We are experiencing a dual paradigm shift -- on the one hand climate shocks are increasing in frequency, intensity and impact. At the same time, a data revolution is unfolding and more information is being generated now than ever before, offering unprecedented opportunities to catalyse climate innovation and influence decision-making.
This creates an opportunity to use data to move from the generic to the specific, spurring us to action, making this about the present and not the future and, more critically, also bringing it into the realm of the personal.
Data has a multiplicity of potential applications to spur climate action:
But to make this happen impactfully, inclusively and at scale, this key input needs to be more accessible, verifiable and interoperable.
<p><em>As Shloka Nath, <a href="https://indiaclimatecollaborative.org/">India Climate Collaborative (ICC) </a>points out, "In the absence of a lot of digital tools in India, about 40 percent to 80 percent of implementation time and budgets are actually spent on data collection."</em></p>
Another fundamental issue around data is who creates it and how it moves. Jatin Singh from Skymet explains: ‘There is this perverse argument that data is the new oil, but data should not be treated like oil. Data is like sunlight...we need to fill the room with sunlight, and people will make better decisions. Sunlight should be free.’
Even where data sets exist, there is a felt need for better and easier accessibility. The idea of making data open-sourced is not new, but for many countries the challenges of doing so and the upfront investment means that much of the critical climate-related data is either not usable or can’t be trusted, or is inaccessible. Implementing open data practices needs effort and technical capabilities to design and set up the infrastructure and ensure that it is updated, curated and easy to find and use.
An example of this in practice is that of Arghyam Foundation that has been working with the Meghalaya government on the Meghalaya Community-led Landscape Management Project (MCLLMP) to strengthen community-led landscape management with collaborative use of ‘open’ data. It not only captures verified water data, but also makes it easy for people, organisations and systems to leverage.
Meanwhile, Digital Green has launched an open-source platform, FarmStack, in 2021, integrating multiple data sources and media channels to provide context-specific information to farmers on environmentally sustainable agronomic practices, enabling greater responsiveness to climate change across value chains.
OpenAQ.org and OpenStreetMap.org are other global examples of making relevant data accessible, for citizens to engage in formal and informal monitoring processes; as is Beckn - an open-source, shared data protocol democratizing data sharing and consumption across all services in the EV (electrical vehicles) ecosystem. Kochi has set up the world's first such open mobility network using Beckn open protocol.
For data to trigger large-scale behavior change, standardised assessments and benefits communication methods are needed. The Government of India’s Bureau of Energy Efficiency (BEE), by introducing energy labelling standards, has created a shared language and helped realign incentives for everyone.
<p><em>Data is also a tool to build community resilience. Reema Nanavati from <a href="http://www.sewa.org">SEWA</a> says, "Until we put data into the hands of the community—farmers, artisans, cattle breeders, dairy farmers, weavers—and find how they use that data, and then design their coping strategies - we will not build resilience." </em></p>
However, the flip side of the coin is that skills and capabilities of the end users need to be developed—specifically the skill to leverage the growing digital infrastructure—in order to collect and make sense of data in large quantities, in real time. Biplab Paul from Naireeta Services adds, "Technology is there, but you need a change maker to take the technology and make the change in reality."
<p><em>Data can build community resilience and create urgency to act collaboratively across key actors in the ecosystem -private, government or citizen sectors. The most meaningful models of data use are those where data and community are deeply interconnected, enabling both credibility and incentives.</em></p>
In India, data-driven climate action can be transformational in creating greater prosperity and economic stability—more jobs, increased energy access, sustainable transportation and health improvements—critical to development overall.
Maria Clara Pinheiro is the Director, Ashoka, South Asia. Maya Chadrasekaran is the Co Founder and Managing Director of Green Artha, a climate venture fund and innovation firm. Vidushi Kamani is the Head of the Ecosystems Programme at Green Artha.