| 1.1Interdisciplinary Thinking |
Bridging scientific knowledge with artistic interpretation |
Collaboration between artists, scientists, and technologists |
Ensures balance of creativity and accuracy |
| 1.2Ecological Awareness |
Framing tools as mediators of ecological relationships |
Critical ecological frameworks (Gabrys 2016; Parikka 2018; Morgan 2020) |
Making invisible processes (air quality, pollinators, e-waste, microplastics) tangible |
| 1.3Participation & Engagement |
Empowering audiences and communities to co-create |
Citizen science platforms (iNaturalist / GBIF) |
Enhances accessibility, agency, and cultural relevance |
| 1.4Ethical Considerations |
Transparency, sustainability, and safeguarding |
Consent forms; GCC sustainability guidelines |
Fosters responsible, inclusive practice |
| 2.1Reviewing Environmental Datasets |
Identifying and contextualising data |
Marine Institute, Met Éireann, EPA Air Quality, iNaturalist, GBIF |
Provides a reliable foundation for sensory translation |
| 2.2Workshopping & Ideating |
Conceptual development and planning |
Artist–scientist workshops, interdisciplinary dialogues |
Fosters innovation, defines sensory approach (sound, smell, touch, taste, vision) |
| 2.3Designing Creative Strategies |
Artistic data translation |
For sonification, olfactory, gustatory, tactile and proprioceptive experiences |
Transforms abstract data into embodied experience |
| 2.4Digital > Material Considerations & Fabrication |
Choice of materials, media and tools/technologies that reflect ideas and ethical stance |
3D printing, Laser cutting & CNC fabrication, Fablabs |
Ensures deep consideration of media and their socio-environmental impact |
| 2.5Ethical & Ecological Frameworks |
Guidelines and sustainability reflection |
GCC resources, sustainable approaches |
Reduces ecological footprint and ensures cultural sensitivity |
| Public Data Repositories |
Sources of pre-existing environmental data for review and inspiration |
Marine Institute, Met Éireann, EPA Air Quality, iNaturalist, GBIF, CPR Database, SFPA |
Provides scientific accuracy and a tangible starting point for sensory translation, grounding artworks in reliable information |
| Citizen Science Data |
Data collected by non-professional scientists; often community-sourced |
Community-specific environmental monitoring projects and local biodiversity surveys |
Fosters community engagement and allows for hyper-localised, relevant environmental narratives |
| Acoustic Sensors |
Microphones designed to capture sound, including underwater (hydrophones) and ultrasonic frequencies |
Hydrophones, Ultrasonic microphones, parabolic microphones |
Captures imperceptible environmental sounds (e.g., marine life, ice melt, natural processes) for sonification and auditory experiences |
| Chemical / Olfactory Sensors |
Devices that detect and quantify specific chemical compounds or general scent profiles in the environment |
Gas chromatographs, Electronic noses, Air quality analysers (PM2.5, VOCs) |
Makes invisible pollutants and subtle ecological smells tangible, enabling powerful olfactory experiences |
| Thermal / Climate Sensors |
Sensors that measure temperature, humidity, and other atmospheric conditions |
Thermocouples, Thermistors, Humidity sensors, Barometers |
Translates changes in climate and atmospheric conditions into tactile (heat/cold) or subtle sensory feedback |
| Bio-Sensors |
Devices that detect biological indicators or activity |
Soil moisture sensors, Photosynthesis sensors, Microplastic detection kits (e.g., FTIR spectroscopy) |
Connects audiences to microscopic ecological processes or hidden environmental contaminants |
| GPS / Location Data Devices |
Devices that record geographical position and movement |
GPS trackers, Mobile phone location data |
Enables site-specific installations and connects environmental data to specific geographical contexts and movements |
| Data Analysis & Visualisation |
Software for statistical analysis, data cleaning, and initial visual representation of datasets |
Python (Pandas, NumPy, Scikit-learn), R, Excel, HTML, CSS, JavaScript |
Essential for understanding raw data, identifying patterns, and preparing data for sensory translation, ensuring scientific rigour |
| Real-time Interaction |
Platforms for building interactive, responsive multimedia installations that integrate live data feeds |
TouchDesigner, Processing, p5.js, OPENRNDR, openFrameworks, Three.js |
Facilitates dynamic and immediate responses to environmental data, creating immersive experiences |
| Audio Production & Sonification |
Software for manipulating and generating sound, crucial for data sonification |
Max/MSP, Ableton Live, SuperCollider, PureData (Pd) |
Transforms abstract numerical data into emotionally resonant and perceptible auditory experiences, enhancing engagement |
| 3D Modelling & Immersive Environments |
Software for creating virtual spaces and interactive simulations for XR experiences |
Blender, ZBrush, Cinema 4D, Unity, Unreal Engine, Fusion 360, FreeCAD |
Creation of virtual objects and environments where multisensory data can be spatially experienced and explored |
| AI / Machine Learning |
Libraries and platforms for developing AI-driven data interpretation and generative art |
TensorFlow, PyTorch, Stable Diffusion, ComfyUI, Hugging Face (for generative visuals/sounds) |
Allows for sophisticated data interpretation, adaptive sensory outputs, and dynamic responses to complex environmental shifts, enhancing relevance and engagement |
| Microcontrollers & SBCs |
Small programmable computers that interface with sensors and control output devices & power |
Arduino, Raspberry Pi, ESP32, Micro:bit, old mobile phones/computers, solar power |
Provides the physical brain for interactive elements, processing localised data and connecting software outputs to physical sensory experiences |
| Visual Displays |
Devices for displaying visual components of the artwork |
Projectors, LED screens, and Interactive screens. LED lights and matrices, optical fibers, OLED displays |
Supports visual representation of data alongside multisensory elements, offering complementary understanding |
| Audio Output Systems |
Equipment for delivering sound experiences |
Multi-channel speaker arrays, Spatial audio systems (Ambisonics) |
Creates immersive and directional soundscapes, allowing audiences to spatially experience ecological data through sound |
| Olfactory Diffusers |
Devices that release controlled scents into an environment |
Digital scent emitters, Vapour diffusion devices, Custom-built scent delivery systems |
Translates invisible environmental data (e.g., pollution, plant health) into immediate, evocative olfactory experiences |
| Haptic Feedback Devices |
Devices that create tactile sensations |
Vibrotactile actuators, Pneumatic feedback systems, Wearable haptic suits (e.g., Teslasuit, vibrotactile gloves) |
Provides direct physical sensations corresponding to environmental data, fostering embodied empathy and understanding of ecological changes (e.g., vibrations for seismic activity, temperature changes) |
| Precision Culinary Equipment |
Tools used to prepare food and beverages based on specific data parameters |
Infusion devices, Fermentation systems, pH meters for taste-based interventions |
Enables the creation of taste-based experiences that allow participants to literally "taste" environmental conditions or changes |
| Sustainability Guidelines |
Best practices for minimising the environmental footprint of artistic production |
Gallery Climate Coalition (GCC) resources, sustainable materials guides |
Encourages artists to critically reflect on the ecological impacts of their tools and processes, fostering responsible practice |
| Interdisciplinary Collaboration |
Partnerships with scientists, engineers, community members, and other artists |
Workshops, joint research projects, and advisory boards |
Ensures scientific rigour, cultural sensitivity, and technological innovation, enriching the accuracy, impact, and ethical considerations of artworks |
| Participant Safeguarding |
Measures to ensure the comfort, safety, and informed consent of participants in multisensory installations |
Clear communication about sensory content, consent forms, careful sensory calibration, and accessibility considerations |
Upholds ethical responsibilities towards the audience, ensuring positive and safe engagement with potentially intense sensory experiences |
| 4.1Data Foundation |
Reviewing datasets |
Environmental repositories, APIs |
Establishes a credible baseline |
| 4.2Ideation & Collaboration |
Interdisciplinary planning |
Workshops, joint projects |
Bridges science and art |
| 4.3Software Application |
Processing and translation |
Data > sensory outputs via digital tools |
Creates interactive and multisensory experiences |
| 4.4Hardware Implementation |
Delivering experiences |
Sensors, microcontrollers, displays |
Connects audiences with tangible outputs |
| 4.5Ethics & Ecology |
Reflective practice |
Sustainability and safeguarding protocols |
Embeds responsibility and trust |