Current Research
Reclaiming Akwesasne’s Pollution Data
- Cultivating interventions that engage in an ontological and dogmatic shift of power dynamics embedded in environmental and pollution information and data relations in Akwesasne
- Developing a comprehensive information repository that stories our community’s environmental data history
- Engaging in anti-colonial methodologies for information acquisition, translation and dissemination
- Developing technologies for industrial counter-surveillance and accountability
- Currently not grant-supported
Repertoires of Contention for Community Resistance to Bitcoin Mining in New York
- Applying a diverse set of computational techniques to engage with and address community concerns surrounding externalized impacts of the Greenidge Bitcoin Mining power plant on Seneca Lake in New York state
- Mapping community sentiment to permit renewal (DEC_Counts)
- Community science techniques to map thermal water plumes (GANDER, SatHelper)
- Power mapping corporate and government stakeholders surrounding a bitcoin mining controversy
- Supported Repair & Redress funded by Innovation for Impact Fund, Cornell Atkinson Center for Sustainability
Cornell University Indigenous Dispossession Project: Archiving the Land Grab
- Expose the depth and significance of Cornell’s profit-taking from the proceeds of Indigenous dispossession undertaken by the federal government (Morrill Act of 1862)
- Data visualization techniques to present the history of Cornell University’s relationship and raise metrics for contemporary redress
- Supported by American Indian & Indigenous Studies Program
Past Research
Data Driven Building Energy Management (Jan 2021 – Apr 2021)
- Building energy data acquisition systems
- Running simulations to model building energy consumption patterns
- Supported by Lawrence Berkeley National Lab
Semantic Segmentation of Satellite Images: Analyzing Fire Scars in the Western Australian Desert (May 2020 – Dec 2020)
- Streamline and automate fire scar identification using computer vision techniques on Landsat8 satellite imagery
- Supported by Santa Fe Institute
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