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Copy file name to clipboardExpand all lines: content/activities/schools.md
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SIGSOFT provides financial support to summer or winter schools focused on all aspects of software engineering across the world. Our goal is to promote education, foster academic growth, and improve access to quality learning experiences.
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## Current Call for Proposal (2026-2027)
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Please refer to [here](https://sigsoft.medium.com/sigsoft-call-for-summer-winter-school-proposals-2026-2027-aa00b4367ff9)
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### Support Details
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-**Funding**: Selected proposals will receive financial support of up to USD $10,000 per school program, depending on the scope and scale of the project. Not all schools are expected to receive the full amount of funding they request.
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-**Duration**: The grant covers summer/winter school programs taking place between August 1, 2026, and August 31, 2027.
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-**Eligibility**: Anyone is eligible to apply. Priority will be given to applicants/organizers who are SIGSOFT members.
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### Program Chairs
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- Christoph Treude, ctreude@smu.edu.sg, Singapore Management University, Singapore
| OzSE 2027: Preparing the Next Generation of Software Engineers in the Age of AI | Neelofar Neelofar, Craig Anslow, Mojtaba Shahin, Kla Tantithamthavorn, Chetan Arora |
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| 5th RiSE Summer School (RiSS) on Quantum Software Engineering (QSE) | Eduardo Almeida |
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| Second African Digital Humanism Summer School 2026 | Hans Akkermans, Jeffrey Kramer |
| International Summer School on AI Engineering (AIEng 2027) | Paulo Henrique Maia, Andrea Zisman, Amel Bennaceur, Leonardo Sousa, Filipe Roseiro Cogo |
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| SIGSOFT Vietnam Winter Workshop on Artificial Intelligence for Software Engineering | Tien N. Nguyen, Vu Nguyen |
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| 6th LATAM School - The Latin American School in Software Engineering Research | Fernanda Madeiral, Lincoln Rocha, Paulo Meirelles |
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| African Winter School on Software Engineering and Artificial Intelligence (ASEAI 2026) | Ali Ouni, Mohammed Sayagh, Noureddine Kerzazi, Mohamed Wiem Mkaouer |
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| Beyond Prompt and Harness Engineering: Software Engineering Foundations for Trustworthy AI Systems | Xi Zheng, Hoa Khanh Dam, Thong (James) Hoang, Hong Jin Kang, Guoxin Su, Xiao Cheng, Yongqiang Tian |
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| Spring School on Software Engineering: From Architecture to AI | Supun Wijayakoon, Michel Chaudron, Jayani Samaraweera |
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| Fourth Summer School on Distributed and Replicated Environments | Alessandro Margara, Elisa Gonzalez Boix, Carlos Baquero, Ragnar Mogk, Annette Bieniusa |
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| Postgraduate School on Formal Methods for Mission-Critical Software | Pablo Castro, Carlos Lopez Pombo |
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| AI-Infused Software Engineering (AISE) - Research and Practice | Meenakshi D'Souza, Santosh Singh Rathore, Saurabh Tiwari, Chetan Arora, Alpana Dubey, Sridhar Chimalakonda |
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| BRIDGES Summer School in The South Pacific: Building a Digital Apps Ecosystem through AI Agentic Technologies | Raula Gaikovina Kula, Youmei Fan, Benson Mirou |
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| Human-AI Collaboration in Software Engineering | April Wang, Thomas Zimmermann, Thomas Fritz |
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| 3rd School of Empirical Studies in Software Engineering | Lilian Passos Scatalon, Maria Lydia Fioravanti, Pedro Henrique Dias Valle, Leo Natan Paschoal |
Copy file name to clipboardExpand all lines: content/activities/webinarsmain.md
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Playlist of previous webinars is available on [YouTube](https://www.youtube.com/playlist?list=PLn0nrSd4xjjYKKxOfmSKFiAzp6ApBHN7e).
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### AI Won’t Fix Software Engineering—People Will: Designing Collective Intelligence
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#### Abstract:
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Collaboration in software engineering is often treated as a soft skill. Yet, despite decades of socio-technical research, our tools still optimize for artifacts—code, commits, and models—while the real work unfolds in how people search, coordinate, and make decisions together. In modern, distributed, and AI-augmented environments, collaboration is not peripheral; it is a core technical capability.
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In this talk, I introduce a behavior-aware perspective on software engineering that focuses on how teams actually work. Drawing on my research, I show how developers engage in foraging behaviors—searching, navigating, and interpreting information across tools and contexts—and how these patterns shape collaboration outcomes. I then argue that many breakdowns in teamwork are not technical bugs but inclusivity bugs: subtle mismatches in tools and workflows that systematically limit participation and visibility for parts of the team.
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Finally, I present directions for designing AI-augmented collaboration systems that move beyond code generation to support the social fabric of engineering work—offering teams real-time feedback, structured reflection, and coordination scaffolding grounded in actual behavioral patterns. Together, these ideas point toward a fundamental shift: from building better code-centric tools to designing systems that understand and support human behavior in software teams. Rethinking software engineering as a socio-technical system opens a path toward more effective, inclusive, and scalable forms of collective intelligence.
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#### Speaker bio:
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Sandeep Kaur Kuttal is an Associate Professor at North Carolina State University, where she directs the Human Factors + Experience Engineering Lab (Discovering and Inventing for Human-Centered Software Engineering and AI). Her research lies at the intersection of Human-Computer Interaction, Software Engineering, and Artificial Intelligence. She focuses on the human aspects of software engineering by studying and modeling programmer behavior and designing mixed-initiative systems that support human-computer collaboration. Dr. Kuttal is a recipient of the prestigious NSF CAREER Award and the AFOSR Young Investigator Program (YIP) Award. Her work has earned several accolades, including a Best Paper Award at ACM CHI, a Best Paper Award at ACM/IEEE ICGSE, two Honorable Mentions at ACM CHI, and an Honorable Mention at ACM DIS. She serves on the editorial board of the Journal of Computer Languages and is a Vice Chair and Steering Committee Member for the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). She has served as a chair or program committee member for leading conferences including CHI, VL/HCC, HCII, ICSE, FSE, ASE, ICST, ICSME, CHASE, ICPC, and IUI. She was General Chair for VL/HCC in 2025 and serves on the Distinguished Review Boards of ACM TOSEM and ACM TOCHI. She is also a member of the College of Engineering AI Advisory Team. Dr. Kuttal is deeply committed to advancing diversity and inclusion in computing.
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#### Date and Time:
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June 19, 2026, 10am-11am ET
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### What do professional software developers need to know to succeed in an age of Artificial Intelligence?
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