Women in STEM Feature: Lucy Owen
Where did you grow up?I grew up in Kentucky. I was born in a very rural part of Kentucky, and that's where I spent the first several years of my life before I moved to the big city of Lexington, Kentucky.How did you get into STEM and research?
Citizen Science Activities at Chief Joseph Middle School Outdoor Days
On Thursday, September 27th, employees of the Montana State University Science Math Resource Center attended Chief Joseph Middle School Outdoor Days at Gallatin County Regional Park. They set up an activity station and information table for six classes of sixth grade students. The students participated in three hands-on, citizen science activities.
NSF by the Numbers
NSF provides a helpful resource called NSF by the Numbers.
SMART FIRES team investigates citizen science opportunities during Lubrecht Experimental Forest visit
On a beautiful fall day in September, a team of Montana NSF EPSCoR researchers, students and outreach professionals from several Montana colleges and universities gathered at the University of Montana’s Lubrecht Experimental Forest near Greenough, Mont.
Citizen Science demo during All-Hands Meeting 2024
All participants in the EPSCoR All-Hands Meeting on Sept. 16-17, 2024 are invited to participate in citizen science investigation using a free app supported by NASA that allows volunteers to learn more about our shared environment by taking observations of the land, clouds, trees and mosquito habitat.We will use the app, called GLOBE Observer, during our trip to the Lubrecht Experimental Forest on Tuesday, Sept. 17.
Interview with Dr. Lucy Owen: New UM Machine Learning Hire
What is your specialty? I am a computational cognitive neuroscientist. I’m really interested in brain network dynamics and larger systems that relate to patients where you can pick out biomarkers that are similar across patients to help diagnoses.
Interview with Dr. Michael Wojnowicz: New MSU Machine Learning Hire
What is your specialty? I work in the space between statistics and machine learning.Statistical models are nice because they’re interpretable, probabilistic, and reliable to train. But they can struggle with large, complex datasets. On the other hand, machine learning models are great for large, complex datasets, but many of them are black boxes which are hard to interpret, and the training process can be unreliable and resource intensive. My research is about developing new methods which blend the best of these worlds.
SMART FIRES shares research with teachers at STEM Summer Institute
Each year, the Science Math Resource Center at MSU co-hosts the STEM Summer Institute, an annual conference for over 170 K-12 educators from around the state. This summer, SMRC led a workshop that introduced educators to the SMART FIRES project and included presentations by Dr. Kevin Repasky from the Smart Optical Sensor thrust and Will Jardee from the Artificial Intelligence and Machine Learning thrust.
Teachers Help Inform EPSCoR Citizen Science Program
Montana K-12 teachers participated in focus groups providing input on SMART FIRES' new citizen science initiative which will provide schools with air quality measurement tools. The teachers–from Billings, Cut Bank, Great Falls, and Yaak–expressed interest in the concept, saying that they are always open to bringing new technologies into the classroom. They said the technologies could be used for hands-on lessons to engage students in the science of measurement and awareness of their local air quality.
NSF E-RISE Awards 2024
The U.S. National Science Foundation has awarded $35 million through the Established Program to Stimulate Competitive Research (EPSCoR) Research Incubators for STEM Excellence Research Infrastructure Improvement (E-RISE RII) to boost research competitiveness, build partnerships across academic institutions and non-academic sectors and create workforce development opportunities.
Upcoming Events
Virtual
Montana Reverse Site Visit with NSF
The Reverse Site Visit is required in Year 2 of an RII Track-1 project. Montana is scheduled to meet with NSF On April 3, 2025.The RSV is a review/evaluation conducted by teams of external reviewers and the NSF staff.
Virtual
Montana Reverse Site Visit with NSF
The Reverse Site Visit is required in Year 2 of an RII Track-1 project. Montana is scheduled to meet with NSF On April 3, 2025.The RSV is a review/evaluation conducted by teams of external reviewers and the NSF staff.