Ethics in smart information systems

Autor: Francesca Pratesi, Roberto Trasarti, Fosca Giannotti

Publikováno v: Ethical Evidence and Policymaking ISBN: 9781447363972

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3efe269e7a7e79cbbc59f03f0092c7b
https://doi.org/10.2307/j.ctv2tbwqd5.14

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Autor: Andrea Passerini, Stan Matwin, Giovanni Comandé, Salvatore Rinzivillo, Fabio Pianesi, Katharina Morik, Riccardo Guidotti, Marco Conti, Alex Pentland, Andrea Passarella, Francesco Bonchi, Dino Pedreschi, Jeroen van den Hoven, Virginia Dignum, Chiara Boldrini, Bruno Lepri, Ciro Cattuto, Josep Domingo-Ferrer, Gennady Andrienko, Alessandro Vespignani, Paolo Ferragina, Anna Monreale, Dirk Helbing, Nuria Oliver, Arno Siebes, Roberto Trasarti, Sune Lehmann, Fosca Giannotti, Albert-László Barabási, Vicenç Torra, János Kertész, Mark Coté, Francesca Chiaromonte, Kimmo Kaski, David Megías Jiménez, Francesca Pratesi, Mirco Nanni, Salvatore Ruggieri, Frank Dignum, Paul Lukowicz

Publikováno v: Ethics and information technology 23 (2021). doi:10.1007/s10676-020-09572-w
Nanni, M, Andrienko, G, Barabási, A L, Boldrini, C, Bonchi, F, Cattuto, C, Chiaromonte, F, Comandé, G, Conti, M, Coté, M, Dignum, F, Dignum, V, Domingo-Ferrer, J, Ferragina, P, Giannotti, F, Guidotti, R, Helbing, D, Kaski, K, Kertesz, J, Lehmann, S, Lepri, B, Lukowicz, P, Matwin, S, Jiménez, D M, Monreale, A, Morik, K, Oliver, N, Passarella, A, Passerini, A, Pedreschi, D, Pentland, A, Pianesi, F, Pratesi, F, Rinzivillo, S, Ruggieri, S, Siebes, A, Torra, V, Trasarti, R, Hoven, J V D & Vespignani, A 2021, ' Give more data, awareness and control to individual citizens, and they will help COVID-19 containment ', Ethics and Information Technology, vol. 2021, pp. 61-66 . https://doi.org/10.1007/s10676-020-09572-w
Ethics and Information Technology, 23
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Trans. Data Priv., 13(1), 61
Scopus-Elsevier
Publons
info:cnr-pdr/source/autori:Nanni M.; Andrienko G.; Barabasi A.-L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comande G.; Conti M.; Cote M.; Dignum F.; Dignum V.; Domingo-Ferrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.M.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Hoven J.; Vespignani A./titolo:Give more data, awareness and control to individual citizens, and they will help COVID-19 containment/doi:10.1007%2Fs10676-020-09572-w/rivista:Ethics and information technology/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:23
King's College London
Transactions on Data Privacy, 13(1)
Transactions on data privacy 13 (2020): 61–66.
info:cnr-pdr/source/autori:Nanni M.; Andrienko G.; Barabasi A.-L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comandé G.; Conti M.; Coté M.; Dignum F.; Dignum V.; Domingo-Ferrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Van Den Hoven J.; Vespignani A./titolo:Give more data, awareness and control to individual citizens, and they will help COVID-19 containment/doi:/rivista:Transactions on data privacy/anno:2020/pagina_da:61/pagina_a:66/intervallo_pagine:61–66/volume:13
Ethics and Information Technology

The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33f12bebed468faf9926e9df75e22bb9
https://openportal.isti.cnr.it/doc?id=people______::db79ff188eeed92ebe8f850872010c62

(So) Big Data and the transformation of the city

Autor: Gennady Andrienko, Stefano Cresci, Luca Pappalardo, Cristina Ioana Muntean, Natalia Andrienko, Angelo Facchini, Evangelos Pournaras, Paolo Cintia, Chiara Boldrini, Riccardo Guidotti, Dino Pedreschi, Francesca Pratesi, Maurizio Tesconi, Aristides Gionis, Michael Mathioudakis, Fosca Giannotti, Roberto Trasarti, Guido Caldarelli

Publikováno v: International Journal of Data Science and Analytics
1 (2020). doi:10.1007/s41060-020-00207-3
info:cnr-pdr/source/autori:Andrienko G.; Andrienko N.; Boldrini C.; Caldarelli G.; Cintia P.; Cresci S.; Facchini A.; Giannotti F.; Gionis A.; Guidotti R.; Mathioudakis M.; Muntean C.I.; Pappalardo L.; Pedreschi D.; Pournaras E.; Pratesi F.; Tesconi M.; Trasarti R./titolo:(So) Big Data and the transformation of the city/doi:10.1007%2Fs41060-020-00207-3/rivista:International Journal of Data Science and Analytics (Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:1

openaire: EC/H2020/654024/EU//SoBigData The exponential increase in the availability of large-scale mobility data has fueled the vision of smart cities that will transform our lives. The truth is that we have just scratched the surface of the researc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e64aa7804a48fe1c2d293a2d3fb02ac
http://hdl.handle.net/11568/1043522

Finding roles of players in football using automatic particle swarm optimization-clustering algorithm

Autor: Iman Behravan, Roberto Trasarti, Seyed Mohammad Hossein Razavi, Seyed Hamid Zahiri

Publikováno v: Big data (Online) 7 (2019): 35–56. doi:10.1089/big.2018.0069
info:cnr-pdr/source/autori:Behravan I.; Zahiri S.H.; Razavi S.M.; Trasarti R./titolo:Finding roles of players in football using automatic particle swarm optimization-clustering algorithm/doi:10.1089%2Fbig.2018.0069/rivista:Big data (Online)/anno:2019/pagina_da:35/pagina_a:56/intervallo_pagine:35–56/volume:7

Recently, professional team sport organizations have invested their resources to analyze their own and opponents' performance. So, developing methods and algorithms for analyzing team sports has become one of the most popular topics among data scient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85ab4bf2285a4bf25d82e9506f5fe3c3
https://openportal.isti.cnr.it/doc?id=people______::6198f80615ab2979a1cdaa244f7efbab

SoBigData: social mining big data ecosystem

Autor: Valerio Grossi, Fosca Giannotti, Roberto Trasarti, Kalina Bontcheva

Publikováno v: 27th International World Wide Web, WWW 2018, pp. 437–438, Lyon, France, 23-27/04/2018
info:cnr-pdr/source/autori:Giannotti F.; Trasarti R.; Bontcheva K.; Grossi V./congresso_nome:27th International World Wide Web, WWW 2018/congresso_luogo:Lyon, France/congresso_data:23-27%2F04%2F2018/anno:2018/pagina_da:437/pagina_a:438/intervallo_pagine:437–438
WWW (Companion Volume)

One of the most pressing and fascinating challenges scientists face today, is understanding the complexity of our globally interconnected society. The big data arising from the digital breadcrumbs of human activities has the potential of providing a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c01f501780c84d17d4938034bf26d2
https://publications.cnr.it/doc/424319