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Citizen Science for Digital Health and AI Research

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September 18, 2023
6:30 am - 9:00 am EDT
Add to Calendar September 18, 2023 6:30 am September 18, 2023 9:00 am America/New_York Citizen Science for Digital Health and AI Research

The International Digital Health & AI Research Collaborative (I-DAIR) and its global academic partners, namely United Nations University Institute in Macau (China), Universidade Federal do Rio Grande do Sul (Brazil), African Population and Health Research Center (Kenya), Oxford University Clinical Research Unit (Vietnam), Dr. Rajendra Prasad Government Medical College (India) and Makerere University Centre for Health and Population Research (Uganda); and civil society partners, namely eBASE Africa (Cameroon), Zimbabwe National Network of PLHIV+ (Zimbabwe), Wireless Access for Health (The Philippines), Climate Institute (Indonesia), RD Foundation (Nepal), Rural Development Academy (Bangladesh) and Amref Health Africa (Kenya); are proposing a session to explore how citizen science can contribute to more inclusive and collaborative research for digital health and AI for health, as well as the type of infrastructure and technologies needed to create an enabling environment for citizens to participate sustainably. By fostering active public participation in health research, we build stronger partnerships between scientists, citizens and policymakers, which can contribute towards achieving Sustainable Development Goals (SDGs) 3 and 17, ensuring healthy lives and well-being for all.

The 2.5-hr session will consist of a keynote (15 mins), followed by two panel discussions, and a closing remark (15 mins). Each panel discussion (25 mins) will be preceded by a presentation on the topic of interest (15 mins) and followed by an interactive question-and-answer session (20 mins). The opening keynote will lay the foundation for the session by highlighting the role of citizens in health promotion and disease prevention, with a particular focus on their potential for digital health and AI research.

The first panel will explore how to establish citizen science for digital health and AI research. A presentation preceding the panel discussion will showcase a mixed-method study conducted by I-DAIR and partners assessing citizens’ opinions about the application of the citizen science approach and the use of digital enablers. This study was conducted in Bangladesh, Cameroon, India, Indonesia, Kenya, Nepal, The Philippines, Uganda and Zimbabwe. The panel discussion will subsequently examine the: i) contribution of citizen science to the achievement of SDGs; ii) roles of academic, philanthropic, civil society and international organizations in promoting the citizen science methodology in digital health and AI research projects; and iii) type of infrastructure and capacity development needed to provide the enabling environment for active and sustainable citizen participation.

Finally, the second panel will examine the use of existing digital technologies to enable the engagement of citizens. I-DAIR and partners are developing participatory approaches allowing citizens’ active participation to go beyond data collection and extend into modeling and collaborative policy development. The second presentation will showcase the use of participatory modeling approaches in building agent-based models for disease outbreak management in Brazil, Vietnam and Kenya. The panel discussion will further examine the: i) use of digital tools to scale up and sustain participatory activities online; ii) use of generative AI, with a focus on large language models, to support these activities; and iii) the need for transdisciplinary research to advance the citizen science approach.

Location of the event
Issues:

The International Digital Health & AI Research Collaborative (I-DAIR) and its global academic partners, namely United Nations University Institute in Macau (China), Universidade Federal do Rio Grande do Sul (Brazil), African Population and Health Research Center (Kenya), Oxford University Clinical Research Unit (Vietnam), Dr. Rajendra Prasad Government Medical College (India) and Makerere University Centre for Health and Population Research (Uganda); and civil society partners, namely eBASE Africa (Cameroon), Zimbabwe National Network of PLHIV+ (Zimbabwe), Wireless Access for Health (The Philippines), Climate Institute (Indonesia), RD Foundation (Nepal), Rural Development Academy (Bangladesh) and Amref Health Africa (Kenya); are proposing a session to explore how citizen science can contribute to more inclusive and collaborative research for digital health and AI for health, as well as the type of infrastructure and technologies needed to create an enabling environment for citizens to participate sustainably. By fostering active public participation in health research, we build stronger partnerships between scientists, citizens and policymakers, which can contribute towards achieving Sustainable Development Goals (SDGs) 3 and 17, ensuring healthy lives and well-being for all.

The 2.5-hr session will consist of a keynote (15 mins), followed by two panel discussions, and a closing remark (15 mins). Each panel discussion (25 mins) will be preceded by a presentation on the topic of interest (15 mins) and followed by an interactive question-and-answer session (20 mins). The opening keynote will lay the foundation for the session by highlighting the role of citizens in health promotion and disease prevention, with a particular focus on their potential for digital health and AI research.

The first panel will explore how to establish citizen science for digital health and AI research. A presentation preceding the panel discussion will showcase a mixed-method study conducted by I-DAIR and partners assessing citizens’ opinions about the application of the citizen science approach and the use of digital enablers. This study was conducted in Bangladesh, Cameroon, India, Indonesia, Kenya, Nepal, The Philippines, Uganda and Zimbabwe. The panel discussion will subsequently examine the: i) contribution of citizen science to the achievement of SDGs; ii) roles of academic, philanthropic, civil society and international organizations in promoting the citizen science methodology in digital health and AI research projects; and iii) type of infrastructure and capacity development needed to provide the enabling environment for active and sustainable citizen participation.

Finally, the second panel will examine the use of existing digital technologies to enable the engagement of citizens. I-DAIR and partners are developing participatory approaches allowing citizens’ active participation to go beyond data collection and extend into modeling and collaborative policy development. The second presentation will showcase the use of participatory modeling approaches in building agent-based models for disease outbreak management in Brazil, Vietnam and Kenya. The panel discussion will further examine the: i) use of digital tools to scale up and sustain participatory activities online; ii) use of generative AI, with a focus on large language models, to support these activities; and iii) the need for transdisciplinary research to advance the citizen science approach.