Rolnick, David, Donti, Priya L., Kaack, Lynn H., Kochanski, Kelly, Lacoste, Alexandre, Sankaran, Kris, Ross, Andrew Slavin, Milojevic-Dupont, Nikola, Jaques, Natasha, Waldman-Brown, Anna, Luccioni, Alexandra, Maharaj, Tegan, Sherwin, Evan D., Mukkavilli, S. Karthik, Kording, Konrad P., Gomes, Carla, Ng, Andrew Y., Hassabis, Demis, Platt, John C., Creutzig, Felix, Chayes, Jennifer, Bengio, Yoshua
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.
As many as 153 million deaths linked to air pollution worldwide this century could be prevented if governments speed up timetables for reducing fossil fuel emissions. That is the claim of a new study which looked at the numbers of people in urban areas whose lives could be saved if temperature increases are limited to 1.5 C (2.7 F). The study is the first to project these numbers on a city by city basis, in 154 of the world's largest urban areas. In New York, Los Angeles, Moscow, Mexico City and Sao Paolo alone, between 320,000 and 120,000 premature deaths would be prevented in each city. Researchers say the study shows why politicians and governments should act swiftly to bring down carbon emissions.
World Resources Institute, World Wildlife Fund, and the New Climate Economy are at the helm of the financialization of nature. Also at the helm is the Natural Capital Coalition (collaborating with both World Resources Institute and World Wildlife Fund), which represents over 300 of the world's most powerful and egregious corporations while engaging "many thousands more". The New Climate Economy research partner, the Stockholm Environment Institute has a well-oiled revolving door between itself and the World Wildlife Fund. The institute has generous funding to the tune of 260 million SEK in 2017 (approx.