MountAIn Desk
MAID
Welfare and Sustainability for Hybrid Work in Mountain Communities
WHAT IS MAID?
The project intends to activate in mountain communities a series of “flexplaces”, places of remote work and interaction that are ecologically, socially and environmentally sustainable, through the creation of a digital supply chain involving the entire Alpine Arc territory.
What are the objectives?
Revitalising mountain villages by attracting ‘digital nomads
Providing physical infrastructure and digital systems for remote work and leisure time
Collect, analyse and release environmental, energy and social data on the use of flexplaces
How does it work?
The project offers the inhabitants of Valle d’Aosta a digital system to foster hybrid work in mountain communities, based on principles of sustainability for the network of flexplaces and the well-being of nomad workers. The formula adopted involves all stakeholders – Hosts, Users, Public Administration and neighbourhood businesses – generating virtuous dynamics of land use. A start-up and management kit is made available to hosts and local partners, with a focus on measuring financial, environmental and energy indicators.
The system is designed to be flexible and adaptable, accommodating new modes of access, users and services. Thanks to a meta-design phase, its architecture allows for updates and modifications without impacting the entire system, guaranteeing easy integration with new digital tools and the expansion of functionalities according to market needs and technological evolution.
01. CALCULATE
02. EVALUATE
03. BOOK
04. MONITOR
Project values
In order to determine the quality of the Flexplace, an algorithm was therefore developed to support the Hosts and the Provider in financial evaluations: at the same time, it highlights to the users and the Public Administration the quality and sustainability standards of the services offered in the coworking spaces.
The project analyses the environmental impact of flexplaces by collecting and studying data on the use of coworking spaces and their context. The analysis involves both users and the network of flexplaces and local businesses.
The data collected by the multisensor is analysed by an algorithm on a daily, monthly and yearly basis and compared with quality standards to ensure an optimal working environment.
Kit for starting and managing a Flexplace
The handbook, consisting of two sections, “Brand & Interior guidelines” and “Flexplace management”, takes the host by the hand and accompanies him through all the stages of transforming his flexplace (planning, building renovation, furnishing, technological equipment, signposting, maintenance, purchase of cleaning and personal hygiene products, accessories, service delivery methods, etc.).
Space quality indicators
The project assesses the quality of Flexplaces through 100 indicators, divided into 5 main categories:
01. CHARACTERISTICS OF THE AREA
66 INDICATORS
02. ACCESS PROTOCOL
7 INDICATORS
03. CERTIFICATIONS
7 INDICATORS
04. EQUIPMENT
12 INDICATORS
05. ATMOSPHERE
8 INDICATORS
Environmental impact monitoring
Environmental impact is measured through:
- Drinking water consumptio
- Production of office waste
- User mobilit
- Consumption of food and materials
- Technology equipment and maintenance
Data are collected in three ways:
- Direct – via sensors installed in flexplaces
- Indirect – through research and existing literature
- Voluntary – with questionnaires filled in by Hosts, Neighbourhood Partners and Users, incentivised through reward systems (socnts, scores etc.)
The MAID system guarantees data protection, eliminating any reference to the people involved. Furthermore, the project integrates Artificial Intelligence to offer:
- Accuracy and reliability in collected data
- Adaptability to local context
- Efficiency in environmental management and monitoring
- Transparency in results and analysis processes
Environmental categories and indicators
For the monitoring of the working environment, categories and related environmental indicators were used for the following cases:
- Area Urbana
- Coworking space
- Utente
For coworking spaces, the infographic of environmental indicators and the table indicating the types of data (direct, indirect, voluntary) are given as examples. Similar tables were compiled for the Urban Area and the User. A calculation algorithm based on scientific literature or direct measurement sensors was identified for each environmental indicator.
ILLUMINATION
MINIMUM LUX FOR DIFFERENT AREAS
TEMPERATURE
COMPLIANCE WITH WINTER AND SUMMER OPTIMAL RANGES
RELATIVE HUMIDITY
ACCEPTABLE RANGE BETWEEN 30%-60%
VENTILATION
CO2 LEVELS ppm
AIR QUALITY
VOLATILE ORGANIC COMPOUNDS TVOC
NOISE
ACCEPTABLE DECIBELS FOR INDIVIDUAL AND COLLECTIVE SPACES
DATA MONITORING AND ANALYSIS
The data collected by the multisensor are analysed by an algorithm on a daily, monthly and annual basis, comparing them with
quality standards to ensure an optimal working environment.
