The Faculty of Social and Behavioural Sciences has awarded an RPA budget to the Social and Behavioural Data Science Centre in order to develop methodological, statistical, and applied research in data science. The RPA aims to make funding opportunities available to all researchers who are working in the field of data science or who want to develop research lines in that direction. The below funding opportunities have been developed in consultation with RPA members, commencing in 2023. These opportunities will run for a period of four years.
The SoBe DSC is dedicated to advancing the principles of open science. Consequently, we strongly encourage all grant applicants to align with established standards in open science. Specifically, and within the bounds of privacy and copyright considerations, we encourage the sharing of data, code, and research materials. We also encourage potential publications resulting from SoBe DSC’s financial support to be published openly accessible. In your application, please reflect on how you will incorporate these principles.
We specifically welcome contributions that will benefit the broader data science research community, such as creating tools or generating data that other researchers can benefit from.
Funding is not intended for covering staff members' hours (e.g., compensating for teaching hours). If we invite you to share insights about your research, we would greatly appreciate your willingness to do so.
This funding opportunity is aimed at promoting cross-domain collaborations between researchers with an interest in data science. Consequently, the program facilitates the establishment and strengthening of collaborations not only across domains (AISSR, ASCoR, PsyRes, RICDE), but also across departments involved in the RPA. Examples of projects that may be sponsored include a) supporting a programmer to implement R-packages in JASP, b) hiring a research assistant to connect data sources typically gathered in one department (e.g., social network data scraping at CW) to analytic techniques developed at another (e.g., network analysis at PSY), c) developing Shiny apps to disseminate techniques across our departments, d) developing data acquisition-to-analysis pipelines.
This funding opportunity supports the travel and accommodation costs for a visiting fellow in the area of social and behavioural data science broadly defined, ideally researchers who do work that is relevant to multiple groups. The Visiting Fellow delivers a SoBe DSC lecture for the faculty. Each department can invite one visiting fellow, rotating over the four years the program runs. Organization of the visit is the responsibility of the inviting department. Psychology will organise the first of these fellowships (in 2023-2024).
This funding opportunity supports travel to organize data-science related lab visits. Support for participation in workshops and conferences is possible if no other funding is available, but it is important to note that the primary objective of the travel grant is to allow people to set up collaborations with researchers. Travel grants are aimed at Master students, Ph.D. students and Postdocs.
This funding opportunity supports the organisation of a workshop, e.g. about methods that were developed at the UvA, to set up a new research line, or to brainstorm data science approaches relevant to the social and behavioural sciences. Funds can support travel of participants, accommodation, and social events. Organization of the visit is the responsibility of the applicants.
This funding possibility supports the investigation of new valorization and research possibilities. For example, this funding can be used by a postdoc to spend a period of time working with NGO’s, government agencies, methodological organisations (e.g., Center for Open Science), and other faculties (e.g., medicine, law) to investigate possible new collaborative research projects. The intention of this funding program is to operate as a seed funding possibility, for instance to support writing grant proposals or investigating the possibility for an external party to participate in a SoBe DSC research lab by funding new Ph.D. or postdoc projects.
The next round of assessment will be conducted on March 1st 2024
This funding opportunity supports short courses and workshops designed to educate each other and to disseminate techniques across the faculty.
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