Graduate Research Assistantship (MS or PhD) in Ecological Modeling – Sim4est The Forest Advanced Computing & Artificial Intelligence Lab (FACAI) at Purdue University is seeking applicants for a Graduate Research Assistant position in ecological modeling. The successful candidate will work with the global forest expert team in Science-i to participate in a research project […]
Postdoctoral Research Associate in Ecological Modeling – Sim4est The Forest Advanced Computing & Artificial Intelligence Lab (FACAI) at Purdue University is seeking applicants for a Postdoctoral Research Associate in ecological modeling. The successful candidate will coordinate with the global forest expert team in Science-i (see the map below for the global distribution) to lead a […]
As Science-i continues to grow in membership of both data contributors and data users, we recently launched Data Contributor Certification – a process to confirm contributors of ground-sourced forest inventory data across our team. This certification will facilitate team-wide research collaboration in two ways: For data users and research project organizers, this certification will allow […]
We are now inviting data contributors to participate in 10+ ongoing research projects in Science-i (https://science-i.org/groups/). For these and upcoming research projects, it is critical to know who has what dataset(s), because dataset is a major asset and leverage for one to participate in Science-i/GFBI studies. It has been over five years since we […]
WEST LAFAYETTE, Ind. — Local species richness, the number of species that coexist in a local community, is a key measure of biodiversity. Scientists have known for more than 200 years that large numbers of local species live near the equator, then decline toward the middle and higher latitudes. However, why local species richness differs […]
We are glad to launch Science-i on Strava! Please join us in running, cycling, swimming, rock climbing, skiing, etc. Let’s challenge each other, help each other, and have fun! https://www.strava.com/clubs/science-i Our first challenge is to accumulate 5,000km in running distance and 10,000km in cycling. This challenge aims to increase the participation of underrepresented biodiversity scientists.
Science-i service team members are starting to conduct #client_survey through brief 30-minute virtual and in-person interview sessions. The main goal for this interview is for us to get a better understanding of the #disconnection between communities, data users, and data providers, how this has or has not posed an obstacle to your #research_collaborations, and how […]