Repost

Q&A Session for the Postdoctoral Research Fellowships in Biology (PRFB) Program Announced

The NSF Postdoctoral Research Fellowships in Biology (PRFB) program will be hosting a question and answer session 2 weeks prior to the PRFB Deadline. The Q&A session will be Nov. 16th, from 3-4 pm Eastern Time.  The PRFB deadline is December 6th, 2021.

Please register in advance for the webinar below, and share this invitation with anyone you think may be interested:

https://nsf.zoomgov.com/webinar/register/WN_Ogehn040SjGXPePi3GjeSg

NSF Announces Call for Center for Advancement and Synthesis of Open Environmental Data and Sciences

Reposted from our friends at the BioBuzz Blog.

NSF has released a new solicitation for a Center for Advancement and Synthesis of Open Environmental Data and Sciences (NSF 21-549). Letters of Intent for the solicitation are due on April 1, 2021

Exemplifying open and team science, the Center will be fueled by open and freely available biological and other environmental data to catalyze novel scientific questions in environmental biology through the use of data-intensive approaches, research networks, and training in the accession, management, analysis, visualization, and synthesis of large data sets.

The Center will provide vision for speeding discovery through the increased use of large, publicly accessible datasets – such as those provided by the National Ecological Observatory Network (NEON), Integrated Digitized Biocollections (iDigBio), the LTER network, Global Biodiversity Information Facility (GBIF), and others – to address biological research questions through collaborations with scientists in other related disciplines, as well as key questions that emerge at interfaces between biology, informatics, and a breadth of environmental sciences.

It also will foster the development of generalizable cyberinfrastructure solutions and community-driven standards for software, data, and metadata that support open and team science, and role-modeling best practices.

The Center will be a leader in diversifying the data-intensive environmental science workforce across demographic, geographic, institutional, and disciplinary dimensions and will further enable data-driven discovery through immersive education and training experiences to provide the advanced skills needed to maximize the scientific potential of large volumes of available open data.

For more information on the solicitation, including a list of cognizant Program Officers, please visit the program page.