Harvard Data Science Review
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The open access platform of @harvard_data, HDSR is a global forum on everything data science and data science for everyone.
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http://hdsr.mitpress.mit.edu 24-02-2020 15:51:58
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What does climate change mean for wine? Last month, Harvard Data Science Review explored how data science can help wine producers adapt to climate challenges. Read more: bit.ly/4bUTxhH #NationalWineAndCheeseDay #WineAndCheeseDay
“Future Shock: Grappling With the Generative AI Revolution,” a special issue of Harvard Data Science Review, explores societal consequences of rapid AI advances. Articles will appear through 11/30 (the 2nd anniversary of ChatGPT). Read Xiao-Li Meng & David Leslie's intro: hdsr.mitpress.mit.edu/pub/fblrvqes/r…
🎉 New HDSR Podcast! 🍷 For our latest episode, "How Many Glasses of Wine a Day Keeps the Doctor Away?," we talk to esteemed guests, Laura Catena & Ahmed Tawakol about the health benefits and potential drawbacks of #wine. 🎧 Listen now! hdsr.mitpress.mit.edu/podcast
Science faces a reproducibility crisis. Data science & AI courses often include hands-on projects using real-world datasets. What if these projects could help solve the crisis? Check out our new Harvard Data Science Review Harvard Data Science Review paper to learn how! hdsr.mitpress.mit.edu/pub/4df1pl7f/r…
🙌🏼 Our latest issue (6.3) is out! For an in-depth preview of every article, start the issue 📖 by first reading the excellent editorial by Xiao-Li Meng, HDSR Founding Editor-in-Chief. 🧐 Check it out now! hdsr.mitpress.mit.edu/pub/uzk6esyk
#MassGeneral physician Ahmed Tawakol spoke to Harvard Data Science Review Podcast about the benefits and downsides of drinking wine. ivoox.com/en/how-many-gl…
Seeking some Sunday afternoon reading? Here's an article in the latest Harvard Data Science Review that Dan O'Brien + I wrote abt the BARI Conference arguing that building, strengthening, + maintaining community is essential to civic research: hdsr.mitpress.mit.edu/pub/eilrje2j/r…
Is #ChatGPT More Biased Than You? Read our latest Bites and Bites column by COSTANZA BOSONE, Paolo Giudici, Golnoosh Babaei, David Banks & Yunhong Shan to find out about biases in Large Language Models and how to train #LLMs to be less biased hdsr.mitpress.mit.edu/pub/qh3dbdm9
Following the Vine to Mind symposium centered around wine and data science, Harvard Data Science Review keeps the celebration going with a new podcast episode! Ahmed Tawakol Laura Catena share their expertise on wine and alcohol-related research—listen here 👇🏻 bit.ly/3AkyVCo
In our new Harvard Data Science Review article, Melody Huang & I explore recent advancements in causal methods for generalizing & transporting experimental evidence - esp. ones discussed at a recent ICERM workshop. hdsr.mitpress.mit.edu/pub/pzkwyen2/r… Thank you Elizabeth Stuart, Kara Rudolph and Sarah Robertson
STAI CDT student Mackenzie Jorgensen has co-authored the paper ‘Frontier AI,’ Power, and the Public Interest: Who benefits, who decides?’ which has just been accepted into the upcoming Harvard Data Science Review Special Issue 5: 'Grappling with the Generative #AI Revolution' 🔗⬇️ bit.ly/4dSCQ8f
Thank you Harvard Data Science Review for your insightful article on "Is Chat GPT More Biased Than You?" The article examines the bias in LLMs and explores how to reduce this bias.
For the last meeting, our Data & Society Book Club enjoyed the outdoors while discussing Harvard Data Science Review Special Issue 5 "Future Shock: Grappling With the Generative AI Revolution." We shared our reactions to problems associated w/ GenAI - thanks for a lively discussion! Xiao-Li Meng
🎉 New HDSR Podcast! For our latest episode, "I Can’t Believe I Got Hacked! What Can We Do About Cybersecurity? We explore the ins and outs of #cybersecurity with the help of two experts, Milena Rodban & Arun Seelagan (Cybersecurity and Infrastructure Security Agency) 🎧 Listen now! hdsr.mitpress.mit.edu/podcast
Honoured that The Harvard Data Science Review (Harvard Data Science Review) has accepted my article which brings together the philosophy of error with anthropological insights to explain why our AI systems often fail to understand human cultures and experiences. hdsr.mitpress.mit.edu/pub/1yo82mqa/r…
Just published! An interview on the impact of #AI on society conducted by Francine Berman with David Banks (StatSci), Michael Jordan (UC Berkeley EECS), Sabina Leonelli & Martha Minow (Harvard Law School) hdsr.mitpress.mit.edu/pub/wwelf587