Day 1 – October 29
12:00 PM – 12:10 PM
Opening Remarks
Jing Liu, Managing Director, MIDAS
12:10 PM – 1:40 PM
Data Scientists in Training Presentations
Data Science and the Physical World
12:10 PM
Shaking up Earthquake Science in the Age of Big Data
Presented by Karianne Bergen
12:25 PM
Modeling for Ambiguous SNP Calls in Allotetraploids
Presented by Roshan Kulkarni
12:40 PM
PATS: A Taxon Re-sampling Pipeline to Test Phylogenetic Stability in Large Datasets
Presented by Chris Powell
12:55 PM
Unveiling the Nature of the Circumgalactic Medium
Presented by Sameer Sameer
1:10 PM
Physics-guided Energy-efficient Path Selection
Presented by Yan Li
1:25 PM
Framework for Effective Resilience Assessment of Deep-Tier Automotive Supply Networks
Presented by Elham Taghizadeh
Data Science and Human Society
12:10 PM
Artificial Intelligence-Assisted Identification of Child Abuse and Neglect in Hospital Settings with Implications for Bias Reduction and Future Interventions
Presented by Aviv Landau
12:25 PM
The Contagiousness of Police Violence
Presented by Thibaut Horel
12:40 PM
Robust Sound Event Detection in Urban Environments
Presented by Chris Ick
12:55 PM
Restricted Paraphrase Generation Model for Commercial Tweets
Presented by Renhao Cui
1:10 PM
Text Mining for Social Good; Context-aware Measurement of Social Impact and Effects Using Natural Language Processing
Presented by Rezvanah Rezapour
Day 2 – October 30
12:00 PM – 12:10 PM
Welcome Back
Jing Liu, Managing Director, MIDAS
12:10 PM – 1:55 PM
Data Scientists in Training Presentations
Data Science Theory and Methodology
12:10 PM
Bringing Modern Machine Learning to Survival Analysis
Presented by Paidamoyo Chapfuwa
12:25 PM
Bluff: Interactive Interpretation of Adversarial Attacks on Deep Learning
Presented by Heakyu Park
12:40 PM
On the Computational Complexities of Three Privacy Measures for Large Networks Under Active Attack
Presented by Tanima Chaterjee
12:55 PM
Introducing retraced non-backtracking random walk (RNBRW) as a tool to uncover the mesoscopic structure of open-source software (OSS) networks
Presented by Behnaz Moradi
1:10 PM
Securing the IoT Communication
Presented by Sanjeev Kaushik
1:25 PM
Towards Trustworthy and Fair Classifiers
Presented by Arya Farahi
1:40 PM
Persistence Enhanced Graph Neural Network
Presented by Qi Zhao
Data Science and Human Health
12:10 PM
Comprehensive analysis of the reproducibility of RNAseq computational pipelines
Presented by Sarah Ben Mamaar
12:25 PM
Optimizing Genetic-Based Public Health Interventions
Presented by Váleri Vásquez
12:40 PM
Modeling the Impact of Social Determinants of Health on COVID-19 Transmission and Mortality to Understand Health Inequities
Presented by Abby Stevens
12:55 PM
Multiple Instance Learning from Distributional Instances
Presented by Sean Kent
1:10 PM
Suicide Rates on African African Youth as it relates to the Influence of Different types of Communication
Presented by LaKeithia Glover
1:25 PM
BioData Catalyst and Deep Learning: Feature extraction on a full-feature platform
Presented by Matt Satusky
1:40 PM
Using an Ecological Inference Software Tool to Detect Vote Dilution
Presented by Juandalyn Burke