Tootfinder

Evaluation of Machine Learning Models in Student Academic Performance Prediction
A. G. R. Sandeepa, Sanka Mohottala
https://arxiv.org/abs/2506.08047 https:…

Evaluation of Machine Learning Models in Student Academic Performance Prediction
This research investigates the use of machine learning methods to forecast students' academic performance in a school setting. Students' data with behavioral, academic, and demographic details were used in implementations with standard classical machine learning models including multi-layer perceptron classifier (MLPC). MLPC obtained 86.46% maximum accuracy for test set across all implementations. Under 10-fold cross validation, MLPC obtained 79.58% average accuracy for test set while for train…

Last year I wrote a paper on how "GenAI" is a risk for #citizenscience (it being an academic paper it's still slowly dying in review). One of the points was that using "AI" devalues the contributions made by human volunteers, leading to contributors (rightfully) disengaging.
Yesterday, #inaturalist announced an "AI"-partnership with Google, and unsurprisingly that's exactly the backlash they got…
https://www.inaturalist.org/blog/113184-inaturalist-receives-grant-to-improve-species-suggestions

SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance
Wentao Ge, Yuqing Sun, Ziyan Wang, Haoyue Zheng, Weiyang He, Piaohong Wang, Qianyu Zhu, Benyou Wang
https://arxiv.org/abs/2506.09968

SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance
Self-regulated learning (SRL) is crucial for college students navigating increased academic demands and independence. Insufficient SRL skills can lead to disorganized study habits, low motivation, and poor time management, undermining learners ability to thrive in challenging environments. Through a formative study involving 59 college students, we identified key challenges students face in developing SRL skills, including difficulties with goal-setting, time management, and reflective learning…

Securing Open RAN: A Survey of Cryptographic Challenges and Emerging Solutions for 5G
Ryan Barker, Fatemeh Afghah
https://arxiv.org/abs/2506.09418 https://…

Securing Open RAN: A Survey of Cryptographic Challenges and Emerging Solutions for 5G
The advent of Open Radio Access Networks (O-RAN) introduces modularity and flexibility into 5G deployments but also surfaces novel security challenges across disaggregated interfaces. This literature review synthesizes recent research across thirteen academic and industry sources, examining vulnerabilities such as cipher bidding-down attacks, partial encryption exposure on control/user planes, and performance trade-offs in securing O-RAN interfaces like E2 and O1. The paper surveys key cryptogr…

Microservices and Real-Time Processing in Retail IT: A Review of Open-Source Toolchains and Deployment Strategies
Aaditaa Vashisht (Department of Information Science,Engineering, RV College of Engineering, India), Rekha B S (Department of Information Science,Engineering, RV College of Engineering, India)
https://arxiv.org/abs/25…

Microservices and Real-Time Processing in Retail IT: A Review of Open-Source Toolchains and Deployment Strategies
With the rapid pace of digital transformation, the retail industry is increasingly depending on real-time, scalable, and resilient systems to manage financial transactions, analyze customer behavior, and streamline order processing. This literature review explores how modern event-driven and microservices-based architectures, particularly those leveraging Apache Kafka, Spring Boot, MongoDB, and Kubernetes are transforming retail and financial systems. By systematically reviewing academic public…

On The Political Roots of Academic Freedom — Crooked Timber https://crookedtimber.org/2025/06/03/on-the-political-roots-of-academic-freedom/

MetaInfoSci: An Integrated Web Tool for Scholarly Data Analysis
Kiran Sharmaa, Parul Khurana, Ziya Uddina
https://arxiv.org/abs/2506.09056 https://

MetaInfoSci: An Integrated Web Tool for Scholarly Data Analysis
The exponential increase in academic publications has made it increasingly difficult for researchers to remain up to date and systematically synthesize knowledge scattered across vast and fragmented research domains. Literature reviews, particularly those supported by bibliometric methods, have become essential in organizing prior findings and guiding future research directions. While numerous tools exist for bibliometric analysis and network science, there is currently no single platform that …

New Approximation Guarantees for The Inventory Staggering Problem
Noga Alon, Danny Segev
https://arxiv.org/abs/2506.10339 https://arx…

New Approximation Guarantees for The Inventory Staggering Problem
Since its inception in the mid-60s, the inventory staggering problem has been explored and exploited in a wide range of application domains, such as production planning, stock control systems, warehousing, and aerospace/defense logistics. However, even with a rich history of academic focus, we are still very much in the dark when it comes to cornerstone computational questions around inventory staggering and to related structural characterizations, with our methodological toolbox being severely…

Academic conferences often pick talk submissions on the basis of 2 or 3 review scores, which I guess has no real statistical power, especially without any of the balancing usually done with things like likert scales when they're treated properly.. different people treat the scores very differently and that should be accounted for or it's really just down to chance. Researchers can be very unscientific sometimes!
Better to just ask
- does this properly address the topic of …

Linking Data Citation to Repository Visibility: An Empirical Study
Fakhri Momeni, Janete Saldanha Bach, Brigitte Mathiak, Peter Mutschke
https://arxiv.org/abs/2506.09530

Linking Data Citation to Repository Visibility: An Empirical Study
In today's data-driven research landscape, dataset visibility and accessibility play a crucial role in advancing scientific knowledge. At the same time, data citation is essential for maintaining academic integrity, acknowledging contributions, validating research outcomes, and fostering scientific reproducibility. As a critical link, it connects scholarly publications with the datasets that drive scientific progress. This study investigates whether repository visibility influences data citatio…

Excited to report that our script to help the public contact elected officials to demand they intervene and end #censorship has been added to 5calls.org! Make your calls today to #DefendResearch! Pass this along to your community!

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
Issa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha
https://arxiv.org/abs/2506.08762

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
Financial analysis presents complex challenges that could leverage large language model (LLM) capabilities. However, the scarcity of challenging financial datasets, particularly for Japanese financial data, impedes academic innovation in financial analytics. As LLMs advance, this lack of accessible research resources increasingly hinders their development and evaluation in this specialized domain. To address this gap, we introduce EDINET-Bench, an open-source Japanese financial benchmark design…

The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students
Siddharth Siddharth, Brainerd Prince, Amol Harsh, Shreyas Ramachandran
https://arxiv.org/abs/2506.08041

The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students
This work presents a novel course titled The World of AI designed for first-year undergraduate engineering students with little to no prior exposure to AI. The central problem addressed by this course is that engineering students often lack foundational knowledge of AI and its broader societal implications at the outset of their academic journeys. We believe the way to address this gap is to design and deliver an interdisciplinary course that can a) be accessed by first-year undergraduate engin…

Hivemind: I noticed that my academic CV is the last document I maintain in #TeXLaTeX. Is there a #Markdown (preferably #pandoc) based CV system/template/filter that you can recommend? PDF output is required, HTML …

"In coming weeks, proposed job cuts and restructures will be released for the Academic Portfolio, Research and Innovation Portfolio, the College of Science and Medicine, and the College of Arts and Social Sciences."
https://www.abc.net.au/news/2025…

Australian National University announces first round of job cuts as part of effort to turn around financial issues
As the Australian National University grapples with its dire financial position, the first of several rounds of job cuts has been announced as the institution seeks to save $250 million by the end of the year, including $100 million from salaries.

@… I don’t know about Bristol, and I don’t have any particular insights, but I seem to remember that the negotiations between the Consortium of Swiss Academic Libraries with Cambridge were difficult, too. In any case, it’s always interesting to look at the conditions:

@… I don’t know about Bristol, and I don’t have any particular insights, but I seem to remember that the negotiations between the Consortium of Swiss Academic Libraries with Cambridge were difficult, too. In any case, it’s always interesting to look at the conditions:

This https://arxiv.org/abs/2504.15585 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
The remarkable success of Large Language Models (LLMs) has illuminated a promising pathway toward achieving Artificial General Intelligence for both academic and industrial communities, owing to their unprecedented performance across various applications. As LLMs continue to gain prominence in both research and commercial domains, their security and safety implications have become a growing concern, not only for researchers and corporations but also for every nation. Currently, existing surveys…

TIL: On Taiwan TV, the BBC series “Doctor Who” is translated as “⁠何博士”.
博士 is simply the word for doctor (the academic degree, not a medical practitioner). But 何 is both a Chinese surname (transcribed as Ho or Hé) and an interrogative pronoun for “what” or “how”. Clever translation.
BBC and Disney use 超時空奇俠 as the Chinese title which translates as "across-time-space strange hero" and Netflix uses ⁠神秘博士 "Mysterious Doctor". 🤷

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model
Xiaoli Wei, Chunxia Zhang, Baisong Jiang, Anxiang Di, Deng Xiong, Jiangshe Zhang, Mingming Gong
https://arxiv.org/abs/2506.07923

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model
Seismic data interpolation is a critical pre-processing step for improving seismic imaging quality and remains a focus of academic innovation. To address the computational inefficiencies caused by extensive iterative resampling in current plug-and-play diffusion interpolation methods, we propose the diffusion-enhanced sparse attention transformer (Diff-spaformer), a novel deep learning framework. Our model integrates transformer architectures and diffusion models via a Seismic Prior Extraction …

"Comparative review on Primo Research Assistant, Scopus AI, Web of Science Research Assistant and a explainer for AI search for librarians" by Aaron Tay: https://musingsaboutlibrarianship.blogspot.com/2025/05/comparative-review-…

The Curse of Dimensionality: De-identification Challenges in the Sharing of Highly Dimensional Datasets
https://fpf.org/blog/the-curse-of-dimensionality-de-identification-challenges-in-the-sharing-of-highl…

Towards a Small Language Model Lifecycle Framework
Parsa Miraghaei, Sergio Moreschini, Antti Kolehmainen, David H\"astbacka
https://arxiv.org/abs/2506.07695

Towards a Small Language Model Lifecycle Framework
Background: The growing demand for efficient and deployable language models has led to increased interest in Small Language Models (SLMs). However, existing research remains fragmented, lacking a unified lifecycle perspective. Objective: This study aims to define a comprehensive lifecycle framework for SLMs by synthesizing insights from academic literature and practitioner sources. Method: We conducted a comprehensive survey of 36 works, analyzing and categorizing lifecycle-relevant techniq…

This https://arxiv.org/abs/2506.05720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

A Survey of Earable Technology: Trends, Tools, and the Road Ahead
Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable resea…

junior academic: internet is down 😱
senior academic: internet is down 🥳
#academicChatter

When Brooke Nichols plugged in the data, she couldn’t comprehend what she was seeing.
The mathematician and professor of infectious diseases at Boston University had created a model to predict the human cost of the Department of Government Efficiency’s (Doge) USAid funding cuts.
As Elon Musk, the head of Doge, arrived at the White House on Friday afternoon
to be congratulated by President Trump for his work slashing the federal budget,
the number of deaths on Nichols’…

Doge cuts to USAid blamed for 300,000 deaths — most of them children
Elon Musk’s tenure running Trump’s Department of Government Efficiency has, according to the academic Brooke Nichols, caused thousands of ‘preventable deaths’

Academic Research Output Derivatives: Structuring Futures and Options on Research Output Index
Amarendra Sharma
https://arxiv.org/abs/2505.20492 https://…

Academic Research Output Derivatives: Structuring Futures and Options on Research Output Index
This paper explores an innovative financial concept--Academic Research Output Futures (AROFs)--which aim to bring the tools of market-based finance into the realm of academic research. At the heart of this idea lies a cash-settled futures contract tethered to a composite Research Output Index (ROI), a metric designed to quantify the research productivity of universities and research institutions. By allowing investors to take positions--speculative or hedging--on the projected trajectory of aca…

This https://arxiv.org/abs/2412.03824 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Towards Data Governance of Frontier AI Models
Data is essential to train and fine-tune today's frontier artificial intelligence (AI) models and to develop future ones. To date, academic, legal, and regulatory work has primarily addressed how data can directly harm consumers and creators, such as through privacy breaches, copyright infringements, and bias and discrimination. Our work, instead, focuses on the comparatively neglected question of how data can enable new governance capacities for frontier AI models. This approach for "frontier …

Why Academics Are Leaving Twitter for Bluesky
Dorian Quelle, Frederic Denker, Prashant Garg, Alexandre Bovet
https://arxiv.org/abs/2505.24801 https://

Why Academics Are Leaving Twitter for Bluesky
We analyse the migration of 300,000 academic users from Twitter/X to Bluesky between 2023 and early 2025, combining rich bibliometric data, longitudinal social-media activity, and a novel cross-platform identity-matching pipeline. We show that 18% of scholars in our sample transitioned, with transition rates varying sharply by discipline, political expression, and Twitter engagement but not by traditional academic metrics. Using time-varying Cox models and a matched-pairs design, we isolate gen…

I know an academic who does the same thing. He schedules a 3-4 hour online research meeting from time to time, but he really uses the slot to run a #TTRPG session for us.
His field of study isn’t TTRPGs. https://masto…

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
Alexandros Efstratiou
https://arxiv.org/abs/2506.04422 ht…

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
YouTube is among the most widely-used platforms worldwide, and has seen a lot of recent academic attention. Despite its popularity and the number of studies conducted on it, much less is understood about the way in which YouTube's Data API, and especially the Search endpoint, operates. In this paper, we analyze the API's behavior by running identical queries across a period of 12 weeks. Our findings suggest that the search endpoint returns highly inconsistent results between queries in ways tha…

Generative Knowledge Production Pipeline Driven by Academic Influencers
Katalin Feher, Marton Demeter
https://arxiv.org/abs/2505.24681 https://

Generative Knowledge Production Pipeline Driven by Academic Influencers
Generative AI transforms knowledge production, validation, and dissemination, raising academic integrity and credibility concerns. This study examines 53 academic influencer videos that reached 5.3 million viewers to identify an emerging, structured, implementation-ready pipeline balancing originality, ethical compliance, and human-AI collaboration despite the disruptive impacts. Findings highlight generative AI's potential to automate publication workflows and democratize participation in know…

If a starting date is mentioned in an academic job posting, and if the job involves teaching, which customarily follows a specific calendar, I’d have thought that it’s rather obvious that there are reasons for this particular starting date.
Of course, you can always ask, but it’s typically not possible to move the semester to accommodate you.
#AcademicChatter

ChatPD: An LLM-driven Paper-Dataset Networking System
Anjie Xu, Ruiqing Ding, Leye Wang
https://arxiv.org/abs/2505.22349 https://arxi…

ChatPD: An LLM-driven Paper-Dataset Networking System
Scientific research heavily depends on suitable datasets for method validation, but existing academic platforms with dataset management like PapersWithCode suffer from inefficiencies in their manual workflow. To overcome this bottleneck, we present a system, called ChatPD, that utilizes Large Language Models (LLMs) to automate dataset information extraction from academic papers and construct a structured paper-dataset network. Our system consists of three key modules: \textit{paper collection},…

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
Tam Ninh Thi-Thanh, Trinh Van Chien, Hung Tran, Nguyen Hoai Son, Van Nhan Vo
https://arxiv.org/abs/2506.02657

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
Metaverse and Digital Twin (DT) have attracted much academic and industrial attraction to approach the future digital world. This paper introduces the advantages of deep reinforcement learning (DRL) in assisting Metaverse system-based Digital Twin. In this system, we assume that it includes several Metaverse User devices collecting data from the real world to transfer it into the virtual world, a Metaverse Virtual Access Point (MVAP) undertaking the processing of data, and an edge computing ser…

Edge interventions can mitigate demographic and prestige disparities in the Computer Science coauthorship network
Kate Barnes, Mia Ellis-Einhorn, Carolina Ch\'avez-Ruelas, Nayera Hasan, Mohammad Fanous, Blair D. Sullivan, Sorelle Friedler, Aaron Clauset
https://arxiv.org/abs/2506.04435…

Edge interventions can mitigate demographic and prestige disparities in the Computer Science coauthorship network
Social factors such as demographic traits and institutional prestige structure the creation and dissemination of ideas in academic publishing. One place these effects can be observed is in how central or peripheral a researcher is in the coauthorship network. Here we investigate inequities in network centrality in a hand-collected data set of 5,670 U.S.-based faculty employed in Ph.D.-granting Computer Science departments and their DBLP coauthorship connections. We introduce algorithms for comb…

Government, brought to you by the people who paid people to take their tests in college....
"Nobody has ever accused RFK Jr. of academic rigor,” said Marion Nestle, a professor emerita of nutrition, food studies and public health at New York University. "The speed (of the MAHA report) suggests that it could not have been vetted carefully and must have been whisked through standard clearance procedures. The citation problem suggests a reliance on AI."

A Survey of Earable Technology: Trends, Tools, and the Road Ahead
Changshuo Hu, Qiang Yang, Yang Liu, Tobias R\"oddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma
https://arxiv.org/abs/2506.05720

A Survey of Earable Technology: Trends, Tools, and the Road Ahead
Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable resea…

This https://arxiv.org/abs/2503.18236 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Research impact evaluation based on effective authorship contribution sensitivity: h-leadership index
The evaluation of a researcher's performance has traditionally relied on various bibliometric measures, with the h-index being one of the most prominent. However, the h-index only accounts for the number of citations received in a publication and does not account for other factors such as the number of authors or their specific contributions in collaborative works. Therefore, the h-index has been placed on scrutiny as it has motivated academic integrity issues where non-contributing authors get…

The Impact and Influence of Academic Genealogies
Bryan Briones, Ronald E. Mickens, Charmayne Patterson
https://arxiv.org/abs/2505.11503 https://

The Impact and Influence of Academic Genealogies
We introduce the concept of an academic genealogy, or AG, and illustrate how AG charts may be constructed and then demonstrate how this methodology can be used by applying it to create the partial or full AG charts to two scientists, Paul A. Samuelson and Ronald E. Mickens.

Just read Plantin & Thomer's article, on the changes Figshare for Institutions introduces into the provision & organization of data-management labor in libraries. The authors worry that this commercial SaaS platform for institutional & data repositories, while fulfilling a number of library needs, will have detrimental effects. While it's a good piece of infrastructure-studies research, I question some of the analysis & conclusions.

The Turn to Practice in Design Ethics: Characteristics and Future Research Directions for HCI Research
Gizem \"Oz, Christian Dindler, Sharon Lindberg
https://arxiv.org/abs/2506.06055

The Turn to Practice in Design Ethics: Characteristics and Future Research Directions for HCI Research
As emerging technologies continue to shape society, there is a growing emphasis on the need to engage with design ethics as it unfolds in practice to better capture the complexities of ethical considerations embedded in day-to-day work. Positioned within the broader "turn to practice" in HCI, the review characterizes this body of work in terms of its motivations, conceptual frameworks, methodologies, and contributions across a range of design disciplines and academic databases. The findings rev…

Where's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
Zosia Krusberg
https://arxiv.org/abs/2506.00229 http…

Where's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
Generative AI tools like ChatGPT are rapidly reshaping how students and instructors engage with course material-and how they think about academic integrity. This paper presents a classroom activity designed to help physics students critically examine the ethical and educational implications of using AI in coursework. Through a structured sequence of case analysis, discussion, and optional policy drafting, students develop the metacognitive, ethical, and collaborative skills needed to navigate e…

«Scientific conferences are leaving the US amid border fears»
And this is just the beginning: Most big scientific conferences are not only already committed to 2025 venues but also 2026, given the long contract deadlines for such events. Academic societies are very reluctant to cancel existing contracts given how expensive doing so is.
Imho, 2027 will be the conference year to watch (if anything resembling a US academy is left by then).
https://archive.is/20250524023504/https://www.nature.com/articles/d41586-025-01636-5

Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment
Mohammad Saleh Torkestani, Taha Mansouri
https://arxiv.org/abs/2506.02046 https:…

Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment
This paper presents a theoretical framework for addressing the challenges posed by generative artificial intelligence (AI) in higher education assessment through a machine-versus-machine approach. Large language models like GPT-4, Claude, and Llama increasingly demonstrate the ability to produce sophisticated academic content, traditional assessment methods face an existential threat, with surveys indicating 74-92% of students experimenting with these tools for academic purposes. Current respon…

Well, maybe we’ll get swamped with excellent applications when we (hopefully) have an opening for a PhD position in fall…
But requiring French limits the candidate pool so much, I guess it won’t make any difference.
https://mastodon.social/@Sheril/114557615125630255…

This https://arxiv.org/abs/2503.09257 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

A Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents
In the rapidly evolving field of artificial intelligence (AI), mapping innovation patterns and understanding effective technology transfer from research to applications are essential for economic growth. However, existing data infrastructures suffer from fragmentation, incomplete coverage, and insufficient evaluative capacity. Here, we present DeepInnovationAI, a comprehensive global dataset containing three structured files. DeepPatentAI.csv: Contains 2,356,204 patent records with 8 field-spec…

Multi-Waveguide Pinching Antennas for ISAC
Weihao Mao, Yang Lu, Yanqing Xu, Bo Ai, Octavia A. Dobre, Dusit Niyato
https://arxiv.org/abs/2505.24307 https://…

Multi-Waveguide Pinching Antennas for ISAC
Recently, a novel flexible-antenna technology, called pinching antennas, has attracted growing academic interest. By inserting discrete dielectric materials, pinching antennas can be activated at arbitrary points along waveguides, allowing for flexible customization of large-scale path loss. This paper investigates a multi-waveguide pinching-antenna integrated sensing and communications (ISAC) system, where transmit pinching antennas (TPAs) and receive pinching antennas (RPAs) coordinate to sim…

«Scientific conferences are leaving the US amid border fears»
And this is just the beginning: Most big scientific conferences are not only already committed to 2025 venues but also 2026, given the long contract deadlines for such events. Academic societies are very reluctant to cancel existing contracts given how expensive doing so is.
Imho, 2027 will be the conference year to watch (if anything resembling a US academy is left by then).
https://archive.is/20250524023504/https://www.nature.com/articles/d41586-025-01636-5

Welfare Reform: Consequences for the Children
Marianne Simonsen, Lars Skipper, Jeffrey A. Smith
https://arxiv.org/abs/2506.03927 https://

Welfare Reform: Consequences for the Children
This paper uses register-based data to analyze the consequences of a recent major Danish welfare reform for children's academic performance and well-being. In addition to work requirements, the reform brought about considerable reductions in welfare transfers. We implement a comparative event study that contrasts outcomes for individuals on welfare at the time of reform announcement before and after the implementation of the reform with the parallel development in outcomes for an uncontaminated…

Dear @…
Your website links only Twitter and Facebook below each news item. Isn't that a bit outdated?
And where do these networks stand with respect to academic freedom?
Why not git rid of those and put a shiny new Mastodon button?
https://euromathsoc.org/news/european-mathematical-society-statement-on-academic-freedom-169

Supervised Link Prediction in Co-Authorship Networks Based on Author Node-Based Features
Doaa Hassan, Mohammad Al Hasan
https://arxiv.org/abs/2505.21673 ht…

Supervised Link Prediction in Co-Authorship Networks Based on Author Node-Based Features
Predicting the emergence of future research collaborations between authors in academic social networks (SNs) is a very effective example that demonstrates the link prediction problem. This problem refers to predicting the potential existence or absence of a link between a pair of nodes (authors) on the co-authorship network. Various similarity and aggregation metrics were proposed in the literature for predicting the potential link between two authors on such networks. However, the relevant res…

Misalignment or misuse? The AGI alignment tradeoff
Max Hellrigel-Holderbaum, Leonard Dung
https://arxiv.org/abs/2506.03755 https://ar…

Misalignment or misuse? The AGI alignment tradeoff
Creating systems that are aligned with our goals is seen as a leading approach to create safe and beneficial AI in both leading AI companies and the academic field of AI safety. We defend the view that misaligned AGI - future, generally intelligent (robotic) AI agents - poses catastrophic risks. At the same time, we support the view that aligned AGI creates a substantial risk of catastrophic misuse by humans. While both risks are severe and stand in tension with one another, we show that - in p…

Distinguishing True Influence from Hyperprolificity with Citation Distance
Lu Li, Yun Wan, Feng Xiao
https://arxiv.org/abs/2506.03527 https://

Distinguishing True Influence from Hyperprolificity with Citation Distance
Accurately evaluating scholarly influence is essential for fair academic assessment, yet traditional bibliometric indicators - dominated by publication and citation counts - often favor hyperprolific authors over those with deeper, long-term impact. We propose the x-index, a novel citation-based metric that conceptualizes citation as a process of knowledge diffusion and incorporates citation distance to reflect the structural reach of scholarly work. By weighting citations according to the coll…

A great piece of analysis with lots of suggestions for what to do in response to the Trump administration's efforts to destroy U.S. research infrastructure. I appreciate the inclusion of the work to #DefendResearch against #censorship.

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Johannes Brahms, Budapest Festival Orchestra & Ivšn Fischer:
🎵 Academic Festival Overture Op.80
#JohannesBrahms #BudapestFestivalOrchestra #IvánFischer

Comment on "Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge"
John M. Herbert
https://arxiv.org/abs/2505.18196

Comment on "Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge"
In a commentary published in mid-2024 (to which the present work is a direct response), a number of scientists argue that U.S. funding agencies have "politicized" the process by which grants are awarded, in service of diversifying the scientific workforce. The commentary in question, however, makes numerous unfounded assertions while recycling citations to a fusillade of opinion essays written by the same cabal of authors, in an effort to resemble a work of serious scholarship. Basic fact-check…

This https://arxiv.org/abs/2505.02198 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Student Perspectives on the Benefits and Risks of AI in Education
The use of chatbots equipped with artificial intelligence (AI) in educational settings has increased in recent years, showing potential to support teaching and learning. However, the adoption of these technologies has raised concerns about their impact on academic integrity, students' ability to problem-solve independently, and potential underlying biases. To better understand students' perspectives and experiences with these tools, a survey was conducted at a large public university in the Uni…

Comparing Retrieval Strategies to Capture Interdisciplinary Scientific Research: A Bibliometric Evaluation of the Integration of Neuroscience and Computer Science
Malena Mendez Isla, Agustin Mauro, Diego Kozlowski
https://arxiv.org/abs/2506.03187

Comparing Retrieval Strategies to Capture Interdisciplinary Scientific Research: A Bibliometric Evaluation of the Integration of Neuroscience and Computer Science
Interdisciplinary scientific research is increasingly important in knowledge production, funding policies, and academic discussions on scholarly communication. While many studies focus on interdisciplinary corpora defined a priori - usually through keyword-based searches within assumed interdisciplinary domains - few explore interdisciplinarity as an emergent intersection between two distinct fields. Thus, methodological proposals for building databases at the intersection of two fields of know…

This https://arxiv.org/abs/2407.02381 has been replaced.
link: https://scholar.google.com/scholar?q=a

What Should Be Considered to Support well-being with AI: Considerations Based on Responsible Research and Innovation
To achieve people's well-being with AI systems, we should enable each user to be guided to a healthier lifestyle in a way that is appropriate for her or him. However, there is a dilemma between general well-being as defined in academic and medical discussions and the autonomy users should have when deciding how to promote their well-being. In this position paper, we discuss the difficulty for AI application developers to fully consider in the design phase what might happen to the user, taking a…

Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment
Canh Thien Dang, An Nguyen
https://arxiv.org/abs/2506.00050

Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment
As artificial intelligence (AI) becomes integral to the society, the ability to critically evaluate AI-generated content is increasingly vital. On the context of management education, we examine how academic skills, cognitive traits, and AI scepticism influence students' ability to detect factually incorrect AI-generated responses (hallucinations) in a high-stakes assessment at a UK business school (n=211, Year 2 economics and management students). We find that only 20% successfully identified …

This https://arxiv.org/abs/2404.05836 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Hiden Topics in Robotic Process Automation -- an Approach based on AI
Robotic Process Automation (RPA) has rapidly evolved into a widely recognized and influential software technology. Its growing relevance has sparked diverse research efforts across various disciplines. This study aims to map the scientific landscape of RPA by identifying key thematic areas, tracking their development over time, and assessing their academic impact. To achieve this, we apply an unsupervised machine learning technique Latent Dirichlet Allocation (LDA) to analyze the abstracts of o…

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Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations
Daniele Barolo, Chiara Valentin, Fariba Karimi, Luis Gal\'arraga, Gonzalo G. M\'endez, Lisette Esp\'in-Noboa
https://arxiv.org/abs/2506.00074

Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations
This paper evaluates the performance of six open-weight LLMs (llama3-8b, llama3.1-8b, gemma2-9b, mixtral-8x7b, llama3-70b, llama3.1-70b) in recommending experts in physics across five tasks: top-k experts by field, influential scientists by discipline, epoch, seniority, and scholar counterparts. The evaluation examines consistency, factuality, and biases related to gender, ethnicity, academic popularity, and scholar similarity. Using ground-truth data from the American Physical Society and Open…

This https://arxiv.org/abs/2410.09510 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

SciEvo: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis
Understanding the creation, evolution, and dissemination of scientific knowledge is crucial for bridging diverse subject areas and addressing complex global challenges such as pandemics, climate change, and ethical AI. Scientometrics, the quantitative and qualitative study of scientific literature, provides valuable insights into these processes. We introduce SciEvo, a longitudinal scientometric dataset with over two million academic publications, providing comprehensive contents information an…

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This https://arxiv.org/abs/2505.20103 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
Citations are crucial in scientific research articles as they highlight the connection between the current study and prior work. However, this process is often time-consuming for researchers. In this study, we propose the SciRGC framework, which aims to automatically recommend citation articles and generate citation sentences for citation locations within articles. The framework addresses two key challenges in academic citation generation: 1) how to accurately identify the author's citation int…

SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
Xiangyu Li, Jingqiang Chen
https://arxiv.org/abs/2505.20103 ht…

SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
Citations are crucial in scientific research articles as they highlight the connection between the current study and prior work. However, this process is often time-consuming for researchers. In this study, we propose the SciRGC framework, which aims to automatically recommend citation articles and generate citation sentences for citation locations within articles. The framework addresses two key challenges in academic citation generation: 1) how to accurately identify the author's citation int…

Towards Industrial Convergence : Understanding the evolution of scientific norms and practices in the field of AI
Antoine Houssard
https://arxiv.org/abs/2505.17945

Towards Industrial Convergence : Understanding the evolution of scientific norms and practices in the field of AI
In the field of artificial intelligence (AI) research, there seems to be a rapprochement between academics and industrial forces. The aim of this study is to assess whether and to what extent industrial domination in the field as well as the ever more frequent switch between academia and industry resulted in the adoption of industrial norms and practices by academics. Using bibliometric information and data on scientific code, we aimed to understand academic and industrial researchers' practice…