31. Technology applications for health safety decision making under COVID-19 pandemic managementRajan Gupta, Saibal K. Pal, Aayush Khattar, King Baliyan, 2020, published scientific conference contribution Abstract: A lot of new technological applications are emerging to combat the deadly novel coronavirus. This research study gives an overview of different applications that are developed by Government Institutions, Private Firms, and Individual Citizens across the world. The applications are reviewed based on their widespread use, effectiveness, availability to the broader audience, cost to implement it, concerns regarding the privacy and information collected by these apps and systems. The major eight areas of technology applications covered in this study are Contact Tracing, Social Distancing & Mask Detection, Live-feeds based Dashboards, Information Searching, Big Data and Robotics, Web-based Disease Surveillance Tools, Patient-level Information, Doctor-Patient interaction, and Informatory Chatbots. More than 100 apps were collected for this research survey to conclude the
different categories in which technology is being used for decision making. This study will be useful for various health
administrators, professionals, researchers, and academicians.
Keywords: COVID-19, coronavirus, technology applications, contact tracing, social distancing, chatbots, data lakes
Published in RUNG: 02.04.2021; Views: 4077; Downloads: 84
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32. Web mining and analytics for improving e-government services in IndiaRajan 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: 3339; Downloads: 63
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33. Citizen relationship management by the Government of India through social media channelsSaibal 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: 3464; Downloads: 0
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34. Data analytics for better branding of e-governance and e-business systems : case of "digital India" campaignRajan Gupta, Saibal K. Pal, Sunil K. Muttoo, 2020, independent scientific component part or a chapter in a monograph Abstract: Efficient e-governance leads to stronger democracy which can be achieved through higher trust, visibility, and transparency in the system, which can be acquired through effective branding. Various techniques of data analytics can help in achieving trust
and transparency in the system. The objective of the study is to resolve various issues in the public sector through analytics-based improvement of different parameters of branding, namely, communication, consistency, clarity, and competition. The research design of the study is a combination of both qualitative and quantitative techniques like descriptive statistics. The main techniques emerged for data analysis includes rating and ranking analysis of government apps, social media analytics, text and
speech analytics, media analytics, statistical analytics and data mining, telecom analytics, and people demographics for government programs. It was found that the “Digital India” campaign under e-governance initiative was highly successful based on different kinds of analytical methods found in the study.
Keywords: e-governance, data analytics, e-business, business systems, information systems, government campaigns, branding
Published in RUNG: 31.03.2021; Views: 3396; Downloads: 15
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35. Dynamics of sunspot series on time scales from days to years : correlation of sunspot births, variable lifetimes, and evolution of the high-frequency spectral componentAlexander Shapoval, Jean-Louis Le Mouël, M. Shnirman, Vincent Courtillot, 2017, original scientific article Keywords: sunspots series, average lifetime, average birthrate, data analysis
Published in RUNG: 30.03.2021; Views: 3080; Downloads: 109
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37. Data colonialism : highlighting socioeconomic disparity of indigenous people2020, 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: 3673; Downloads: 21
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38. Expanded art for a social technology : counting craters in dialog between human and machine2020, radio or television broadcast, podcast, interview, press conference Keywords: expanded installations, mixed media, internet, privacy, decentralized infrastructures, workshop method, transgenerational, personal data
Published in RUNG: 09.02.2021; Views: 3516; Downloads: 22
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39. New Data Policy in South-East Europe : (related to the SEE-MHEWS-A project)Klemen Bergant, unpublished conference contribution Abstract: Conference contribution presents the process of development of a new data policy for the South-East European Multi-Hazard Early Warning Advisory System project (SEE-MHEWS-A Project). The project, led by the World Meteorological Organization, is currently in a demonstration phase. National meteorological and hydrological services (NMHSs) from 17 countries in the South-East Europe are involved in the project. With common SEE-MHEWS Data Policy Agreement the involved NMHSs express their willingness and provide legal framework for the exchange of all available meteorological and hydrological data with a main purpose to improve their meteorological and hydrological forecasts and warnings. The project data policy could be seen as a first step towards the open data policy in the region.
Keywords: Multi-Hazard Early Warning System, Meteorological and Hydorlogical Warnings, Data Exchnage, Data Policy
Published in RUNG: 06.01.2021; Views: 3525; Downloads: 0
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40. Analysis of Data from Surface Detector Stations of the AugerPrime UpgradeÁlvaro Taboada, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2019, published scientific conference contribution Keywords: Pierre Auger Observatory (PAO), ultra-high energy cosmic rays, AugerPrime upgrade of the PAO, Scintillator Surface Detector (SSD), Water-Cherenkov Detectors (WCDs), AugerPrime data analysis
Published in RUNG: 21.12.2020; Views: 3732; Downloads: 68
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