Tootfinder

CT 2 – Prospect Roster Decisions
#MLB #FantasyBaseball #PitcherList

The Moral Consequences of Your Decisions
https://curiouscatlinks.blogspot.com/2011/09/moral-consequences-of-your-decisions.html
It is no fun to think that I could save people's lives if I just lived a simple life and did…

Inside the Internal Debates of a Hospital Abortion Committee
#RoeYourVote #Vote4Healthcare #RoeVWAde

Inside the Internal Debates of a Hospital Abortion Committee
In states that banned abortion, doctors are left to wrestle with tough decisions about high-risk pregnancy care. “I don’t want to have a patient die and be responsible for it,” one Tennessee doctor said.

Everything we heard at 2024 NFL league meetings: QB thoughts, draft maneuvers, roster holes https://www.espn.com/nfl/story/_/id/39806461/nfl-owners-meetings-2024-buzz-annual-league-draft-movement-qb-decisi…

Everything we heard and buzz from 2024 NFL owners meetings - ESPN
NFL owners meetings wrapped up Tuesday, and our 20-plus reporters on the ground had all the buzz from Orlando.

#Decisions

How Reddit Scaled to Millions of (Permission) Decisions Per Second
https://www.permit.io/blog/how-reddit-scaled-to-millions-of-decisions-per-second

Interesting, some empirical research on how GPT4 /ChatGPT performs in summarizing. Still the low rate of errors can be unacceptable in some contexts. As noted "Life-critical medical decisions should remain based on full, critical, and thoughtful evaluation of the full text of research articles in context with clinical guidelines.".
http…

Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts
PURPOSE Worldwide clinical knowledge is expanding rapidly, but physicians have sparse time to review scientific literature. Large language models (eg, Chat Generative Pretrained Transformer [ChatGPT]), might help summarize and prioritize research articles to review. However, large language models sometimes “hallucinate” incorrect information. METHODS We evaluated ChatGPT’s ability to summarize 140 peer-reviewed abstracts from 14 journals. Physicians rated the quality, accuracy, and bias …

🔊 #NowPlaying on fip
Anz:
🎵 Decisions (am intro)
#Anz
https://open.spotify.com/track/2jzTmH1UR27OpAGnZW6tw7
https://anzdj.bandcamp.com/track/decisions-am-intro

Gaza / UNRWA
“I urge countries who have suspended their funding to re-consider their decisions before UNRWA is forced to suspend its humanitarian response. The lives of people in Gaza depend on this support and so does regional stability".
- Philippe Lazzarini, UNRWA Commissioner General
This includes the UK.
#Gaza #UNRWA

Ed Miliband still trying to salvage something green for Labour.
Labour would lift block on onshore windfarms, says Ed Miliband | Green politics | The Guardian
https://www.theguardian.com/environment/2024/feb/27/labour-onsh…

New Florida law upends nimbyism masquerading as historic preservation along coastline. Truly historic/wealthy historic areas (Palm Beach, St Augustine, Key West, heart of Miami Beach) still preserved. https://www.

A New Law Would Remove Many Architectural Protections in Miami Beach
Lawmakers say preservationists held too much power over decisions on whether buildings should be demolished and what should be allowed to replace them.

Causal blind spots when using prediction models for treatment decisions
Nan van Geloven, Ruth H Keogh, Wouter van Amsterdam, Giovanni Cin\`a, Jesse H. Krijthe, Niels Peek, Kim Luijken, Sara Magliacane, Pawe{\l} Morzywo{\l}ek, Thijs van Ommen, Hein Putter, Matthew Sperrin, Junfeng Wang, Daniala L. Weir, Vanessa Didelez
https://ar…

Causal blind spots when using prediction models for treatment decisions
Prediction models are increasingly proposed for guiding treatment decisions, but most fail to address the special role of treatments, leading to inappropriate use. This paper highlights the limitations of using standard prediction models for treatment decision support. We identify 'causal blind spots' in three common approaches to handling treatments in prediction modelling and illustrate potential harmful consequences in several medical applications. We advocate for an extension of guidelines …

Moore v. Harper ARGUED: 12/7/2022
The Supreme Court Considers the **Independent State Legislature Theory**, shoots it down! #law
**DECISION**: 6/27/2023: In a 6-3 opinion from Chief Justice John Roberts, the Court's majority found that the Constitution's Elections Clause does not vest exclusive and independent authority in state legislatures to set the rules regarding federal elec…

We Need Decisions of Our Partners – Zelenskyy: https://benborges.xyz/2024/04/20/we-need-decisions.html

(Not sure what the appropriate comment is - but this is a good thing)
https://www.theguardian.com/uk-news/2024/mar/27/yorkshire-estate-known-as-worlds-first-nature-r…

(Not sure what the appropriate comment is - but this is a good thing)
https://www.theguardian.com/uk-news/2024/mar/27/yorkshire-estate-known-as-worlds-first-nature-r…

This https://arxiv.org/abs/2310.13843 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Long Solution Times or Low Solution Quality: On Trade-Offs in Choosing a Power Flow Formulation for the Optimal Power Shutoff Problem
The Optimal Power Shutoff (OPS) problem is an optimization problem that makes power line de-energization decisions in order to reduce the risk of igniting a wildfire, while minimizing the load shed of customers. This problem, with DC linear power flow equations, has been used in many studies in recent years. However, using linear approximations for power flow when making decisions on the network topology is known to cause challenges with AC feasibility of the resulting network, as studied in th…

The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal
https://arxiv.org/abs/2403.17333

The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Artificial Intelligence (AI) models are now being utilized in all facets of our lives such as healthcare, education and employment. Since they are used in numerous sensitive environments and make decisions that can be life altering, potential biased outcomes are a pressing matter. Developers should ensure that such models don't manifest any unexpected discriminatory practices like partiality for certain genders, ethnicities or disabled people. With the ubiquitous dissemination of AI systems, re…

Write #PostcardsToVoters
What? Democratic Primary and Nonpartisan Election
When? Tuesday, May 21th
Who? John Barrow
For? Georgia Supreme Court
Why? Restore women's right to make their own medical decisions.
How? Be a voter!
Go to

postcardstovoters | Facebook | Linktree
Linktree. Make your link do more.

A cancer diagnosis often comes with a host of difficult decisions, including what to do about the impact of treatment on a person’s fertility.
Many individuals grappling with this dual burden turn to in vitro fertilization (IVF) as a way to preserve their reproductive options.
That’s why cancer patients and oncologists are expressing shock and anxiety about the recent ruling by the Alabama Supreme Court that frozen embryos are considered children under the law.
The ruling …

Alabama embryo ruling may have devastating effect on cancer patients
Worries are mounting about the ruling’s effect on people, including many cancer patients, who say IVF may be their only way of having a family.

Meta's Oversight Board extends its scope to Threads, letting users appeal Meta's content moderation decisions with the same process as on Facebook and Instagram (Ivan Mehta/TechCrunch)
https://techcrunch.com/2024/02/22/the-over…

Meta's Oversight Board extends its scope to Threads | TechCrunch
The Oversight Board announced today that it is expanding its scope to Threads along with Facebook and Instagram to scrutinize Meta's content moderation decisions.

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern
https://arxiv.org/abs/2404.16074

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Smart home systems are gaining popularity as homeowners strive to enhance their living and working environments while minimizing energy consumption. However, the adoption of artificial intelligence (AI)-enabled decision-making models in smart home systems faces challenges due to the complexity and black-box nature of these systems, leading to concerns about explainability, trust, transparency, accountability, and fairness. The emerging field of explainable artificial intelligence (XAI) addresse…

Is McCarthy’s combine absence a sign of diminished role on Cowboys? https://cowboyswire.usatoday.com/2024/02/27/mike-mccarthy-nfl-combine-cowboys/

Is McCarthy’s combine absence a sign of diminished role on Cowboys?
Mike McCarthy’s absence from the NFL Combine may or may not be a sign of shrinking influence in Cowboys draft decisions. | From @ReidDHanson

This https://arxiv.org/abs/2303.04225 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Feeling Optimistic? Ambiguity Attitudes for Online Decision Making
Due to the complexity of many decision making problems, tree search algorithms often have inadequate information to produce accurate transition models. Robust methods, designed to make safe decisions when faced with these uncertainties, often overlook the impact expressions of uncertainty have on how the decision is made. This work introduces the Ambiguity Attitude Graph Search (AAGS), advocating for more precise representation of ambiguities (uncertainty from a set of plausible models) in deci…

New Florida law upends nimbyism masquerading as historic preservation along coastline. Truly historic/wealthy historic areas (Palm Beach, St Augustine, Key West, heart of Miami Beach) still preserved. https://www.

A New Law Would Remove Many Architectural Protections in Miami Beach
Lawmakers say preservationists held too much power over decisions on whether buildings should be demolished and what should be allowed to replace them.

What They're Saying: A look around the AFC West at the NFL Combine https://www.raiders.com/news/what-they-re-saying-a-look-around-the-afc-west-at-the-nfl-combine

What They're Saying: A look around the AFC West at the NFL Combine
The Las Vegas Raiders' divisional opponents give a rundown on the AFC West, the Silver and Black's recent decisions.

This https://arxiv.org/abs/2310.16281 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Improving Robust Decisions with Data
A decision-maker faces uncertainty governed by a data-generating process (DGP), which is only known to belong to a set of sequences of independent but possibly non-identical distributions. A robust decision maximizes the expected payoff against the worst possible DGP in this set. This paper characterizes when and how such robust decisions can be improved with data, measured by the expected payoff under the true DGP, no matter which possible DGP is the truth. It further develops novel and simple…

Causal blind spots when using prediction models for treatment decisions
Nan van Geloven, Ruth H Keogh, Wouter van Amsterdam, Giovanni Cin\`a, Jesse H. Krijthe, Niels Peek, Kim Luijken, Sara Magliacane, Pawe{\l} Morzywo{\l}ek, Thijs van Ommen, Hein Putter, Matthew Sperrin, Junfeng Wang, Daniala L. Weir, Vanessa Didelez
https://ar…

Causal blind spots when using prediction models for treatment decisions
Prediction models are increasingly proposed for guiding treatment decisions, but most fail to address the special role of treatments, leading to inappropriate use. This paper highlights the limitations of using standard prediction models for treatment decision support. We identify 'causal blind spots' in three common approaches to handling treatments in prediction modelling and illustrate potential harmful consequences in several medical applications. We advocate for an extension of guidelines …

Deep dive on #Bluesky's architecture and its history. I have lots of opinions and conjectures but let’s let them finish telling their story first: https://newsletter.pragmaticengineer.c…

Building Bluesky: a Distributed Social Network (Real-World Engineering Challenges)
Bluesky is built by around 10 engineers, and has amassed 5 million users since publicly launching in February this year. A deep dive into novel design decisions, moving off AWS, and more.

This https://arxiv.org/abs/2401.12423 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Rank, Pack, or Approve: Voting Methods in Participatory Budgeting
Participatory budgeting is a popular method to engage residents in budgeting decisions by local governments. The Stanford Participatory Budgeting platform is an online platform that has been used to engage residents in more than 150 budgeting processes. We present a data set with anonymized budget opinions from these processes with K-approval, K-ranking or knapsack primary ballots. For a subset of the voters, it includes paired votes with a different elicitation method in the same process. This…

Ugh! I'm not a fan of customer complaints when they do not take into consideration why certain decisions and choices were made... especially when they add the "it wouldn't cost more do to it this way" bit because... yes it would! I know this because I'm the designer and manufacturer.

CaseLink: Inductive Graph Learning for Legal Case Retrieval
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
https://arxiv.org/abs/2403.17780 https:…

CaseLink: Inductive Graph Learning for Legal Case Retrieval
In case law, the precedents are the relevant cases that are used to support the decisions made by the judges and the opinions of lawyers towards a given case. This relevance is referred to as the case-to-case reference relation. To efficiently find relevant cases from a large case pool, retrieval tools are widely used by legal practitioners. Existing legal case retrieval models mainly work by comparing the text representations of individual cases. Although they obtain a decent retrieval accurac…

Time to make the final decisions for the novel edits. Deep breaths. #writinglife

‘Poisoned’ data could wreck AIs in wartime, warns Army software acquisition chief
“Any commercial LLM that is out there, that is learning from the internet, is poisoned today…but our main concern [is] those algorithms that are going to be informing battlefield decisions.”

‘Poisoned’ data could wreck AIs in wartime, warns Army software acquisition chief
“Any commercial LLM that is out there, that is learning from the internet, is poisoned today,” Jennifer Swanson said, “but our main concern [is] those algorithms that are going to be informing battlefield decisions.”

This https://arxiv.org/abs/2310.13843 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Long Solution Times or Low Solution Quality: On Trade-Offs in Choosing a Power Flow Formulation for the Optimal Power Shutoff Problem
The Optimal Power Shutoff (OPS) problem is an optimization problem that makes power line de-energization decisions in order to reduce the risk of igniting a wildfire, while minimizing the load shed of customers. This problem, with DC linear power flow equations, has been used in many studies in recent years. However, using linear approximations for power flow when making decisions on the network topology is known to cause challenges with AC feasibility of the resulting network, as studied in th…

🔊 Auf radioeins läuft...
The Strokes:
🎵 Bad decisions
#NowPlaying #TheStrokes
https://open.spotify.com/track/55N8cxpE1QDoeaaNqUnoZ2
https://hotelofthelaughingtree.bandcamp.com/track/bad-decisions-the-strokes

Kiel oni farus gravajn decidojn pri sia vivo? Ĉu resti aŭ iri? Ĉu resti kun konitaj kostoj, aŭ iri al malbone konitaj gajnoj? Jen koncerna artikolo: https://www.newscientist.com/article/mg26134821-700-how-neuroscien…

This https://arxiv.org/abs/2310.03617 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

RouteKG: A knowledge graph-based framework for route prediction on road networks
Short-term route prediction on road networks allows us to anticipate the future trajectories of road users, enabling a plethora of intelligent transportation applications such as dynamic traffic control or personalized route recommendation. Despite recent advances in this area, existing methods focus primarily on learning sequential transition patterns, neglecting the inherent spatial structural relations in road networks that can affect human routing decisions. To fill this gap, this paper int…

2024 NFL Draft: Day 2 quick-snap grades for all 32 teams https://www.nfl.com/news/2024-nfl-draft-day-2-quick-snap-grades-for-all-32-teams

2024 NFL Draft: Day 2 quick-snap grades for all 32 teams
Chad Reuter reveals his quick-snap grades for all 32 teams based on their decisions from Day 2 of the 2024 NFL Draft. 

Cost-benefit analysis of ecosystem modelling to support fisheries management
Matthew H. Holden, Eva E. Plag\'anyi, Elizabeth A. Fulton, Alexander B. Campbell, Rachel Janes, Robyn A. Lovett, Montana Wickens, Matthew P. Adams, Larissa Lubiana Botelho, Catherine M. Dichmont, Philip Erm, Kate J Helmstedt, Ryan F. Heneghan, Manuela Mendiolar, Anthony J. Richardson, Jacob G. D. Rogers, Kate Saunders, Liam Timms

Cost-benefit analysis of ecosystem modelling to support fisheries management
Mathematical and statistical models underlie many of the world's most important fisheries management decisions. Since the 19th century, difficulty calibrating and fitting such models has been used to justify the selection of simple, stationary, single-species models to aid tactical fisheries management decisions. Whereas these justifications are reasonable, it is imperative that we quantify the value of different levels of model complexity for supporting fisheries management, especially given a…

Geometric Deep Learning for Computer-Aided Design: A Survey
Negar Heidari, Alexandros Iosifidis
https://arxiv.org/abs/2402.17695 https://

Geometric Deep Learning for Computer-Aided Design: A Survey
Geometric Deep Learning techniques have become a transformative force in the field of Computer-Aided Design (CAD), and have the potential to revolutionize how designers and engineers approach and enhance the design process. By harnessing the power of machine learning-based methods, CAD designers can optimize their workflows, save time and effort while making better informed decisions, and create designs that are both innovative and practical. The ability to process the CAD designs represented b…

This https://arxiv.org/abs/2310.18011 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Data journeys in popular science: Producing climate change and COVID-19 data visualizations at Scientific American
Vast amounts of (open) data are increasingly used to make arguments about crisis topics such as climate change and global pandemics. Data visualizations are central to bringing these viewpoints to broader publics. However, visualizations often conceal the many contexts involved in their production, ranging from decisions made in research labs about collecting and sharing data to choices made in editorial rooms about which data stories to tell. In this paper, we examine how data visualizations a…

Pattern runs on matter: The free monad monad as a module over the cofree comonad comonad
Sophie Libkind, David I. Spivak
https://arxiv.org/abs/2404.16321 h…

Pattern runs on matter: The free monad monad as a module over the cofree comonad comonad
Interviews run on people, programs run on operating systems, voting schemes run on voters, games run on players. Each of these is an example of the abstraction pattern runs on matter. Pattern determines the decision tree that governs how a situation can unfold, while matter responds with decisions at each juncture. In this article, we will give a straightforward and concrete construction of the free monad monad for $(\mathbf{Poly}, \mathbin{\triangleleft}, \mathcal{y})$, the category of polyn…

Deservedly down 1-0 because #LFC have been atrocious from the outset. Andy Madley has not helped with some really one-sided decisions, but that doesn't matter because the team has been so very poor.

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern
https://arxiv.org/abs/2404.16074

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Smart home systems are gaining popularity as homeowners strive to enhance their living and working environments while minimizing energy consumption. However, the adoption of artificial intelligence (AI)-enabled decision-making models in smart home systems faces challenges due to the complexity and black-box nature of these systems, leading to concerns about explainability, trust, transparency, accountability, and fairness. The emerging field of explainable artificial intelligence (XAI) addresse…

Monographs that basically say "trust me, I'm a historian" re: sources and methodology drive me nuts. You made decisions about what collections to consult and what evidence to use, decisions that when explained help the reader evaluate your argument. It wouldn't kill you to write a few paragraphs on this process. Those who aren't interested in the method will skip it and those who are will have a deeper appreciation for all of your hard work. @…

Report: Dallas Cowboys not expected to use 2024 franchise tag on Tony Pollard https://www.yardbarker.com/nfl/articles/report_dallas_cowboys_not_expected_to_use_2024_franchise_tag_on_tony_pollard/s1_17…

Report: Dallas Cowboys not expected to use 2024 franchise tag on Tony Pollard
One of the Dallas Cowboys’ hardest decisions of the 2024 offseason is what to do with running back Tony Pollard. After using the 2023 franchise tag on him to lock his salary in at $10.1 million, the Cowboys would have to pay him a 20% increase to tag him again for next season. According to NFL insider Adam Schefter, Dallas is not expected to pay that $12.1 million for a tag on Pollard in 2024. Instead, the organization can negotiate a deal of lesser value for the former fourth-round draft pic…

Genuinely curious: what’s the point in developer advocacy or developer relations work if the parent company requires radio silence during periods of extreme criticism, facing backlash for the company’s direction and decisions?
Shouldn’t this be the moment in which your team are *most* useful?

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference
Gordian Edenhofer, Philipp Frank, Jakob Roth, Reimar H. Leike, Massin Guerdi, Lukas I. Scheel-Platz, Matteo Guardiani, Vincent Eberle, Margret Westerkamp, Torsten A. En{\ss}lin
https://arxiv.org/abs/2402.16683…

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference
Imaging is the process of transforming noisy, incomplete data into a space that humans can interpret. NIFTy is a Bayesian framework for imaging and has already successfully been applied to many fields in astrophysics. Previous design decisions held the performance and the development of methods in NIFTy back. We present a rewrite of NIFTy, coined NIFTy.re, which reworks the modeling principle, extends the inference strategies, and outsources much of the heavy lifting to JAX. The rewrite dramati…

My name is Sheldon Whitehouse, and I’m running for re-election in Rhode Island for the United States Senate.
I’m hoping you’ll support my campaign – and here’s why.
It’s been clear for a long time that the Supreme Court has a corruption problem. I recently published a law review article highlighting how this captured Supreme Court often simply makes up false facts to arrive at decisions that ultimately benefit partisan Republican special interests.
Our system is designed t…

I just gave to Sheldon Whitehouse!
I just donated to Sheldon Whitehouse to join him in the fight to eradicate dark money from our democracy, restore integrity to the Supreme Court, fight the climate crisis, make health care more affordable, and build an America that works for everyone. Want to join the movement? Donate here >>>

This https://arxiv.org/abs/2310.16281 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Improving Robust Decisions with Data
A decision-maker faces uncertainty governed by a data-generating process (DGP), which is only known to belong to a set of sequences of independent but possibly non-identical distributions. A robust decision maximizes the expected payoff against the worst possible DGP in this set. This paper characterizes when and how such robust decisions can be improved with data, measured by the expected payoff under the true DGP, no matter which possible DGP is the truth. It further develops novel and simple…

OH: "Bullets kill people, even PowerPoint bullets."
cf: https://cognitect.com/blog/2011/11/15/documenting-architecture-decisions

Deep dive on #Bluesky's architecture and its history. I have lots of opinions and conjectures but let’s let them finish telling their story first: https://newsletter.pragmaticengineer.c…

Building Bluesky: a Distributed Social Network (Real-World Engineering Challenges)
Bluesky is built by around 10 engineers, and has amassed 5 million users since publicly launching in February this year. A deep dive into novel design decisions, moving off AWS, and more.

Bike3S: A Tool for Bike Sharing Systems Simulation
Alberto Fern\'andez, Holger Billhardt, Sascha Ossowski, \'Oscar S\'anchez
https://arxiv.org/abs/2402.16871

Bike3S: A Tool for Bike Sharing Systems Simulation
Vehicle sharing systems are becoming increasingly popular. The effectiveness of such systems depends, among other factors, on different strategic and operational management decisions and policies, like the dimension of the fleet or the distribution of vehicles. It is of foremost importance to be able to anticipate and evaluate the potential effects of such strategies before they can be successfully deployed. In this paper we present Bike3S, a simulator for a station-based bike sharing system. T…

This https://arxiv.org/abs/2304.00899 has been replaced.
link: https://scholar.google.com/scholar?q=a

Load Balancing with Job-Size Testing: Performance Improvement or Degradation?
In the context of decision making under explorable uncertainty, scheduling with testing is a powerful technique used in the management of computer systems to improve performance via better job-dispatching decisions. Upon job arrival, a scheduler may run some \emph{testing algorithm} against the job to extract some information about its structure, e.g., its size, and properly classify it. The acquisition of such knowledge comes with a cost because the testing algorithm delays the dispatching dec…

Former Raiders GM joins Saints through 2024 draft https://www.yardbarker.com/nfl/articles/former_raiders_gm_joins_saints_through_2024_draft/s1_14819_40021992

Former Raiders GM joins Saints through 2024 draft
When the Raiders fired head coach Josh McDaniels midway through his second season with the team, general manager Dave Ziegler was also dismissed. The latter has found his next NFL opportunity, at least on a short-term basis. Ziegler is joining the Saints as an advisor through the upcoming draft, CBS Sports’ Jonathan Jones reports. This temporary agreement will give New Orleans an experienced voice in key personnel decisions over the coming weeks as the team navigates its annual slate of cap g…

The weirdest thing about the AI hype is that people 50 years ago have made convincing arguments that it doesn’t matter if AI can make human-like decisions or not—it’s still humans responsible for creating these AIs and asking them to make said decisions.
But it’s sold as an easy way out of responsibility.
Responsibility to pay people fairly for their work. Responsibility about literal life-or-death medical and financial decisions. Responsibility about dropping bombs on people.<…

This https://arxiv.org/abs/2402.14174 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Blending Data-Driven Priors in Dynamic Games
As intelligent robots like autonomous vehicles become increasingly deployed in the presence of people, the extent to which these systems should leverage model-based game-theoretic planners versus data-driven policies for safe, interaction-aware motion planning remains an open question. Existing dynamic game formulations assume all agents are task-driven and behave optimally. However, in reality, humans tend to deviate from the decisions prescribed by these models, and their behavior is better a…

Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
Caroline Rublein, Fidan Mehmeti, Mark Mahon, Thomas F. La Porta
https://arxiv.org/abs/2403.15665

Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
Edge computing has become a very popular service that enables mobile devices to run complex tasks with the help of network-based computing resources. However, edge clouds are often resource-constrained, which makes resource allocation a challenging issue. In addition, edge cloud servers must make allocation decisions with only limited information available, since the arrival of future client tasks might be impossible to predict, and the states and behavior of neighboring servers might be obscur…

2024 NFL Draft: Final quick-snap grades for all 32 teams https://www.nfl.com/news/2024-nfl-draft-final-quick-snap-grades-for-all-32-teams

2024 NFL Draft: Final quick-snap grades for all 32 teams
Chad Reuter reveals his final quick-snap grades for all 32 teams based on their decisions from all three days of the 2024 NFL Draft. 

You can tell the database to collect stats and improve the decisions the query planner makes with the ANALYZE TABLE statement, using e.g. the histogram method. - @… #phptek
More info for MySQL:

It’s tough going through years of items from my childhood. Had to make some difficult decisions on what to keep, donate or throw away.

Using data to make decisions is important to effective #management But using data goes far beyond math. To make judgements we need to understand the source of data. We need to understand the potential weaknesses in the data. We need to understand how to apply statistical thinking to make decisions using the data.
The data gathered are a result of the system. If the system creates fear amo…

Learning to Maximize (Expected) Utility
Thomas Dohmen, Georgios Gerasimou
https://arxiv.org/abs/2402.16538 https://arxiv.org/pdf/2402…

Learning to Maximize (Expected) Utility
We study if participants in a choice experiment learn to behave in ways that are closer to the predictions of ordinal and expected utility theory as they make decisions from the same menus repeatedly and without receiving feedback of any kind. We designed and implemented a non-forced-choice lab experiment with money lotteries and five repetitions per menu that aimed to test this hypothesis from many behavioural angles. In our data from 308 subjects in the UK and Germany, significantly more indi…

🧑‍🤝‍🧑 Double or nothing: Australia’s first ‘job-sharing’ political candidates raise constitutional questions
https://www.theguardian.com/australia-news/2024/apr/21/double-or-n…

Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability
Zirui Qiu, Hassan Rivaz, Yiming Xiao
https://arxiv.org/abs/2403.16970

Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability
As deep learning has become the state-of-the-art for computer-assisted diagnosis, interpretability of the automatic decisions is crucial for clinical deployment. While various methods were proposed in this domain, visual attention maps of clinicians during radiological screening offer a unique asset to provide important insights and can potentially enhance the quality of computer-assisted diagnosis. With this paper, we introduce a novel deep-learning framework for joint disease diagnosis and pr…

If, like me, you find biofilm formation and quorum-sensing fascinating, have a read:
https://www.scientificamerican.com/article/bacteria-make-decisions-based-on-generational-memories/

Bacteria Make Decisions Based on Generational Memories
Bacteria choose to swarm based on what happened to their great-grandparents

Far Out
Step into the role of lab technician Zack Paterson and uncover the mystery of Selene's expedition. With no maps or guidance to rely on, your wits become the sole compass guiding the path. Prepare yourself for an exciting adventure, as multiple endings await your decisions!
https://escapismsoftworks.…

A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems
Richard Schubert, Cedrik Kaufmann, Marcus Nolte, Markus Maurer
https://arxiv.org/abs/2404.16502

A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems
Supervising the safe operation of automated vehicles is a key requirement in order to unleash their full potential in future transportation systems. In particular, previous publications have argued that SAE Level 4 vehicles should be aware of their capabilities at runtime to make appropriate behavioral decisions. In this paper, we present a framework that enables the implementation of an online capability monitor. We derive a graphical system model that captures the relationships between the qu…

Shape of Cowboys' 2024 running back room hinges on philosophy https://insidethestar.com/shape-of-cowboys-2024-running-back-room-hinges-on-philosophy/

Shape of Cowboys' 2024 running back room hinges on philosophy ⋆ Inside The Star
Get a sneak peek into the Dallas Cowboys' running back room. Discover the philosophy that will shape their roster decisions for the 2024 NFL season.

A deep dive into how Bluesky is built, including its growth from three engineers to 12 in just over two years and its infrastructure move from AWS to on-prem (The Pragmatic Engineer)
https://newsletter.pragmaticengineer.com/p/bluesky

Building Bluesky: a Distributed Social Network (Real-World Engineering Challenges)
Bluesky is built by around 10 engineers, and has amassed 5 million users since publicly launching in February this year. A deep dive into novel design decisions, moving off AWS, and more.

My name is Sheldon Whitehouse, and I’m running for re-election in Rhode Island for the United States Senate.
I’m hoping you’ll support my campaign – and here’s why.
It’s been clear for a long time that the Supreme Court has a corruption problem. I recently published a law review article highlighting how this captured Supreme Court often simply makes up false facts to arrive at decisions that ultimately benefit partisan Republican special interests.
Our system is designed t…

I just gave to Sheldon Whitehouse!
I just donated to Sheldon Whitehouse to join him in the fight to eradicate dark money from our democracy, restore integrity to the Supreme Court, fight the climate crisis, make health care more affordable, and build an America that works for everyone. Want to join the movement? Donate here >>>

This https://arxiv.org/abs/2310.18011 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Data journeys in popular science: Producing climate change and COVID-19 data visualizations at Scientific American
Vast amounts of (open) data are increasingly used to make arguments about crisis topics such as climate change and global pandemics. Data visualizations are central to bringing these viewpoints to broader publics. However, visualizations often conceal the many contexts involved in their production, ranging from decisions made in research labs about collecting and sharing data to choices made in editorial rooms about which data stories to tell. In this paper, we examine how data visualizations a…

This https://arxiv.org/abs/2309.12368 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Today's AI systems for medical decision support often succeed on benchmark datasets in research papers but fail in real-world deployment. This work focuses on the decision making of sepsis, an acute life-threatening systematic infection that requires an early diagnosis with high uncertainty from the clinician. Our aim is to explore the design requirements for AI systems that can support clinical experts in making better decisions for the early diagnosis of sepsis. The study begins with a format…

How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Benjamin Fresz, Elena Dubovitskaya, Danilo Brajovic, Marco Huber, Christian Horz
https://arxiv.org/abs/2404.12762

How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
This paper investigates the relationship between law and eXplainable Artificial Intelligence (XAI). While there is much discussion about the AI Act, for which the trilogue of the European Parliament, Council and Commission recently concluded, other areas of law seem underexplored. This paper focuses on European (and in part German) law, although with international concepts and regulations such as fiduciary plausibility checks, the General Data Protection Regulation (GDPR), and product safety an…

Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
Caroline Rublein, Fidan Mehmeti, Mark Mahon, Thomas F. La Porta
https://arxiv.org/abs/2403.15665

Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
Edge computing has become a very popular service that enables mobile devices to run complex tasks with the help of network-based computing resources. However, edge clouds are often resource-constrained, which makes resource allocation a challenging issue. In addition, edge cloud servers must make allocation decisions with only limited information available, since the arrival of future client tasks might be impossible to predict, and the states and behavior of neighboring servers might be obscur…

This https://arxiv.org/abs/2402.13391 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

De-Biasing the Bias: Methods for Improving Disparity Assessments with Noisy Group Measurements
Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to and quality of health care. Further complicating the problem, clinical data often have missing or poor quality racial and ethnic information, which can lead to misleading assessments of algorithmic bias. We present novel statistical methods that allow for the use of probabilities of racial/ethnic group membership in a…

🔊 Auf radioeins läuft...
The Strokes:
🎵 Bad decisions
#NowPlaying #TheStrokes
https://open.spotify.com/track/55N8cxpE1QDoeaaNqUnoZ2
https://hotelofthelaughingtree.bandcamp.com/track/bad-decisions-the-strokes

An Interactive Decision-Support Dashboard for Optimal Hospital Capacity Management
Felix Parker, Diego A. Mart\'inez, James Scheulen, Kimia Ghobadi
https://arxiv.org/abs/2403.15634

An Interactive Decision-Support Dashboard for Optimal Hospital Capacity Management
Data-driven optimization models have the potential to significantly improve hospital capacity management, particularly during demand surges, when effective allocation of capacity is most critical and challenging. However, integrating models into existing processes in a way that provides value requires recognizing that hospital administrators are ultimately responsible for making capacity management decisions, and carefully building trustworthy and accessible tools for them. In this study, we de…

another lovely post from Havi at the Fluent Self
"Each day I try to practice moving even more slowly, even more deliberately. Making good decisions, receiving useful intel, adapting as needed.
"What day is it? It’s Moving Deliberately & Making Good Decisions Day."
#LongCovid

Spagnola: Needing To Make All The Right Decisions https://www.dallascowboys.com/news/spagnola-needing-to-make-all-the-right-decisions

Spagnola: Needing To Make All The Right Decisions
Decisions. Decisions. Decisions. If this were a political thing, we’d be calling this: Decision 2024.

This https://arxiv.org/abs/2402.03910 has been replaced.
link: https://scholar.google.com/scholar?q=a

Understanding Trends, Patterns, and Dynamics in Global Acquisitions: A Network Perspective
Studying acquisitions offers invaluable insights into startup trends, aiding informed investment decisions for businesses. However, the scarcity of studies in this domain prompts our focus on shedding light in this area. Employing Crunchbase data, our study delves into the global network of company acquisitions using diverse network analysis techniques. Our findings unveil an acquisition network characterized by a primarily sparse structure comprising localized dense connections. We reveal a pr…

Who knew that a good toilet costs roughly a third of round-trip airfare to western Europe? Just think of how many toilets I could own had I made different decisions. #renovations

Across the nation, MAGA Republicans continue to insert themselves into the most personal decisions a family can make, from contraception to IVF. You can thank Donald Trump.

Kontakt.io, whose software and Bluetooth devices help hospital managers make decisions about patients, beds, and equipment, raised $47.5M from Goldman Sachs (Mark Bergen/Bloomberg)
https://www.bloomberg.com/news/articles/20

Goldman Sachs Backs AI in Hospitals With $47.5 Million Kontakt.io Investment
The growth equity unit of Goldman Sachs Group Inc. has invested $47.5 million in Kontakt.io, a startup that helps hospital managers make decisions about patients, beds and equipment.

Raiders GM Tom Telesco will have final say on all personnel decisions https://raiderswire.usatoday.com/2024/02/15/raiders-gm-tom-telesco-will-have-final-say-on-all-personnel-decisions/

Raiders GM Tom Telesco will have final say on all personnel decisions
Raiders GM Tom Telesco will have final say on all personnel decisions

This https://arxiv.org/abs/2207.02894 has been replaced.
link: https://scholar.google.com/scholar?q=a

Learning Acceptability Criteria from Good and Bad Decisions: An Inverse Optimization Approach
Conventional inverse optimization inputs a solution and finds the parameters of an optimization model that render a given solution optimal. The literature mostly focuses on inferring the objective function in linear problems when acceptable solutions are provided as input. In this paper, we propose an inverse optimization model that inputs several accepted and rejected solutions and recovers the underlying convex optimization model that can be used to generate such solutions. The novelty of our…

This https://arxiv.org/abs/2301.10640 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
Adaptive enrichment allows for pre-defined patient subgroups of interest to be investigated throughout the course of a clinical trial. Many trials which measure a long-term time-to-event endpoint often also routinely collect repeated measures on biomarkers which may be predictive of the primary endpoint. Although these data may not be leveraged directly to support subgroup selection decisions and early stopping decisions, we aim to make greater use of these data to increase efficiency and impro…

Optimal Hospital Capacity Management During Demand Surges
Felix Parker, Fardin Ganjkhanloo, Diego A. Mart\'inez, Kimia Ghobadi
https://arxiv.org/abs/2403.15738

Optimal Hospital Capacity Management During Demand Surges
Effective hospital capacity management is pivotal for enhancing patient care quality, operational efficiency, and healthcare system resilience, notably during demand spikes like those seen in the COVID-19 pandemic. However, devising optimal capacity strategies is complicated by fluctuating demand, conflicting objectives, and multifaceted practical constraints. This study presents a data-driven framework to optimize capacity management decisions within hospital systems during surge events. Two k…

Dallas Cowboys' Future Hinges On Roster Decisions Yet To Be Made https://www.yardbarker.com/nfl/articles/dallas_cowboys_future_hinges_on_roster_decisions_yet_to_be_made/s1_17304_40255787

Dallas Cowboys' Future Hinges On Roster Decisions Yet To Be Made
"We will be all in," Jerry Jones said at the end of January about the Dallas Cowboys' offseason. Since then, Jones has tried to clarify what he meant. His definition of "all-in" might differ from everyone else's, but the main sentiment was that the Cowboys would focus on 2024 and not on the future. The Cowboys aren't focused on the future because their approach to the 2024 offseason makes the coming season the most significant pivot point for any team in the league. Dallas isn't helping itself…

The Mozilla Foundation and 90 research and advocacy groups urge Meta to support CrowdTangle through January 2025 to track election misinformation globally (Karissa Bell/Engadget)
https://www.engadget.com/researchers-ask-m

Researchers ask Meta to keep CrowdTangle online until after 2024 elections
The Mozilla Foundation and dozens of other research and advocacy groups are pushing back on Meta’s decisions to shut down its research tool, CrowdTangle...

A communication-efficient, online changepoint detection method for monitoring distributed sensor networks
Ziyang Yang, Idris A. Eckley, Paul Fearnhead
https://arxiv.org/abs/2403.18549

A communication-efficient, online changepoint detection method for monitoring distributed sensor networks
We consider the challenge of efficiently detecting changes within a network of sensors, where we also need to minimise communication between sensors and the cloud. We propose an online, communication-efficient method to detect such changes. The procedure works by performing likelihood ratio tests at each time point, and two thresholds are chosen to filter unimportant test statistics and make decisions based on the aggregated test statistics respectively. We provide asymptotic theory concerning …

Patriots executive Eliot Wolf to speak Tuesday: Here's what you should know about him https://www.espn.com/nfl/story/_/id/39587349/what-know-patriots-director-scouting-eliot-wolf

What to know about Patriots director of scouting Eliot Wolf - ESPN
New England has a new person making the personnel decisions -- and the new era starts at the NFL combine on Tuesday.

The Sample Average Approximation Method for Solving Two-Stage Stochastic Programs with Endogenous Uncertainty
Maria Bazotte, Margarida Carvalho, Thibaut Vidal
https://arxiv.org/abs/2402.15486

The Sample Average Approximation Method for Solving Two-Stage Stochastic Programs with Endogenous Uncertainty
Real-world decision-making problems involve Type 1 decision-dependent uncertainty, where the probability distribution of the stochastic process depends on the model decisions. However, few studies focus on two-stage stochastic programs with this type of endogenous uncertainty, and those that do lack general methodologies. We thus propose herein a general method for solving a class of these programs based on the transformation of random variables, a technique widely employed in probability and s…

2024 NFL Draft: Ranking every position group and how they could impact future decisions in free agency

https://www.cbssports.com/nfl/draft/new…

2024 NFL Draft: Ranking every position group and how they could impact future decisions in free agency
Do clubs act now or wait?

Latest Cowboys' injury news makes dull free agency approach even more baffling https://www.yardbarker.com/nfl/articles/latest_cowboys_injury_news_makes_dull_free_agency_approach_even_more_bafflin…

Latest Cowboys' injury news makes dull free agency approach even more baffling
The Dallas Cowboys' dull start to free agency isn't anything fans aren't used to. Despite it being the most valuable franchise in sports, they're not really that much into spending cash on free agent signings. This is obviously frustrating for Cowboys Nation, specially this time of the year when many other teams (including division rivals) seem to be getting better with additions of their own.  One of the most frustrating free agent decisions thus far for the Cowboys has been letting Johnathan…

Cowboys Exec Sounds off on Trey Lance as Dak Prescott Decision Looms https://heavy.com/sports/dallas-cowboys/trey-lance-as-qb-decisions-loom/?adt_ei=[email]

Cowboys Exec Sounds off on Trey Lance as Dak Prescott Decision Looms
Cowboys exec Stephen Jones says the team is excited about Trey lance as a QB prospect as Dak Prescott contract talks stall.

Jerry Jones says Tyler Smith could replace Tyron Smith at LT https://www.yardbarker.com/nfl/articles/jerry_jones_says_tyler_smith_could_replace_tyron_smith_at_lt/s1_17236_40155446

Jerry Jones says Tyler Smith could replace Tyron Smith at LT
The Dallas Cowboys have hard decisions ahead after letting long-time starting left tackle Tyron Smith walk into a new one-year deal with the New York Jets. Figuring out how to replace Smith now becomes a top priority with many speculating the team will opt to draft a left tackle in the first round of the 2024 NFL Draft. Perhaps not wanting to confirm their big draft plans for their No. 24 overall selection, team owner Jerry Jones told reporters at annual league meetings in Orlando this week tha…

Robert Griffin III calls out Jerry Jones and the Dallas Cowboys for their reluctance to pay Dak Prescott, labels the team’s behavior ‘toxic’ https://www.yardbarker.com/nfl…