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    <dc:date>2026-01-31T22:25:11+00:00</dc:date>
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    <dc:creator>gdw</dc:creator><dc:subject>ai data centers costs downsides cooling ethics</dc:subject>
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    <dc:date>2026-01-05T01:08:35+00:00</dc:date>
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    <dc:creator>gdw</dc:creator><description><![CDATA[This is a virtual workshop / gallery where I post data visualizations, calculators, maps and other web programming projects. It covers a wide range of visualization styles and topics: whatever interests me at the time and I feel compelled to explore. Check out the tabs below to see visualizations in different categories. On mobile, scroll to the right to see more category tabs.]]></description>
<dc:subject>data visualizations online</dc:subject>
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    <dc:creator>gdw</dc:creator><description><![CDATA[A new paper titled “Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition” offers insight into how Apple may be considering incorporating LLM analysis alongside traditional sensor data to gain a more precise understanding of user activity.]]></description>
<dc:subject>ai apple audio visual data lets LLMs determine your action</dc:subject>
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    <title>[2510.03761] You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models</title>
    <dc:date>2025-10-13T22:55:39+00:00</dc:date>
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    <dc:creator>gdw</dc:creator><description><![CDATA[The widespread use of preprint repositories such as arXiv has accelerated the communication of scientific results but also introduced overlooked security risks. Beyond PDFs, these platforms provide unrestricted access to original source materials, including LaTeX sources, auxiliary code, figures, and embedded comments. In the absence of sanitization, submissions may disclose sensitive information that adversaries can harvest using open-source intelligence.]]></description>
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    <link>https://techcrunch.com/2025/10/01/new-project-makes-wikipedia-data-more-accessible-to-ai/</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models.

Called the Wikidata Embedding Project, the system applies a vector-based semantic search — a technique that helps computers understand the meaning and relationships between words — to the existing data on Wikipedia and its sister platforms, consisting of nearly 120 million entries. ]]></description>
<dc:subject>ai data accessibility wikimedia</dc:subject>
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    <title>About – FlowingData</title>
    <dc:date>2025-07-14T23:21:38+00:00</dc:date>
    <link>https://flowingdata.com/about</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[ FlowingData explores how we use analysis and visualization to understand data and ourselves.
 
The blog — a combination of highlighting others’ work, my own projects, and visualization guides — is a free resource for everyone. It’s completely supported by members, who get access to courses, tutorials, and The Process.]]></description>
<dc:subject>data analysis charts</dc:subject>
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    <title>Your devices feed AI assistants and harvest personal data even if they’re asleep. Here's how to know what you're sharing. | Live Science</title>
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    <dc:creator>gdw</dc:creator><description><![CDATA[AI tools that provide information to you also gather lots of information from you and may provide it to third parties. ]]></description>
<dc:subject>ai privacy security data generative predictive</dc:subject>
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    <title>16 billion password data breach hits Apple, Google, Facebook and more — LIVE updates and how to stay safe | Tom's Guide</title>
    <dc:date>2025-06-20T22:59:23+00:00</dc:date>
    <link>https://www.tomsguide.com/news/live/16-billion-passwords-data-breach</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[Latest updates on one of the largest data breaches 

The news of a massive 16 billion data breach that exposed login credentials from Apple, Google, Facebook has made record as one of the largest data breaches in history.]]></description>
<dc:subject>data breaches apple facebook</dc:subject>
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    <title>Our World in Data</title>
    <dc:date>2024-06-04T19:48:13+00:00</dc:date>
    <link>https://ourworldindata.org/</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[What do we need to know to make the world a better place?

To make progress against the pressing problems the world faces, we need to be informed by the best research and data.

Our World in Data makes this knowledge accessible and understandable, to empower those working to build a better world.]]></description>
<dc:subject>visualization data problems progress</dc:subject>
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    <title>About Us | 7wData</title>
    <dc:date>2023-09-13T05:43:47+00:00</dc:date>
    <link>https://7wdata.be/about-us/</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[7wData is a digital publication focussed on data and disruptive technologies, to foster innovation & play matchmaker between people and solutions.]]></description>
<dc:subject>data disruptive technologies AI</dc:subject>
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    <title>About | Tidepool</title>
    <dc:date>2023-07-28T04:33:48+00:00</dc:date>
    <link>https://www.tidepool.org/about</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[a non-profit tech organization composed of caregivers and other people living with diabetes]]></description>
<dc:subject>mozilla tidepool diabetes data</dc:subject>
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<dc:subject>google AI Data privacy security</dc:subject>
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<item rdf:about="https://datagy.io/">
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<item rdf:about="https://www.freecodecamp.org/news/learn-algorithms-and-data-structures-in-python/">
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<item rdf:about="https://www.androidcentral.com/phones/samsung/samsung-2022-data-breach">
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    <dc:date>2022-09-04T20:34:49+00:00</dc:date>
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<dc:subject>data sonification sound visualizations</dc:subject>
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<item rdf:about="https://www.wired.com/story/nextsense-wants-to-get-in-your-ears-and-watch-your-brain/">
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<dc:subject>wearable alphabet nextsense nsi earbuds neural data</dc:subject>
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You can find all the code snippets I have posted]]></description>
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<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.cdc.gov/trendstatement/">
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<dc:subject>TREND evaluation data reporting</dc:subject>
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<item rdf:about="https://medium.com/dev-today/python-data-classes-will-save-you-hours-and-bring-back-the-joy-of-writing-classes-7559a1718318">
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    <dc:creator>gdw</dc:creator><description><![CDATA[Python Data Classes]]></description>
<dc:subject>Python Data Classes</dc:subject>
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<item rdf:about="https://openweathermap.org/api">
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    <link>https://openweathermap.org/api</link>
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]]></description>
<dc:subject>weather data api</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://towardsdatascience.com/earn-more-salary-as-a-coder-higher-degree-or-more-years-of-experience-68c13f73a557">
    <title>Earn More Salary as a Coder — Higher Degree or More Years of Experience? | by Khuyen Tran | Jan, 2022 | Towards Data Science</title>
    <dc:date>2022-01-12T20:06:17+00:00</dc:date>
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    <dc:creator>gdw</dc:creator><description><![CDATA[An Analysis Using Visualization and Bayesian Inference in Python
]]></description>
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<item rdf:about="https://towardsdatascience.com/january-edition-getting-started-in-data-science-a493660213d">
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    <dc:date>2022-01-06T20:09:17+00:00</dc:date>
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    <dc:creator>gdw</dc:creator><description><![CDATA[Kicking off the new year with a warm, gentle welcome to all new (and aspiring) data scientists]]></description>
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<item rdf:about="https://geekdad.com/2017/01/devonthink-mac-ios/amp/">
    <title>DEVONthink: Magical Data Management for Mac &amp; iOS - GeekDad</title>
    <dc:date>2021-12-27T02:44:32+00:00</dc:date>
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<dc:identifier>https://pinboard.in/u:gdw/b:fed7b9a15a7b/</dc:identifier>
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<item rdf:about="https://preettheman.medium.com/this-is-what-apple-uses-for-data-science-59a8c71fd41f">
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    <dc:date>2021-12-17T20:06:29+00:00</dc:date>
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<item rdf:about="https://books.google.com/ngrams/info">
    <title>Google Ngram Viewer</title>
    <dc:date>2021-11-24T18:49:00+00:00</dc:date>
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<dc:subject>google ngram books data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://towardsdatascience.com/lessons-from-how-to-lie-with-statistics-57060c0d2f19">
    <title>Lessons on How to Lie with Statistics | by Will Koehrsen | Towards Data Science</title>
    <dc:date>2021-11-01T18:32:21+00:00</dc:date>
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    <dc:creator>gdw</dc:creator><description><![CDATA[Timeless Data Literacy Advice]]></description>
<dc:subject>statistics data literacy advice</dc:subject>
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    <dc:date>2021-10-14T05:44:13+00:00</dc:date>
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If you’re an R user getting into the Python world, use plotnine.
If you have small data sizes, consider Altair.
If you need an all-purpose tool that you won’t need to switch later, use Bokeh. It’s a reasonably strong performer in many different categories.
And, honestly, if you have the freedom to choose any ecosystem, and you care deeply about the visualizations? Use R. ¯\_(ツ)_/¯]]></description>
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    <title>Erik Bernhardsson</title>
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    <link>https://erikbern.com/</link>
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<item rdf:about="https://polytope.com/">
    <title>Polytope</title>
    <dc:date>2021-07-10T00:01:32+00:00</dc:date>
    <link>https://polytope.com/</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[Polytope is a new delightful set of tools and infrastructure to work with data, made by Erik Bernhardsson.]]></description>
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    <title>30 times Faster Python Function Execution in a Few Lines of Code | by Satyam Kumar | Jul, 2021 | Towards Data Science</title>
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"...illustrate some of the core differences between the two more explicitly, not only starting from the origins of both to explain how the two relate, but also covering some specific features that are either part of one or the other, so that it will be easier for you to make the distinction between the two!"

The name “Jupyter” was inspired by thinking about the leading open languages for science (that is, Julia, Python, and R),]]></description>
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]]></description>
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Parler
Data Science
Right Wing Extremism
Scraping]]></description>
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    <dc:creator>gdw</dc:creator><description><![CDATA[Adding time to the mix and you are done…]]></description>
<dc:subject>Date Time Objects Python itp medium data science</dc:subject>
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    <title>Comcast data fee coming to Baltimore in 2021 | WBFF</title>
    <dc:date>2020-11-27T00:54:43+00:00</dc:date>
    <link>https://foxbaltimore.com/news/local/comcast-data-fee-coming-to-baltimore-in-2021</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[Comcast will be charging some of its customers who use the most data an extra fee starting in 2021. The company is offering ways to avoid the fee - monitor how much data is being used or buy an unlimited internet package]]></description>
<dc:subject>comcast data fee 2021</dc:subject>
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    <title>Opinion | Think You’re Discreet Online? Think Again - The New York Times</title>
    <dc:date>2020-11-08T19:36:17+00:00</dc:date>
    <link>https://www.nytimes.com/2019/04/21/opinion/computational-inference.html?action=click&amp;block=associated_collection_recirc&amp;impression_id=466f88a1-21f9-11eb-af00-4f1e45bcf10e&amp;index=1&amp;pgtype=Article&amp;region=footer</link>
    <dc:creator>gdw</dc:creator><description><![CDATA[Thanks to “data inference” technology, companies know more about you than you disclose.

Dr. Zeynep Tufekci is a professor of information science who specializes in the social effects of technology.

]]></description>
<dc:subject>Zeynep Tufekci data inference technology wpd privacy security</dc:subject>
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