Demographic Data

Demographic data, encompassing attributes like age, gender, race, income, and location, are crucial for understanding societal patterns and informing policy decisions, but their use presents significant challenges. Current research focuses on improving the accuracy and fairness of demographic data analysis, employing techniques like Bayesian Improved Surname Geocoding (BISG), Generative Adversarial Networks (GANs), and various machine learning models (e.g., support vector machines, neural networks) to address issues such as data scarcity, bias mitigation, and privacy preservation. These advancements have implications for diverse fields, including urban planning, healthcare, and algorithmic fairness, enabling more accurate predictions and equitable outcomes while navigating ethical considerations surrounding sensitive data.

Papers

September 25, 2024

Demo2Vec: Learning Region Embedding with Demographic Information
Ya Wen, Yulun Zhou
Region Specific Multi View Representation Learning Crime Prediction Demographic Data

September 6, 2024

Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S
Saikrishna Badrinarayanan, Osonde Osoba, Miao Cheng, Ryan Rogers, Sakshi Jain, Rahul Tandra, Natesh S. Pillai
Algorithmic Bias Sensitive Attribute AI Fairness Demographic Data Fairness Estimation

August 28, 2024

Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
Dilermando Queiroz, André Anjos, Lilian Berton
Bias Mitigation Fairness Assessment Fairness Analysis Demographic Data Equitable Healthcare System

August 16, 2024

Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes
Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto
Differential Privacy Privacy Preserving Faulty Negative Mitigation Research Survey Fairness Issue Demographic Data

June 29, 2024

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang
New Benchmark Text to Image Generation Demographic Data Context Aware Instruction

April 23, 2024

Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation
Karen Roberts-Licklider, Theodore Trafalis
Machine Learning Human Prediction Procedural Fairness Categorical Data Demographic Attribute Equalized Odds Demographic Data

September 11, 2023

Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model
Neel Bhate, Ansh Mittal, Zhe He, Xiao Luo
Zero Shot Learning Clinical Note Social Determinant Clinical Narrative Demographic Data Chain of Instruction

July 17, 2023

Can We Trust Race Prediction?
Cangyuan Li
Bidirectional Long Short Term Memory Election Result Demographic Data Surname Geocoding

June 29, 2023

Synthetic Demographic Data Generation for Card Fraud Detection Using GANs
Shuo Wang, Terrence Tricco, Xianta Jiang, Charles Robertson, John Hawkin
Generative Adversarial Network Synthetic Data GAN Model Synthetic Data Generation Credit Card Fraud Detection Demographic Data Synthetic Census

August 26, 2022

Race and ethnicity data for first, middle, and last names
Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai
Name Translation Demographic Data Self Reported Race Surname Geocoding

August 15, 2022

Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration
Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Cuong D. Do
Heart Rate Electrocardiogram Classification Demographic Data 12 Lead

April 18, 2022

Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
McKane Andrus, Sarah Villeneuve
Procedural Fairness Algorithmic Fairness Risk Sensitive Fair Algorithm Fairness Analysis Demographic Data Demographic Fairness

April 8, 2022

Disability prediction in multiple sclerosis using performance outcome measures and demographic data
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine Heller
Machine Learning Model Model Performance Performance Metric Outcome Prediction Multiple Sclerosis Demographic Data

March 8, 2022

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data
Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong WangShilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo
Multi Modal Data Survival Prediction Demographic Data Incomplete Imaging Data Brain Cancer

Demographic Data

Papers

Demo2Vec: Learning Region Embedding with Demographic Information

Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S

Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data

Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention

Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation

Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model

Can We Trust Race Prediction?

Synthetic Demographic Data Generation for Card Fraud Detection Using GANs

Race and ethnicity data for first, middle, and last names

Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration

Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness

Disability prediction in multiple sclerosis using performance outcome measures and demographic data

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data