The SIG Green webinars are hosted every six months in October/November and March/April between the big conferences. Every webinar runs for one hour and features two presentations, one from a more senior and one from a more junior scholar. We reach out to presenters directly but if you would like to give a presentation, we are also very happy about volunteers! In that case, get in touch with the webinar hosts Xue “Nancy” Ning (ning@uwp.edu) or Philipp Staudt (philipp.staudt@uol.de).
The exact time and date of the webinars are set with the presenters and depend on time zones and availability. They will be announced here roughly three weeks in advance. However, if you want to stay up-to-date, simply register your email address and you will directly receive outlook invites, which also facilitates the time zone management: https://lnkd.in/eSxDZSxW
| Date |
Speaker |
Topic |
|
2024, October 28
2pm EDT
|
Julia Kotlarsky, University of Auckland
Ali Y Shaheen, Dakota State University
|
Digital Sustainability: Julia Kotlarsky is a Professor of Information Systems at the University of Auckland Business School and is conducting research on digital sustainability. Building on her recent work and her engagement with the topic, Professor Kotlarsky will explore the critical role of digital technologies in advancing sustainability objectives across environmental, social, and economic dimensions. She argues that digital sustainability extends beyond the environmental impact of IT systems to include broader economic and social dimensions, emphasizing the role of digital artifacts, data, and AI in driving sustainability outcomes. Her analysis connects the fields of Green IS and Green IT with contemporary digital innovations, illustrating how digital solutions can address global sustainability challenges, from resource optimization to new business models. She will further discuss her current research projects in the field and give important insights on her perspective of the field.
Weed Detection using Lightweight DL models with Transfer Learning & Hyperparameter Optimization: Weeds significantly reduce agricultural yields. Professor Shaheen's study focuses on using artificial intelligence, specifically deep learning, for early-stage weed detection on edge devices, which have limited computational power. it proposes a three-part strategy to address this challenge: employing lightweight architectures (LWA's) to reduce the model size and computational demand; using transfer learning to overcome the limitations of small data sets; and applying Bayesian optimization to fine-tune model parameters. The results show that MobileNetV2 and EfficientNetV2B0 models achieve high accuracy (95.09% and 95.79% respectively) with MobileNetV2 being nearly as accurate but much smaller in size (13.96 MB compared to 23 MB). The lightweight architectures utilized in this study surpassed the previously best-performing state-of the-art ResNet152V2 model. This demonstrates LWA's suitability for computationally constrained edge devices, promoting energy efficient and resource saving methods for weed detection.
|
| 2022, September 8 |
Eva Glanze (University of Hamburg) |
How Small and Medium-Sized Enterprises use Digital Technologies for Sustainable Practicing |
| 2022, September 8 |
Philipp Staudt (Massachusetts Institute of Technology) |
Balancing Allocation Efficiency with Complexity in Electricity Rate Design |
| 2022, March 30 |
Lars Andraschko (University of Augsburg) |
Promoting Sustainable Behavior in the Smart Home |
| 2022, March 30 |
Ehsan Sabaghian (Syracuse University) |
Technology Integration by Electric Utilities; Patterns, Motivation, Challenges, and Success Metrics, Practices and Influence of the Field |
| 2021, October 5 |
Valerie Graf-Drasch (Uni Hohenheim) |
Smart Urban Farming |
|
2021, June 29
|
Jason Dedrick (Syracuse University)
|
Information Technology Investment and Carbon Intensity: A Cross-National Study
|
|
2021, June 29
|
Petruska de Araújo Machado (Federal University of Campina Grande)
|
Green Information Systems Adoption: An Integrative Framework Based on Literature Review Grounded in Design Science and Future Research Directions
|
|
2021, March 29
|
Bo Nørregaard Jørgensen (University of Southern Denmark)
|
Smartgrid Integration of Commercial Greenhouses
|
|
2021, March 29
|
Roman Zeiss (University of Cologne)
|
Circular Coordination: Towards a Sociomaterial Theory on Information Systems for a Circular Economy
|