Cancer Survivorship and AI for Well-being White Paper: A European research projects collaborative perspective Callejas CarriĆ³n, Zoraida Flynn, Tom Cancer Survivorship Recovery Well-being Mental health EU projects #CS_AIW Collaboration White paperTechnology Artificial intelligence Smart devices Data collection Privacy Interoperability Health records User engagement Technology Adoption Usability Ethical barriers Data quality Transfer to market The Cancer Survivorship - AI for Well-being cluster (#CS_AIW) has brought together 11 EU-funded projects working in artificial intelligence (AI) for healthcare and well-being with the aim of transcending the individual project experiences and stop working in silos. The White Paper presents the #CS_AIW initiative and our collective shared vision, providing an overview of the participating projects and it reports on the achievements and lessons learned from our collaboration, including both the benefits obtained and the difficulties addressed. The experience with #CS_AIW to date has proven that collaboration within the cluster has been extremely beneficial and useful to foster an ethos of cross-fertilization engagement, share best practices, boost cross-sector collaboration, increase the participation of end user communities, and reach a wider audience. The activities organized, which encompass meetings, roundtable discussions, podcasts, a better practices guide, a common data space and the white paper itself, have proven to be an inherited valued initiative to generate, activate and communicate knowledge and innovation in the areas of mental health, well-being, cancer recovery, patient support and participatory research. 2023-05-26T06:56:31Z 2023-05-26T06:56:31Z 2023-05 report Callejas, Zoraida; Flynn, Tom (eds.) (2023) Cancer Survivorship and AI for Well-being White Paper: A European research projects collaborative perspective. [https://hdl.handle.net/10481/81842] https://hdl.handle.net/10481/81842 eng info:eu-repo/grantAgreement/EC/H2020/823907 info:eu-repo/grantAgreement/EC/H2020/875351 info:eu-repo/grantAgreement/EC/H2020/875192 info:eu-repo/grantAgreement/EC/H2020/875052 info:eu-repo/grantAgreement/EC/H2020/860627 info:eu-repo/grantAgreement/EC/H2020/875358 info:eu-repo/grantAgreement/EC/H2020/875329 info:eu-repo/grantAgreement/EC/H2020/875392 info:eu-repo/grantAgreement/EC/H2020/875406 info:eu-repo/grantAgreement/EC/H2020/875171 info:eu-repo/grantAgreement/EC/H2020/65231 http://creativecommons.org/licenses/by-nc/4.0/ open access AtribuciĆ³n-NoComercial 4.0 Internacional