Civil society as policy entrepreneur in agriculture and forestry sector amidst COVID-19 lockdown in India

Prateek, Gautam; Kumar, Kaustubh; Kar, Pranamesh; Krishnan, Aathira

doi:10.1080/17516234.2021.1903665

Cited by 4 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the five policy spaces identified by Prateek, Kumar, Kar, and Krishnan (2021), online platforms constitute an unprecedented avenue to develop some of the tactics presented above and influence informally policy-making. These platforms offer civil society organizations and social movements an opportunity to develop creative advocacy campaigns to raise awareness, as well as to coordinate their actions (e.g.…”

mentioning

confidence: 99%

Concluding remarks

Duberry¹

2022

Artificial Intelligence and Democracy

View full text Add to dashboard Cite

Concluding remarksThis book explores AI-mediated citizen-government relations. It aims to answer the question: where and how is artificial intelligence (AI) used in this relation, which is essential for "the quality of democracy and strengthening civic capacity" (OECD, 2001, p.1).Governments have progressively adopted a number of technology innovations to respond to a growing demand to (1) digitalize public action and optimize its operations and services (de Feraudy, 2019), and (2) increase citizen engagement in the development, implementation, and evaluation of public policies (de Feraudy & Saujot, 2017). The e-government efforts were mainly to take advantage of technological advances to (a) optimize the effectiveness and efficiency of government services, (b) put the citizen back at the center of the design of services rendered by organizations, and (c) increase trust in government (OECD, 2020). AI is increasingly used in the fields of healthcare, education, social and cultural services since it can be considered useful for six types of government challenges: allocating resources, analyzing large datasets, overcoming the shortage of experts, predicting scenarios, managing procedural and repetitive tasks, and diverse data aggregation and summarization (Mehr, Ash, & Fellow, 2017). The taxonomy developed by Misuraca and Van Noordt (2020) provides numerous examples of how AI is used by governments in Europe (European Union and United Kingdom, Norway and Switzerland) to improve knowledge management capacity (e.g. assist in the browsing and finding of relevant data in Slovakia), map and predict risks (e.g. predicts burglaries in Switzerland), and automatize data collection and analysis (e.g. process satellite imagery in Estonia), public services (e.g. self-driving snowploughs in Norway), decision-making processes (e.g. nursery child recruitment system used in Warsaw), and the communication with citizens (e.g. chatbot to answer frequently asked questions in Latvia).But the citizen-government relation is more than the delivery of governmental services. It is also about including civil society in the policy-making cycle (OECD, 2001). The Multiple Streams Framework (MSF) is a powerful conceptualization of the policy process, and specifically agenda setting (Kingdon, [1984(Kingdon, [ ] 2011. It argues that policy entrepreneurs (e.g. civil society) need resources (e.g. technology) and specific skills (e.g. engaging multiple audience) to develop and implement tactics (e.g. narrative reframing) through problem, policy and politics streams, to identify and exploit successfully open

show abstract

mentioning

confidence: 99%