Over the course of the MediaFutures project we developped a number of resources for data-savvy entrepreneurs, creatives and artists and anyone else interested in using data responsibly in the media sector. These include information about outcomes and experiences of the MediaFutures acceleration and residencies support programme, results of the pilots, strategies, tutorials and webinars, datasets and tools, self-training resources, academic outputs such as research deliverables and scientific articles, as well as dissemination resources such as videos and other materials.
Little or no programming skills - willing to learn and develop some code in your project
- Training resources on responsible innovation, data skills, storytelling with data, art-science collaboration: improve your awareness on data ethics issues, your skills with data and your ability to use data for storytelling or learn from previous experiences on the collaboration between art and science
- Datasets: find datasets relevant to your project from our catalogue
- Data scraping: explore open tools and APIs to obtain data from online platforms such as Twitter, Reddit or Wikipedia
- Data science: check Python packages for data science that can help you process data to extract information for your artistic project
- Digital art tools: experiment with tools and technologies that support your creative process and increase its potential
Good technical skills - want to obtain and process data for developing your project
- Training resources on data skills, responsible innovation, data access: improve your data skills and your awareness on data ethics and data access issues
- Datasets: find datasets relevant to your project from our catalogue
- Data scraping: explore open tools and APIs to obtain data from online platforms such as Twitter, Reddit or Wikipedia
- Data science: check Python packages for data science that can help you turn data into information and knowledge
You know how to code, but you need data
- Datasets: browse the datasets catalogue and find datasets relevant to your project
- Data scraping: explore open tools and APIs to obtain data from online platforms such as Twitter, Reddit or Wikipedia
Resources filter
Datasets and Tools
Videos
Self-training resources
MediaFutures teams’ tools
Other resources
Fake News Datasets
Fake news datasets, papers, and eventually codes, widely used in research.
Generative AI
Libraries and frameworks of Generative AI models and tools.
Assets teams
Selection of assets applied in MediaFutures projects.
General datasets
List of open datasets and dataset collections by third parties, that may be relevant for the MediaFutures calls.
Covid-19 related datasets
Open Datasets by Third Parties related to COVID-19.
Data Science
Python packages for data science
Collection of standard libraries for writing data science code in Python.
Digital Methods
Platforms for data manipulation and visualization
Collection of tools that allow working with data through a graphical interface, without need to code.
Data Collection
Open tools for retreiving data from online platforms
Collection of Python libraries for data scraping, APIs from popular online platforms, and specific tools to access them.
Digital Art
Technologies for creative and artistic purposes
Collection of tools to support creating software in a creative context through simplified interfaces.
Algorithmic Fairness
Tools for checking bias and discrimination in machine learning
Collection of tools and libraries that allow for assessing fairness in machine learning models and algorithmic decisions.
eXplainable AI
Libraries and frameworks for explaining AI models
Selection of frameworks and libraries that allow explaining AI models covering the state-of-the-art approaches and multimodal data.
