From: Ecological Society of America: grants, jobs, news [ECOLOG-L@LISTSERV.UMD.EDU] on behalf of Liza Lester [llester@ESA.ORG] Sent: Wednesday, 16 September 2015 9:15 AM
Subject: [ECOLOG-L] ESA SEEDS receives NSF Award to seed new Network for Next Generation Careers
Read this release online: http://www.esa.org/esa/esa-receives-nsf-award-to-seed-new-network-for-next-generation-careers/
FOR IMMEDIATE RELEASE: Tuesday, 15 September 2015
Contact: Alison Mize, 202-833-8773 ext. 205, Alison@esa.org
The Ecological Society of America, in partnership with the Society for Conservation Biology (SCB), will create a new network of prospective employers, faculty and professional societies over the next eighteen months with a $48,000 grant from the National Science Foundation (NSF). The Next Generation Careers – Innovation in Environmental Biology Education (NGC) incubator project will explore undergraduate college career progression into environmental biology, including fields such as ecology, evolution, conservation, and natural resource management.
“We all know that academia is able to absorb only a limited number of biology graduates. A vast majority of graduates find their way into industry, government, or other applied and non-science jobs,” said Teresa Mourad, ESA’s Director of Education and Diversity Programs and Principal Investigator for the project. “What is not clear is how Biology students are being prepared for these rapidly evolving career tracks in environmental biology with an innovative mindset.”
New groups of professionals will be brought together that include academic faculty, industry, government, and non-profit organization personnel. By working together, the network will develop materials, programs and career development tracks designed for 21st century STEM professionals in environmental biology and inform the broader community of the nature of education and skills that are necessary for future jobs in this ever-changing field. This project addresses the goals and programs of NSF’s Improving Undergraduate STEM Education initiative, particularly the goal of building the professional STEM workforce for tomorrow.
The incubator project activities include surveys of biology department chairs, academic counselors, graduate schools as well as biology faculty and those at the nexus of biology and mathematics. Additionally, an analysis of job postings for entry-level positions in related jobs will seek to identify the most commonly sought skills for graduates with an associate’s or bachelor’s degree. Focus groups at selected disciplinary and professional scientific society meetings will also be organized to gather input.
The results will be presented at a workshop of participants from academia, private sector, government, and non-governmental organizations in the fall of 2016. Implications of the findings for underrepresented populations of students will be underscored.
“Recommendations generated at the workshop will help us establish the network of prospective employers, higher education and professional associations essential to invigorate career preparation programs,” said Geri Unger, SCB’s Executive Director and co-PI on the project. “This will enable us to identify what faculty need to effectively inspire, motivate and mentor new students and build new synergies across sectors to advance Next Generation careers in Environmental Biology and allied fields.”
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen’s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.
Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
About the Author:
Gregg Hartvigsen is a professor in the Department of Biology at the State University of New York at Geneseo. He taught a workshop on network analysis using R at the National Institute for Mathematical and Biological Synthesis at the University of Tennessee, Knoxville, and was a visiting scientist and site reviewer for the Mathematical Biosciences Institute at Ohio State University. He also served as co-PI on a National Science Foundation training grant for undergraduate biology and mathematics.
Journal Home Page please visit the home page for the latest issue of Natural Resource Modeling online and look out in future for a special issue containing papers presented at the 2015 World Conference on Natural Resource Modeling recently held in Bordeaux, France.