Projects

CINES: A SCALABLE CYBERINFRASTRUCTURE FOR SUSTAINED INNOVATION IN NETWORK ENGINEERING AND SCIENCE

National Science Foundation, Office of Advanced Cyberinfrastructure (OAC)
People: Madhav Marathe
2018 – 2019

DESIGN AND ANALYSIS OF VACCINE TRIALS FOR EMERGING INFECTIOUS DISEASE THREATS

National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Ira Longini, Natalie Dean
2018 – 2023

Effective Risk-Based Monitoring Strategies for Depression

National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation (CMMI)
People: Shan Liu
2018 – 2022

THE MACROECOLOGY OF PARASITES OF INVASIVE HOST SPECIES

National Science Foundation, Division of Environmental Biology (DEB)
People: Andrew Park
2018 – 2020

CAUSAL INFERENCE METHODS FOR HIV PREVENTION STUDIES AMONG NETWORKS OF PEOPLE WHO USE DRUGS

NATIONAL INSTITUTE ON DRUG ABUSE
People: Ashley Buchanan
2018 – 2023

DEVELOPMENT OF AN OPEN-SOURCE AND DATA-DRIVEN MODELING PLATFORM TO MONITOR AND FORECAST DISEASE ACTIVITY

National Institute of General Medical Sciences
People: Mauricio Santillana Guzman
2018 – 2023

URBAN VECTOR-BORNE DISEASE TRANSMISSION DEMANDS ADVANCES IN SPATIOTEMPORAL STATISTICAL INFERENCE

National Science Foundation, Division of Mathematical Sciences (DMS)
People: Aaron King
2018 – 2022

EPIMODEL 2.0: INTEGRATED NETWORK MODELS FOR HIV/STI PREVENTION SCIENCE

National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Martina Morris, Samuel Jenness, Steven Goodreau
2018 – 2022

INFERRING SHIFTS IN SUSCEPTIBILITY AND CROSS PROTECTION TO INFLUENZA FROM (SUB)TYPED INCIDENCE DATA

National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Wan Yang
2018 – 2020

CAREER: Scaling Up Knowledge Discovery in High-Dimensional Data Via Nonconvex Statistical Optimization

Division of Information & Intelligent Systems
People: Quanquan Gu
2018 – 2022

BIGDATA: F: Collaborative Research: Taming Big Networks via Embedding

Division of Information & Intelligent Systems
People: Quanquan Gu
2018 – 2021

III: Small: Collaborative Research: High-Dimensional Machine Learning Methods for Personalized Cancer Genomics

Division of Information & Intelligent Systems
People: Quanquan Gu
2018 – 2021

III: Small: Collaborative Learning with Incomplete and Noisy Knowledge

Division of Information & Intelligent Systems
People: Quanquan Gu
2018 – 2021

CAUSAL INFERENCE METHODS FOR HIV PREVENTION STUDIES AMONG NETWORKS OF PEOPLE WHO USE DRUGS

NATIONAL INSTITUTE ON DRUG ABUSE
People: Ashley Buchanan
2018 – 2023

INFERRING SHIFTS IN SUSCEPTIBILITY AND CROSS PROTECTION TO INFLUENZA FROM (SUB)TYPED INCIDENCE DATA

NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
People: Wan Yang
2018 – 2020

INTEGRATING DATA STREAMS WITH MULTI-SCALE MODELING TO GUIDE NOROVIRUS VACCINE DECISION-MAKING

National Institutes of Health, National Institute of General Medical Sciences
People: Katia Koelle, Jon Zelner, Ben Lopman, Andreas Handel, Kristin Nelson
2018 – 2023

How do shifts from migratory to sedentary behavior alter host-parasite dynamics?

Division of Environmental Biology (DEB)
People: Jacobus de Roode
2018 – 2021

QMRA III – QUANTITATIVE MICROBIAL RISK ASSESSMENT INTERDISCIPLINARY INSTRUCTIONAL

NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
People: Jade Mitchell
2018 – 2020

R15 AREA PROJECT TO DEVELOP GENOMIC AND EXPERIMENTAL RESOURCES TO STUDY REGENERATION

National Institute of General Medical Sciences
People: Daniel Janies
2018 – 2021

SOCIO-SPATIAL APPROACHES TO THE ANALYSIS OF MULTILINGUALISM

National Science Foundation, Division of Behavioral and Cognitive Sciences (BCS)
People: Ling Bian
2018 – 2021

MIDAS

Projects

Research and Training by MIDAS Members

No results found.

CINES: A SCALABLE CYBERINFRASTRUCTURE FOR SUSTAINED INNOVATION IN NETWORK ENGINEERING AND SCIENCE

DESIGN AND ANALYSIS OF VACCINE TRIALS FOR EMERGING INFECTIOUS DISEASE THREATS

Effective Risk-Based Monitoring Strategies for Depression

THE MACROECOLOGY OF PARASITES OF INVASIVE HOST SPECIES

CAUSAL INFERENCE METHODS FOR HIV PREVENTION STUDIES AMONG NETWORKS OF PEOPLE WHO USE DRUGS

DEVELOPMENT OF AN OPEN-SOURCE AND DATA-DRIVEN MODELING PLATFORM TO MONITOR AND FORECAST DISEASE ACTIVITY

URBAN VECTOR-BORNE DISEASE TRANSMISSION DEMANDS ADVANCES IN SPATIOTEMPORAL STATISTICAL INFERENCE

EPIMODEL 2.0: INTEGRATED NETWORK MODELS FOR HIV/STI PREVENTION SCIENCE

INFERRING SHIFTS IN SUSCEPTIBILITY AND CROSS PROTECTION TO INFLUENZA FROM (SUB)TYPED INCIDENCE DATA

CAREER: Scaling Up Knowledge Discovery in High-Dimensional Data Via Nonconvex Statistical Optimization

BIGDATA: F: Collaborative Research: Taming Big Networks via Embedding

III: Small: Collaborative Research: High-Dimensional Machine Learning Methods for Personalized Cancer Genomics

III: Small: Collaborative Learning with Incomplete and Noisy Knowledge

CAUSAL INFERENCE METHODS FOR HIV PREVENTION STUDIES AMONG NETWORKS OF PEOPLE WHO USE DRUGS

INFERRING SHIFTS IN SUSCEPTIBILITY AND CROSS PROTECTION TO INFLUENZA FROM (SUB)TYPED INCIDENCE DATA

INTEGRATING DATA STREAMS WITH MULTI-SCALE MODELING TO GUIDE NOROVIRUS VACCINE DECISION-MAKING

How do shifts from migratory to sedentary behavior alter host-parasite dynamics?

QMRA III – QUANTITATIVE MICROBIAL RISK ASSESSMENT INTERDISCIPLINARY INSTRUCTIONAL

R15 AREA PROJECT TO DEVELOP GENOMIC AND EXPERIMENTAL RESOURCES TO STUDY REGENERATION

SOCIO-SPATIAL APPROACHES TO THE ANALYSIS OF MULTILINGUALISM

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