Abstract
Environmental uncertainty and hyperconnectivity force techno-socio-economic systems to introspect and adapt to succeed and survive. The current practice is primarily intuition-driven, which is inconsistent with the need for precision and rigor. The concept of digital twins is rapidly emerging as an experimentation aid to help: (i) understand why a system is the way it is, (ii) prepare for possible outlier conditions; and (iii) identify plausible solutions for mitigating the outlier conditions in an evidence-backed manner. However, its effective use is limited to physical and cyber-physical systems that are governed by well-established laws and operate in environments that are relatively static or that evolve slowly. This workshop brings together leading researchers and practitioners from various fields and from different parts of the world to explore the challenges involved in effectively using digital twin technologies for techno-socio-economic systems, and to exchange ideas, concepts, approaches that aim to address those challenges.
| Original language | English |
|---|---|
| Title of host publication | iSOFT ISEC 2023 - Proceedings of the 16th Innovations in Software Engineering Conference (Formerly known as India Software Engineering Conference) |
| Editors | Sonali Agarwal, Abhik Roychoudhury, Rahul Purandare |
| Publisher | Association for Computing Machinery (ACM) |
| ISBN (Electronic) | 9798400700644 |
| DOIs | |
| Publication status | Published - Feb 2023 |
| Externally published | Yes |
| Event | Innovations in Software Engineering Conference 2023 - Allahabad, India Duration: 23 Feb 2023 → 25 Feb 2023 Conference number: 16th https://dl.acm.org/doi/proceedings/10.1145/3578527 (Proceedings) https://isec23.iiita.ac.in/ (Website) |
Conference
| Conference | Innovations in Software Engineering Conference 2023 |
|---|---|
| Abbreviated title | ISEC 2023 |
| Country/Territory | India |
| City | Allahabad |
| Period | 23/02/23 → 25/02/23 |
| Internet address |
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Keywords
- Decision Making
- Digital Twin
- Modelling and Simulation
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