Our goal is to design better policy using games and simulations. Our work involves three inter-related threads:
PolicyLab where we undertake research at the intersection of art, social sciences, and technology to design games and simulations;
School of Policy where we train policymakers and civil society groups in the use of these tools;
Policy in Play where we design artefacts such as graphic novels and games to make policy more accessible.
We work with the Government, Academia, and Civil Society.
Some of our current projects include: Building a game for the UN for students of economics and sustainability studies to understand the Inclusive Wealth Indicator (IWI), an indicator proposed as a complement to the GDP and HDI; ₹ubbish! a game on waste management in Bangalore; SimCity - building simulations to understand and plan for cities in the Indian context; and building a game for the Institute of Plasma Research, a Government of India undertaking.
Games for policy
Be it ‘Go’ with its deceptively simple rules governing smooth ovals across a chequered board or hopscotch that enlivens school yards and streets, games are integral to any community’s cultural heritage. Game play involves and invokes memories of fun, friendship, and sometimes failure too.
It is but natural that the immersive power of games has been harnessed to address real-life issues. A lot of research has gone into understanding how games can be used in different situations and their potential is mostly untapped. Not only do games provide an inexpensive way of mimicking real-life situations, but they also allow us to learn and experience in a safe space, and the learning stays with us.
In the area of policymaking, games can be used in the following ways:
Games for preference elicitation
For policymaking that is responsive to the needs of people, it is critical to include the needs and preferences of the people to design the policy. Games are a powerful medium to collect this intangible, unquantifiable data. Games can model complex systems without losing nuance. As the players interact with the system in the game and decide on their choices, these choices are the data required to understand the players’ preferences and biases. At Fields of View, the preferences elicited through games are fed into our simulations to generate different options for policymakers to choose from.
Example: City game, Namma Khate Namma Kathe, Joint Road Forward etc.
Games for policy testing
In pluralistic societies, there are different policy scenarios that policymakers can potentially opt for. Once policymakers short-list certain choices, they can be tested through games with the target audience. The outcomes of such policy-testing game sessions provide insights for the policymakers to make the most appropriate policy choice.
Examples: Map my city, City game, PIEMAC, Electricity market game etc.
Games for capacity building
As games can model complex systems without losing nuance, games can be used by policymakers and civil society to learn about the policymaking process, and the challenges in different domains of policy-making.
Example: Indian energy game, Rubbish!, Cantor’s world.
Games to make policy accessible
As we can leverage the visual space in games, they provide a powerful tool to communicate with audiences with different literacy-levels and languages.
Simulations for policy
At Fields of View, we design bottom-up, exploratory simulations to make better policy. Models are representations of the real world. A simulation can be understood as a model in action over time. With advanced computing power at our disposal, simulations nowadays can crunch large quantities of different kinds of data, and therefore are a powerful tool to aid policymakers in decision-making.
Traditionally, simulations model either the micro-level or the macro-level. For instance, transportation simulations usually model either bus stops, roads, etc (micro-level) or at the scale of national highways (macro-level). What is required are simulations that operate in between these two levels, at the meso-level. Such meso-level simulations meld both macro and micro-level data. At FoV, we build meso-level simulations.
Moreover, the simulations at FoV are bottom-up, unlike traditional simulations. We model individual actors and their preferences. We elicit these preferences using our games. These preferences are intangible, unquantifiable data, which other simulations do not handle. Thus, in our simulations these individual actors or agents interact with each other and different scenarios emerge. Using these bottom-up simulations, which combine both tangible and intangible data, we generate multiple scenarios, which the policymakers can explore and choose from.
At Fields of View, we design exploratory, bottom-up simulations in the areas of transportation, energy, and urban poverty.
Based on our in-house interdisciplinary design research methodology, we offer different workshops and courses. The 'Fields of View' workshop is our most popular workshop to help define the problem and design in contexts where there are different perspectives/disciplines involved. 'Unpack Play' is our game design course. To know more, click on the images.
Bringing together diverse disciplines, we have developed products in-house to address social and technical challenges. Convers[t]ation is an ATM-like kiosk that can be installed in public spaces such as bus stops where women can come and report cases of sexual harassment. Phoenix is a platform for agent-based modelling. To know more, click on the images.
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