Resources1 | Media Futures

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Find what you are looking for

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

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