Announcements

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems (2019 ML-MSM)

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems (2019 ML-MSM)

Meeting Information

Participate in Pre-Meeting activities:Background Information Pre-Meeting Webinars 10/1-10/11

 

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems

co-chairs:  Ellen Kuhl, Suvranu De

Goals: this meeting focuses on integrating machine learning methods with multiscale modeling methods guided by the fundamental principles of mathematics and physics.

Objectives: to identify the perspectives, challenges, and opportunities of integrating machine learning with multiscale modeling (ML-MSM) in biomedical, biological, and behavioral systems.

•Four methodologies for ML-MSM modeling: ordinary differential equation (ODE), partial differential equation (PDE), theory-driven, and purely data-driven approaches

•Two application contexts: Digital Twins and Human Safety

2019 ML-MSM Meeting, October 24-25, 2019, Bethesda, Maryland (NIH Campus)

October 1, 2019  - Last day to register online 

Join an Interactive Virtual MicroLab on Cancer Challenges and Advanced Computing: Sept 25, 3:00 – 4:30 pm ET

If you are interested in shaping future research in computational oncology, please join our next interactive virtual MicroLab on Cancer Challenges and Advanced Computing: September 25th, 3:00 – 4:30 PM ET.  NO TRAVEL REQUIRED.

Sponsored by: The Envisioning Computational Innovations for Cancer Challenges Community (ECICC), comprised of clinicians, cancer researchers, and computational scientists representing over 50 organizations! The ECICC community arose from a collaborative program between the National Cancer Institute (NCI) and the Department of Energy (DOE), Joint Design of Advanced Computational Solutions for Cancer (JDACS4C), to simultaneously accelerate advances in precision oncology and computing.

How it Works: Participants will work in small, multi-disciplinary teams - in virtual breakout groups - to create new use cases and identify critical next steps.

Read more about it and register for the MicroLab on September 25th. Help shape future research in computational oncology!

Please send the attached flyer to any colleagues who may be interested in participating. Flyer - Sept 25 MicroLab.pdf

For more information visit the ECICC Community hub site

Questions? Contact ECICCcommunity@nih.gov

Funding Opportunities

Application Due Date:
Monday, January 7, 2019, Saturday, September 7, 2019, Monday, January 7, 2019, Friday, June 7, 2019
Application Due Date:
Monday, December 2, 2019

Webinars

Webinar Date
Sunday, May 31, 2015 - 12:00am to Saturday, January 1, 2022 - 12:00am
Webinar Date
Thursday, October 24, 2019 - 11:00am to 12:00pm

MSM Meetings

7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019) will be held Oct 28–30 at Skamania Lodge in Washington State near the Columbia Gorge River, just 45 minutes from Portland, Oregon. This year is the 10-year anniversary of the very first HCOMP workshop in Paris, and to celebrate, there will be special events, talks, and panels throughout the conference.

Meeting Date:
Monday, October 28, 2019 to Wednesday, October 30, 2019
Meeting Location:
Skamania Lodge, WA

The first annual Synthetic Biology Consortium Meeting will be held on October 28-29, 2019 in the Natcher Conference Center on NIH campus in Bethesda, MD.

Objective: Focusing synthetic biology on developing technologies for biomedicine

Meeting Date:
Monday, October 28, 2019 to Tuesday, October 29, 2019
Meeting Location:
Bethesda, MD

NVIDIA’s GPU Technology Conference (GTC)

Washington, D.C. November 4-6, 2019.

GTC DC brings together leading researchers from top institutions and startups worldwide to discuss the current and future state of AI and accelerated computing applied to the greatest challenges facing healthcare and life sciences.

Meeting Date:
Monday, November 4, 2019 to Wednesday, November 6, 2019
Meeting Location:
Washington, D.C.

This wiki contains information relevant to the IMAG (Interagency Modeling and Analysis Group) and the MSM (Multi-scale Modeling Consortium)Questions about IMAG and the MSM Consortium can be directed to NIBIBimag@mail.nih.gov.