DS-I Africa Virtual Symposium Platform: Registration

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OMB Control Number: 0925-0740
Expiration Date: 07/2022
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As a part of the launch of the Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa) program, NIH is hosting a DS-I Africa Virtual Symposium Platform. This online resource includes an online networking community that allows participants to: learn about the funding opportunity announcements; network with other participants across disciplines, sectors, and geographies; and explore potential collaborations. The Virtual Symposium Platform will include several keynote videos and interactive webinars with panels of leading data scientists. Access to these online tools and events are free and open to the public.
For more information on the DS-I Africa program, please visit: https://commonfund.nih.gov/AfricaData.
For more information on the Virtual Symposium Platform, please visit: https://commonfund.nih.gov/africadatasymposium or contact DSIAfrica.Symposium@mail.nih.gov.

To register and gain access to the interactive components of the DS-I Africa Virtual Symposium Platform, please complete the brief form below.

E-Mail-Adresse *

First Name *

Last Name (Surname) *

Affiliation (Name of the institution, company, or organization that you are primarily affiliated with. No abbreviations.) *

What category best describes your primary affiliation? *

Academic Institution

African Government

Non-Governmental Organization (including think thanks, non-profits, etc)

Research Funding Organization

Private Sector

NIH Staff

Non-NIH USG staff

Sonstiges:

Job Title

Department or Division within Organization

Highest Degree Earned (e.g. BS, MD, PhD, etc.)

What is your career level based on years of professional experience in your field?

Early (less than 10 years of experience)

Middle (10-20 years of experience)

Senior (more than 20 years of experience)

Auswahl löschen

What discipline(s) best describes your area of expertise? (Select all that apply.) *

Analytics

Artificial Intelligence

Big Data

Biomedical Engineering

Digital Technology

Geospatial Analysis

Ethics, Legal and Social Implications of Research

Imaging

Informatics

Machine Learning

Mobile Health

Modeling

Aging

Environmental Health

Genomics

Infectious Diseases

Maternal, Child, and Neonatal Health

Non-Communicable Diseases

Public Health

Trauma and Injury

Sonstiges:

Pflichtfrage

If you selected Infectious Diseases, please specify which disease(s) (e.g. malaria, HIV, etc.).

If you selected Non-Communicable Diseases, please specify which disease(s) or condition(s) (e.g. cancer, hypertension, diabetes, neurological disorders, etc.).

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