Stefan

Daume

PhD

Researcher

stefan.daume@su.se

@stefandaume

RSS-link

Profile summary

  • Social media and network analysis
  • Citizen science and crowdsourcing
  • Artificial intelligence
  • Data science
  • Computational social science
  • Crisis informatics (environmental emergencies)
  • Science communication

Stefan Daume’s research explores connections between digital technologies and sustainability, with particular focus on the promises and risks of social media for public engagement with environmental challenges

Daume is currently exploring how to detect, describe and counter environmental mis- and disinformation in online social media. His work, together with Victor Galaz, aims to understand how the spread of online misinformation impacts our ability to respond effectively to environmental emergencies like forest fires, and how it influences the long-term public perception of climate change and environmental challenges in general.

Currently, Daume’s research primarily utilises large Twitter data sets and employs a broad range of data science tools including social network analysis, text mining and machine learning.

He is also contributing to the programme Governance, Technology and Complexity at the Beijer Institute for Ecological Economics. Here, his focus is on the role of AI, intelligent autonomous systems and social media in the complex interactions between social systems and the biosphere.

Daume holds a degree in Forest Sciences (University of Goettingen) and an MSc in Artificial Intelligence (The University of Edinburgh). After a decade as a software developer, entrepreneur and open source contributor in several IT start-ups he returned to academia and completed a PhD focusing on the potential of social online media as a crowdsourcing tool for environmental monitoring.

Prior experiences also include work for the Swedish node of the Global Biodiversity Information Facility (GBIF) and the bioinformatics group at the Swedish Museum of Natural History, where he helped to develop tools and strategies for the digitisation of natural history collections.

Key publications

EATLancet vs yes2meat: the digital backlash to the planetary health diet. Garcia, D., Galaz, V., Daume, S. The Lancet, Volume 394, Issue 10215, 2153 - 2154. https://doi.org/10.1016/S0140-6736(19)32526-7

Daume S., Galaz V. 2016. “Anyone Know What Species This Is?” – Twitter Conversations as Embryonic Citizen Science Communities. PLOS ONE 11(3): e0151387. https://doi.org/10.1371/journal.pone.0151387

Daume, S. 2016. Mining Twitter to monitor invasive alien species — An analytical framework and sample information topologies, Ecological Informatics, Volume 31, Pages 70-82, ISSN 1574-9541,
https://doi.org/10.1016/j.ecoinf.2015.11.014

Daume, S., Albert, M., von Gadow, K. 2014. Forest monitoring and social media – Complementary data sources for ecosystem surveillance?, Forest Ecology and Management, Volume 316, Pages 9-20, ISSN 0378-1127, https://doi.org/10.1016/j.foreco.2013.09.004

Daume, S., Albert, M. & von Gadow, K. Assessing citizen science opportunities in forest monitoring using probabilistic topic modelling. For. Ecosyst. 1, 11 (2014). https://doi.org/10.1186/s40663-014-0011-6

Publications by Daume, Stefan

Data mining and pattern recognition

Book chapter | 2021

Rocha, J.C. & Daume, S. 2021. Data mining and pattern recognition. In: Biggs et al. (eds.) The Routledge Handbook of Research Methods for Social-Ecological Systems, Taylor & Francis Group, pp.241–251.

This chapter is part of The Routledge Handbook of Research Methods for Social-Ecological Systems which provides a synthetic guide to the range of methods that can be employed in social-ecological systems (SES) research. The book is primarily targeted at graduate students, lecturers and researchers working on SES, and has been written in a style that is accessible to readers entering the field from a variety of different disci...

EATLancet vs yes2meat: the digital backlash to the planetary health diet

Journal / article | 2019

Garcia, D., Galaz, V., Daume. S. 2019. EAT-Lancet vs. #yes2meat: Understanding the digital backlash to the ‘planetary health diet’. The Lancet

Food production, climate change, and human health are intrinsically related. The EAT–Lancet Commission is one of the first attempts to summarise and communicate the best available science on what constitutes a healthy diet within environmental targets. The launch of the report was paralleled by several international launch events, including a social media campaign with its own hashtag: #EATLancet. Although the report was posi...

“Anyone Know What Species This Is?” – Twitter Conversations as Embryonic Citizen Science Communities

Journal / article | 2016

Daume, S., V. Galaz. 2016. “Anyone know what species this is?”: Twitter conversations as embryonic citizen science communities. PLoS ONE 11(3): e0151387.

Social media like blogs, micro-blogs or social networks are increasingly being investigated and employed to detect and predict trends for not only social and physical phenomena, but also to capture environmental information. Here we argue that opportunistic biodiversity observations published through Twitter represent one promising and until now unexplored example of such data mining. As we elaborate, it can contribute to real...