| 1. |
- Belyazid, Salim, et al.
(author)
-
A Sustainability Assessment of the Urban Rehabilitation Project of the Medina of Fez, Morocco
- 2003
-
In: Proceedings of the 21st International Conference of the System Dynamics Society. - 9780967291482
-
Conference paper (peer-reviewed)abstract
- The old city of Fez, Morocco, classified as Heritage of Humankind by the UNESCO, is subject to an integrated rehabilitation plan running over 15 years. The plan aims at restoring and preserving the economy, cultural value, and social heritage of the old city. The study follows a system dynamics approach to describe and analyze the rehabilitation plan in order to identify the strengths and defects of the plan. This study shows that while the plan is giving relatively satisfying results over the short and medium terms, it is unlikely to attain long term sustainability.
|
|
| 2. |
- Czeszumski, Artur, et al.
(author)
-
#EEGManyLabs: Investigating the Replicability of Influential EEG Experiments
- 2024
-
Other publication (other academic/artistic)abstract
- There is growing awareness across the neuroscience community that the replicability of findings on the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardized analysis pipelines. Inspired by efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalography (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound influence on our understanding of human cognition, but there is limited evidence on the replicability of some of the most highly cited discoveries. After a systematic search and selection process, we have identified 27 of the most influential and continually cited studies in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort will be submitted as a Registered Report and peer-reviewed prior to data collection. Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations.
|
|
| 3. |
- Snyder, Joel S., et al.
(author)
-
#EEGManyLabs: Investigating the replicability of influential EEG experiments
- 2021
-
In: Cortex. - : Elsevier. - 1973-8102 .- 0010-9452. ; 144, s. 213-229
-
Journal article (peer-reviewed)abstract
- There is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalog-raphy (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound in-fluence on our understanding of human cognition, but there is limited evidence on the replicability of some of the most highly cited discoveries. After a systematic search and se-lection process, we have identified 27 of the most influential and continually cited studies in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort will be submitted as a Registered Report and peer-reviewed prior to data collection. Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
|
|
