Marshall Van Alstyne

"Wiley, a 217-year-old publisher based in Hoboken, N.J., ... Tuesday will announce that it is closing 19 journals, some of which were infected by large-scale research fraud" according to an exclusive report by The Wall Street Journal. For years, some of us have been discussing systemic issues plaguing the "scientific" literature, usually to be ignored, even belittled, by publishers, editors, and peers. Well, here we are then: "In the past two years, Wiley has retracted more than 11,300 papers that appeared compromised, according to a spokesperson, and closed four journals." Maybe this detailed reporting from a major news source will attract more attention from people outside narrow technical fields. The stakes couldn't be higher. I've lost track of all the wild articles shared on LinkedIn about doing fake science with, for example, ChatGPT. Career columns have encouraged early career researchers to engage in scientific misconduct and have a chatbot write their grant or paper (I'm not exaggerating: https://lnkd.in/gZEbGyfx). Rest assured, such scientific dishonesty will catch up to those "scientists." But, for now, the battle is hardly won, as the Journal reports: "While publishers are fighting back with technology, paper mills are using the same kind of tools to stay ahead. “Generative AI has just handed them a winning lottery ticket,” Eggleton of IOP Publishing said. “They can do it really cheap, at scale, and the detection methods are not where we need them to be. I can only see that challenge increasing.”" https://lnkd.in/guyyafBX

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Professor Eugene Santos co-authored "Bayesian-knowledge driven ontologies: A framework for fusion of semantic knowledge under uncertainty and incompleteness" published in PLOS ONE. The paper describes how to fuse multiple conflicting ontologies into a single knowledge base. "Biomedicine's rapid advancement is inundating us with new words, labels, and concepts that can be duplicative or even contradictory," says Santos. "Ontologies are necessary to meaningfully link the terms and concepts together. Our framework allows for fragments of any number of ontologies to be combined to create a new ontology that suits the desired domain, regardless of contradictions." Read more: https://lnkd.in/e4bef4jc

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Human Intuition and Algorithmic Efficiency Must Be Balanced to Imporve Data Governance. Our new paper in one of the top Computer Science Journals provides framework for #riskgovernance in advanced #AI-enabled data systems. In the pursuit of #efficiency and #resilience in data governance, targeted human judgment is not just a valuable component, but an essential one. An effective data governance framework can enhance system #security and resilience (preventing, avoiding, and mitigating misuse), aswell as recovery capacity. Automated decision models can handle much of the former, providing efficiency and robustness. However, human judgment remains necessary to address errors from AI managing large data systems. with Benjamin Trump, Alexander Kott, Kelsey Stoddard, Moshe Vardi, Christopher L. Cummings, Madison Smith, Ph.D., Andrew Strelzoff, Stephanie Galaitsi, Jeff Keisler, Nathaniel D. Bastian https://lnkd.in/eP9aKsGC

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RELEASED TODAY! My book, Mixed Methods for Psychological Methods, is finally out! It presents theory and methods on how we can bring qualitative perspectives directly into measurement with applications for #CritQuant and #SituatedAssessment. https://lnkd.in/gW-TsHJQ

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An interesting read- especially considering the current fervor. https://lnkd.in/eaQ5dcMy

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The Pontifical Academy of Sciences engaged #ai last week. OpenAI, the creator of ChatGPT, defines #AGI as "highly autonomous systems that outperform humans at most economically valuable work." Philip Larrey cited a Goldman Sachs report: in the long-term artificial intelligence could replace the equivalent of 300 million full-time jobs. Good business sense, BUT how can we engage perspectives that range "beyond the motives of commerce"? Humanity 2.0 & others offer #humanflourishing as an operative notion...great article on a timely topic. #motivation #ethics #beyondbottomline #triplebottomline ?

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Our sister paper on trust in technology is now published in the Journal of Information Technology (JIT)! Sebastian Walter S., Le （Carol） Kuai, Zach Steelman, and I performed a systematic qualitative review of the IS literature. This first paper examined the assumptions about trust in technology and summarized how IS scholars measure/assess trust in technology. See: https://lnkd.in/gjMN9jPy This sister paper reviews the antecedents and consequences of trust in technology. We curated a glossary of unique construct terms and summarized the results of 241 relationships tested in empirical research articles (both quantitative and qualitative) from the AIS “Basket of Eight” journals. From these, we identified 62 unique relationships: 22 are well-supported, 6 are supported by suggestive evidence, and 34 have received little support. These relationships summarize what is well-known and less well-known within the literature. We prepare a path for future research on the phenomenon of trust in the context of emerging technologies like artificial intelligence and blockchain. We thank Matthias Söllner, who served as SE, and the three anonymous reviewers for their developmental feedback. #trust #technology #beEPIC University of Arkansas ­- Sam M. Walton College of Business https://lnkd.in/gd23q9UX

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A new article for the Mathematical Association of America Math Values blog. What can we count on in data analytics? Change! Read about dealing with this constant in the field at: https://lnkd.in/eAzW3UT6

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My commentary on D. Donoho "Datascience at singularity" is out: "Collective Intelligence and Collaborative Data Science" https://lnkd.in/eS6k2Yfv Mostly about #benchopt, #plantnet and #Computo Thx Alexandre Gramfort Thomas Moreau Mathurin Massias & Alexis Joly for sharing thoughts on this topic.

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Very good interview of Alex 'Sandy' Pentland who's joining Stanford Institute for Human-Centered Artificial Intelligence (HAI)'s Digital Economy Lab; these 5 arguments especially resonated with me: 1) "We also need to reduce partisan animosity online. Currently, digital media are designed to get us to react quickly, which results in unthinking responses that in turn lead to cascades of behavior where everyone becomes outraged. We need a system that instead encourages people to communicate in ways that support democratic processes rather than tearing them apart. Large-scale experiments find that online discussions are improved when people are encouraged to reflect a little bit on what they are about to say. For example, we see less division and outrage online when we add an extra step that allows time for reflection before replying or forwarding, or add a prompt to consider what a comment will do to your reputation." 2) "we need to draw a line between individual expression and mass expression. For example, consider the case where influencers often have more than a million “friends” on social media. Anyone with that many people following them can make money and build a reputation while saying whatever they want. And I think these overly powerful voices ought to be treated like businesses and not like individuals. They shouldn’t be able to cry “fire” in a crowded theater or tell outright lies. Those are basic standards we demand of other businesses [like] TV news shows or newspapers can’t publish something just to generate outrage. (...) If you’re going to express your ideas to a million people, then you’re a business and you ought to be regulated like a business." 3) "In some cases, fixing the problem will require changing often subtle little things down in the guts of the internet. As an example, if someone is producing 50,000 tweets a day, that’s a bot, not a human. That’s an obvious case, but there are other things we can do to find bots more efficiently, determine when foreign nations are interfering in elections, and better deal with ransomware and cyberattacks. The problems we have now evolved because the architecture of the internet was never completed. And now maybe the time has finally come to finish the job." 4) "it’s not artificial general intelligence, or AGI, that worries me. It’s that AI is becoming pervasive in so many parts of our lives, including our medical system, our transportation system, and our schooling system. It’s going to be everywhere, just like the previous waves of AI were. And we need to make sure that it’s prosocial." 5) "AI has always been and continues to be a way of finding and using patterns in data. So, if you want to control AI, you have to control the data it feeds on by demanding privacy rights and ownership rights over data. Without that, AI will just run amok. Data are like the food for AI, and if you want to control AI, you have to control the data."

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📚 Exciting News! 📚 The highly anticipated 5th edition of Complex and Adaptive Dynamical Systems by Claudius Gros has just been released! 🔗 https://lnkd.in/d9bBidYG This comprehensive textbook offers an in-depth introduction to the core concepts of complex and emergent behavior, making it an essential resource for graduate and advanced undergraduate students. What’s new in this edition? ⭐ Fully revised content ⭐ A new chapter on the dynamical systems view of modern machine learning ⭐ Additional sections, figures, and exercises ⭐ Reorganized Solution chapter for enhanced clarity Explore foundational topics such as network- and dynamical system theory, deterministic chaos, bifurcation theory, and modern information theory. Delve into advanced subjects like self-organized criticality, synchronization phenomena, and game-theoretical analysis. With step-by-step derivations and comprehensive explanations, this textbook equips you with the mathematical tools needed to navigate the complexities of modern system sciences.

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CMU Researchers Propose a Distributed Data Scoping Method: Revealing the Incompatibility between the Deep Learning Architecture and the Generic Transport PDEs Researchers from Carnegie Mellon University present a data scoping technique to augment the generalizability of data-driven models forecasting time-dependent physics properties in generic transport issues by disentangling the expressiveness and local dependency of the neural operator. They solve this problem by suggesting a distributed data scoping approach with linear time complexity, strictly constraining information scope to predict local properties. Numerical experiments across various physics domains demonstrate that their data scoping technique significantly hastens training convergence and enhances the benchmark models’ generalizability in extensive engineering simulations. They outline a generic transport system’s domain in d-dimensional space. Introducing a nonlinear operator evolving the system, aiming to approximate it via a neural operator trained using observations from a probability measure. The discretization of functions allows for mesh-independent neural operators in practical computations. The physical information in a generic transport system travels at a limited speed, and they defined the local-dependent operator for the generic transport system. They also clarify how the deep learning structure of neural operators dilutes local dependency. A neural operator comprises layers of linear operators followed by non-linear activations. As layers increase to capture nonlinearity, the local-dependency region expands, potentially conflicting with time-dependent PDEs’ local nature. Instead of limiting the scope of the linear operator to one layer, they directly limit the scope of input data. The data scoping method decomposes the data so that each operator only works on the segmentation. Quick read: https://lnkd.in/g3ERrWzq Paper: https://lnkd.in/g9GeqBDA Machine Learning Department at CMU #ai

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Here's a panel discussion that aired last week on #cgtn hosted by Xu Qinduo along with Einar Tangen, senior fellow with the Taihe Institute and Peter Kuznick, professor of history at the American University in Washington. "On May 1, the U.S. House of Representatives passed the Antisemitism Awareness Act aimed at addressing reports of so-called “rising antisemitism on college campuses,” where pro-Palestinian students have been calling for a permanent cease-fire in Gaza and an end to US military assistance for Israel. The bill is yet to be taken up by the U.S. Senate. But opinions have already been quite divided. Supporters of the legislation say it will help combat antisemitism on college campuses, but opponents say it overreaches and threatens to chill free speech. What was behind the birth of the bill? Is it in accordance with the spirit of the American Constitution? And will free speech be significantly restricted if the bill goes into effect?" Some talking points: Republicans have long been complaining about universities being controlled by Democrats and progressives and so-called "woke" culture, limiting free speech and expression. So it's telling when Republicans and Democrats team up at the federal level to create a law that would make it illegal essentially to criticize #zionism, spurred by university students protesting against the ongoing Israeli massacres of #palestinians. The bipartisan voting for the bill was 320 for, 91 against. It's especially ironic because such legal restrictions don't exist even in #israel. But it's not that surprising because Republicans have not been friends of free speech when it crosses them ideologically: for example, they attacked Black Lives Matter and supported efforts to make it illegal to teach critical race theory in public schools. Despite passing the House of Representatives, the bill is unlikely to succeed in the Senate. The version in committee has already had some House provision stripped out and there remains firm but quiet opposition to the measure moving forward, including one Jewish senator who said he's "a first amendment guy," referring the to the first amendment of the US Constitution guaranteeing the right to free speech, which he worries the bill violates. Senate Majority Leader Chuck Schumer supports the bill publicly, and we might eventually see a greatly watered down version passing and perhaps being reconciled with the House version and signed by Biden, but that's probably unlikely and would face a stiff challenge in the Supreme Court insomuch as the Republican jurists dominating the Court are strongly influenced by literal interpretations of the Constitution. Consequently, many see this as political pandering and opportunism, although the House Speaker is absolutely pro-Zionist and for religious reasons appears committed to protecting Israel more than the US Constitution.

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Here is a new paper forthcoming in the Journal of Mathematical Economics: https://lnkd.in/gkX3Gf5K The paper presents conditions for approximating a large finite voting model by a continuum model where voters have single-plateaued preferences (Fishburn, 1973). We use the solution concept of Condorcet winning set for the analysis. It contributes to the expanding literature on using continuum models as approximations to large but finite economies (general equilibrium and Walrasian exchange economies (e.g. Mas-Colell, 1985, Hildenbrand, 1974, and Emmons and Yannelis (1985)); assignment economies (e.g. Che and Kojima (2010), and Miralles and Pycia (2015)). #economics #gametheory #mathematicaleconomics Mihir Bhattacharya Ruhi Sonal Raghul S Venkatesh

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From Digital Divide to Digital Equity and Inclusion (Minitrack at HICSS-58 https://lnkd.in/gKnh67Xf) Paper submission deadline: June 15, 2024 Minitrack Co-Chairs: Israr Qureshi, Carmen Leong, Arlene Bailey, K. D. Joshi, We encourage submissions that address, but are not limited to, the following topics: *Access to ICT: infrastructure, affordability, and availability *ICT adoption and use: barriers, opportunities, and challenges *Digital skills and literacy: training and education for vulnerable populations *Digital inclusion policies and strategies: best practices and lessons learned *Social and cultural factors: attitudes and perceptions towards ICT *Gender, race, caste, and ethnicity: intersectionality and the digital divide *ICT and health: the role of digital technologies in promoting health equity *ICT and education: the impact of the digital divide on learning outcomes *ICT and political participation: digital democracy and political engagement *ICT and economic development: the role of digital technologies in reducing poverty and inequality *ICT and social entrepreneurship: Role of microentrepreneurs and social entrepreneurs *Digital social innovation and digital social intermediation: the role of social intermediaries in leveraging ICTs to addressing SDGs *Unintended consequences as a result of ICT use or efforts to bridge the digital divide

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Get #openaccess article at https://lnkd.in/g5muBXFf How to Test and Report #Interaction/#Moderating Effects Here are five key takeaways from our Journal of Management article on reporting interaction effects, which are particularly relevant for #social #science researchers:   1️⃣ Inconsistencies and Gaps in Reporting: Many studies fail to fully describe #interaction #effects, making it difficult to grasp their nature and significance. This inconsistency and lack of detailed reporting can mislead readers about the strength and importance of these effects. 2️⃣ Visualizations Misrepresent Effect Size: Overusing #truncated visual #scales in graphical representations can exaggerate the perceived impact of interaction effects. This practice might lead to undue emphasis on minor findings, steering research and practice in potentially unproductive directions. 3️⃣ Lack of Effect Size Estimates: A significant number of articles do not report a quantifiable measure of interaction effect size, like delta R, which is crucial for assessing the actual impact of the interactions beyond p-values and regression coefficients. 4️⃣ Recommendations for Improvement: We suggest employing full-range visualizations to avoid distortion of effect sizes and recommend including clear, interpretable effect size measures and detailed interpretations of the nature of interaction effects to enhance understanding and application. 5️⃣ Enhancing Theoretical and Practical Relevance: By providing comprehensive details about the strength, nature, and implications of interaction effects, researchers can make their findings more actionable for theory development and practical application, aiding decision-makers in more accurately aligning strategies with evidence-based insights.   These insights can help enhance the research's credibility, rigor, and impact in #management and many other social sciences. Academy of International Business (AIB) Academy of International Business UK & Ireland Chapter Academy of International Business (AIB) Teaching & Education SIG HR Division - Academy of Management Administrative Sciences Association of Canada Africa Academy of Management ANPAD ACEDE (Spanish Academy of Management) British Academy of Management Eastern Academy of Management EUROPEAN ACADEMY OF MANAGEMENT EGOS (European Group for Organizational Studies) @GWSB_alumni Iberoamerican Academy of Management International Council for Small Business (ICSB) Indian Academy of Management - INDAM International Association for Chinese Management Research Management Faculty of Color Association (MFCA) MIDWEST ACADEMY OF MANAGEMENT INC Società Italiana di Management The George Washington University Center for Real Estate and Urban Analysis - The George Washington University School of Business The PhD Project The Strategic Management Society Western Academy of Management (Official Site) Yönetim Akademisi Derneği - Turkish Academy of Management

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An excellent opportunity for anyone working on AI/GenAI. "Generative AI: Transforming Human, Business, and Organizational Decision Making Guest Editors: Dr. Dongsong Zhang, University of North Carolina at Charlotte, USA. dzhang15@charlotte.edu Dr. Pallab Sanyal, Costello College of Business, George Mason University, USA. psanyal@gmu.edu Dr. Fiona Fui-Hoon Nah, City University of Hong Kong, Hong Kong SAR. fiona.nah@cityu.edu.hk Dr. Raghava Mukkamala, Copenhagen Business School, Denmark. raghava.mukkamala@cbs.dk Themes of the Special Issue This special issue aims to curate and present state-of-the-art theoretical, technical, behavioral, and organizational research on GenAI in support of decision making and problem solving. We welcome original research that focuses on a variety of topics and themes, including, but not limited to: Automatic detection of content produced by GenAI technologies Techniques and tools to differentiate human- vs. GenAI-generated content The impact of GenAI on decision support process and outcomes Human-GenAI co-creation Human-GenAI collaboration and interaction Quality and speed of decision making facilitated by GenAI models Impact of GenAI applications in organizations and society Best practices in prompt engineering Dark sides of GenAI Responsible, trustworthy, and ethical GenAI Regulation and data protection associated with GenAI Prompt-injection attacks and security of GenAI models Manuscript submission information: Important Due Dates: Submission start date: May 1, 2024 Submission deadline: November 30, 2024 Submission Formatting: All the submissions must follow the general author guidelines of Decision Support Systems available here. Please submit your paper to the Special Issue category (VSI: Generative AI) through the online submission system of Decision Support Systems. Each paper submitted to the SI would undergo 2 or 3 rounds of double-blind peer review by 2-3 reviewers." Full Link: https://lnkd.in/gYtSjugs

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Great to see my paper with Seth Spielman feature in the latest issue of Research Focus. Lots more to come on the application of LLM and AI to geodemographics!

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