Graduate Student Career Workshops

March 30, 2017—Melanie Sinche

2:30PM-4PM

Student Union Room 304B

Next GenPhD: Where PhDs Land and How to Get There How can you maximize your time in graduate school and/or during postdoctoral training?  What strategies can you use for landing a satisfying occupation?  This presentation will provide an up-to-date assessment of the current career landscape facing science PhDs. Author Melanie Sinche will share proven strategies based on her research and profiles of science PhDs across a wide range of disciplines. Her research identified transferable skills from PhDs and career paths in a range of options, including education, industry, and non-profits.

April 27, 2017—Cynthia Fhurmann

2:30PM-4:30PM

Student Union Room 304B

The Individual Development Plan:  Strategically navigate your scientific career Navigating toward your future can be daunting.  Regardless of the career path(s) you are pursuing, today’s scientist faces a competitive job market that rewards productivity in the lab, stellar communication skills, a strong professional network, and professional confidence.  Creating an Individual Development Plan (IDP) is one way to help you strategically work toward these goals, advocate for yourself, and take advantage of lucky opportunities that might come along.  This workshop is designed to prepare scientists for creating their IDP, with practical strategies for evaluating career options, setting achievable goals, engaging mentors, and adapting to change as your plan progresses.   Taught by myIDP co-author Cynthia Fuhrmann, this interactive workshop will propel you toward the next step along your career trajectory.

For questions contact Victoria Blodgett (Victoria.blodgett@uconn.edu)

or see detailed information here

 

Attn: Graduate Assistants–Required Online Program due 5/5/17

Beginning this fall all graduate assistants at the University of Connecticut will be required to complete the Graduate Assistant Online Program for Teaching and Instruction. This 2-4 hour online training was designed to ensure that every graduate student who has or will hold a teaching position receives a foundation of educational pedagogy, instructional strategies, and assessment and evaluation guides.

Available on Husky-CT as “ 64 NEW SPRING 2017 GRADUATE STUDENTS,students have until May 5th, 2017 to complete the training. Students will receive reminders until they complete the training.

The training needs only to be completed once in a graduate student’s career, and the training will take between 2-4 hours to complete. Comprised of online videos, readings, and quizzes, the training is mandatory for all students with a graduate assistant contract. The training must be completed by May 5th, 2017. (Please click here for frequently asked questions.)

This training builds upon the information graduate students receive in their face-to-face orientations and supplements their training with critical information regarding support services and resources. Designed in collaboration with The Graduate School, the Center for Excellence in Teaching and Learning, and the Neag School of Education, the Graduate Assistant Program for Teaching and Instruction develops graduate students’ foundational knowledge and skills useful in their current and future teaching positions. Please feel free to contact me with any questions.

Data Incubator Fellowship for M.A. & Ph.D Students

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

  • New York City
  • San Francisco Bay Area
  • Seattle
  • Boston
  • Washington, DC.

Dates: All sections will be from 2017-06-19 to 2017-08-11.

Application Link: https://www.thedataincubator.com/fellowship.html?ch=rec&ref=r0988b23042aa

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.

Outstanding Senior Women Academic Achievement Awards 2017

The Provost’s Office, UConn Alumni, and the Women’s Center annually sponsor the Outstanding Senior Women Academic Achievement Awards Ceremony, which recognizes women undergraduate and graduate students who have excelled academically within each school/college and demonstrated high achievement in research and service to the University community.  A reception will be held in their honor during graduation weekend.

All graduate student nominations for students outside of Social Work, Law, Medicine, and Dental Medicine should be submitted at https://www.surveymonkey.com/r/GradSchool2017  Dr. Holsinger will select the recipient from the Graduate School in consultation with a faculty committee.

SUBMISSIONS ARE DUE BY MARCH 17, 2017

Eligible students are limited to those graduating in summer 2016, fall 2016, or spring 2017.

The awards ceremony will take place on Friday, May 5, 2017 from 4:30-6:30 p.m. at UConn Alumni at 2384 Alumni Drive on the Storrs Campus.

Thank you for your cooperation.  If you have any questions, please call Kathleen Holgerson at 860-486-4738.

Spring Workshops in R

Spring Workshops in R

Hosted by Henry Wolf VII

Wednesdays, March 22 & March 29

1pm-3pm

Arjona 307

 

The first workshop will focus on dplyr, a toolbox for cleaning, reorganizing, and summarizing your data.

The second workshop will focus on ggplot2, a toolbox for creating professional, publication-quality visualizations of your cleaned data.

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Dealing with Data in dplyr

This tutorial on R will cover the use of the dplyr package for cleaning and manipulating data. We will learn how to extract rows and columns that meet certain criteria, create new columns from existing data, join data frames, and get summary information. We will take messy data and get in into a format that can be used for statistical analysis (or visualization).

Getting Good at ggplot2

This tutorial on R will cover the use of the ggplot2 package for creating visualizations from data. We will learn the graphics of grammar, how to build visualizations (histograms, scatterplots, etc.) by specifying how they should look. We will take clean data and create visualizations that are on par with those in publications and on FiveThirtyEight.

*Important Note: For either of the tutorials: Be sure to have the latest version of R and R Studio installed, and bring some of your own data if you would like to try some of these techniques. If you have never programmed or used R before, please complete the free Introduction to R web tutorial from Data Camp.

Psychological First Aid and Disaster Mental Health Training

DATE: Friday, March 10th

Location: Alumni House – UConn Storrs Campus

RSVP: By March 8th to Annadell Jaczynski: Annadell Jaczynski. Please register for one or both sessions. New participants encouraged to attend full-day.

Trainers:

Kathryn S. Dean, MSSW, Coordinator, CT-Disaster Behavioral Health Response Network, Department of Psychiatry – UConn Health

Jeffrey Montague, M.Div., Director of Integrated Health & Wellness, Southeastern Mental Health Authority

Sessions:

Session 1: 9:30 a.m. – 12:00: Fostering Resilience and Recovery: Behavioral Health Services following Mass Casualty Tragedies (Appropriate for those with no training, or review for those with a previous training in Psychological First Aid)

During this session participants will be introduced to “Disaster Mental Health 101” and to the consensus based model for lending psycho-social support to survivors, witnesses, family members and responders following a mass casualty/fatality tragedy, “Psychological First Aid (PFA)”

Session 2: 1:00 p.m. – 3:30 p.m.  Practicing the Core Actions of Psychological First Aid and then Considering Self-Care: Scenario-informed Conversations: (Appropriate for those who have participated in the morning session or those with previous Psychological First Aid Training)

During this session the eight core actions of Psychological First Aid will be reviewed, after which the participants will be use post-tragedy scenarios created specifically for a campus community context in order to practice applying the essential elements of the PFA core actions in “play” with each other.  In addition, healthy self-care will be addressed, and participants will use post-tragedy scenarios to consider/practice good self-care when fulfilling a response role.

Graduate Course Being Offered in FA 2017

Seminar in Data Science 

Course Registration Information
EPSY 6194, Section 010
Thursdays from 4-7pm
 Instructor: Dr. D. Betsy McCoach 

Data Science has grown from a buzzword to a burgeoning field in the past decade. Data scientists must be able to harvest, tame, and manipulate data as well as to ask and answer important questions of interest through data analysis, and they must be able to communicate their results to a variety of audiences, both verbally and visually.  As such, data science involves a combination of computer programming, analytic, creative and critical thinking, and communications skills.  In this graduate seminar in data science, we will explore the new interdisciplinary field of data science.  This course is meant as an introduction to data science for graduate students who have already taken basic coursework in quantitative research methods and/or statistics.  The focus of this course is practical and applied.  Students will learn some basic programming skills (in Python, Stata, and R), and will learn to gather, store, manipulate, analyze, and communicate data to answer research questions and solve problems.

If you have any questions regarding this course please contact the instructor, betsy.mccoach@uconn.edu.

APF/COGDOP Graduate Research Scholarships in Psychology

The American Psychological Foundation (APF) and the Council of Graduate Departments of Psychology (COGDOP) are jointly offering 22 graduate research scholarships ranging from $1,000-$5,000.

The purpose of the scholarship program is to assist graduate students of psychology with research costs associated with the master’s thesis or doctoral dissertation. The American Psychological Association Science Directorate administers the granting of the scholarships. Graduate students enrolled in a doctoral program or an interim master’s programs are eligible to apply. If a student is currently enrolled in a terminal master’s program, the student must intend to enroll in a PhD program immediately following completion of the master’s program. Special attention will be given to applications from students who, at the time of application, are within the first two years of graduate study in psychology.

Deadline: June 30, 2017

For more information on scholarship details and how to apply click here.