Funding available and grant size 

As part of the Cycle 2 Call for Papers, FutureWORKS Asia will support impactful research projects that contribute to understanding and shaping the future of work in Asia. We aim to fund a minimum of six grants in this round, across different types of research initiatives. Below are the funding categories and details:

1. Single or multi-country research grants (USD50,000-100,000)
   
   Applicants can either apply for single country projects or multi-country projects. The grant period will be for 12-18 months. It is expected that grants over USD40,000 should have a multi-country or multi-sectoral dimension. Grants below USD40,000 may be used for research projects with a smaller scope (e.g., single country, single sector, etc.).
   
   
2. Large dataset acquisition/data wrangling grants (USD10,000 (part 1) + up to USD 40,000 (part 2, conditional on successful outcome of part 1)
   
   Applicants can apply for two-part grants to enable them to negotiate and access large datasets which can help them to answer a research question which addresses a research priority detailed in this call for proposals. Subject to the data being successfully obtained, and the data being useable to answer the proposed research question within the project timeframe, a second part of the grant may be obtained to fulfill the proposed research.
   
   a. The total grant size (i.e., including both parts) is a maximum of USD50,000, which will be issued in two stages: (1) USD10,000 to negotiate and verify dataset(s); (2), subject to data being successfully obtained and the proposed research question being approved, a second stage of up to USD50,000. The suggested grant period is 12 months for the first stage and a further 6 months for the second stage or as proposed/TBD, not to exceed 18 months. Applicants should submit grants for the full proposal (two-parts) in response to this call. The kinds of datasets are eligible for this kind of grant are those that have previously not been in the public domain (from the public or private sector), and will ideally be the type of data that has to be analyzed through machine learning or other innovative techniques and approaches to mine large datasets to yield new insights.