Bully.id as The Answer to Mental Health Issues Tackled in the WHO Global Meeting 2019
Muscat, OM (December 9-12, 2019) – Sustainable Development Goals (SDGs) are planned to be achieved by the year 2030. “Ensure healthy lives and promote well-being for all at all ages” is written as one of the SDGs, which is goal number 3 to be exact. Included as part of the goal is target 3.4; reduce by one-third pre-mature mortality from non-communicable diseases (NCDs) through prevention and treatment, and promote mental health and wellbeing. Regarding the target, World Health Organization (WHO) took the initiative to organize a global-scaled meeting with the aim to strengthen the capacity of national NCD Directors and Managers in implementing priority interventions that will put their countries on a sustainable path to attain.
Located in Kempinski Hotel Muscat, Oman and lasted for four days, the WHO Global Meeting had several segments to be followed by the participants. Participated by Ministers of Health, Agriculture, Environment, Education, Finance, Foreign Affairs, Planning, Trade and Development Cooperation, public policy makers, UN organizations, global experts and advocates, and also non-state actors, the agendas of the meeting included technical meeting for National NCD Directors and Programme Managers, high-level segment for member states, UN organizations, and non-state actors at level of Ministers and heads of organizations, forum of partners for multi-stakeholder, and regional meetings. As the Ambassador of Youth IGF Indonesia and Founder of Bully.id, Agita Pasaribu was invited to the meeting and used this opportunity to present Bully.id, a mobile application based with AI technology to help the victims of cyberbullying emotionally and legally.
As stated by Brita Elvevåg, a cognitive neuroscientist at the University of Tromsø, that humans are imperfect beings which can get distracted and sometimes miss out on subtle speech cues and warning signs, Bully.id would want to become the answer for that problem. The application is developed using the machine learning technology that is able to precisely detect day-to-day changes in user’s online persona that hint at mental health decline. “Language is a critical pathway to detecting patient mental states. Using mobile devices and AI, we are able to do early detection and monitor these subtle changes,” Agita closed her speech.