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Team Name:

Team DataNest


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Evidence of Work

DataNest – Mapping Tomorrow's Data Homes

Project Info

Team DataNest thumbnail

Team Name


Team DataNest


Team Members


Dominic Scocchera and 2 other members with unpublished profiles.

Project Description


Imagine a world where every data centre springs to life in the perfect spot—where energy flows efficiently, cooling is seamless, latency is nearly zero, and operations hum in harmony with the environment. DataNest turns that vision into reality. It’s a dynamic system that transforms the entire globe into a living landscape of opportunity: each point on the map is scored by a bespoke cost function, revealing in a single glance where your next data centre should land. By blending real-world data—power grids, cooling resources, human density, network hubs—into a master equation, DataNest finds the sweet spot where performance, sustainability, and cost align. High scores flag poor choices; low scores light the path to the ideal locations!


Data Story


The journey begins with raw, tangible layers of our world—vast networks of electricity infrastructure, the flow of rivers and water bodies, clusters of population, and the invisible threads of network connectivity. Individually, each dataset whispers hints: electricity cost, cooling potential, service coverage, and latency hotspots. But when woven together, they tell a bold story.

Picture scientists and engineers collecting these layers, processing them as geospatial grids—every grid cell carrying a piece of the puzzle: kilowatt-hour rates, proximity to water sources, population density, and telecom footprint. The cost function ingests these values, weighing each factor against the others—balancing power costs against cooling needs, network access against population-centric latency, all mapped across latitudes and longitudes. What emerges is a heatmap of possibilities, a terrain of decision. In the hands of planners and stakeholders, this unified dataset guides strategic placement—ensuring that every data centre is not just built, but thoughtfully planted, optimised, and future-ready.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

ACORN

Description of Use Used in the evaluation of the temperature part of the cost function

Data Set

Australian Hydrological Geospatial Fabric - Water Bodies

Description of Use Water source size and location in cost function.

Data Set

ABS Australian population grid 2024

Description of Use Used population in the cost function

Data Set

Major Power Stations

Description of Use Used the location and other data in the cost function (e.g. is the power source green or not)

Data Set

Transmission Substations

Description of Use Used the location in our cost function

Data Set

Challenge Entries

Data Centres: A Cornerstone of Australia's AI Future

How can we analyse Australia's infrastructure, energy, and geographic data to select locations and operational strategies that will position Australia as the Asia-Pacific's leading AI and cloud computing hub?

#Data-centres-for-2050

Eligibility: Open to all. Teams should use at least one government dataset in their solution, with preference for creative combinations across different data types (infrastructure, energy, telecommunications, geographic, climate, economic, or planning data). Proposals should include clear methodologies for data integration, analysis algorithms, and implementation planning with consideration of real-world deployment challenges

Go to Challenge | 14 teams have entered this challenge.