See Full programme here: https://ukcop26.org/the-conference/green-zone-programme-of-events/ Ancient Knowledge and Modern Thinking: Climate Perspectives in Folk Art 13:00 – 14:30, 07 Nov 2021 The Open University and Glasgow Life How can art and science come together to inform the future of climate action? How can we utilise learnings from Indigenous communities to inspire nature-based solutions? In a…
Our latest paper from BeeWatch Planting for Pollinators citizen science data has just been published in Nature Scientific Reports. Widespread concern over declines in pollinating insects has led to numerous recommendations of which “pollinator-friendly” plants to grow and help turn urban environments into valuable habitat for such important wildlife. We used data gathered through our…
As the COVID-19 pandemic puts the focus on literacy and numeracy in home-schooling, KMi researchers have developed technologies to also help families learn about the natural environment. The Human-Computer Collaborative Learning in Citizen Science (X-Polli:Nation) project, which received £507,000 from the Engineering and Physical Research Council has responded to the pandemic by creating a new collection of interactive…
We are delighted to announce new research funding from the EPSRC to explore the potential for collaborative learning between humans and AI within the framework of environmental citizen science. A new collaboration between KMi (Siddharthan and Rüger) and STEM Deanery / EEES (Ansine), in partnership with Imperial College London, University of Aberdeen, Learning Through Landscapes and St Alban’s Primary School,…
Our latest Blogging birds paper has just been published in the Communications of the ACM. Blogging birds is a novel artificial intelligence program that generates creative texts to communicate telemetric data derived from satellite tags fitted to red kites — a medium-size bird of prey — as part of a species reintroduction program in the…
A paper coauthored by new KMi member, Advaith Siddharthan, ex-KMi member Chenghua Lin and their PhD student Mohamad Barawi was awarded the best paper award at the 22nd International Conference on Natural Language & Information Systems – NLDB 2017 (17% acceptance rate for full papers). The extended version of the paper below will be published in…
