Update README.md

Added source of fundings to the README

Author: fabiocat93

README.md

@@ -10,6 +10,16 @@
 
 Welcome to ```senselab```! This is a Python package for streamlining the processing and analysis of behavioral data, such as voice and speech patterns, with robust and reproducible methodologies.
 
+### Why should I use senselab?
+- **Modular Design**: Easily integrate or use standalone transformations for flexible data manipulation.
+- **Pre-built Pipelines**: Access pre-configured pipelines to reduce setup time and effort.
+- **Reproducibility**: Ensure consistent and verifiable results with fixed seeds and version-controlled steps.
+- **Easy Integration**: Seamlessly fit into existing workflows with minimal configuration.
+- **Extensible**: Modify and contribute custom transformations and pipelines to meet specific research needs.
+- **Comprehensive Documentation**: Detailed guides, examples, and documentation for all features and modules.
+- **Performance Optimized**: Efficiently process large datasets with optimized code and algorithms.
+- **Interactive Examples**: Jupyter notebooks provide practical examples for deriving insights from real-world datasets.
+
 **Caution:**: this package is still under development and may change rapidly over the next few weeks.
 
 ## ⚠️ System Requirements
@@ -67,17 +77,13 @@ print("The resampled audio has a sampling rate of {} Hz.".format(audio1.sampling
 For more detailed information, check out our [**Getting Started Tutorial**](https://github.com/sensein/senselab/blob/main/tutorials/audio/getting_started.ipynb).
 
 
-## Why should I use senselab?
-- **Modular Design**: Easily integrate or use standalone transformations for flexible data manipulation.
-- **Pre-built Pipelines**: Access pre-configured pipelines to reduce setup time and effort.
-- **Reproducibility**: Ensure consistent and verifiable results with fixed seeds and version-controlled steps.
-- **Easy Integration**: Seamlessly fit into existing workflows with minimal configuration.
-- **Extensible**: Modify and contribute custom transformations and pipelines to meet specific research needs.
-- **Comprehensive Documentation**: Detailed guides, examples, and documentation for all features and modules.
-- **Performance Optimized**: Efficiently process large datasets with optimized code and algorithms.
-- **Interactive Examples**: Jupyter notebooks provide practical examples for deriving insights from real-world datasets.
-
 ## Contributing
-Please see [**CONTRIBUTING.md**](https://github.com/sensein/senselab/blob/main/CONTRIBUTING.md) before contributing.
-
-To find out what's currently in progress, please check the [**Project Board**](https://github.com/orgs/sensein/projects/45).
+We welcome contributions from the community! Before getting started, please review our [**CONTRIBUTING.md**](https://github.com/sensein/senselab/blob/main/CONTRIBUTING.md).
+
+## Acknowledgments
+`senselab` is mostly supported by the following organizations and initiatives:
+- McGovern Institute ICON Fellowship
+- NIH Bridge2AI Precision Public Health (OT2OD032720)
+- Child Mind Institute
+- ReadNet Project
+- Chris and Lann Woehrle Psychiatric Fund