Dear All: You might find this of interest.
Concept note deadline: 7 April 2020 More info: https://www.events.great.gov.uk/ehome/index.php?eventid=200200559&; The Tech Clusters: Innovation Challenge Fund 2020 will fund innovative research and development projects in Artificial Intelligence / Data Science that propose tech led or tech enabled solutions to social and/or environmental challenges in India. The central aim of the Innovation Challenge Fund is to support the development of the Karnataka Artificial Intelligence / Data Science Tech Cluster by promoting closer scientific collaboration between industry and academia, and by promoting links with international counterparts and centres of excellence, including in the UK. As such, proposals for research and development projects are invited from consortia made up of researchers and industry from India, and international counterparts, including the UK. Projects must be led by an Indian not-for-profit organisation. Projects can either develop original ideas or adapt successful technologies, techniques or processes from other fields. The Challenge Fund is looking for proposals in the following Challenge Areas in India: Healthcare (eg projects addressing infectious diseases, maternal mortality or health data collection Environmental protection (eg projects addressing the detection of pollutant sources)Connectivity (eg first mile/last mile, multi modal hubs, micro mobility/village to village mobility) Water management (eg projects addressing water sourcing and distribution in cities) Energy (eg projects addressing clean energy/renewables and carbon footprint reduction) Future mobility (ie how we move people, goods and services around our towns, cities and countryside. We are looking for technology solutions that increase our ability to achieve these goals, supporting economic growth and doing so in a manner that reduces the detrimental health effects caused by pollution.) Agriculture (especially projects addressing predictive analytics of cultivation patterns) Education (eg virtual learning environments, intelligent tutoring systems) Increasing Access to Information Financial inclusion (eg improving user experience for vulnerable groups) Other ie we will consider proposals which do not fit into the above categories provided the focus is on Artificial Intelligence / Data Science Proposals should focus on at least one Challenge Area, but we recognise that there may be some natural overlap. Separate applications can be made if consortia wish to submit proposals for more than one Challenge Area. If your consortia are working on a project which doesn’t quite fit into one of the above Challenge Areas but still centres around AI and Data Science, please submit a concept note and we will consider it. We will prioritise proposals that can demonstrate the potential to particularly benefit the poorest third of society, women or other marginalised groups in India. We aim to award funding to a diverse range of projects across the Challenge Areas, so we may prioritise proposals addressing certain Challenge Areas depending on the range of proposals we receive. Eligibility Grants will be awarded to a lead organisation which must be an Indian not-for-profit organisation and should have the necessary FCRA clearances. We expect this will be a university or research organisation based in Karnataka. Applicants must demonstrate collaboration with other organisations. Applicants will need to explain how their proposal will facilitate the development of partnerships between researchers, industry (including but not limited to start-ups, scale-ups and small & medium enterprises), and potentially NGOs, policymakers and practitioners in India and counterparts abroad. Consortia must be composed as follows: -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/datameet/CAA33FJc5yd-t6QfATTQG9WDjU1yf5Zt5DqtayHgF-n366r%2BO7w%40mail.gmail.com.
