Building Expertise in Computational Methods for Social Inquiry
Singapore’s higher education landscape continues to strengthen its position as a regional leader in interdisciplinary research training. The SICSS-Singapore 2026 program exemplifies this commitment by convening emerging scholars for intensive work in computational social science at the National University of Singapore.
Program Structure and Daily Focus Areas
The institute runs from July 13 to July 20, 2026, at the Innovation 4.0 Conference Room on the NUS campus. Participants engage in lectures, collaborative problem sets, and self-directed research projects. Core topics include text analysis, web data collection, digital experiments, machine learning applications, and research ethics. All instructional materials are released openly to support reproducible scholarship.
Host Institutions and Strategic Alignment
The Centre for Trusted Internet and Community together with the Faculty of Arts and Social Sciences at NUS provide the academic home. These units bring together expertise in digital governance, communication studies, and data-driven social research, creating a natural environment for the institute’s goals.
Participant Profile and Selection
Approximately twenty graduate students, postdoctoral researchers, and early-career faculty are selected. The program welcomes applicants from social science and data science backgrounds, with particular encouragement for scholars from underrepresented groups. Full attendance throughout the week is required.
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Featured Speakers and Expert Input
Distinguished lecturers include Dr. D. Sunshine Hillygus, Dr. Elisa Baek, Dr. Hai Liang, Dr. Prasanta Bhattacharya, Dr. Kiran Garimella, Dr. Dilrukshi Gamage, Dr. Swapnil Mishra, and Dr. Emilio Ferrara. These sessions expose participants to cutting-edge work across academia, industry, and policy contexts.
Research Projects and Collaborative Output
Each cohort forms small groups to design and execute original projects. Past editions have produced work that later appears in peer-reviewed outlets or informs policy discussions. The 2026 cohort continues this tradition of hands-on, publishable research.
Contribution to Singapore’s Research Ecosystem
By hosting the institute, NUS and its partners expand access to advanced methodological training within the city-state. The emphasis on open science and ethical data practices aligns with national priorities around trustworthy AI and digital society research.
Broader Impact on Academic Careers
Participants gain technical skills, professional networks, and exposure to interdisciplinary collaboration. Many alumni report accelerated progress on dissertations, grant applications, and faculty job searches after attending similar programs.
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Looking Ahead: Sustaining Momentum
With applications for future iterations already generating interest, the Singapore edition is poised to become a recurring fixture. Continued support from university leadership will help embed computational social science more deeply across humanities and social science departments.
Opportunities for Engagement
Faculty and researchers interested in hosting partner locations or contributing as speakers can explore the global SICSS network. Singapore’s strategic location and strong institutional infrastructure make it an attractive hub for such initiatives.