The Missing Teacher in AI: Involving Teachers in Metadesign of AI to Ensure FAIRness. Co-Investigator. PI: Johan Lundin. Funded by Marianne and Marcus Wallenberg Foundation, within the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (WASP-HS) 5,813,000 SEK. 2022-2024. Grant MMW 2018.0036
I am the team leader for this project at the Department of Applied IT. The project is coordinated by NILU, Norwegian Institute for Air Research. PI: Núria Castell. Funded by NordForsk under the Nordic Programme on Sustainable Urban Development and Smart Cities. 2020-2023. Project number 95326. Total amount awarded to the project: NOK 12,499,688.
I am the principal investigator in this project (2019-2022). Funded by Marianne and Marcus Wallenberg Foundation, which allocated 3,740,000 SEK.
Human-machine integration in citizen science can harness the contributions of many human observers and use machine learning (ML) to process their contributed data. 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 approaches we will be using include statistical analysis and document analysis.
Recently completed research project:
From September 2018 until the end of August 2019, I worked as a researcher in Digitranscope, a EU Joint Research Centre’s project examining the governance of digitally transformed human societies. The programme aims to provide a deep understanding of digital transformation to help policy-makers address the challenges facing European society over the next decades.
Science increasingly turns to online volunteers through open calls for help in the analysis of very large sets of data. This initiative goes under the banner of “citizen science”, crowdsourcing” or “crowd science” and is an important and innovative way for science to expand the workforce needed to manage large data sets. Contributions from a wider population into scientific knowledge production require arrangements to ensure quality. How are digital technologies used to enable volunteers with limited knowledge about theory and methods to contribute to science? How are scientific rigour and data quality achieved? In this project, more seldom investigated aspects of citizen science will also be explored: the expanded role voluntary contributors might play as their relationship to science is mediated through digital technologies and the development of their own epistemic practices among engaged amateurs. I was a Co-Investigator in this project funded by Marianne and Marcus Wallenberg Foundation. Total funding amount SEK 12,325,000.
Networks for Research Cooperation
- Naixus – Global Network of Excellence in AI and SDGs – Coordinator for the participation of the Department of Applied IT at the University of Gothenburg
- European Citizen Science Association – member
- COST Action 15212 – ended in 2020
Assignments for the European Commission and Science Foundations
External Expert for the Joint Research Centre; Evaluator for Horizon 2020 – the EU Framework Programme for Research and Innovation; Reviewer for the European Innovation Council and SMEs Executive Agency (EISMEA), Science Foundation Ireland, and Swiss national Research Foundation; Expert for the Austrian Science Fund and the Austrian Agency for International Cooperation in Education and Research.