Nihit Goyal
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Responsible AI Governance in the Public Sector: Explaining Contextual Dynamics Through a Realist Synthesis Review Open
Responsible AI (RAI) governance is increasingly understood not as a static checklist of principles, but as a dynamic process embedded in institutional, organisational, and sociotechnical contexts. While several ethical frameworks exist, tr…
Do Transnational Municipal Networks Accelerate the Net‐Zero Transition? A Mixed‐Methods Analysis of the <span>C40</span> Cities Initiative and the Challenge of Urban Climate Change Mitigation Open
Transnational municipal networks (TMNs) such as C40 or ICLEI have been posited to foster city‐to‐city learning in accelerating climate change mitigation and, thereby, facilitating the transition to net‐zero greenhouse gas emissions. Howeve…
(Not) just policy success: Incorporating justice in policy evaluation Open
Despite the recognition that policy evaluations are inherently normative as they are shaped by political and social values, justice is rarely addressed systematically in policy evaluation practice or research. By overlooking structural ine…
Next-Generation Digital Ecosystem for Climate Data Mining and Knowledge Discovery: A Review of Digital Data Collection Technologies Open
Climate change has been called "the defining challenge of our age" and yet the global community lacks adequate information to understand whether actions to address it are succeeding or failing to mitigate it. The emergence of technologies …
From Niches to the Mainstream: A Computational Review and Research Agenda for Policy Innovation Open
Innovation in public policy is a rapidly expanding field, highlighting its critical role in addressing complex societal challenges. This bibliometric review (n = 17,264) synthesizes over 50 years of scholarship, systematically identifying …
A semi-automated approach to policy-relevant evidence synthesis: combining natural language processing, causal mapping, and graph analytics for public policy Open
Although causal evidence synthesis is critical for the policy sciences—whether it be analysis for policy or analysis of policy—its repeatable, systematic, and transparent execution remains challenging due to the growing volume, variety, an…
Policy innovation in the digital era: Computational text analysis of media narratives on smart metering in India Open
Although novel policies will be especially important for addressing grand societal challenges, how the digital transition influences the ability of governments to adopt new policies remains unclear. In this study, I explore the relationshi…
Ambient air pollution and consumer spending: Evidence from Spain Open
Research on the economic burden of air pollution has focused primarily on its macroeconomic impact. However, as some studies have found that air pollution can lead to avoidance behavior–for example, reducing the time spent outdoors–we hypo…
Ambient air pollution and consumer spending: Evidence from Spain Open
Research on the economic burden of air pollution has focused primarily on its macroeconomic impact. However, as some studies have found that air pollution can lead to avoidance behavior–for example, reducing the time spent outdoors–we hypo…
Did it increase energy consumption? A difference-in-differences evaluation of a rural electrification policy in Gujarat, India using night-time lights data Open
Electricity access is an important issue and building capacity for it requires drawing relevant lessons from past policies. In this study, we evaluate the effect of the Jyotigram Yojana, or the lighted village scheme, a supply-side policy …
A semi-automated approach to policy-relevant evidence synthesis: Combining natural language processing, causal mapping, and graph analytics for public policy Open
Although causal evidence synthesis is critical for the policy sciences – whether it be analysis for policy or analysis of policy – its repeatable, systematic, and transparent execution remains challenging due to the growing volume, variety…
Brown-out of policy ideas? A bibliometric review and computational text analysis of research on energy access Open
Introduction The target of universal access to affordable, reliable, and modern energy services—key for individual, social, and economic well-being—is unlikely to be achieved by 2030 based on the current trend. Public policy will likely ne…
Value Change, Value Conflict, and Policy Innovation: Understanding the Opposition to the Market-Based Economic Dispatch of Electricity Scheme in India Using the Multiple Streams Framework Open
As policy innovation is essential for upscaling responsible innovation, understanding its relationship to value change(s) occurring or sought in sociotechnical systems is imperative. In this study, we ask: what are the different types of v…
Predicting European Cities’ Climate Mitigation Performance using Machine Learning Open
Although cities have risen to prominence as climate actors, emissions data scarcity has been the primary challenge to evaluating their performance. Here we develop a scalable, replicable machine learning methodology for evaluating the miti…
Limited Demand or Unreliable Supply? A Bibliometric Review and Computational Text Analysis of Research on Energy Policy in India Open
Although India has made significant progress towards the sustainable development goal on energy (SDG 7), further policy innovations are essential for closing the gap, addressing geographic disparities, and harnessing energy for transformat…
Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching Open
While the emergence of big data raises concerns regarding governance and public policy, it also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a whole, i.e., research concerning policy analysis a…
Explaining Policy Success Using the Multiple Streams Framework: Political Success Despite Programmatic Failure of the Solar Energy Policy in Gujarat, India Open
Although many scholars have studied policy success and failure, the relationship of these phenomena to the policy process—essential for an explanatory or anticipatory analysis—remains unclear. I address this gap by linking the policy succe…
Embracing the future of the policy sciences: big data in pedagogy and practice Open
Although the emergence of Big Data provides an opportunity to synthesize and mobilize ever greater amounts of policy-relevant knowledge, it has not received adequate attention in studies of policy pedagogy and practice. In this chapter, we…
The association of in-utero exposure to ambient fine particulate air pollution with low birth weight in India Open
A growing body of research indicates that in-utero exposure to ambient fine particulate matter (PM 2.5 ) is a risk factor for low birth weight (LBW). However, research on India, where the high and rising level of ambient air pollution is a…
Why and how does the regulation of emerging technologies occur? Explaining the adoption of the EU General Data Protection Regulation using the multiple streams framework Open
Why and how the regulation of emerging technologies occurs is not clear in the literature. In this study, we adapt the multiple streams framework – often used for explaining agenda-setting and policy adoption – to examine the phenomenon. W…
Why and how does the regulation of emerging technologies occur? Explaining the adoption of the EU General Data Protection Regulation using the multiple streams framework Open
Why and how the regulation of emerging technologies occurs is not clear in the literature. In this study, we adapt the multiple streams framework – often used for explaining agenda‐setting and policy adoption – to examine the phenomenon. W…
Policy Diffusion Through Multiple Streams: The (Non‐)Adoption of Energy Conservation Building Code in India Open
Although the diffusion of policy innovations can promote sustainability, how this process can be accelerated remains unclear. I address this gap by conceptualizing policy transfer and policy diffusion using the multiple streams framework (…
Measuring What Matters, Where It Matters: A Spatially Explicit Urban Environment and Social Inclusion Index for the Sustainable Development Goals Open
The Urban Environment and Social Inclusion Index (UESI) creates a new spatial framework to measure progress toward Sustainable Development Goal 11 (SDG-11). SDG-11 aims for cities to be both sustainable and inclusive by 2030 and conceptual…
Next-Generation Digital Ecosystem for Climate Data Mining and Knowledge Discovery: A Review of Digital Data Collection Technologies Open
Climate change has been called "the defining challenge of our age" and yet the global community lacks adequate information to understand whether actions to address it are succeeding or failing to mitigate it. The emergence of technologies …