21 May 2018: Stefan Daume Abstract Given the scale of environmental, social and economic changes threatening the stability of ecosystems globally, it is imperative to detect potentially irreversible changes earlier, or collect information to adapt to progressing ecological changes. Traditional ecological monitoring programmes may miss emerging warning signals due to resource limitations or monitoring design. Volunteer contributions to ecological monitoring through ‘citizen science’ programmes have emerged as a key supplement to traditional monitoring programmes, but they equally require active contributions, knowledge of processes and tools, and significant efforts to mobilize participants. Given the gravity of today's environmental challenges, all possible information sources need to be mobilized. Other domains successfully demonstrate the use of opportunistic information from informal online information sources such as blogs, micro-blogs or social networks, and operational examples such as epidemic disease monitoring hint at a similar potential in the ecological domain. However, although promising, the use of social media as a source of both environmental information and communities remains largely unexplored and is not utilized to its full potential. In this talk I will provide an overview of my work with social media as sources of ecological information as well as future plans to operationalize this information source in order to assemble new communities that may help to deliver rapid responses to emerging environmental challenges. Biography Dr Stefan Daume is currently preparing to launch Scitingly, a social enterprise and open science platform dedicated to mobilizing social media data and communities for environmental monitoring and citizen science. He holds degrees in Forest Sciences (University of Goettingen) and Artificial Intelligence (The University of Edinburgh). His PhD project (University of Goettingen) - completed in close collaboration with the Stockholm Resilience Centre - focused on social media mining as an opportunistic citizen science model in environmental monitoring. He previously worked in several IT startups, before concentrating on biodiversity informatics, crowdsourcing and citizen science with assignments at the Stockholm Resilience Centre, the Swedish node of the Global Biodiversity Information Facility and the Bioinformatics group at the Swedish Museum of Natural History. May 21 2018 15.30 - 16.30 21 May 2018: Stefan Daume Social computation, citizen science and environmental monitoring - Mining social media to address socio-ecological challenges IF 4.31/4.33
21 May 2018: Stefan Daume Abstract Given the scale of environmental, social and economic changes threatening the stability of ecosystems globally, it is imperative to detect potentially irreversible changes earlier, or collect information to adapt to progressing ecological changes. Traditional ecological monitoring programmes may miss emerging warning signals due to resource limitations or monitoring design. Volunteer contributions to ecological monitoring through ‘citizen science’ programmes have emerged as a key supplement to traditional monitoring programmes, but they equally require active contributions, knowledge of processes and tools, and significant efforts to mobilize participants. Given the gravity of today's environmental challenges, all possible information sources need to be mobilized. Other domains successfully demonstrate the use of opportunistic information from informal online information sources such as blogs, micro-blogs or social networks, and operational examples such as epidemic disease monitoring hint at a similar potential in the ecological domain. However, although promising, the use of social media as a source of both environmental information and communities remains largely unexplored and is not utilized to its full potential. In this talk I will provide an overview of my work with social media as sources of ecological information as well as future plans to operationalize this information source in order to assemble new communities that may help to deliver rapid responses to emerging environmental challenges. Biography Dr Stefan Daume is currently preparing to launch Scitingly, a social enterprise and open science platform dedicated to mobilizing social media data and communities for environmental monitoring and citizen science. He holds degrees in Forest Sciences (University of Goettingen) and Artificial Intelligence (The University of Edinburgh). His PhD project (University of Goettingen) - completed in close collaboration with the Stockholm Resilience Centre - focused on social media mining as an opportunistic citizen science model in environmental monitoring. He previously worked in several IT startups, before concentrating on biodiversity informatics, crowdsourcing and citizen science with assignments at the Stockholm Resilience Centre, the Swedish node of the Global Biodiversity Information Facility and the Bioinformatics group at the Swedish Museum of Natural History. May 21 2018 15.30 - 16.30 21 May 2018: Stefan Daume Social computation, citizen science and environmental monitoring - Mining social media to address socio-ecological challenges IF 4.31/4.33
May 21 2018 15.30 - 16.30 21 May 2018: Stefan Daume Social computation, citizen science and environmental monitoring - Mining social media to address socio-ecological challenges