The main Research Bazaar was held March 19, 9am-4:30pm in the Discovery Building’s DeLuca Forum.
- 8am: Check-in (advance registration required)
- 9-10am: Welcome, introductory speakers
- Pallavi Tiwari, Associate Professor and Vilas Distinguished Achievement Professor, Department of Radiology, AI, Computational Imaging, and the Quest for Precision
- Ian Hutchins, Assistant Professor, The Information School, Rewiring Research Intentionally: The Metrics We Choose Shape the Science We Get
- 10am-12:30pm: Lightning talks (three rounds with discussion breaks – presenters below)
- 12:30-1:30pm: Lunch
- 1:30-3pm: Ideas into Action panel
- Jenny Bratburd, Researcher and Outreach Program Manager, Center for Sustainability and the Global Environment
- Edith-Marie Green, Population Health Sciences, Center for Demography and Ecology
- Anna Haensch, Associate Director, Digital Scholarship Hub, UW-Madison Libraries; Research Associate Professor, Data Science Institute
- Michael Notaro, Director and Senior Scientist of the Nelson Institute Center for Climatic Research
- Daniel Pimentel, Assistant Professor, Department of Biostatistics and Medical Informatics and Wisconsin Institute for Discovery
- Moderator: Karen Schloss, Associate Professor, Department of Psychology
- 3-4:30pm: Poster session (presenters below)
Ther Research Bazaar continues with Extended Bazaar events in March and April.
Lightning Talks
Anton Babkin
Tidy public data: A standardized interface for R
Dhananjay Bhaskar
Learning Morphodynamic Trajectories for Embryo Assessment in IVF
Jennifer Bird
Data into Gems: An AI workflow for accessible data communication
Sam Blackburn
Floody, muddy, and green: An R Shiny app to teach data literacy and freshwater science in the classroom
Cynthia Burnson
Bringing actionable data to child welfare policymakers through event analysis and process mining
Daniel Ruiz de Castilla
Navigating chemical space: Reactivity descriptors for method evaluation
Chris Endemann
Supporting ML/AI work at scale at UW–Madison
Edith-Marie Green
Dementia research impacts us all: Tools for communicating research to mixed audiences through a health sciences lens
Josiah Hanna
What do we mean by “reason” in large reasoning models?
Nicholas Keuler
How the Statistical Consulting Group can help you find meaning in your metrics
Emma Longo
Computational Communication: How Fossil Fuel Companies Frame Environmental Issues in Annual Sustainability Reports
Abe Megahed and Dev Ahluwalia
Encouraging empathy using chatbots
Steve Meyer
Applying machine learning computational techniques to library subject headings
Maria Oros
The UW–Madison Open Source Ecosystem: 2024 Campus Survey Results
Zekar Otles
Exploring Azure low-code solution for meteorological data analysis
David Skrovanek
Weather to watts: Using weather data to optimize the grid
Roddy Taing
Consequences of model misspecification of adjacency spectral embeddings
Ziyan Wu
Untangling complex contaminants with surface-enhanced Raman spectroscopy and deep learning
Jiaqi Yang
Seeing individual tree with one AI: UniTree for label-free tree crown mapping
Sijia Yang
Persuasive AI for public health messaging
Zhou Zhang
An integrated deep learning modeling framework for county-level crop yield prediction in support of USDA NASS operation
Wenxuan Zhao
FLIM Playground: An interactive, end-to-end graphical user interface for analyzing single cells with fluorescence lifetime imaging microscopy
Posters
Yury Bukhman
Annotation of cell types in single cell RNA-seq datasets data
Anna Chinni
Semantic distance predicts ability to interpret texture meaning in information visualizations
Matthew Christie
Vertebrate: Open backbones for data architecture
Marek Estrada
Measuring LLM ambivalence: A psychometric approach
Yijing Gong
Optimizing dairy cow replacement decisions using reinforcement learning in an evolving stochastic environment
Sarah Graves
UAS lidar enables quantification of forest coarse woody debris to support forest carbon management plans
Tim Gruenloh
Is ChatGPT-4o racially biased for medical diagnosis?
Martin Guerra
What metric to optimize for suppressing instability in a Vlasov-Poisson system?
David Hardy
Actinorhodopsin pentamers are phospholipid scramblases: A molecular dynamics approach
Han Hu
Optimal maintenance polices for assembly lines with stochastically deteriorating machines and finite buffers
Christian Jorgensen
Interpretable visualizations of data spaces for classification problems
Martin Kaehrle
Who can use restricted-access species data?
Christina Koch
CHTC: Your home for research computing
Kailan Kraft and Cole Delong
Modeling brain connectivity to determine consciousness states
Chloe Kusser
Machine learning prediction of soil organic carbon fractions to assess global soil carbon sequestration potential
Shixiao Liang
Real-time lane-level crash detection on freeways using sparse telematics data
Changwon Lee
Sparsest neural network discovery via mixed-integer linear optimization
Jordan Loeffler
Developing low-dimensional order parameter to indicate crystallization phenomena
Gabriel McMahon
Children’s allergy and asthma data repository (CADRE)
Ella Mitchell
Food equity access simulation technology
Steven Moen
I-ACRE: An autoregressive conditional extremes model for incomplete panel data with applications in exoplanet detection
Marine Nalbandyan
Real-world evidence to advance community health (REACH)
Olivia Nygaard
Using Farm2Facts to strengthen sustainable and equitable food systems through data collection, analysis, and science communication
Aurod Ounsinegad
Identification of early-stage risk indicators of ovarian cancer with explainable machine learning in electronic health records
Harsh Rathore
Machine learning analysis of fast-Ion losses in stellarator experiments
Ben Rush
Adjudication of incidental findings from 18,000 chest CTs by CoReadAI, an LLM, and human readers
Eric Schultz
Practical Pitfalls of Active Learning for Protein Fitness Optimization: A GB1 Benchmark
Jennifer Sciana
Responding to failure: Developing a playful assessment of student mindset
Renee Sutkay
Improving healthcare value through chronic condition management
Roddy Taing
Consequences of model misspecification of adjacency spectral embeddings
Zezhong Tian
Mitigating NDVI saturation in imagery of dense and healthy vegetation
Xiaoyu Wang
Knowledge-guided machine learning model with soil moisture for corn yield prediction under drought conditions
Mingda Wu
Why phenology matters: Unlocking stage-dependent remote sensing signals to improve corn yield prediction across the U.S. Corn Belt
Runxiong Wu
What makes a good low-dimensional latent space? Generation, classification, and dimension reduction revisited
Zifan Xu
CNN and transformers for spectral reconstruction: A metric-driven interpretation
Tong Yu
A multimodal generative adversarial network for near-daily alfalfa multispectral image reconstruction