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1.
Technological and analytical review of contact tracing apps for COVID-19 management
Rajan Gupta, Gaurav Pandey, Poonam Chaudhary, Saibal K. Pal, 2021, original scientific article

Abstract: Role of technology is improving for COVID-19 management all around the world. Usage of mobile applications, web applications, cloud computing, and related technologies have helped many public administrators worldwide manage the current pandemic. Contact tracing applications are such mobile app solutions that are used by more than 100 countries today. This study presents a structured research review-based framework related to multiple contact tracing applications. The various components of the framework are related to technological working, design architecture, and feature analysis of the applications, along with the analysis of the acceptance of such applications worldwide. Also, components focusing on the security features and analysis of these applications based on Data Privacy, Security Vetting, and different attacks have been included in the research framework. Many applications are yet to explore the analytical capabilities of the data generated through contact tracing. The various use-cases identified for these applications are detecting positive case probability, identifying a containment zone in the country, finding regional hotspots, monitoring public events & gatherings, identifying sensitive routes, and allocating resources in various regions during the pandemic. This study will act as a guide for the users researching contact tracings applications using the proposed four-layered framework for their app assessment.
Keywords: novel corona virus, location technology, contact tracing applications, Aarogya Setu App, data science, data analysis
Published in RUNG: 02.04.2021; Views: 1901; Downloads: 0
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2.
Web mining and analytics for improving e-government services in India
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2017, independent scientific component part or a chapter in a monograph

Abstract: The ever increasing technology usage and the globalization have given rise to the need of quick, accurate and smarter handling of information by organizations, states, nations and the entire globe. For every nation to be under any form of government, it became mandatory to have shorter turnaround time for their interactions with citizens. This pressure gave rise to the concept of e-Governance. It has been implemented by various nations and even UN reported an increase in E-Governance activities around the world. However, the major problems that need to be addressed by developing nations are digital divide and lack of e-Infrastructure. India started its e-Governance plan through a proposal in 2006 with establishment of National e-Governance Plan popularly known as NeGP headed by Ministry of Communications and Information Technology, Government of India. As per the Electronic Transaction and Aggregation Layer, millions of transactions are taking place on regular basis. Within 2015 itself, over 2 billion transactions have been carried out by the Indian citizens in various categories and sectors like agriculture, health, and the likes. For central government projects alone, around 980 million electronic transactions have taken place, while for state government projects, the combined total of all the states is close to 1.2 billion. With the kind of data getting generated through e-Governance initiative in India, it will open up lot of opportunities for data analysts & mining experts to explore this data and generate insights out of them. The aim of this chapter is to introduce various areas and sectors in India where analytics can be applied for e-Governance related entities like citizens, corporate and government departments. It will be useful for researchers, academicians and students to understand various areas in E-Governance where web mining and data analysis can be applied. The theoretical background has been supported by practical case study for better understanding of the concepts of web analysis and mining in the area of E-Governance.
Keywords: web mining, data mining, e-governance, analytics, data science, public sector
Published in RUNG: 01.04.2021; Views: 1971; Downloads: 60
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3.
Citizen relationship management by the Government of India through social media channels
Saibal K. Pal, Sunil K. Muttoo, 2018, independent scientific component part or a chapter in a monograph

Abstract: This chapter outlines how Citizen Relationship Management (CRM), a concept derived from the more commonly known Customer Relationship Management, can enable a government to create awareness among citizens about the myriad of services provided by the public sector. The system also helps in attracting and recording responses from the citizens, thereby enabling government employees in responding to citizens’ concerns via social media.
Keywords: citizen relationship management, e-governance, social media, politics, data science
Published in RUNG: 31.03.2021; Views: 2070; Downloads: 0
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4.
Data colonialism : highlighting socioeconomic disparity of indigenous people
2020, radio or television broadcast, podcast, interview, press conference

Keywords: data sets, indigenous, heritage, ancestry, data ownership, artistic research, intermedia, identity, data science, coding
Published in RUNG: 25.02.2021; Views: 2116; Downloads: 19
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5.
The Future of Film: Appropriation rather than Preservation
Eszter Polonyi, unpublished conference contribution

Keywords: film studies, art history, library and data science, archive theory, contemporary art, intangible heritage, cultural heritage
Published in RUNG: 11.12.2020; Views: 2566; Downloads: 0
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6.
An unsung 16mm public film archive at Pratt Institute
Eszter Polonyi, unpublished conference contribution

Keywords: film studies, media archaeology, analog media, library and data science
Published in RUNG: 11.12.2020; Views: 2432; Downloads: 0
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