Fangwei’s and Prof. Peterson’s new paper in Energy Conversion and Management with Prof. Mike Porter looks at ways to integrate machine learning models with LCAs for negative emissions. This work extends onto our lab’s prior research on hydrothermal treatment and helps identify critical considerations for success of this technology for widespread deployment.
Our graduate student, Udayan Singh, participated at the 13th Graduate Climate Conference at Woods Hole, MA. He presented a poster on scaling up of negative emission technologies and discussed collaborative avenues with fellow grad students from various dimensions of climate research. His travel and stay there have been generously sponsored by a travel grant awarded by the conference organizing committee.
In the Datapalooza 2019, the annual conference of the School of Data Science, Prof. Peterson was invited as a panelist on Data and Climate. She outlined some of the critical data science inputs that would lead to multi-scale benefits in modeling negative emissions technologies. The panel was moderated by Prof. Andres Clarens while other speakers were Prof. Deborah Lawrence and Prof. Bill Shobe.