911±¬ÁÏÍø

911±¬ÁÏÍø Scientific Association

The 911±¬ÁÏÍø Scientific Association is an ongoing lecture series that allows science faculty from around campus to share their ongoing work outside of their respective departments.

DSA Series Organizers:
Michael Chavrimootoo
Zhe Wang

DSA meetings are held monthly, on Wednesdays from 4:30-5:30 p.m., in Olin Hall 114.

About 911±¬ÁÏÍø Scientific Association

The 911±¬ÁÏÍø Scientific Association is an ongoing lecture series that brings science faculty from across campus together to share their current research with the broader 911±¬ÁÏÍø community. Designed to spark curiosity and foster interdisciplinary conversation, the DSA talks are open and accessible to a general audience — no scientific background is required to attend. By stepping outside their home departments, faculty offer engaging glimpses into the questions that drive their work, connecting students, colleagues, and staff through a shared appreciation for scientific inquiry.

911±¬ÁÏÍø Scientific Association
Archives

2025 - 2026

The 911±¬ÁÏÍø Scientific Association presents: Dr. Kristina Slagle of Sustainability & Environmental Studies.

Robert Viator traces eigenvalue problems from 2×2 matrices to differential equations, with applications in acoustics and materials science.

Tyler Grambling presents isotope data from the Peruvian Andes to decode how fluids move through crystal-plastic fault zones deep in Earth's crust.

Seth Chin-Parker uses eye tracking to examine how selective visual attention shapes—but does not fully determine—goal-directed concept acquisition.

Zhe Wang demonstrates how to visualize and interpret interaction effects in GLMMs using a study of Puerto Rican Spanish pronunciation.

Nestor Matthews investigates what novices miss in 2×2 factorial graphs and offers strategies for better statistics and visualization teaching.

David Kahn introduces big-stop semantics, extending big-step semantics to enable resource analysis for non-terminating programs.

2024 - 2025

Morrison Nolan uses stable isotopes to probe ancient ocean oxygen levels and the trophic structure of Late Triassic ecosystems.

Michael Chavrimootoo explores the computational complexity of electoral control attacks such as gerrymandering and voter suppression.

Adam Waterbury presents work on rare event probabilities in self-interacting systems and machine learning for nonlinear time series.

Sara Clifton applies simple dynamical models to social phenomena including e-cigarette public health tradeoffs, gender equity in careers, and bystander effects.

Andy McCall shares three years of field research on whether locally sourced milkweed seeds produce healthier plants for monarch butterfly recovery.

Kristina Steiner examines how older adults use second-hand memories for social bonding and how this differs from college-age behavior.

David White explores statistical models for time series data, with real-world applications in policing, protests, and opioid trends in Ohio.

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