How can decentralised data flows coming from spontaneous citizen science initiatives help innovate the public sector in crises scenarios? How can citizen science methods and approaches be applied to the field? What are the pitfalls of this idea? Some tentative answers resulting from our collective brainstorming, in the blog post just out on SensJus page, recounting of our session organized at the European Citizen Science Association Conference 2022.
my work explores the role of data in reproducing social inequalities, especially now that we use AI. I have also studied the use of digital technologies in citizen science.
more at: https://marisaponti.org/
tag heap: #datapractices #datastudies #infrastructurestudies #participatorydesign #scienceandtechnologystudies #AIforsocialgood #Citizengenerateddata #collectiveintelligence
๐ฎ๐น ๐ธ๐ช Associate Professor at the University of Gothenburg, Sweden, Department of Applied IT.
Interested in Citizen Science, Citizen-Generated Data, AI for Social Good.
Also interested in doing work at the science-policy interface.
More here: https://marisaponti.org/
Theoretically informed by STS, especially ANT.
Trying to avoid being a "braindead-microphone".