Currently, community-scale sustainability and resilience monitoring, evaluation, and planning are restrained and hampered due to a lack of effective measurement of indicators from the grassroots level, dissemination of information among the multiple stakeholders, and dynamic data analytics to derive the spatio-temporal dynamic variability for selected parameters or scenarios. This requires models for deriving dynamic decisions that can translate to policy recommendations, and future estimation or prediction to plan new interventions to cope with dynamic changes in the ecosystem.
To address the challenge for effective community resilience assessment, we have proposed a technology-based crowd-sourced platform, capable of carrying assessments through a bottom-up approach and bringing multiple stakeholders on a common knowledge acquisition level to make informed community decisions, which can solve community-level sustainability and resilience assessment challenges. The SREE crowd-sourced platform was built to derive geo-enabled varying sustainability and resilience indices for various themes such as Agriculture, Skills & livelihood, Education, Health, and Water, at the household level, community level, district, state, and national level ensuring inclusivity amongst all stakeholders