May 18, 2016
San Francisco, CA Buy Tickets
The future is already here, it is just not evenly distributed. But it clearly shows in our 150 talks, comprising 7 conferences, bounded by the 5 days conference matrix. 50+ founders/CEOs/CTOs speaking.
In-depth talks from Google (BigQuery and Translate), Baidu Research, MetaMind, StitchFix (Deep Learning), Microsoft, Bloomberg, Quora, Kaggle, Dato (Machine Learning), Netflix (Recommender Systems), IBM (Watson), Facebook, ClearStory (DataViz), LinkedIn, Yahoo, H2O, Confluent, Mesosphere (Data Pipelines), Samsung, Automatic (IoT), AMPLab, Databricks, Salesforce, Workday, Cloudera (Spark), Pivotal (OSS), Zillow, Pandora, Nitro, Lucidworks, Mattermark, Credit Karma, Alpine Labs, , University of California-Berkeley, Stanford University, City of San Francisco, and many others.Buy Tickets
Only 300 tickets for each day will be available to have a truly intimate technical community atmosphere.
Data for Democracy is a new conference devoted to data mining, natural language processing, machine learning, and AI applications to democracy. We cover all aspects of democracy, from voter lists to targeted and personalized discourse. We believe that instead of trivialized blanket messaging, voters deserve direct and relevant connection with their elected representative on all levels, as well as between themselves. Data mining and machine learning is changing the way we shop, discover knowledge, and meet people, and it should be able to bring the same personalization and relevance experience to politics.
Schedule is Published
Data for Democracy
A new conference for startups applying web-scale data science and engineering tested in consumer technology to democracy, and data-driven political organizations who want to benefit from technology, win with it, govern with it, and improve our society with it.
Please see the umbrella Data By the Bay description of a good talk By the Bay.
For Democracy By the Bay, some specific topics of interest include:
- Voter list collection and maintenance
- Personalizing messages for groups and individuals at scale
- Measuring and influencing response to campaign messaging on social media
- Deep analysis of voter preferences based on Big Data
- Ubiquitous democracy platforms and the rise of bottom-up self-organization
- And more!
Last year, we started with a two-day, three-track, 50-talk conference. We've put together an inspiring program centered around language, Big Data, text and images, deep learning, UI, social networks, and much more.
This year, we're running the first data grid conference sequence with with seven verticals over five days. Each day's attendance is limited to only 400 seats and it will be full. We hope you join us in May By the Bay!
Matt Mahan is cofounder and CEO of Brigade. He previously served as CEO of Causes, the world’s largest online campaigning platform with 186 million registered users in 156 countries. Matt grew up in Watsonville, California's strawberry capital, and is a Teach for America alum and former Harvard student body president.
Lukas Biewald is CEO of CrowdFlower, which he co-founded in 2007. Prior to that, he was a senior scientist and manager within the ranking and management team at Powerset, a natural language search technology company later acquired by Microsoft. Biewald has also led the search relevance team for Yahoo! Japan. He graduated from Stanford University with a B.S. in mathematics and an M.S. in computer science. He is also an expert-level Go player.
Data Pipelines By the Bay
May 16, 2016
Building on Big Data Scala, this is the first conference showing end-to-end unity of Data Engineering and Data Science for big, fast, streaming data.
Text By the Bay
May 17-18, 2016 (Day 2 parallel with Democracy By the Bay and Law By the Bay)
Democracy By the Bay
May 18, 2016 (parallel with Law By the Bay and Text By the Bay)
NLP and Data Science with focus on politics, society, and government.
Law By the Bay
May 18, 2016 (parallel with Democracy By the Bay and Text By the Bay)
NLP and Data Science with focus on legal data and processes.
Legal search (100% recall), case-specific NLP, ambiguity analysis, etc.
AIoT By the Bay
May 19, 2016
Not everything is text. Multiple talks at Text By the Bay dealt with multi-modal data such as images with text. AI and IoT day is all about sensor data streams, images, vision, speech, music.
Life Sciences By the Bay
May 20, 2016 (Parallel with Data UX By the Bay)
There are several major categories of data mining related to life and health. First, genomics -- Bay Area leads with Spark and ADAM. Second, medical sensor and imaging data, with companies like Enlitic.
Data UX By the Bay
May 20, 2016 (Parallel with Life Sciences By the Bay)
Data should be visualized, with massive datasets distilled into clear and actionable display calling attention to what's really important. And then UX should naturally lead to the appropriate action.
Data By the Bay – Common Thread
May 16-20, 2016
For each conference, we'll have a common horizontal themes: platforms and algorithms.
Technology Insights and Events
Be a supporting member of San Francisco's premier Data/AI conference. We want to hear from you! Contact us for a prospectus and sponsorship agreement, or to talk about how we can help you be a contributing sponsor for the Data By The Bay conference!
Come to Data for Democracy well-rested and ready to meet your fellow developers. We'll have a full day of talks (keynotes, full-length, and lightning) and build a startup-centric data engineering community for the Bay Area!
Stay informed with the Data for Democracy conference news and event updates.
If you'd like to sponsor Data for Democracy, contact email@example.com
You can buy tickets for two or more days of the conference as passes. Once you buy a pass, you will receive an email with instructions on how to redeem the days you want. Each day has the capacity of 400 and will automatically be disabled once full. We'll add the days that are sold out on the TICKETS page as soon as they become unavailable.
Currently available days: Day 1, Day 2, Day 3, Day 4, Day 5.
Pricing works as follows: regular admission is $500/day. Very Early Bird is $400/day, Early Bird is $450/day, and late Bird is $550/day. We will only allocate 100 Very Early/Early Bird tickets for each day, since our capacity is limited and the word is only getting out. The passes are 2/3/4/5-day bundles, discounted $50 per each extra day (so 2-day Very Early Bird Bundle is $750, 2-day Early Bird Bundle is $850, 2-day Regular Admission Bundle is $950, etc.). We use Stripe directly to process all payments.
Full-time students inquiring about discounts: please email proof of enrollment and dates of interest.