Date: Saturday, March 11, 2023
The SIAM student chapters of Colorado are hosting their 19th annual regional student conference on applied mathematics for all schools along the Front Range. This event will allow students from different universities in the area to see what is being done in this field and promote interest in applied mathematics in general. This event is open to both undergraduates and graduate students.
Poster and Program
All speakers and conference attendees should fill out a short registration form so we can keep you updated on any changes.
This will be an in-person conference. Student speakers and attendees will attend in person on the CU Denver Auraria campus in the north classroom. Please find the directions here.
Parking at CUDenver:
Parking at CUDenver: If you are planning to drive to the CUDenver campus there are several options on where to park. The closest parking options to the Student Commons building are hourly metered street parking, the Spruce Lot, and the Tivoli Parking Garage. It is recommended to park in the Spruce lot for uncovered parking and Tivoli Parking Garage for covered parking. If you are not a registered member of the Auraria campus weekend parking rates will be in effect at all these Garages/Lots with significantly increased rates. Participants for this conference can get the registered vehicle rate of $7.25 by using a code that will be provided closer to the conference date at the pay station at the time of parking by selecting 'Validation' and entering the code, then proceeding with the normal payment process. This code cannot be used retroactively for a partial refund and must be used at the time of payment. This code can not be used at any meter spots, 7th street garage, or permit zones.
Government/industry panel discussion
Call for Presentations
All students (undergraduate and graduate) are invited to submit abstracts on any research topic in applied mathematics. Please submit your title and abstract as soon as possible, but no later than Friday, March 3, 2023. All titles and abstracts should be submitted to FRAMSC.firstname.lastname@example.org. For further direction on presentation format, see this page.
2023 SIAM Conference Keynote Speaker
Dr. Steve Sain
"Climate risk analytics and data science: Assessing risk in a changing climate"
There is a long history of research and development at the intersection of applied statistics, machine learning, and climate science that has led to improvements in our understanding of the Earth’s climate and how that climate is changing, advances in climate modeling and the use of climate model output, and assessments of the impacts of climate change. The study of the impacts of climate change has provided the foundation for the emerging area of climate risk analytics, and data science is playing a key role in quantifying the impact of a changing climate on perils such as flood, heat, and fire. In this talk, I will briefly discuss some background on data science and climate science and highlight some current research areas at their intersection. In addition, I’ll present an overview of climate risk analytics, focusing on research areas such as extremes, emulators, and downscaling. I’ll also provide some examples of how companies and other organizations are using climate risk analytics to help assess and manage climate change-related risk.
About the Speaker
Steve Sain is a Senior Principal Data Scientist and Senior Director, Geospatial and Data Sciences, at Jupiter Intelligence where in addition to heading the Data Sciences group he serves more broadly across Jupiter’s science and technology organization. Prior to joining the team at Jupiter, Steve held faculty positions in statistics and applied mathematics and worked in industry as a data scientist where he has led data science research and development programs and data science teams. From 2006 to 2014, he was the head of the Geophysical Statistics Project and a scientist in the Institute for Mathematics Applied to Geosciences at the National Center for Atmospheric Research in Boulder, CO. Steve has long worked at the intersection of climate research and applied statistics, including a focus on spatial methods for large datasets, extremes, uncertainty quantification, and climate risk analytics. Steve is an affiliate faculty member in the University of Colorado’s Department of Applied Mathematics, a fellow of the American Statistical Association, and past recipient of the Distinguished Achievement Award from the American Statistical Association’s Section on Statistics and the Environment.