Bianca Trinkenreich, Ph.D.

TALK #TODAY: “Effects Across Time to Modeling States of a System: A Dynamical Systems Perspective on Modeling Social Science Data”, with Dr. Deboeck!​ ​ #UConn #Online #Research #Methods #Measurement #Evaluation​ #uconnrmme​ https://lnkd.in/e39FAKab​ ​ UConn Neag School of Education #StatisticalModels #StatisticalModeling #StatisticalAnalysis #Statisticians #Statistics #Stats #Data #Friday

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A great new resource on #AI governance - this time for #US policy. Thanks to the Emerging Technology Observatory for collecting and making this data available. And thanks to Anne Clawson for sharing! https://agora.eto.tech/?

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#AI is a tool. How will we use it for #education? On his visit to Indiana University School of Public Health-Bloomington, distinguished educator Marcio A. Oliveira, Ph D. described emerging uses (and misues) of AI in education.

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Heading to UPCEA 2025? Join our Roundtable Discussion on Data Science and Ethics at the University of Chicago! The MS-Applied Data Science team from @UChicago is hosting an engaging roundtable on emerging #DataScienceEthics and educational best practices.  🔍 Key Topics: - Beyond fears of Generative AI - Long-term impact of AI in higher education - Positive & negative social impacts With cutting-edge curriculum and both in-person and online tracks, we prioritize an educational approach to data science, fostering dialogue on these critical issues. Roundtable Highlights: - Participate in thought-provoking discussions - Explore new perspectives on data science practices - Embrace sustainable and ethical data science   We look forward to collaborating with fellow educators and practitioners! #DataScience #EthicsInAI #HigherEducation #Sustainability #UChicago Learn more about the MS-ADS Program and the DSI:  https://lnkd.in/g38tpz26

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This fellowship is such a great opportunity for early career data scientists to learn about and be involved in data science at NIAID! I had the pleasure of mentoring many of the fellows while I was there and I can’t speak highly enough of the program. Check it out and let me know if you have questions! #datascience #fellowship

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Here is a link to a new paper by Larry Suter and me illustrating how cluster analysis can be used to study the semantic structure of mathematics standards and item specifications. We also explore what it means to measure measurement. https://lnkd.in/evG5JWDM

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Anyone working with Data Science Education in K12 or related research & practice is encouraged to submit a proposal for the upcoming #DSEK12 conference (Feb 2025). Join the conversation and help inform where the emerging field of #DataScienceEducation goes next! There is a wide range of session types. Take a look at the Call for Proposals. #datascience #dataliteracy #DSE4everyone #DSE4all #CFP

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Upcoming Webinar: "Culturally Relevant Data in Teaching Statistics and Data Science Courses" Tuesday, May 21, 2024 4:00 - 4:30 pm ET Presented by: Travis Weiland (University of Houston) and Immanuel Williams (California Polytechnic State University, San Luis Obispo) Abstract: In this May edition of the Journal of Statistics and Data Science Education / Consortium for the Advancement of Undergraduate Statistics Education (JSDSE/CAUSE) webinar series, we highlight the 2023 article: Culturally Relevant Data in Teaching Statistics and Data Science Courses. The authors will discuss how to make data more meaningful to students through the choice of data and the activities they use to draw upon students' lived experiences. In translating scholarship around culturally relevant pedagogy from the fields of education and mathematics education they develop the idea of culturally relevant data, which they use to implement culturally relevant pedagogy in teaching data-intensive courses, leveraging the centrality of context through data in both statistics and data science to engage students particularly from historically marginalized groups in STEM. They provide suggestions as to ways of finding or creating culturally relevant data and using them, and they also present findings from pilot work on implementing these data in statistics courses. Article Link: https://lnkd.in/eYNx_Wru The webinar is free but pre-registration is required. Please sign up at: https://lnkd.in/etKvQa5c #statstwitter #epitwitter #datascience #statistics #education #teaching

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🌍 New WorldPop publication led by Ortis Yankey, Ph.D examines an alternative approach to disaggregating population count data at administrative unit level to high resolution gridded maps: https://lnkd.in/e2yPBxRV The paper tests a Bayesian Additive Regression Tree (BART) model and compares it against the Random Forest model typically used by WorldPop to disaggregate areal unit-based population counts. In a test using Ghana 2021 census data, the BART model showed superior performance, and has the additional benefit of providing uncertainty estimates around the 100x100m gridded disaggregated population predictions.

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Check out the Convergence Curriculum for #Geospatial #DataScience developed by the NSF I-GUIDE community and join the I-GUIDE Forum (https://lnkd.in/gbeKPgsh) next week to learn more!

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Day 4 of #LASER Institute 2024 The William and Ida Friday Institute for Educational Innovation begins today! What a great cohort of engaged new colleagues. Having fun working through case studies and "code-along" learning activities to better understand predictive, supervised #machine_learning (+ #text_mining + #social_network_analysis + #knowledge_tracing) as tools in #educational_research and #educational_assessment - and for the training in #R to apply my new #learning_analytics chops. Thanks to Josh Rosenberg, Shaun Kellogg, Jeanne McClure, PhD, Shiyang Jiang, and Ryan Baker for guiding us along.

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New in the AFP: The Category of Sets An axiomatization of category SET on top of HOL, following the presentation given by Halvorson, including Cantor's diagonalization theorem and mathematical induction. https://lnkd.in/g6WTQ-MX

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This paper by Jader Brasil, Ph.D., Josué Knorst, and Artur O. Lopes discusses continuous time quantum semigroups, quantum Markov semigroups and the concept of entropy for density matrices on Mn(C). It also explores the variational principle of pressure for a #Hamiltonian and the continuous time equilibrium quantum Markov process for the Hamiltonian A, which corresponds to the #quantumthermodynamical #equilibrium. #Lindbladian #entropy #pressure Read more here: https://lnkd.in/e_7TriZu

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An article I published with my coauthors Mariana Andrade, Terence Saldanha, Abhishek Kathuria, Jiban Khuntia, in Information Systems Research - An Informs Journal. The article examines IT investments by SMEs in emerging markets, and sheds light on how open vs closed innovation strategies complement IT investment strategies to overcome various deficiencies faced by SMEs in emerging markets. Thanks to my co-authors for their excellent jobs in this paper.

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Fascinating paper for the Academy and funding sources to consider https://lnkd.in/egwsrQn4

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National Science Foundation Award in Life Saving Language Technologies Several weeks ago, my colleagues Antonios Anastasopoulos (George Mason University), Fei Xia (University of Washington) and I received notification that our NSF grant *Facilitating Language Technologies for Crisis Preparedness and Response* was awarded and fully funded by the National Science Foundation, to the tune of nearly $2M. I had been meaning to post for a while, but we wanted to be sure we were in touch with all our potential partners and collaborators before announcing. Although the proposal had been in the works for a couple of years now, it’s something that had been stewing for a number of years before that. It marks yet another milestone in our work in the crisis response space, i.e., disaster response, such as natural catastrophes, wars (and their effects), humanitarian emergencies, etc. Our focus is, and continues to be, on how we can bring language technologies to bear in crises, with the focus being on saving and improving people’s lives. My interest in crisis response started during Haitian earthquake of 2010. It’s really where I cut my teeth in this space. In Haiti, language technologies were responsible for saving thousands of lives. (I was central to the delivery of a Haitian Kreyòl machine translation that year.) My work continued in a variety of projects in the crisis response space over the next decade-and-a-half, including one focused on the Syrian refugee crisis (Levantine Arabic Speech translation) and another focused on the pandemic (called the Translation Initiative for Covid-19, TICO-19, led by Antonis, with many others in the machine translation field). Our focus in this award will be to develop the infrastructure—both data and tools—to spur continued interest by language technology experts in the crisis response space. In particular, we will concentrate our efforts on languages, dialects and communities that are currently under-served by existing language technologies, and likewise those that may be affected by future crises. We know that there will continue to be crises that will affect thousands or millions of people. We know that language technologies can save lives. This grant will continue to fund our field’s work in these life-saving technologies. NSF Award #s: 2346334 & 2346335

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Attended a fantastic Division of Data Science seminar here at The University of Texas at Arlington with our distinguished speaker, Dr. Zhezhen Jin (Kim) of Columbia University on "Issues and Challenges in the Analysis of Biomedical Data." I really liked his "Statistical Principles" of: The Sufficiency Principle The Likelihood Principle The Least Squares Principle of which I would add the "Avoidance of Systematic Error Principle" (or "Accuracy Principle" which was implied in Dr. Jin's later discussion of "Missingness" in data. Xinlei Wang Shan Sun Mitchell Keaton Hamm Masoud Rostami, PhD Qiang Zheng Mei Yang #biostatistics #innovation #biomedicaldata #bioinformatics #uta

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Interesting report on GenAI adoption in state governments! See also my recent survey evidence: https://lnkd.in/gAPcSvpG

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Fernando Pereira has recently launched a new series of coding labs for UFMG's Static Program Analysis course. DCC888 - Static Program Analysis is an annual offering in the Graduate Program in Computer Science at the Federal University of Minas Gerais. The course delves into various static analysis techniques, including data-flow equations, control-flow and data-flow graphs, type systems, fixed-point theory, lattices, proofs of termination, constraint generation, and Static-Single Assignment form. Students are tasked with completing project assignments, primarily involving filling in missing parts of static analysis algorithms implemented in Python. These assignments are evaluated using UFMG's automated grading system (based on Moodle), but interested students can still try the labs: they all include doctests to guide students through completing the assignments. Check out the labs: https://lnkd.in/eA7NNpbc Check out DCC888: https://lnkd.in/dG8Wrv5k #university #computerscience #compiler #programming #science #research

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