CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
COMPLAPSE develops a dynamic computational model to predict smoking lapse risks, integrating insights from behavioral science, engineering, and computer science. The project aims to create personalized digital interventions for smoking cessation, addressing the complexities of cravings and social influences on smoking…
Tobacco smoking remains the leading preventable cause of premature morbidity and mortality in Europe.
Gold standard treatment for smoking cessation includes pharmacotherapy and behavioural support.
However, smoking lapses influenced by momentary fluctuations in cravings and social cues are a key source of treatment failure. COMPLAPSE aims to advance the state-of-the-art by developing and validating a dynamic computational model of lapse risk, improving the precision of static behaviour change…
TAMPEREEN KORKEAKOULUSAATIO SR
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
LOS ANGELES UCLA SANTA BARBARA UCSB DAVIS UCD RIVERSIDE UCR SAN DIEGO UCSD SANTA CRUZ UCSC IRVIN
United States, Berkeley
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.
