That's a wrap! Thanks for attending the 2023 UPSTAT Conference
Please join me in Congratulating our deserving winners of the student awards at the UPSTAT 2023 Conference.
Awards and Prizes
The UPSTAT 2023 Organizing Committee congratulates all the highly deserving winners of our conference various awards and distinctions
Posters
The winner of the students’ awards for Best Poster is Sergei Chuprov from the Rochester Institute of Technology.
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1st Place (Gold)
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Sergei Chuprov
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Rochester Institute of Technology
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2nd Place (Silver)
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Shaikh Akib Shahriyar
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Rochester Institute of Technology
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3rd Place (Bronze)
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Nate Matthews
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Rochester Institute of Technology
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Methods
The winner of the students’ awards for Best Methodology Paper is Cuong Pham from the University of Rochester.
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1st Place (Gold)
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Cuong Pham
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University of Rochester
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2nd Place (Silver)
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Joseph Martino
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Niagara University
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3rd Place (Bronze)
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Anran Liu
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University at Buffalo
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Applications
The winner of the students’ awards for Best Applications Paper is Le Nguyen from the Rochester Institute of Technology.
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1st Place (Gold)
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Le Nguyem
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Rochester Institute of Technology
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2nd Place (Silver)
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Prasanna Ponfilio Rodrigues
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Rochester Institute of Technology
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3rd Place (Bronze)
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Kameron Kinast
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Rochester Institute of Technology
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Honorable Mention
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Raktim Mukhopadhyay
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University at Buffalo
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Congratulations to all our winners!
I eagerly look forward to seeing all of you next year at UPSTAT 2024!
Location, Dates & Schedule
Location: RIT Campus
Dates: April 21-22, 2023
Friday, 4/21
- Welcome 3:30-4:00 pm
- Tutorials and Short Courses (Parallel) from 4:00-6:00 pm
- Panel Discussion 6:30-8:00pm
- Cocktail Hour + Dinner + Poster Session, 8:00-9:30 pm (Posters displayed to be assessed)
Saturday, 4/22
- Welcome and Breakfast 8:30-9:00 am
- Parallel Talks - 1 from 9:00-9:50 am
- Parallel Talks - 2 from 10:00-10:50 am
- Parallel Talks - 3 from 11:00-11:50 am
- Lunch 12-1pm (Posters displayed and visible for assessment)
- Keynote Lecture from 1:15-2:15 pm
- Parallel Talks - 4 from 2:30-3:30 pm
- Data Competition Presentation, 3:30-4:00 pm
- Break and Assessment by judges from 4:00-4:30 pm
- Awards & Closing Remarks, 4:30-5pm
View the Full Schedule and Session / Tutorial Information
Registration & Fees
- $80 non-member two-day ticket
- $40 ASA member two-day ticket
- $25 student, AP Stats Teacher and 2YC instructor two-day ticket
- Free student presenter ticket
TWO-DAY TICKETS: Include Friday and Saturday with breakfast and lunch
$50 for Friday dinner
Register Now
https://www.eventbrite.com/e/upstat-2023-tickets-577814698317
Sponsors
Become a Sponsor - The UPSTAT Conference series team is forever grateful to all the generous sponsors who have support the conference over the years. It’s extremely hard and newly impossible to properly run a high quality conference without the highly appreciated support of our sponsors. Learn more about becoming a sponsor.
Tutorials
In addition to the offered parallel talks and poster sessions, several tutorials will be given during Upstat 2023:
- Basic Intro to R and python libraries for Data Science (Gregory Babbitt)
- Introduction to Natural Language Processing (Le Nguyen)
- Community Detection in Complex Networks (Nishant Malick)
Read more about these tutorials on the Schedule / Tutorials Page
Parallel Talk / Poster Abstract Submission
We welcome contributions on all aspects of statistics and large language models, including but not limited to:
- Natural Language Processing and Understanding
- Machine Learning with Large Language Models
- Ethics, Bias, and Fairness in Large Language Models
- Large Language Models and the Future of Data Analytics
- Large Language Models in Industry and Applications
- Statistical Inference with Large Language Models
- Large Language Models and the Future of Higher Education
- Advancements and Limitations in Large Language Models
- Novel Techniques and Approaches to Working with Large Language Models
Please note that submissions do NOT need to be in the area of the theme of the conference. We strongly encourage submissions from all areas of statistics, data science and artificial intelligence. Presentations featuring both published and unpublished work are welcome!
Abstract submissions are due Friday April 14th at 5pm with rolling acceptances up through Monday April 17th. Accepted non-student presenters are required to purchase a ticket and student presenters will receive a promo code to get their ticket for free.
We will also host a panel discussion on "Beyond the Hype: Navigating the Opportunities and Challenges of Large Language Models in Statistics, Education, and Industry" featuring experts from diverse backgrounds in statistics, computer science, linguistics, biology, and mathematics. In addition, we will offer a tutorial on working with the GPT-3 dataset and a short course on the fundamentals of natural language processing!
As always, we strongly encourage undergraduate and graduate students to register and participate actively through posters, oral presentations, and organization of sessions. In particular, students are encouraged to register a team of 3 to 5 members. Once registered, your team will be sent information on the data set and have a deadline of Monday April 17th to submit their analysis materials. The Top 3 submissions will be invited to UPSTAT to present their work in competition for the first, second and third place rankings!
Parallel Talk/Poster Abstract Submission Form: https://forms.gle/iEzBz8NTn7pRS5Lh6
Team Data Analytics Competition
The UPSTAT 2023 conference features its signature data analytics competition aimed at further encouraging a more active participation from students at all levels, from the high school level all the way to the doctoral level. A team of at least three students and no more than five students may enter the competition by submitting their entry information which includes team name, school, and the names and e-mail addresses of the team members.
To be eligible for any of the UPSTAT awards, teams will be required to submit a report (maximum of 10 pages) on their results by April 21st, 2023, and must be present at the award ceremony to present their findings. See more about the prizes and awards below.
Dates to Remember
- Registration Open ups on: April 16, 2023
- Duration of competition: April 16-21, 2023
- Deadline to receive analysis and report: April 21, 2023 by 11:59pm
You have up to five days to analyze the data and showcase your superstar data scientist skills and futuristic teamwork wisdom via a compellingly appealing final report.
Data Analytics Competition Committee
- Ernest Fokoue (RIT) - epfeqa@rit.edu
- Gregory Babbitt (RIT) – gabsbi@rit.edu
Problem Statement and Full Details for Data Analytics Competition
Conference Committee
Organizing Committee
- Kathy Grzesik
- Trijya Singh
- Gregory Babbitt
- Nishant Malik
- Tony Wong
- Ernest Fokoue
Conference Program Chair
Awards Committee
Data Competition Committee
Financial Committee
Students Focus Committee
Publicity and Outreach Committee (OnSite, Online)
Web Committee
Catering Committee
History
Since its inception in 2012, the UP STAT conference series has uninterruptedly gathered the most eager practicing statisticians and data scientists of our beautiful upstate New York region every single year. Thanks to the remarkable and commendable commitment of statistical practitioners and faculty members along with their dedicated students from Rochester Institute of Technology, University of Rochester, St John Fisher College, Canisius College, SUNY Geneseo, SUNY Buffalo, SUNY Buffalo State, SUNY Fredonia, SUNY Binghamton, SUNY Oneonta, SUNY Oswego, SUNY Albany, Niagara University, Syracuse University, St Bonaventure College, SUNY Brockport, City University of New York (CUNY) and Cornell University. The conference has occasionally welcomed participants from as far as Carnegie Mellon University. The UP STAT conference series has become the annual gathering forum for all the statisticians and data scientists of upstate New York. With very little means, we have harnessed the talents of our volunteer organizing committee members to build the UP-STAT conference series into a very promising vehicle for cutting edge Statistical and Data Science education in our Upstate New York region.