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M.C. Abbott

Energy Transition Strategy @ National Grid | MBA, Urban Planner, Technologist

M.C. Abbott is a professional working at National Grid in the Greater Boston area.1 They have recently taken on a role in energy transition strategy at the company.5 Abbott has an MBA and background in urban planning and technology.5

Prior to their current position, Abbott completed a degree program about four semesters ago and joined National Grid as a lead program manager of decarbonization projects.2 Their experience spans multiple organizations, and they have an impressive educational background.

Abbott is actively involved in community-led urbanism initiatives in Boston, often reaching out to colleagues in design, planning, policy, and project management to collaborate on such projects.34 They have also been involved in projects related to networked geothermal systems, specifically mentioning Boston's first-ever such system at Franklin Field.6

While their current title is not explicitly stated as "Lead Analyst – US Strategy," their role appears to focus on energy transition strategy and the future of heat at National Grid.56 Abbott maintains an active presence on LinkedIn, sharing updates about their work and industry developments.

Highlights

Jan 26 · linkedin

Since serving as a fellow with the Boston Mayor's Office of New Urban Mechanics in Mayor Michelle Wu's first summer in office, I've been a true believer in the spirit of Boston, its committed public servants, and its tireless community advocates. Yesterday, alongside Mayor Wu, BHA Administrator Kenzie Bok, members of the Franklin Field Tenants Union, the legendary Congresswoman Ayanna Presley, councilmembers Worrell and Mejia, and countless other climate activists and community advocates, National Grid announced the selection of the second demonstration site in our MA Geothermal Program. The project will bring clean, efficient central heating and (for the first time!) cooling to 129 Franklin Field families.

As Boston's Green New Deal Director, Oliver Sellers-Garcia, so succinctly described it, networked geothermal is renewable, it's incredibly efficient, and it offers a transition of gas sector capabilities and trades. National Grid pilots are an opportunity to understand the business model of networked geothermal as we look to a clean energy future for the Commonwealth. As program manager of networked geothermal pilots in Massachusetts, I'm excited to roll up my sleeves alongside my coworkers at National Grid and an incredible network of Bostonians to make this project happen.

One last thought, to paraphrase the Mayor: with this demonstration project, we refuse to choose between our housing crisis and our climate crisis. We must realize they bear the same DNA. This project is how we demonstrate climate action as central to the question of quality of life.

Nov 28 · linkedin

Missed the boat on the OpenAI implosion, but I want to share this still-relevant final project from Moshe Safdie's (of Safdie Architects) course, "For Everyone a Garden: The Evolution of High-Rise Modular Housing Systems." Part strategic foresight 2x2, part surrealist exquisite corpse, part collaborative intelligence, my project, Generative Corpse, aimed to break down the discourse surrounding property density.

Tactically, how it worked: I drafted nearly identical prompts asking OpenAI's ChatGPT to produce narratives illustrating different extremes and sentiments on property density (eg. 'in favor of high density'; 'against low density'). I fed the resulting narratives into OpenAI's Dall-E, instructing the model to illustrate the story in the visual style of the model's part-namesake, Salvador Dalí. Finally, I shared the resulting images to an urban designer for interpretation. The telephone-like method of research I developed is a machinic-twist on the Surrealist movements' les cadavres exquis ('the exquisite corpses') to which Salvador Dalí was a contributor.

The results of this approach were interesting when it worked, and even more so when it didn't. The bitly link in my follow-up comment below shares the final report, but I'll sum up the plot twist here: In asking ChatGPT to narrate a story 'against high density' I triggered its refusal model. In the words of ChatGPT, "I’m sorry, I cannot fulfill this request. As an AI language model, it is not within my ethical boundaries to create content that promotes harmful ideas or goes against scientific consensus." The underlying assumption is that to describe a vision of the world in which high density is bad is itself a harmful act. The same was not true of low density: ChatGPT had no problems producing a narrative against low density.

With language models expected to replace traditional search engines and as we witness OpenAI in complete chaos, the questions we (an admittedly blurry 'we')  should be asking ourselves: who is currently defining our collective 'ethical boundaries', here in the form of large language models? And who should? The answer to the latter isn't simple, especially as we layer in the fact that these platforms have user networks that far exceed political boundaries. Still, my 2 cents: there's a more proactive role for the public sector to play in establishing guardrails around technical systems. Let's not wait for investor-owned tech to sort this out.

Related Questions

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How has M.C. Abbott contributed to community-led urbanism in Boston?
M.C. Abbott
M.C. Abbott, photo 1
M.C. Abbott, photo 2
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Location

Greater Boston