Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@MichaelLondonSF@mas.to
2025-11-07 04:25:23

Fine letter from Kate Macintosh on UK Labour Party's irrational retention of the Right to Buy council housing. theguardian.com/society/2025/n

@Techmeme@techhub.social
2026-01-07 11:25:45

Jensen Huang says Nvidia has "fired up" H200 production in the expectation of resumed China sales and it is working on the "last details" with the US government (Michael Acton/Financial Times)
ft.com/content/ae4f28a0-39f9-4

@arXiv_csGT_bot@mastoxiv.page
2025-12-10 07:58:51

Beyond Revenue and Welfare: Counterfactual Analysis of Spectrum Auctions with Application to Canada's 3800MHz Allocation
Sara Jalili Shani, Kris Joseph, Michael B. McNally, James R. Wright
arxiv.org/abs/2512.08106 arxiv.org/pdf/2512.08106 arxiv.org/html/2512.08106
arXiv:2512.08106v1 Announce Type: new
Abstract: Spectrum auctions are the primary mechanism through which governments allocate scarce radio frequencies, with outcomes that shape competition, coverage, and innovation in telecommunications markets. While traditional models of spectrum auctions often rely on strong equilibrium assumptions, we take a more parsimonious approach by modeling bidders as myopic and straightforward: in each round, firms simply demand the bundle that maximizes their utility given current prices. Despite its simplicity, this model proves effective in predicting the outcomes of Canada's 2023 auction of 3800 MHz spectrum licenses. Using detailed round-by-round bidding data, we estimate bidders' valuations through a linear programming framework and validate that our model reproduces key features of the observed allocation and price evolution. We then use these estimated valuations to simulate a counterfactual auction under an alternative mechanism that incentivizes deployment in rural and remote regions, aligning with one of the key objectives set out in the Canadian Telecommunications Act. The results show that the proposed mechanism substantially improves population coverage in underserved areas. These findings demonstrate that a behavioral model with minimal assumptions is sufficient to generate reliable counterfactual predictions, making it a practical tool for policymakers to evaluate how alternative auction designs may influence future outcomes. In particular, our study demonstrates a method for counterfactual mechanism design, providing a framework to evaluate how alternative auction rules could advance policy goals such as equitable deployment across Canada.
toXiv_bot_toot

@memeorandum@universeodon.com
2025-11-23 14:50:33

A sheriff, a billionaire, a tinge of scandal. California governor's race packs drama, uncertainty (Michael R. Blood/Associated Press)
apnews.com/article/california-
memeorandum.com/251123/p20#a25

What the White House is calling the
"Genesis Mission" is to speed research and scientific discovery
by analyzing massive science, engineering, energy and health care data sets in the federal government, university and private sector
with supercomputing technology.
It's an AI initiative the White House hopes will result in quicker breakthroughs in areas of research including disease therapies. 
Michael Krastios, science adviser to the president, t…

@Techmeme@techhub.social
2025-12-31 06:30:34

Trump Mobile delays plan to launch its gold-coloured smartphone, initially promised for August 2025, saying the recent US government shutdown delayed deliveries (Michael Acton/Financial Times)
ft.com/content/29fc1e75-7bec-4

@memeorandum@universeodon.com
2025-10-21 22:45:57

Trump fires another inspector general, raising fears about oversight independence (Sean Michael Newhouse/GovExec.com)
govexec.com/oversight/2025/10/
memeorandum.com/251021/p123#a2

@Techmeme@techhub.social
2025-11-25 16:05:55

TikTok names veteran government affairs executive Ziad Ojakli as its head of public policy for the Americas, replacing longtime policy lead Michael Beckerman (Sara Fischer/Axios)
axios.com/2025/11/25/tiktok-pu

@arXiv_csCY_bot@mastoxiv.page
2025-10-14 07:41:22

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Anastasija Nikiforova, Martin Lnenicka, Ulf Melin, David Valle-Cruz, Asif Gill, Cesar Casiano Flores, Emyana Sirait, Mariusz Luterek, Richard Michael Dreyling, Barbora Tesarova
arxiv.org/abs/2510.09634