Approach for Intellectual Potential Analysis of the Scientific Institution DOI Creative Commons
Farhad Yusifov

Digital Transformation, Journal Year: 2023, Volume and Issue: 29(3), P. 43 - 53

Published: Sept. 24, 2023

An assessment of the intellectual potential scientific personnel on platform electronic demography was carried out. The current situation in field forming population registers, conducting demographic studies, as well a number works related to use new sources information and big data have been studied. Analyzed studies cover human resources, country issues migration. To determine factors influencing countries, an analysis trends economic activity population, level education, system training its financing made. In order monitor predict accordance with existing potential, conduct analytical statistical analysis, Unified Electronic Information System Scientific Personnel has created. article analyzes based registry personnel, which are clustered using k-means method, is machine learning algorithm. Based results obtained, age groups, academic degrees, universities publications were Subsequent will take into account productivity migration, great importance terms assessing country’s potential.

Language: Английский

Global flows and rates of international migration of scholars DOI Creative Commons
Aliakbar Akbaritabar, Tom Theile, Emilio Zagheni

et al.

Published: April 1, 2023

Lack of reliable and comprehensive migration data is one the major reasons that prevents advancements in our understanding causes consequences processes, including for specific groups like high-skilled migrants.We leverage large-scale bibliometric from Scopus OpenAlex to trace global movements a group innovators: scholars.We developed pre-processing steps offered best practices measurement identification events data.Our results show high level correlation between count scholars most countries.While magnitude observed larger than Scopus, bilateral flows among top pairs origin destination countries are consistent two databases.Even though has higher coverage non-Western countries, highest correlations with Western cuntries.We share aggregated estimates international rates, flows, at country level, expect will enable researchers improve scholars, forecast future mobility academic talent. Background & SummaryScientists contribute research development 1, 2 .While there wealth literature on brain drain 3 , gain 4 circulation 5,6 still lack scientists 7,8 .Here, we address this by leveraging sources data, i.e., Elsevier's proprietary 9 openly available 10 database.Building previous experiences 11-14 evaluated different measurements analytical strategies.We provide how re-purpose information prepare rates flow study worldwide.In addition describing steps, showcasing illustrative examples measures trends, more elaborated studies talent circulation.Preparing providing public access quality well-established tradition scientific field demography 15 some its sub-fields dealing longevity (e.g., Human Mortality Database 16 ), fertility Fertility 17 name few.Following practice, national contexts such as nordic nations have exemplary register main life their whole population covering birth, death, marriage divorce enabling longitudinal 18 .An exception availability reliability sub-field 19,20 .It difficult find high-quality .Some efforts harmonizing worldwide, e.g., Integrated Public Use Microdata Series (IPUMS) 21 shown migration, even neighboring can lead paradoxical

Language: Английский

Citations

5
Social cartography and satellite-derived building coverage for post-census population estimates in difficult-to-access regions of Colombia DOI Creative Commons
Lina María Sanchez-Céspedes, Douglas R. Leasure, Natalia Tejedor‐Garavito

et al.

Population Studies, Journal Year: 2023, Volume and Issue: 78(1), P. 3 - 20

Published: March 28, 2023

Effective government services rely on accurate population numbers to allocate resources. In Colombia and globally, census enumeration is challenging in remote regions where armed conflict occurring. During preparations, the Colombian National Administrative Department of Statistics conducted social cartography workshops, community representatives estimated dwellings people throughout their regions. We repurposed this information, combining it with remotely sensed buildings data other geospatial data. To estimate building counts sizes, we developed hierarchical Bayesian models, trained using nearby full-coverage enumerations assessed 10-fold cross-validation. compared models assess relative contributions knowledge, buildings, combination model fit. The Community was unbiased but imprecise; Satellite more precise biased; Combination best for overall accuracy. Results reaffirmed power estimation highlighted value incorporating local knowledge.

Language: Английский

Citations

4
Thinking spatially in computational social science DOI Creative Commons
Aliakbar Akbaritabar

EPJ Data Science, Journal Year: 2024, Volume and Issue: 13(1)

Published: Feb. 26, 2024

Abstract Deductive and theory-driven research starts by asking questions. Finding tentative answers to these questions in the literature is next. It followed gathering, preparing modelling relevant data empirically test answers. Inductive research, on other hand, with representation finding general patterns data. Ahn suggested, his keynote speech at seventh International Conference Computational Social Science (IC 2 S ) 2021, that way this represented could shape our understanding type of we find for He discussed specific learning approaches enable a meaningful embedding space allow spatial thinking broaden computational imagination. In commentary, I summarize Ahn’s related publications, provide an overview use metaphor sociology, discuss how such can help both inductive deductive propose future avenues benefit from thinking, pose some still open

Language: Английский

Citations

1
MyTimeUse: An Online Implementation of the Day-Reconstruction Method DOI Open Access
R. Gordon Rinderknecht, Long Doan, Liana C. Sayer

et al.

Journal of Time Use Research, Journal Year: 2022, Volume and Issue: 1, P. 23 - 50

Published: July 28, 2022

Time diaries can record precise measures of daily activities but few such have been developed for use via the internet, which limits our knowledge how social, economic, and demographic factors affect life ability to investigate trends over time. We developed, refined, deployed an original online time diary, mytimeuse.com, study in a longitudinal sample graduate students U.S. residents recruited online. This article overviews features we implemented increase data quality response rates. The diary is based on day-reconstruction method, has participants report each primary activity selected day, then records further contextual information about activity, as social engagement, multitasking, emotions. complete three their evaluations platform. Feedback indicates most found be intuitive easy use, who made account with platform fully participated study.

Language: Английский

Citations

4
Leveraging Digital and Computational Demography for Policy Insights DOI Creative Commons
Ridhi Kashyap, Emilio Zagheni

Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 327 - 344

Published: Jan. 1, 2023

Language: Английский

Citations

2
Quantifying Attrition in Science: A Cohort-Based, Longitudinal Study of Scientists in 38 OECD Countries DOI Open Access
Marek Kwiek, Łukasz Szymula

Published: Nov. 10, 2023

In the present research, we explore how members of global scientific community leave academic science and attrition differs across genders, disciplines, over time. Our approach is global, cohort-based, longitudinal: track individual male female scientists time quantify phenomenon traditionally referred to as “leaving science.” Using publication metadata from Scopus—a bibliometric database publications citations—we follow details publishing careers who started in 2000 (N = 142,776) 2010 232,843). study restricted 16 STEMM disciplines (science, technology, engineering, mathematics, medicine), scholarly output two cohorts until 2022. Survival analyses show that becomes ever less gendered, while regression models quantity more consequential than quality for careers. Behind aggregated changes at level all combined, widely nuanced were found occur Attrition means different things men versus women depending on discipline; moreover, it entering workforce. Finally, datasets tested this study, opening new opportunities gender disciplinary differences attrition.

Language: Английский

Citations

1
Znikający naukowcy. Co ustrukturyzowane Big Data mówią nam o rezygnacji z nauki w 38 krajach OECD? DOI Open Access
Marek Kwiek, Łukasz Szymula

Nauka, Journal Year: 2024, Volume and Issue: unknown, P. 23 - 52

Published: March 27, 2024

W pracy analizujemy zjawisko rezygnacji z nauki akademickiej i pokazujemy, jak odchodzenie różni się między kobietami mężczyznami, dyscyplinami akademickimi na przestrzeni czasu. Prezentowane podejście jest kompleksowe: globalne, oparte kohortach naukowców, podłużne – obserwujemy działalność publikacyjną indywidualnych naukowców w czasie. Korzystając metadanych pochodzących bazy Scopus globalnej bibliometrycznej danych publikacji cytowań kariery publikacyjne 38 krajów OECD, którzy rozpoczęli publikowanie 2000 r. ( N = 142 776) 2010 232 843). przetestowano przydatność dużych zbiorów bibliometrycznych do globalnych analiz karier naukowych.

Citations

0
Does Twitter Data Mirror the European North–South Family Ties Divide? A Comparative Analysis of Tweets About Family DOI Creative Commons
Sofía Gil‐Clavel, Clara H. Mulder

Population Research and Policy Review, Journal Year: 2024, Volume and Issue: 43(4)

Published: June 25, 2024

Abstract Previous research on the relationship between geographical distance and frequency of contact family members has shown that strength ties differs Northern Southern Europe. However, little is known about how are reflected in peoples’ conversations social media, despite showing relevance media data for understanding users’ daily expressions emotions thoughts based their immediate experiences. This work investigates question whether Twitter use patterns Europe mirror North–South divide by analyzing potential differences family-related tweets users European countries. study relies a longitudinal database derived from collected January 2012 December 2016. We perform comparative analysis using Bayesian generalized multilevel models together with Linguistic Inquiry Word Count software. analyze association regional tweeting family. Results show family, refer to past versus present tense, close extended

Language: Английский

Citations

0
Mapping subnational gender gaps in internet and mobile adoption using social media data DOI Open Access
Casey Breen, Masoomali Fatehkia, Jiani Yan

et al.

Published: Aug. 15, 2024

The digital revolution has ushered in many societal and economic benefits. Yet access to technologies such as mobile phones internet remains highly unequal, especially by gender the context of low- middle-income countries. While national-level estimates are increasingly available for countries, reliable, quantitative inequalities at subnational level lacking. These estimates, however, essential monitoring gaps within countries implementing targeted interventions global sustainable development goals, which emphasize need close both between We develop adoption 2,158 regions 118 (LMICs), a where penetration is low disfavoring women large. construct these applying machine-learning algorithms Facebook user counts, geospatial data, indicators, population composition data. calibrate assess performance using ground-truth data from subnationally-representative household survey 31 LMICs. Our results reveal striking disparities LMICs, with implications policy formulation infrastructure investment. contribute 21% less likely use 17% own than men, corresponding over 385 million more men owning phone 360 internet.

Language: Английский

Citations

0
New Data Sources for Demographic Research DOI Creative Commons
Casey Breen, Dennis M. Feehan

Population and Development Review, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Abstract We are in the early stages of a new era demographic research that offers exciting opportunities to quantify phenomena at scale and resolution once unimaginable. These scientific possibilities opened up by sources data, such as digital traces arise from ubiquitous social computing, massive longitudinal datasets produced digitization historical records, information about previously inaccessible populations reached through innovations classic modes data collection. In this commentary, we describe five promising their potential appeal. identify cross‐cutting challenges shared these argue realizing full will demand both innovative methodological developments continued investment high‐quality, traditional surveys censuses. Despite considerable challenges, future is bright: lead demographers develop theories revisit sharpen old ones.

Language: Английский

Citations

0