Please see the information below for the 6th Annual Cal Poly Analytics Forum.
The student speaker, Melissa Melton, is a Statistics Alum!
There will be other opportunities for those interested in Business Analytics.
Cal Poly Statistics Student Opportunities
Friday, February 24, 2023
Thursday, February 23, 2023
Virtual Symposium: "Empower Clinical Development by Harnessing Data from Diverse Sources"
Announcement for DISS2023
Dear Staff & Students,
We are happy to announce the Duke-Industry Statistics Symposium (DISS), which will be held virtually March 29-31, 2023 with the theme “Empower Clinical Development by Harnessing Data from Diverse Sources”.
Clinical development commonly incorporates qualitative information outside of clinical trial settings in treatment evaluations and clinical assessments. Such qualitative information includes prior clinical experience and expert opinions. More recently, new study designs and methods that allow systematically harnessing information from diverse sources of external data, have been proposed. Leveraging external data sources, from historical trials in similar patient populations or with same class treatments to real-world data and real-world evidence, is expected to drastically improve the efficiency of clinical developments.
For information about the program schedule, including short courses, speakers, talk abstracts, poster submission, and registration, please visit the DISS2023 Website. The first day of the virtual symposium will be devoted to short courses. The following day and a half will consist of keynote speeches, parallel sessions, and poster lightning talk sessions. Dr. John Concato, the Associate Director for Real-World Evidence Analytics in the Office of Medical Policy, FDA/CDER, will give
a keynote speech on Regulatory Perspectives on Real-World Data on March 30. Dr. Demissie Alemayehu, the Vice President of Pfizer Biostatistics, will give the second keynote speech on March 31 on Enhancing Generalizability of Clinical Trial Results through Use of Real-World Evidence and Digital Solutions to Improve Enrollment Diversity.
The virtual symposium will be free for undergraduate and graduate students with majors in statistics, biostatistics, and data sciences. Students should email Judy Adkins at judy.adkins@duke.edu with their viable credentials to request a student promo code. We are encouraging poster submissions for the symposium. The poster lightning talk sessions offer a great opportunity for graduate students or young researchers to share their research work. The poster can be any topic that involves the use of quantitative methods in pharmaceutical developments.
DISS2023 Poster Lightning Talk Session
The DISS2023 is pleased to invite submissions for poster lightning talks and poster award competitions. The poster lightning talk session provides an excellent opportunity to allow the presenters to introduce their work and have virtual interactions with the audience. Topics that involve the use of quantitative methods in pharmaceutical developments are preferred. Posters that have been presented before at other conferences are acceptable.
1. An electronic version poster or slides with less than 10 pages are both accepted formats.
2. All posters or slides will be uploaded to conference website one week before the conference.
3. Virtual poster lightning talk session is 12:00-1:30pm on March 30, 2023. Each presenter has 5 minutes to pitch their project.
4. Virtual interaction time will be arranged for presenters and audience right after the session.
Poster Submission
The deadline to submit a e-poster/slides is March 15, 2023 5:00pm to ensure your poster is available online for download before the conference and be considered for award. To submit, please send your poster with subject line “Poster submission for DISS2023” to both Dr. Hwanhee Hong at hwanhee.hong@duke.edu and Dr. Marlina Nasution at marlina.nasution@parexel.com
Poster Awards
Any poster or slides that is submitted by March 15, 2023 5:00pm will be considered for poster awards. Posters will be evaluated by the poster committee based on its scientific merit and presentation. One to two poster award winners will be selected and will be announced at the keynote session on Friday March 31, 2023. Each winner will receive a prize and an award certificate.
Wednesday, February 15, 2023
Applications Now Being Accepted: 2023 Panetta Institute Congressional Internship Program
Please see opportunity below:
On behalf of Provost Cynthia Jackson-Elmoore, we are sharing that applications are now being accepted for the 2023 Panetta Institute Congressional Internship Program. In its 25th year, this prestigious program is designed to encourage and develop future leaders as well as prepare individuals for greater civic involvement. Cal Poly has been participating in this program since 2001. Past interns consistently agree this internship was a meaningful experience.
This Learn by Doing opportunity is open to qualified students (matriculating third or fourth year, junior and senior student)s from ANY major who have an interest in Congress, civil leadership or public service and is fully funded.
More information on the opportunity, including recordings of previous interns' information sessions, programs requirements, and application details, is available at https://provost.calpoly.edu/content/internship.
The application deadline is 5:00 pm, Friday, February 27, 2023.
[NExT] UVA Bridge Program
Please see program opportunity below:
We invite applications to the Bridge to the Doctorate program at the University of Virginia, which is a two-year long program of courses, mentoring, and research intended for talented and motivated students from underserved communities. The program provides personalized training to help students on their path to pursuing careers in the mathematical sciences.
The application deadline is March 1. More information about the program can be found here (math department page):
and here (general UVA page):
Wednesday, February 1, 2023
Applications Now Open for Big Data Summer Institute 2023!
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Monday, January 30, 2023
Institute for Statistical and Data Science: Panel Data Methods and Causal Inference - 4 livestreaming seminars
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Institute for Statistical and
Data Science |
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Instats is dedicated to helping researchers tackle their
data-analytic challenges by providing hands-on training and expert consulting |
Featured Structured Course |
Instats is pleased to announce a series of 2-day seminars on panel data modeling and causal inference with difference-in-differences (DiD) methods. These are being offered in collaboration with professors Jeffrey Wooldridge and Malvina Marchese in their four-part course Panel Data Modeling: From Static Models to DiD Estimation and Causal Inference using Stata. The first two seminars cover basic and advanced panel data methods by professor Marchese: Panel Data Models and Methods in Stata (Feb 16 - 17) and Advanced Panel Data Modeling with Stata (Mar 2 - 3), including the nonlinear case. Malvina is a great communicator and educator in this area, so don't miss out on this opportunity to learn about the most modern methods for analyzing panel data! The next seminars by professor Wooldridge introduce methods for causal inference, and then synthesize this with panel data models by covering DiD methods: Causal Inference with Cross-Sectional Data (Mar 22 - 23) and Difference-in-Differences (DiD) Methods with Panel Data (April 5 - 6), including recent cutting-edge applications. As many of you may know, Jeff is one of the best known and most cited econometricians, so it is a real treat to be able to host his seminars — and he’s agreed to stay on the Zoom sessions at the end of each day to continue chatting if you’d like! By registering for this four-part course, you will gain a comprehensive understanding of panel data modeling, alongside methods for causal inference with cross-sectional and panel data. Registering for all 4 seminars also provides a 10% discount, which is in addition to the very affordable pricing that Instats already offers — especially for PhD students. Please get in touch with any questions including group discounts with 5 or more, and please tell your colleagues, students, and friends about this once in a lifetime opportunity to learn directly from these experts! |
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Structured courses are sets of seminars that offer comprehensive coverage for a range of analysis methods and software, with a 10% discount applied to each seminar in the series. Seminar's can also be registered for separately. |
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Upcoming Live-Streaming Seminars |
Live-streaming seminars are delivered over 2 days and include interactive tutorials, discussion, and activities. To enable asynchronous learning, recordings of all sessions and instructor support are available for 30 days. |
February 6, 7 & 8 Instructor: Dr Jonas Lang Business School, University of Exeter and Journal of Applied Psychology The hands-on course teaches basic and intermediate multilevel techniques used in the social and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graphical methods to examine model assumptions, and (4) useful extensions of the standard model to test phenomena such as cross-classified multilevel models and consensus emergence in groups. When purchasing the seminar you will be freely enrolled in an on-demand seminar on multilevel SEM in Mplus by Professor Zyphur, helping you to extend your multilevel learning and offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points. |
February 8, 9 & 10 Instructor: Dr Mike Cheung Department of Psychology, National University of Singapore This seminar introduces the basic theory of meta-analytic structural equation modeling (MASEM) and illustrates how to conduct the analyses with R. Meta-analytic structural equation modeling (MASEM) is an incredibly powerful tool for hypothesis and theory testing, relying on pooled correlation matrices from primary studies, and this seminar will teach you the basics of MASEM and how to apply it in your own research, using many hands-on examples with Professor Cheung's R package for MASEM. When purchasing the MASEM seminar you will be freely enrolled in two on-demand seminars that introduce the logic of path analysis and CFA/SEM in R by Professor Zyphur, offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points. |
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Thursday, January 26, 2023
Internship Opportunity: Nevada National Security Site (NNSS) Undergraduate Science Internship (Associate in Science - Levels I - IV)
Nevada National Security Site (NNSS)
Undergraduate Science Internship (Associate in Science - Levels I - IV)
Undergraduate Science Interns will work under the direct supervision of a manager & mentor and will be provided with hands-on participation in ongoing projects at one of the most unique experimental sites in the United States, or one of our outlying location sites.
Duties and Responsibilities (may include and will vary depending on which department you are assigned to):
- Build programming code/scripts to computationally process image and/or signal data, e.g. in Python, Matlab, or R. Knowledge of image/signal processing techniques is desired.
- Create and give presentations on both project and progress to teammates and management.
- Contribute towards professional reports and papers.
- Potential for participating in hands-on data acquisition activities depending on project.
- Participate on small teams of scientists, engineers, and technicians, to devise technical solutions and provide deliverables to customers.
- Perform hands-on work on optical, mechanical, and/or electrical systems including data acquisition and system and/or subsystem fabrication.
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