A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0

Research Methods
This program is tentative and subject to change.
The convergence of technology and human creativity in Society 5.0 demands innovative approaches to address complex scientific challenges across diverse domains, making cohesive experiments essential. The increasing complexity, diversity, and scale of data, along with the need for interdisciplinary exploration and knowledge discovery, present significant challenges. Computational scientific experiments leverage methods such as data acquisition, preprocessing, analysis, and visualization to simulate and understand intricate phenomena. However, existing interactive environments (e.g., Jupyter Notebook, Google Colab), collaborative groupware systems (e.g., Co-Taverna, iPlant Collaborative), and scientific workflow management systems (e.g., Galaxy, Kepler) often fall short in providing the automation, scalability, and reproducibility required for scientific experimentation. Additionally, they lack the usability and flexibility necessary for accommodating varying skill levels among researchers and supporting effective collaboration across domains. This paper introduces a collaborative framework designed to support cross-domain computational scientific experiments, fostering automation of complex operations, intuitive workflow composition, easy collaboration among researchers, comprehensive data and process lineage management, and seamless integration of data, tools, and experiments, allowing domain experts to focus on scientific discovery rather than the technical complexities involved. This study outlines the architecture and key features of the framework and discusses the challenges it addresses for Society 5.0. As a proof of concept, we developed prototype workflow management systems for code clone analysis, bioinformatics, image processing, and machine learning by integrating tools and services from the respective domains. We conducted case studies illustrating the creation of numerous cross-domain workflows and evaluated the framework’s flexibility through tool integration via a user study. The results demonstrate its effectiveness in facilitating cross-domain scientific experimentation, aligning with the principles of Society 5.0, and fostering innovation and knowledge discovery across diverse scientific domains. Two anonymous virtual machines of the prototype are hosted at http://143.110.214.145 and http://165.22.229.234 for experimentation.
This program is tentative and subject to change.
Wed 30 AprDisplayed time zone: Eastern Time (US & Canada) change
16:00 - 17:45 | Human and Social 1SE in Society (SEIS) / SE In Practice (SEIP) at 206 plus 208 Chair(s): Yvonne Dittrich IT University of Copenhagen, Denmark | ||
16:00 15mTalk | Systematizing Inclusive Design in MOSIP: An Experience Report SE In Practice (SEIP) Soumiki Chattopadhyay Oregon State University, Amreeta Chatterjee Oregon State University, Puja Agarwal Oregon State University, Bianca Trinkenreich Colorado State University, Swarathmika Kumar MOSIP-IIIT Bangalore, Rohit Ranjan Rai MOSIP-IIIT Bangalore, Resham Chugani MOSIP-IIIT Bangalore, Pragya Kumari MOSIP-IIIT Bangalore, Margaret Burnett Oregon State University, Anita Sarma Oregon State University | ||
16:15 15mTalk | A Bot-based Approach to Manage Codes of Conduct in Open-Source Projects SE in Society (SEIS) Pre-print | ||
16:30 15mTalk | A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0 SE in Society (SEIS) Muhammad Mainul Hossain University of Saskatchewan, Banani Roy University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Canada, Kevin Schneider University of Saskatchewan | ||
16:45 15mTalk | A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights SE in Society (SEIS) Ahmad Azarnik Universiti Teknologi Malaysia, Davoud Mougouei , Mahdi Fahmideh University of Southern Queensland, Elahe Mougouei Islamic Azad University Najafabad, Hoa Khanh Dam University of Wollongong, Arif Ali Khan University of Oulu, Saima Rafi Edinburgh Napier University, Javed Ali Khan University of Hertforshire Hertfordshire, UK, Aakash Ahmad School of Computing and Communications, Lancaster University Leipzig, Leipzig, Germany | ||
17:00 15mTalk | From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? SE in Society (SEIS) Gianmario Voria University of Salerno, Stefano Lambiase University of Salerno, Maria Concetta Schiavone University of Salerno, Gemma Catolino University of Salerno, Fabio Palomba University of Salerno | ||
17:15 15mTalk | Not real or too soft? On the challenges of publishing interdisciplinary software engineering research SE in Society (SEIS) Sonja Hyrynsalmi LUT University, Grischa Liebel Reykjavik University, Ronnie de Souza Santos University of Calgary, Sebastian Baltes University of Bayreuth Pre-print | ||
17:30 15mTalk | What is unethical about software? User perceptions in the Netherlands SE in Society (SEIS) Yagil Elias Vrije Universiteit Amsterdam, Tom P Humbert Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam |