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Welcome to the Science Summit at the United Nations General Assembly (UNGA77)

Please Register by clicking HERE

Registration is free of charge. You can register yourself and also other colleagues (up to 10 people).

After you have registered, you will receive two emails: one from Eventbrite with your ticket, and 15 min later, one from SCHED inviting you to create your username and password (these will be your  SCHED login details to access the conference each time).

Once you have your SCHED login details, you can select the session(s) you would like to attend and be able to see the ZOOM link to join your selected sessions.

All times in the AGENDA are New York Local (Eastern Daylight Time (EDT)). To view times in another time zone, please use the "Timezone" box located below on the right.

avatar for Jude Kong

Jude Kong

Africa-Canada Artificial Intelligence and Data Innovation Consortium
Professor
Toronto, Ontario

Contact Me


You may talk to me about  Artificial Intelligence(AI);  Epidemic and pandemic preparedness and response; one health; digital health; clinical public health modelling; data management; community engagement; participatory research; AI in clinical public health; Equity Diversity Inclusion & Decolonization; Digital tools and platforms; Global South; Africa

About Dr Kong
Dr. Jude Kong is a professor in the Mathematics & Statistics Department at York University and the founding Director of the Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC)(http://acadic.org/). Additionally, he is the Executive Director of the Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response (AI4PEP) Network. Furthermore, he is the Regional Node Liaison to the steering committee of the Canadian Black Scientist Network (CBSN), a member of the Scientific Advisory Committee of the Mathematics for Public Health Network, a member of the National COVID-19 Modelling Rapid Response Task Force and a member of the Canadian Centre for Disease Modelling. He obtained his Ph.D. in Mathematics from the University of Alberta, his MSc. in Mathematical Modelling from the University of Hamburg-Germany and the University of L'Aquila-Italy (European Union Erasmus Mundus Mathmods Program). His B.Sc. in Mathematics and Computer Science was acquired at the University of Buea-Cameroon and his Bachelor of Education (B.Ed) degree in Mathematics was earned at the University of Yaounde-Cameroon. Before joining York University, he did postdocs at Princeton University and Rutgers University. Dr. Kong is an expert in artificial intelligence, clinical public health modelling and mathematics education. His principal research program focuses on the use of quantitative methods to improve decision-making for epidemic and pandemic prevention, preparedness and response. During the COVID-19 pandemic, he has been leading an interdisciplinary team of more than 52 researchers from key academic and government institutions in nine African countries that have been using Artificial intelligence to help government and local communities to contain and manage the spread of COVID-19. In 2020, he won a York Research Leader Award. In 2021 he was spotlighted among Canadian Innovation Research Leaders 2021 for his work with ACADIC . In 2022, he was spotlighted as a Change Maker by People of YU for his work in helping others learn mathematical concepts and encouraging them to find their passion and achieve more than they thought was possible. He is an Area Editor of the Data & Policy Journal where he focuses on Data Technologies and Analytics for Policy and Governance.

Thursday, September 22
 

7:00am EDT

8:00am EDT

9:00am EDT

12:00pm EDT

12:30pm EDT

 
Friday, September 23
 

8:00am EDT

9:00am EDT

10:00am EDT

11:00am EDT

2:00pm EDT

 
Sunday, September 25
 

2:00pm EDT

3:00pm EDT

 
Monday, September 26
 

8:00am EDT

9:00am EDT

1:00pm EDT

4:00pm EDT

 
Tuesday, September 27
 

8:00am EDT

9:00am EDT

12:00pm EDT

2:00pm EDT

3:00pm EDT

4:00pm EDT

 
Wednesday, September 28
 

7:00am EDT

9:00am EDT

2:00pm EDT

 
Thursday, September 29
 

8:00am EDT

9:00am EDT

10:00am EDT

2:00pm EDT

 
Friday, September 30
 

8:00am EDT

9:00am EDT

11:00am EDT

2:00pm EDT

 
Tuesday, October 4
 

10:00am EDT

2:00pm EDT

 
Wednesday, October 5
 

9:00am EDT