Fall Data Science Fellowship Opportunity – R1

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
  • Boston
  • Washington, DC.

Dates: All sections will be from 2018-09-10 to 2018-11-02.

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.

Graduate Course Offering for Fall ’18: AFRA 5100

The Africana Studies Institute is offering  its first graduate course for the Fall 2018 semester. If there are any questions about the course, please contact the Africana Studies Institute’s director, Dr. Melina Pappademos (melina.pappademos@uconn.edu )

AFRA 5100 

Impacts of Race on Health Equity and Medical Research and Practice 

Mondays 4:00 – 6:30 pm

Location: Hartford Campus HTB 208 (Hartford Times Building-10 Prospect St. in Hartford) 



 Dr. Melina Pappademos

Dr. V. Bede Agocha

Dr. Cato T. Laurencin

Dr. David G. Embrick


Racism has central importance to the health status of non-whites in the United States. Indeed, strong evidence reveals the proliferation of racial and ethnic health disparities, NOT limited to access-related issues. Rather, a major factor contributing to health disparities in vulnerable populations is racial discrimination of healthcare providers. In turn, leading researchers from multiple fields of inquiry believe that confronting racism in medicine is of crucial importance to improvement of the health outcomes of vulnerable populations.


See flyer here: AFRA 5100 Fall 2018_final

Want to Learn R this Summer?

Two day R Workshop- June 21-22, 2018


Are you curious about using R for data analysis? Have you been thinking about making the switch to R, but don’t know where to start? This two-day workshop is the perfect quick start guide to analyzing your data with R. We will cover the fundamentals of data analysis in R with a special focus on translating your existing knowledge and skills from other software (e.g., SPSS) into R. The first day will introduce participants to the RStudio software and cover data management, descriptive statistics, and data exploration including graphical displays. Day 2 will cover familiar statistical analysis procedures including, but not limited to reliability tests, t-tests, chi-square tests, ANOVA, and linear regression. You will have time to work with your own data with the instructor present and optional homework will be provided.


This two-day workshop on Introduction to Data Analysis in R will be held at the University of Connecticut from TThursday, June 21, through Friday, June 22, 2018. The workshop focuses on converting your knowledge of data analysis in another software program—for example, SPSS—to R. All analyses, including data cleaning and visualization, will be done in R via the RStudio graphical interface. RStudio is rapidly becoming popular in many fields, mainly because it is free and therefore widely accessible. This feature makes it particularly helpful for teaching statistics because students will have access to the software at all times, and thus, will not need to go to a computing lab to complete assignments. No prior familiarity with R is required, we will be starting from the very beginning.

The goal of this workshop is to develop proficiency in R for data preparation and preliminary data analysis. We will build confidence in importing data from different sources into RStudio and getting that data ready for any advanced technique you might then employ. Among the topics to be covered are intro to the RStudio environment, packages, and RMarkdown, data manipulation, data visualization, correlations, reliability tests, basic inference tests, ANOVA, linear regression, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and more. Instruction on the specific statistics and statistical models will be minimal to zero. It is assumed that you already know how to do these analyses, but you want to see how to do them in R. If time permits, more instruction of the less well-known topics (e.g., EFA and CFA) will be given. See the schedule below for a complete list of topics.

Routines for completing specific data tasks, for example, filtering your data, live inside of R packages. In this workshop, you will be introduced to a set of packages which together are referred to as the tidyverse. They were written by the Chief Data Scientist for RStudio, Hadley Wickham, and there are even built in cheatsheets for these packages in RStudio. The tidyverse is rapidly gaining popularity due its ease of use, streamlined syntax, and powerful applications. Further, support is easily found for these packages in online community forums such as Stackoverflow. The open source computing nature of R offers both opportunities and challenges. There are currently over 10,000 packages freely available for you to use in R—many of which were written to do the exact same tasks! This overabundance of options for analyzing your data can feel like a bottomless pit, but learning the tidyverse offers a bounded experience for working with data in R.

Another important feature of this workshop is that we will use using RMarkdown for all analyses. RMarkdown is a file type, similar to an SPSS syntax file or R script, but it integrates code with written text. In this workshop you will be given all analysis code as RMarkdown files, complete with detailed text explanations, to which you can add your own notes for later. The main benefit of RMarkdown is that, ideally, writing about your analyses can now be seamlessly integrated with the code for your analyses. Further, entire APA style research reports can be written in RMarkdown where the numerical information is automatically generated within the text. Thus, RMarkdown allows for a fully reproducibility research report. On Day 2 of the workshop, some instruction will be given on how to write research reports using RMarkdown.

Participants are encouraged, but not required, to bring their own data so that they can apply these new R skills to their own data. There will be time at the end of each day to work with your own data while the instructor is present for questions/individual meetings. If you are attending a week-long DATIC workshop, it might also be good idea to bring two datasets, 1) a dataset you know very well—to convince yourself that R is doing what you expect, and 2) a dataset that you are preparing for one of the other DATIC workshops: Multilevel Modeling with R or Dyadic Data Analysis with R.

For more information, or to register, go to http://www.datic.uconn.edu

For more information, contact: Betsy at betsy@uconn.edu

Mixture Modeling in R Workshop

There are still seats available for a three day course on mixture modeling, June 4-6, 2018. UCONN faculty and students may register for the course at a substantial discount. The cost of the three day workshop is $400 for UCONN students, postdocs, and faculty-  use the promo code UCONN when you register.  To register, go to https://www.regonline.com/builder/site/Default.aspx?EventID=2093191 . For more information about DATIC workshops, go to www.datic.uconn.edu

Mixture Modeling (in R) 

Eric Loken

This 3-day mixture modeling workshop will survey techniques for exploring heterogeneous latent structure in data. We will begin by defining a variety of mixture models. The main focus will be on latent class analysis (LCA) and latent profile analysis (LPA), with applications in health and education. Additional models will include mixture regression models, mixture IRT, k-means clustering, and growth mixture models for longitudinal data. The course will emphasize hands-on work by participants, who will also be encouraged to make connections to their own data, learning to execute many of these models in R. Particular attention will be paid to issues that arise in applied settings including model assumptions, parameter estimation, and interpretation.

Science Communication Workshop Tuesday

The Graduate Organization: Molecular and Cell Biology (GO:MCB) is hosting a science communication workshop with Dr. Christine O’Connell.

Dr. O’Connell is is an Associate Director of the Alan Alda Center for Communicating Science, an Associate Professor of Science Communication at Stony Brook University, and a world-renowned leader in teaching science communication.

Join us for an interactive skill-building session where Dr. O’Connell will teach us how to engage non-scientific audiences with empathy and clarity.

When: Tuesday, May 22nd, 2:00 – 3:00 PM

Where: Biology/Physics Building, Room 130

Open to all students and faculty. Refreshments will be served.

For more information, contact: Andrea Suria at andrea.suria@uconn.edu

Autism Diagnostic Observation Schedule, 2nd Ed (ADOS-2) Training


Learn how to administer the ADOS-2! The Autism Diagnostic Observation Schedule, 2nd Edition, (ADOS-2) is the revision of the original ADOS which was already considered the “the gold standard for assessing autism spectrum disorders (ASD). This 2-day training will teach you how to use the ADOS-2 to assess and diagnose autism. Dr. Elisabeth Sheridan, the Clinical director of the Center for Autism and the Developing Brain (CADB), part of New York-Presbyterian, will lead the two-day training. She will describe the ADOS-2 and demonstrate administration and scoring, operationalizing diagnostic criteria for ASD. You’ll also have the opportunity to practice scoring while observing the instructor administer the ADOS-2 to a child with ASD. All clinicians welcome (OT, PT, SLP, BCBA, Psych’s, SW, etc.) Continental breakfast and lunch will be served.

Date and Time

Thu, Jun 21, 2018, 8:00 AM – Fri, Jun 22, 2018, 4:30 PM EDT


City Pro Group

2105 Jerome Avenue

Bronx, NY 10454

More details and registration here: https://www.eventbrite.com/e/2-day-ados-2-training-tickets-45663972170?aff=ehomecard

CBER Graduate Student Symposium

The Center for Behavioral and Education Research (CBER) would like to invite graduate students from Department of Psychological Sciences to join us for our CBER Graduate Student Symposium. The event will include an early-career researcher panel and a poster session featuring student research. It will be an informative panel for students who consider academia after graduation as well as a great opportunity for networking with students across fields. There will also be free continental breakfast and a full lunch!

Event: CBER Graduate Student Symposium
Time: Thursday, May 10, 2018 9 a.m. – 2 p.m.
Location: UConn Storrs campus Gentry Building, Room 144/142

Please consider checking out this link here and registering for this event by May 3rd as we would need to place the ordering for catering.

ANTH 5341 Analysis of Rituals

WHEN: WED, 4.00AM – 6.30PM

WHERE: 446 Beach Hall

WHO: Dr. Dimitris Xygalatas e-mail: xygalatas@uconn.edu

This seminar examines various theoretical contributions to the anthropological study of ritual. We will explore the controversies and the ambiguities that surround the social and symbolic significance of the ritual act. We will go through a variety of examples and case studies of ritual practices from cultures around the world. We will discuss classical anthropological perspectives, and will relate them to recent empirical research, including ethnographic and experimental work from across the social sciences. Some of the main questions we will address include: Why do people perform rituals? What functions do rituals serve for individuals and for the societies they are part of? What messages do rituals transmit? How are rituals intelligible to their participants? How is participation in rituals used to assess and negotiate various forms of power and status? And what is ritual anyway? Examining such questions will help us increase our understanding of one the most puzzling aspects of human behavior.

Doctoral Dissertation Fellowship Fall 2018

Funding has been made available to support a limited number of graduate students for the Doctoral Dissertation Fellowship. Please note that fellowship funds are NOT guaranteed to any student who applies for the award. The fellowship is awarded in the amount of $ 2,000 to each eligible applicant.

To be eligible for the fellowship, an applicant must:

  1. Certify that he/she has never before been awarded the University of Connecticut Doctoral Dissertation Fellowship.
  2. Certify that he/she will be enrolled for the fall 2018 semester at The Graduate School.
  3. Certify that his/her total personal income will not exceed $35,000 during the twelve-month period of July 1, 2018 to June 30, 2019.
  4. Document satisfactory completion and approval of the General Examination prior to 4:00 pm on May 31, 2018.
  5. Document satisfactory completion and submission of the Dissertation Proposal, including full and current IRB or IACUC approval, prior to 4:00 pm on May 31, 2018.

Applications will be accepted from 9:00 am on Tuesday, May 1, 2018 until 4:00 pm on Thursday, May 31, 2018. Applications received prior to May 1, 2018 or after May 31, 2018 will not be considered. To apply please fill out the online application form by clicking here. Notifications will be e-mailed to each applicant by the end of June 2018.

This fellowship can only be awarded to an individual once. Doctoral students based at UConn Health and UConn Law School are not eligible to apply.

For more information, contact: The Graduate School at gradschool@uconn.edu