Advisory board:

• Prof Katherine Brickell (KCL: Critical geographies)
• Dr. Saut Sagala (ITB/RDI – Disaster Risk Reduction)
• Dr. Adiwan Fahlan Aritenang (ITB- Social Caital and Regional Economics)
• Agantaranansa Juanda (Open Society Foundation: Human Rights Lawyer)
• Dr. Yudhistira Nugraha (Jakarta Smart City- Cyber Security and Data Analytics)

Project Background

Jakarta has gained an international reputation as one the world’s fastest sinking cities, with reported subsidence rates of up to 28cm/year in some coastal locations between 1982 – 2011 (Abidin et al. 2011) owing to interactions between human-environment systems. In a city already naturally exposed to flooding caused by high precipitation events during the wet season and tidal flooding due to its coastal location, subsidence has added urgency to disaster risk reduction efforts. To date, provincial and national government responses have focused on structural interventions to reduce flood risk, including sea walls, polder systems, and river dredging programs (Colven, 2017, Padawangi and Douglass, 2015). However, these interventions do not address – in some cases worsen – the differentiated vulnerabilities across and between communities (Colven and Irawaty, 2019). Jakarta also presently lacks a decision support system that can effectively support risk mitigation within marginalised and vulnerable communities. “Aims: To explore the use of human-informed decision support system tools and visual art in empowering and increasing the resilience of local communities to flood risk in Penjaringan Sub District.

Objectives:

• Identify community needs and priorities in collaboration with local artists, communities, community organisations, Jakarta-based institutions, etc. to elevate to voices and experiences of marginalised communities, ensuring an integral role in the decision-making process for promoting equity and social justice.
• Develop a community-informed DSS platform containing crowdsource building-level data, simulations, and modeling to harness AI capabilities for predictive disaster analysis enabling better preparedness and response.
• Collaborate with local artists to create a public art installation that engages with the community experiences and perceptions, and the simulated future based on the DSS tool, to foster public awareness and engagement with flood risk

Research Methods

• Qualitative (Interview, FGD, ethnographic, participatory action research)
• Quantitative (Mapathon, statistics, Machine Learning)

Location: Penjaringan Subdistrict, North Jakarta

Project Partner: King’s College London, Resilience Development Initiative, Bandung Institute of Technology

Team Member: Hadiyan Wijaya, Muhammad Asa, Arif Budi Darmawan,  Kharis Aulia Alam, Cecillia Noni Fily, William Dion.