DS-I Africa Virtual Symposium Platform: Registration

JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.

NOTICE:
OMB Control Number: 0925-0740
Expiration Date: 07/2022
Public reporting burden for this collection of information is estimated to average 10 minutes per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a current valid OMB control number. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to NIH, Project Clearance Branch, 6705 Rockledge Drive, MSC 7974, Bethesda, MD 20892-7974, ATTN: PRA (0925-0740). Do not return the completed form to this address.

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.

Email *

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

Other:

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)

Clear selection

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

Other:

Required

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.).

Clear form

Never submit passwords through Google Forms.

This form was created inside of Knowinnovation. Report Abuse

Forms