Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Jurić, Tado"'
Autor:
Jurić, Tado1 tado.juric@unicath.hr
Publikováno v:
Church in the World / Crkva u Svijetu. 2024, Vol. 59 Issue 3, p483-517. 35p.
Autor:
Jurić Tado
Publikováno v:
Comparative Southeast European Studies, Vol 70, Iss 3, Pp 540-553 (2022)
This paper presents a review of Big Data sources that could be helpful in determining, estimating, and forecasting the forced emigration flows of refugees from Ukraine. The text shows how a Big Data approach can help assess refugees’ intentions. Us
Externí odkaz:
https://doaj.org/article/5a7a4a119b8d488b81946faa8ac06dcf
The 'structural pessimism' of the EU periphery: Measures to establish a new revitalisation paradigm.
Autor:
Jurić, Tado
Publikováno v:
European View; Autumn2024, Vol. 23 Issue 2, p139-148, 10p
Autor:
Jurić Tado
Publikováno v:
Comparative Southeast European Studies, Vol 70, Iss 1, Pp 125-152 (2022)
This paper was created as a result of the observed instability of external emigration data from Croatian official data in comparison to data from the statistical offices of the European Union (Eurostat) and Germany (DESTATIS). In this study, the auth
Externí odkaz:
https://doaj.org/article/42e083f5a3b94a4693ae8855e2c41309
Autor:
Jurić, Tado
Publikováno v:
Zbornik radova Međunarodne naučne konferencije o digitalnoj ekonomiji DIEC / Book of Proceedings of International Scientific Conference on Digital Economy DIEC. 4(4):7-26
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1034608
Autor:
Jurić, Tado
Publikováno v:
27
Background: This paper shows that Big Data and the so-called tools of digital demography, such as Google Trends (GT) and insights from social networks such as Instagram, Twitter and Facebook, can be useful for determining, estimating, and predicting
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/78117
Autor:
Juric, Tado
Publikováno v:
Athens Journal of Mediterranean Studies, 7, 1-25
Background: Understanding how people react to the COVID-19 crisis, and what the consequences are of the COVID-19 pandemic is key to enable public health and other agencies to develop optimal intervention strategies. Objective: Because the timely iden
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/73838
Autor:
Juric, Tado
Publikováno v:
JMIRx Med, 2, 4
Background: This paper shows that the tools of digital demography, such as Google Trends, can be used for determining, estimating, and predicting the migration of health care workers (HWs), in this case, from Croatia and the Western Balkans (WB) to G
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/77077