Publications

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...

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...

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...