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Title | Human Behaviour-Change Project |
Description | Advancing and Applying the Science of Behaviour Change through Machine The Human Behaviour-Change Project (HBCP) is a ground-breaking collaboration between behavioural scientists, computer scientists and systems architects, aiming to revolutionise methods for synthesising evidence about behaviour change and generate |
Keywords | Human,Behaviour,Change,Project |
WebSite | humanbehaviourchange.org |
Host IP | 31.193.2.47 |
Location | United Kingdom |
Site | Rank |
US$1,524,594
Last updated: 2023-05-09 08:20:27
humanbehaviourchange.org has Semrush global rank of 6,942,377. humanbehaviourchange.org has an estimated worth of US$ 1,524,594, based on its estimated Ads revenue. humanbehaviourchange.org receives approximately 175,915 unique visitors each day. Its web server is located in United Kingdom, with IP address 31.193.2.47. According to SiteAdvisor, humanbehaviourchange.org is safe to visit. |
Purchase/Sale Value | US$1,524,594 |
Daily Ads Revenue | US$1,408 |
Monthly Ads Revenue | US$42,220 |
Yearly Ads Revenue | US$506,635 |
Daily Unique Visitors | 11,728 |
Note: All traffic and earnings values are estimates. |
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humanbehaviourchange.org. 86399 | A | humanbehaviourchange.org. 86399 | IP: 31.193.2.47 |
humanbehaviourchange.org. 86400 | NS | humanbehaviourchange.org. 86400 | NS Record: ns1.ukfast.net. |
humanbehaviourchange.org. 86400 | NS | humanbehaviourchange.org. 86400 | NS Record: ns0.ukfast.net. |
humanbehaviourchange.org. 86400 | TXT | humanbehaviourchange.org. 86400 | TXT Record: v=spf1 a mx -all |
Menu Home The Project About the project Behavioural Science Computer Science Systems Architecture Project Team Grant holders Research team Consultants and Collaborators Latest News Contact Us Advancing and Applying the Science of Behaviour Change through Machine Learning Human Behaviour-Change Project The Human Behaviour-Change Project (HBCP) is creating an online ‘Knowledge System’ that uses Artificial Intelligence, in particular Natural Language Processing and Machine Learning, to extract information from intervention evaluation reports to answer key questions about the evidence. It is a collaboration between behavioural scientists, computer scientists and systems architects. The Knowledge System will continually search publication databases to find behaviour change intervention evaluation reports, extract and synthesise the findings, provide up-to-date answers to questions, and draw inferences about behaviour change. Practitioners, policy makers and researchers will be able to |
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