loop!': Strategic Integration of Digital and Data Literacy Education in Educational Science

Bild: Stablediffusion

DAforLing

(Advanced) Data Analysis for Linguists

Bild: glen carrie/unsplash

Repro

A Reproducible Paper

Bild: Scott Graham / unsplash

Data Science for Socioeconomists

About AirBnB data and steep learning curves - or successful frustration management in data science

Bild: UHH / Pawlowski

Interdisciplinary NES

Algorithmic Optimization in Democratic Public Spheres —Interdisciplinary Design of a News Recommendation System

Bild: Gül Isik / pexels

ADS-ControDisc

Applying Data Science to Controversial Discourses

Bild: napendra singh / unsplash

BreAkIng Bad

BreAkIng Bad – Hacking the AI Act

Bild: deepmind X / unsplash

BreAkIng Bad

BreAkIng Bad: Hacking the AI Act

Bild: deepmind x / unsplash

Innovation by Legal Design Thinking – Student Digitalization Lab

Computer science and law don't go together? You bet! How students develop clickable prototypes using legal design thinking

Bild: UHH / Pawlowski

CfA

Computer-based formative Assessment in Science Education

Bild: stem t4l / unsplash

CROSPER

Crossing Perspectives: Illustrate, analyze and normatively evaluate media ecosystems

Bild: creative christians/unsplash

DDLE in the school

Data and the digital world - a topic for schools and lessons!

Bild: stablediffusionweb.com

DLitAlgoDS

Data Literacy for Algorithmic Decision Support

Bild: ma joseph / unsplash

DLE Climate Change

Data Literacy for Teachers — An Interdisciplinary Module in the Context of Climate Change

Data Literacy in Medicine

Data Literacy in Medicine — Analyzing Data and Critically Reading Literature

WiSo Data Science

Data Science for Social Scientists and Economists

Bild: Scott Graham / unsplash

DDSOEC2

Data Science for Socioeconomists 2.0

Bild: Scott Graham / unsplash

DDCo-Lab

Data-Driven Collab and Digital Lab

Bild: annie spratt / unsplash

D3 Innovation Lab

Data-Driven Digital Innovation Lab

Bild: Projektgruppe

D3 Innovation Lab

Data-Driven Digital Innovation Lab

Bild: ux indonesia / unsplash

D²S²C

Data-driven Solutions for the Smart City Hamburg

WS DSI

Data-driven, value-sensitive digital social innovations

Bild: alexander sinn / unsplash

Digital Causality Lab

Digital Causality Lab — Tracing the "why" in data

Bild: UHH/Bach

Digital Humanities

Digital Humanities - How does it work?

Bild: https://stablediffusionweb.com: literature management software

DH and didactics

Digital literary studies and literary didactics

Bild: teresa berndtsson letterword text taxonomy

PECE

Digital Propaedeutics in the Humanities

Bild: Projektfoto

Digitizing Cultural Assets

Digitizing Cultural Assets: Digitally Accessing and Researching Analog Documents

Bild: Pexels

Disinformation

Disinformation and political counter-publics on Telegram

Bild: christian wiediger / unsplash

Workshop RDM

Early Education for Data Management Decisions = E²D²

Bild: markus spiske/unsplash

E2D2 Adapted

Early Education in Data Management Decisions an adapted Course

Bild: anna nekrashevich / pexels.com

EBM 2.0

EpiBioManual 2.0

Bild: National Cancer Institute / unsplash

OpinionDigital

Fake News, Information Overload, Bots and Algorithms — Opinion Shaping in a Digital Society as a Topic of Instructional Development

FemIntervention

Feminist Intervention in NachrichteNews Distribution

Bild: https://stablediffusionweb.com: painting-of-diverse-women-with-smartphones-with-neon-colours

Psychology meets computer science - from the collection to the analysis of complex data

From danceable audiobooks and “thorny opportunities

Bild: UHH / Pawlowski

Digital Causality Lab

How to compare apples with apples - or: Why causal inference is important for everyone

Bild: UHH / Pawlowski

Hybrid counselling service

Hybrid advisory service for the entire BA and teacher training program

Bild: von Wieding / UHH

StudDigiLab

Innovation by Legal Design Thinking – Student Digitalization Lab

Bild: patrick perkins / unsplash

StudDigiLab

Innovation by Legal Design Thinking – Student Digitalization Lab

IbLDT

Innovation by Legal Design Thinking (IbLDT)

Bild: Patrick Perkins / unsplash

Teacher AID Lab

Interdisciplinary AI + Data Lab in Teacher Education

Bild: Vanessa Lohring / pexels

Interdisciplinary AI + Data Lab in Teacher Education

Learning computer science with pen and paper - it's possible!

Bild: UHH / Pawlowski

Queer Approaches to Corpus and Discourse Linguistics

Make-up or Protest? How to manage large amounts of text in queer linguistics and supplement them with in-depth analyses.

Bild: UHH / Pawlowski

Metadata Literacy Lab

Metadata Literacy Lab

Bild: ali shah lakhani/unsplash

Causal Inference for All!

Opening the Digital Causality Lab - Causal Inference for All!

Bild: UHH/Bach

VolveD

Prediction of teacher behavior based on large data collections

Bild: kvalifik/unsplash

PTI

Psychology meets computer science - from the collection to the analysis of complex data

Bild: Devon Divine / Unsplash

QuZuKoDiLi

Queer approaches to corpus and discourse linguistics

Bild: Alexander Grey / unsplash

Science Slam as part of UHH Sustainability Week

Science Slam

Bild: Alexander Sinn / unsplash

BreAkIng Bad: Hacking the AI Act

The devil's advisor - or: How students deal with the EU AI Act in a corporate context via 'ethical hacking'

Bild: UHH / Pawlowski

DCL Vol.3

The Digital Causality Lab Meets AI

Bild: UHH/Bach

Mikropolis

Understanding and Sustainably Shaping the Digital Transformation

Git

Version Control of Code and Data with Git and DataLad

Bild: https://git-scm.com/ - https://www.datalad.org/

Version Control of Code and Data with Git and DataLad

Version control? We can all use it!

Bild: UHH / Pawlowski