July 18 to July 30, 2022 | National Chengchi University
SICSS Taiwan aims to create an exchange platform for data science and social science. Its aim is to develop talent through hands-on, interdisciplinary projects. Researchers and practitioners from various fields in social science and data science will collaborate on data-driven projects with positive social impact and for public good.
Our target audience is data scientists and social scientists who are in academia or industry in Taiwan. We welcome applicants from all backgrounds and fields of study, especially applicants new to computational social science.
1) Academia: master students, PhD students, post-docs, faculty and researchers 2) Industry: applied social scientists and data scientists with at least one year of working experience
We have 3 days of in-person component. While there are no restrictions based on citizenship, country of study, or country of employment in our application selection process, there may be travel restriction and quarantine requirements due to COVID-19. About 24 participants will be invited.
The Summer Institute aims to bring together computational social scientists across all levels of technical experience. Participants with less experience with social science research will be expected to complete additional readings in advance of the Institute, and participants with less experience coding will be expected to complete additional training in R. Learners doing this preparatory work will be supported by organizing team and teaching assistants one month prior to the program
We welcome applicants from all backgrounds and fields of study, especially applicants new to computational social science. We evaluate applicants along a number of dimensions: 1) research and teaching in the area of computational social science 2) contributions to public goods, such as creating open source software, curating public datasets, and creating educational opportunities for others 3) likelihood to benefit from participation 4) likelihood to contribute to the educational experience of other participants 5) potential to spread computational social science to new intellectual communities and areas of research. Further, when making our evaluations, we attempt to account for an applicant’s career stage and previous educational opportunities.
1） SICSS Taiwan 希望創造一個資料科學及社會科學得以交流合作的平台，培訓優秀的研究者，並且進行跨領域實作。 2） 多元背景的社會科學與資料科學的研究者與實作者，共同合力針對有公共性的資料進行跨領域合作，完成一份專案。
1） 學界：台灣大專院校碩士以上學生、博士、博後、講師、教授與學術研究者 (將全額補助) 2） 業界：台灣應用社會科學家與資料科學家一年以上 (將全額補助)
Application process will be announced at the end of January.
Inquiries can be sent to email@example.com
Yes, but not at the same time. For example, you can apply to SICSS-Taiwan, and then if you are not accepted you can apply to one of the other locations if it has a later deadline. However, you cannot have an applications under review at two locations simultaneously.
No. Every year we have more applicants than we can accept, and we would like everyone to have a chance to participate in SICSS once before we allow folks to participate twice.