This project aims to support the development of human-machine integration in a citizen science classification project called Koster Seafloor Observatory, part of the Ocean Data Factory Sweden, which aims to study how climate change and human activities influence Sweden’s marine ecosystems. We aim to contribute to optimizing the overall experience of marine citizen scientists, not just the efficiency and speed of classifications.
We combine qualitative and quantitative analytical approaches, as we are using different types of data. Examples of data can include forum posts (qualitative) and accompanying meta-data (quantitative); information from documents (e.g., websites, reports, etc.) (qualitative), and interviews (qualitative). Analytical approach we will be using include trace ethnography and document analysis.
The research will last three years (September 2019 – August 2022), organized into the following phases:
- State-of-the-Art Analysis – Citizen Science Classification Projects
- Data Collection and Analysis