Women in Data Science (WiDS) Stanford 2020
2020-03-02
Stanford, United States
as the organisers put it
The WiDS 2020 Conference at Stanford University featured keynotes, technical vision talks, an ethics panel, career panel, lunchtime breakouts, and multiple opportunities to network with other attendees.
| title | author | length |
|---|---|---|
| Talithia Williams, Harvey Mudd College | Stanford Women in Data Science (WiDS) Conference 2020 | Talithia Williams | 11m |
Argues that individuals should collect and interpret their own health data to change behavior and inform medical decisions, using consumer devices like Fitbits… | ||
| Why a World with AI Needs More EQ | Tsu-Jae King Liu | 27m |
Computing power reaches parity with estimated human-brain calculations by midcentury and workforce studies predict automation shifts jobs toward social and… | ||
| Creating Global Economic Opportunity with Responsible Data Science | Ya Xu | 19m |
LinkedIn processes over a terabyte of events daily with roughly 500,000 jobs running to power the economic graph and pursues making Differential Privacy the… | ||
| Machine Learning: A New Approach to Drug Discovery | Daphne Koller | 30m |
Asserts that a scaled bio-data factory combining induced pluripotent stem cells, CRISPR perturbations, high‑content imaging and lab automation produces… | ||
| How Data Science Can Unlock Teaching & Learning at Scale | Emily Glassberg Sands | 18m |
Coursera uses data science on a 50 million learner platform to build concrete products: In-course Help serves nearly 100 million personalized interventions… | ||
| Building Water Security From the Bottom Up by Leveraging Big Data | Newsha Ajami | 17m |
Urban water systems shift from supply fixes to behavior-driven solutions using high-frequency meter data and web signals. A Redwood City natural vs recycled… | ||
| Know Thyself: Introspective Personal Data Mining | Talithia Williams | 17m |
Wearable data drives concrete changes: Fitbit step logs, sleep records showing Restless 16 times versus 6, and heart-rate traces with intensity zones reveal… | ||
| WiDS 2020 Opening Video | Margot Gerritsen | 05m |
Started as a Stanford conference and now claims 200+ regional events worldwide, a global datathon that draws teams across three continents, a podcast series… | ||
| Polyglot AI: The Role of Natural Language Processing (NLP) | Rama Akkiraju | 20m |
Argues that practical polyglot enterprise AI must master both human and company vocabularies and that companies operate in 170+ languages, so scale matters… | ||
| Data Science in a Cloud World: What Every Data Scientist Needs to Know | Nhung Ho | 19m |
Company migrates over six years to a cloud-native stack and uses containers, Kubernetes, GPU instances and third‑party conversational agent AI services to ship… | ||
| Interpretability For Everyone | Been Kim | 21m |
Shows that saliency maps fail sanity checks by barely changing even after networks are randomized, so visual explanations can be misleading; develops TCAV… | ||
| Emily Glassberg Sands, Coursera | Stanford Women in Data Science (WiDS) Conference 2020 | Emily Glassberg Sands | 09m |
Coursera describes concrete systems: telemetry of event-level data across ~50 million learners and partnerships with 160 universities and 20 industry providers… | ||
| Ya Xu, LinkedIn | Stanford Women in Data Science (WiDS) Conference 2020 | Ya Xu | 10m |
LinkedIn frames a concrete goal—create economic opportunity for every worker—backed by a 700 million-member economic graph and millions of jobs and companies… | ||
| Career Panel | Martina Lauchengco, Rukmini Iyer, Talithia Williams, Denice Ross, Lillian Carrasquillo | 38m |
Panelists compare concrete career moves and results: rebuilding municipal datasets after Katrina when eighty percent of the city had flooded, creating a public… | ||
| Ethics Panel | Margot Gerritsen, Aslihan Demirkaya, Lucy Bernholz, Lynn Kirabo | 41m |
Concrete examples and experiments anchor the conversation: Google Translate’s gender fixes and a BERT probe that predicts “mathematician” as male ~83% (and… | ||
| Don't Look. See! Are We Blinded by Data (Visualization)? | Fanny Chevalier | 20m |
Argues that people reliably misread data and visuals and gives concrete fixes: vending machines cause >1,700 US injuries yearly and kill more than sharks and… | ||
| Newsha Ajami, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020 | Newsha Ajami | 12m |
Argues that the century‑old top‑down water model fails because human decisions aren’t part of planning and shows concrete levers: uses data science and… | ||
| WiDS Welcome | Margot Gerritsen, Karen Matthys, Judy Logan | 07m |
Welcome and overview of WiDS’ fifth anniversary with concrete scale metrics: 200 regional events across 60 countries organized by over 500 ambassadors, plus… | ||
| Opening Address | Persis Drell | 12m |
Conference grows from a local 2015 meetup to 200 conferences worldwide within five years, and data science now informs precision medicine, retail targeting… | ||
| Daphne Koller, insitro | Stanford Women in Data Science (WiDS) Conference 2020 | Daphne Koller | 12m |
insitro builds an end-to-end, data-first drug discovery stack that couples half life scientists, half ML teams to design experiments, generate massive… | ||
| Nhung Ho, Intuit | Stanford Women in Data Science (WiDS) Conference 2020 | Nhung Ho | 10m |
Intuit moves QuickBooks from annual releases to continuous cloud deployment, running hundreds of A/B tests at any time to validate features against 2.5 million… | ||
| Lillian Carrasquillo, Spotify | Stanford Women in Data Science (WiDS) Conference 2020 | Lillian Carrasquillo | 10m |
Claims diversity reduces unfair bias in models and shows how Spotify’s personalization work actually does it by powering Daily Mix, Discover Weekly and… | ||
| Lucy Bernholz, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020 | Lucy Bernholz | 11m |
Claims that digital civil society doesn't exist because associational life now runs through company-built, surveilled digital systems, and that this collapse… | ||
| WiDS 2020 Highlights on theCUBE | 06m | |
Highlights claim that owning personal physiologic data leads to better health decisions and shows concrete measures: device sensors capture heart rate, air… | ||
| John Hoegger, Microsoft | Stanford Women in Data Science (WiDS) Conference 2020 | John Hoegger | 06m |
Microsoft describes sponsoring WiDS after its first year and hosting regional events in Redmond, New York and Boston while the conference grows from about 400… | ||
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