Let's communicate with our environment
understand what it has to tell us
and make things better!
measure
PROTOTYPING
INSTRUMENTS
MACHINE DATA
analyze
DATA COLLECTION
DATA MINING
DATA VISUALIZATION
optimize
EFFICIENCY
PREDICTION
SUSTAINABILITY
live data
context data
press review
Abstract: The Women Saving America’s Climate Data
A predominantly women-led network of groups has been rescuing, archiving, and restoring U.S. federal climate and environmental data since the 2024 election after many government sites and datasets were removed or restricted.
These organizations—including coalitions like the Public Environmental Data Partners, EDGI, the Data Rescue Project, and Harvard’s Library Innovation Lab—copied tens of thousands of datasets, preserved hundreds of terabytes of Smithsonian records, and recreated tools such as the Climate and Economic Justice Screening Tool.
The article notes the second Trump administration made far more changes to environmental websites in a short period than the first, with many actions reducing public access.
Layoffs at climate.gov and other agencies removed institutional knowledge and led former staff to build nonprofit successors like climate.us to keep information available.
The work is technically demanding, costly, reliant on volunteers and limited funding, and driven by a sense of duty because losing public data would harm research, legal efforts, and community protection.
Source: TIME Februrary 9, 2026 Author: Kyla Mandel
about me
As pIant mechanic and engineer I am passionate about Physical Computing, Data Analysis, and Technical Optimization.
Under the motto “Measure – Analyze – Optimize”, I develop systems that capture, evaluate, and intelligently process physical quantities – from sensor data and control systems to efficient, data-driven solutions.
I combine engineering thinking with modern electronics and data-based analysis.
My goal: to make processes measurable, understand their interrelations, and achieve sustainable technical improvements.
What I do:
I work on projects in the following areas:
Sensor Technology and Data Acquisition
Development of measurement systems using microcontrollers and computers.
Data Analysis and Visualization
Processing and evaluating measurement data, e.g. via ThingSpeak, Python, or cloud APIs.
Optimization of Technical Processes
Using intelligent control systems to increase efficiency and reduce errors.
Why Measure, Analyze, Optimize?
I firmly believe: Only what can be measured can be improved.
Whether in energy efficiency, automation, or data processing – precise measurement is the first step toward informed decisions.
Analyzing data reveals patterns and potential, and through targeted optimization, ideas turn into tangible improvements.
This philosophy shapes my work – structured, data-driven, and driven by technical curiosity.
APPLIED KNOWLEDGE:
Microcontroller:
- Arduino, C++
- ESP32, C++, micropython
- ARM Cortex-M, C++, micropython
Programmable Logic Controller (PLC):
- Controllino, C++
Internet of Things (IoT):
- Node-Red
- ThingSpeak
Single-Board Computer (SBC):
- Raspberry Pi, Linux
Databases:
- InfluxDB
- MySQL
Data analysis:
- Python, SciPy, TensorFlow, Keras, Scikit-learn
Measurements and operational optimization of a solar domestic hot water system in a multi-family residential building.
Energy analyses based on measurement data in the industrial and service sectors.
Energy data analysis and creation of energy flow diagrams in the district heating sector.
Exhaust gas monitoring of a 3 MW combined heat and power (CHP) plant unit to demonstrate compliance with legal emission limits.
Long-term wind measurements in an alpine region (2550 m ASL), including data evaluation as a basis for a planned wind farm.
Numerous data analyses from SCADA systems.
Metrological verification of CO2 reductions achieved by several district heating plants for inclusion in the sustainability report.
Measurement-based verification of nitrogen oxide (NOₓ) reduction through hydrogen admixture in a 3.2 MW natural gas combined heat and power (CHP) plant as part of a European research project.
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