Quick guide to syntax and functions in R Markdown.

A collection of articles to help in the use of R Markdown.

About the RAY Fellowship

Inspired by efforts to increase racial diversity in conservation, the Roger Arliner Young (RAY) Conservation Diversity Fellowship aims to increase and facilitate conservation-related career pathways for emerging leaders of color. The RAY Fellowship is a paid fellowship designed to equip recent college graduates with the tools, experiences, support, and community they need to become leaders in the conservation sector—one that, in our visions of the future, fully represents, includes, and is lead by the diverse communities, perspectives, and experiences of the United States.

The RAY Fellowship provides first-time career access opportunities for recent college graduates who do not have previous professional experience or a graduate degree. RAY Fellows are placed within one of our Member Organizations for a year-long paid fellowship position, with the resources and support to develop experiences that will launch them onto a path of career growth in conservation. Fellows work with mentors, grow their networks, and forge lasting relationships with their cohort of Fellows. RAY Fellowship positions are full-time paid positions with competitive entry-level salaries plus benefits. Fellows will also receive a stipend of $1,000 to go towards professional development opportunities, in addition to coordinated professional development through RAY Member Organizations and the Environmental Leadership Program.

Eligibility & How to Apply

Eligible applicants will:

• Come from a racial / ethnic background underrepresented in conservation and demonstrate a commitment to the values of diversity, equity, and inclusion
• Be less than 2 years out of college and have a Bachelor's Degree by July 2019 (we are not considering individuals with graduate degrees at this time) 
• Have not had a full-time job in conservation 
• Have the ability to work in the United States and commit to the entire fellowship

Applications for the 2019 cycle are open and descriptions of Fellowship positions will be added on a rolling basis. Completed applications should include a CV or resume, a letter of support, two essays, and a short answer response. Visit our website at http://www.rayconservationfellows.org for application instructions and deadlines.

Informational Webinars

Applicants may join one of our upcoming informational webinar series to ask questions, learn more about the application process, and hear from a current RAY Fellow. Registration links, webinar dates and times, and featured Fellows can be found here on our website: https://rayconservationfellows.org/informational-webinars-applicants. 

For more information please contact Jordan Williams, Program Manager, RAY Conservation Diversity Fellowship at jordan@elpnet.org / (617) 942-0585.

Data for Black Lives is seeking an enthusiastic, independent and dynamic professional to serve as our Operations Manager. The ideal candidate will have experience creating and maintaining systems, will be organized and detail oriented, and have a shared commitment to our mission. The Operations Manager will be an integral part of the team providing short and long-term strategic vision that supports our maximum effectiveness, efficiency, financial and organizational sustainability.

For more information, or to apply, submit a short statement of interest and a resume that highlights your experiences most relevant to the role: info@d4bl.org with subject “Operations Manager.”
 

Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017) <doi:10.1201/b10345-2>.

A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research.

Indices, heuristics and strategies to help determine the number of factors/components to retain: 1. Acceleration factor (af with or without Parallel Analysis); 2. Optimal Coordinates (noc with or without Parallel Analysis); 3. Parallel analysis (components, factors and bootstrap); 4. lambda > mean(lambda) (Kaiser, CFA and related); 5. Cattell-Nelson-Gorsuch (CNG); 6. Zoski and Jurs multiple regression (b, t and p); 7. Zoski and Jurs standard error of the regression coeffcient (sescree); 8. Nelson R2; 9. Bartlett khi-2; 10. Anderson khi-2; 11. Lawley khi-2 and 12. Bentler-Yuan khi-2.

WiMLDS is a 501(c)(3) organization. Its mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. They create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning, as well as hosting technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background.

Presented by DataCamp, with guest speaker, Brandeis Marshall.

A collection of articles to help in the use of R Markdown.

Quick guide to syntax and functions in R Markdown.

The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

August 4 - 8, 2019
Anchorage, Alaska USA
Dena’ina Convention Center and William Egan Convention Center

The Earth observation for Sustainable Ecosystem and Livelihood group (http://www.ceoe.udel.edu/our-people/profiles/mondalp) at the University of Delaware is seeking a MS student interested in environmental remote sensing to join the MSDS program in Fall 2019. Funding is available through an NSF EPSCoR grant awarded to an interdisciplinary team of researchers examining water in the changing coastal environment in Delaware (http://projectwicced.org/). 

The MS position with a Research Assistantship (RA) provides a competitive stipend of $22,000, a tuition waiver, and subsidized health insurance. The student will work under the direct supervision of Dr. Pinki Mondal (mondalp@udel.edu), and will interact with EPSCoR WiCCED project members and collaborators at the Center for Environmental Monitoring & Analysis (http://cema.udel.edu/). 

The ideal candidate would have a major in any of mathematics, applied mathematics, statistics, computer science or engineering, environmental engineering, or any other field of engineering. For the MSDS program degree requirements, please visit: https://www.msds.udel.edu/curriculum. A strong candidate is either familiar with or interested in geospatial (remote sensing/GIS) applications in environmental sciences. Prior experience in Google Earth Engine (GEE) is a plus, but not mandatory. We are looking for a candidate who has (i) outstanding quantitative skills, (ii) an interest in interdisciplinary research, and (iii) good oral communication and writing skills. The ideal candidate also has attention to detail and willingness and ability to follow instructions carefully and work independently.

Specific RA responsibilities will include (but are not limited to): (1) processing and interpreting time-series of satellite images for Delaware, (2) collecting and analyzing field-level data, (3) assisting investigators with other research-related project activities, and (4) presenting findings at scientific meeting and submitting journal articles. While the RA will assist with the project objectives, he/she will be encouraged to develop his/her own thesis research questions to pursue within the context of the broader project.

Interested applicants should send a brief letter of interest, unofficial transcript, and a copy of their CV (including GPA and GRE scores) via email to Dr. Pinki Mondal (mondalp@udel.edu) by February 22 prior to formally applying to UD Graduate School. Women and underrepresented minorities are strongly encouraged to apply.