Tomorrow, 6:00pm. Join us for a lecture from Urban Spatial Analytics by Esteban Lopez Ochoa titled “Leveling the Field: Combining Proprietary Micro-Level Data with Machine Learning Methods for Housing Justice Research.” Ochoa, who teaches at the at the University of Texas at San Antonio, will discuss “how property-level gentrification index and code-enforcement bias assessment are two examples of leveraging these new data sources with machine learning and artificial intelligence techniques to level the playing field in data-driven equity advocacy in urban issues.” https://lnkd.in/g7CjPujE
University of Pennsylvania Stuart Weitzman School of Design’s Post
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Machine learning can be useful in understanding complex social relations, such as those linking civic participation and trust. With Natalia Pecorari, we explore how different machine learning techniques unpack citizen participation in Latin America and the Caribbean. Read the results of this research in our recently published article in EJDR European Journal of Development Research https://lnkd.in/esQvQ3ky
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Lots of places talk about AI, but Andy Hannah is the only person I’ve seen apply AI to Higher Ed in actionable ways! If you are at NASFAA, I highly encourage you to attend this session!
Don't miss this upcoming session at the National Association of Student Financial Aid Administrators (NASFAA) National Conference starring: 🗣 Nick Prewett Ed.D, Director of Financial Aid, Stony Brook University 🗣 Andy Hannah, Adjunct Professor of Analytics, University of Pittsburgh ✈️ Erin Stine is also attending, reach out if you'd like to meet up with her! #HigherEd #AI #EdTech #analytics
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My latest research finalized! The title of my manuscript is, "Introduction of Non-Nestmate Honeybees to an Observational Hive Decreases Frequency of Waggle Dances". In the paper, I use behavioral observation skills, statistical analysis techniques in Excel, and data visualization in Tableau. Thank you to my professors, Dr. Hong Lei, Dr. Cahit Ozturk, and to our awesome TA, Shawn Mahoney! I'm appreciative of my classmates who provided review of my draft as well. To check out the paper, just click the link and scroll down to the last entry (my name) https://lnkd.in/g2fwmHhA
2024 spring
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One of the things I appreciate most about my current studies is the opportunity to delve deep into relevant topics affecting my community. Even better, I get to learn from the perspectives of my extremely talented peers and mentors along the way. Last semester, Joshua (Hyochan) Lee, Iana Lanceta, Amrit Pattanaik, and I tackled the issue of digital disinformation (focusing on generative artificial intelligence) in U.S. election spaces. I'm really happy to share the policy brief that resulted from our efforts, published in the 'Student Working Paper' series with Hertie's Centre for Digital Governance. You can read the paper here: https://lnkd.in/evAN_Uv2
Generative AI and the 2024 U.S. election
hertie-school.org
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EVENT: The Trust Series: Trust and Misinformation in Digital Information Ecosystems (Rebroadcast) This event highlights recent findings from ground-breaking behavioural science research on trust and misinformation and takes a deep dive into the effectiveness of behaviourally informed interventions. Learn more: https://lnkd.in/gwWkst53 #GCLearning
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New paper out in Scientific Data! 📈 We show that wealth inequality within the United States has risen to a new peak, likely an all time high. This work is made possible by our use of ensemble machine learning to connect federal wealth surveys and public microdata. Write-up: https://lnkd.in/gUATBMDD Paper: https://lnkd.in/g2dneYE3
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📅Join us on May 29, 2024, for the rebroadcast of the Trust and Misinformation in Digital Information Ecosystems event. Behavioural science research is an important contributor to improving our understanding of the factors that influence policy effectiveness and public trust, including stressors like misinformation in digital information ecosystems. Learn more and register today: https://lnkd.in/gwWkst53 #GCLearning
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The Research Group “Data Science and Soft Computing for Social Analytics and Decision Aid”(Discus Group, Complutense University of Madrid), presents our last scientific publication: Emotivism Trends in Digital Political Communication: The Influence on the Results of the US Presidential Elections. Soc. Sci. 2024, 13(2), 80. This article belongs to the Special Issue Rethinking and Analyzing Political Communication in the Digital Era https://lnkd.in/d2KC4Z52
Belén Casas Mas
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Social network analysis is now a core component of computational social science. D-Lab Data Science Fellow Christian Caballero introduces concepts of network analysis in this week's D-Lab Blog Post. Check out his post to gain a foundational understanding of networks and how they can be used for social science research: https://lnkd.in/g5vk9uks
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
Excited to share insights on spatial transfer learning in spatial statistics! Our latest blog post explores the potential of transfer learning through the lens of a simple MLP. Dive into the cutting-edge research here: https://bit.ly/3QBqvfl. #transferlearning #spatialstatistics #MLP #research
