- Global Artificial Intelligence Conference - Oct 23-24 2017 - NYC
Global Big Data Conference's vendor agnostic Global Artificial Intelligence(AI) Conference is held on October 23rd & October 24th 2017 on all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/Pharma/BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc.. ). It will be the largest vendor agnostic conference in AI space. The Conference allows practitioners to discuss AI through effective use of various techniques. Meetup Members will receive $200 discount by using promotional code MEETUP and register at below URL: http://www.globalbigdataconference.com/new-york/global-artificial-intelligence-conference/attendee- registration-93.html Agenda: http://www.globalbigdataconference.com/new-york/global-artificial-intelligence-conference/schedule-93.html Confirmed Speakers: http://www.globalbigdataconference.com/new-york/global-artificial-intelligence-conference/speakers-93.html Overview: http://www.globalbigdataconference.com/new-york/global-artificial-intelligence-conference/event-93.html
- AT&T Women in Tech Hackathon
Free Eventbrite registration required: http://att-gwc-hack.eventbrite.com/?aff=wit (http://att-gwc-hack.eventbrite.com/?aff=wit*) Do you like to design and make things? Are you inspired by the power of technology to affect positive change and do good? If so, we want to see you in action. AT&T and Girls Who Code are opening our doors for you to innovate. We’re looking for creative thinkers like you to join us at this special social good focused Women in Tech Hackathon for Girls Who Code students, alumnae and the New York tech community. All skill levels are welcome! We need a wide variety skills and perspectives to create positive change. At AT&T, we have adopted a progressive approach to innovation – one that embraces openness and encourages collaboration between entrepreneurs and professionals of all genders and backgrounds. We believe that young women provide a critical spark to the tech industry that can accelerate innovation and economic growth. Free Eventbrite registration required: http://att-gwc-hack.eventbrite.com/?aff=wit (http://att-gwc-hack.eventbrite.com/?aff=wit*)
- DataCorps Projects Show and Tell
It's springtime and that means flowers in full bloom, tiny dogs in tiny galoshes and never quite knowing how many layers to wear. But flowers aren't the only thing blooming - we have over a dozen long-term DataCorps projects recently kicked off or in progress. Come meet some of the volunteer teams and learn about their work with social good organizations worldwide! Mix and mingle with fellow data do-gooders and throw some high fives at the orange-hoodied DataKinders there as well. • 6-6:45 Networking • 6:45-7:30 Presentations from Team YMCA (http://www.datakind.org/blog/strengthening-communities-one-ymca-at-a-time), Team VOTO Mobile (http://www.datakind.org/blog/giving-voice-to-the-voiceless-through-mobile-engagement) and Team MicroCred (http://www.datakind.org/blog/financial-inclusion-to-strengthen-communities-worldwide) • 7:30-8 Networking Special thanks to eBay for hosting and generously providing food and drinks. We hope to see you all soon! Join the conversation at #DataCorps
- Project Showcase: Understanding Successful Mentoring Relationships
It’s our first Meetup of 2016 and we couldn’t be more excited to bring together our favorite people (psst...you!) for a look at one of our recently completed DataCorps projects with iCouldBe (http://www.icouldbe.org/), an online mentoring program. iCouldBe’s story began two years after Google opened their first office and five years before YouTube launched. In the middle of the Internet revolution, iCouldBe developed one of the earliest e-mentoring platforms designed to bring the power of mentoring to at-risk youth across the US. With 1.2 million youth dropping out of school each year, 16 million students in need of a mentor and high school students only receiving 10 minutes per year of guidance counseling, the US continues to face an educational crisis. Since 2000, iCouldBe’s e-mentoring program has served over 21,000 at-risk middle and high school students, empowering teens to stay in school, plan for future careers, and achieve in life. Students from public high schools across the U.S., Canada, and Mexico, select their own mentors and work on e-mentoring activities that focus on academic success strategies, career exploration, and post-secondary educational and career planning. After attending a DataDive, iCouldBe began working with a team of DataCorps volunteers (http://www.datakind.org/blog/datacorps-teams-kicking-off/) (Thomas Vincent, Peter Fleischman, Pooja Madan, and Matt Yin) to analyze their 15 years worth of data, including 130,000 anonymous mentor-mentee conversations, to understand how to define successful mentorship interactions. Hear from Wendy Siegelman, iCouldBe’s Chief Operating Officer, on how this work will help the organization better serve students in need of mentoring and to keep more students in school. Then, ask your own questions during a facilitated Q&A. AT&T and AT&T Aspire, the company’s signature philanthropic initiative, support both DataKind and iCouldBe, so we are especially thankful that they are sponsoring this Meetup and providing the perfect space for a DataKind family reunion. There will be drinks, snacks and ample time for catching up. Can’t wait to see you all soon! Don’t forget to bring a photo ID to get into the building and follow along on Twitter at #ATTimpact. Program • 6:30-7:10: Networking • 7:10-7:20: DataKind + AT&T opening remarks • 7:20-7:35: iCouldBe • 7:35-8:00: Q&A • 8:00-8:30: Networking
- Data for Good Global Meetup
Ok, Hurricane Joaquin - thanks for raining on our parade - that is, picnic. Given the potential for rainy weather on Sunday, we are changing locations for our get together but would still love to see you! Join us at our favorite happy hour spot, Fiddlesticks, in West Village for Sunday evening drinks. Neither sleet nor rain nor Hurricane Joaquin will stop us from rounding up the DataKind family October 4 to introduce our Chapter Leaders to our tremendous New York data for good community. Grab your friends, umbrellas, and hurricane lanterns and weather the storm with us! Questions? Give us a shout!
- A Day in the Life of a DataKind Volunteer
The problem with being a superhero is it’s easy for people to forget the impressive work you do at your day job. (Wait, Clark Kent won a Pulitzer for his exposé on Lex Luther?) Our volunteers do amazing things on their DataKind projects to harness the power of data science in the service of humanity. From understanding recidivism (http://www.datakind.org/blog/meet-datakind-supporter-and-partner-laura-and-john-arnold-foundation/) in the U.S. to driving donations to humanitarian causes (http://www.nten.org/article/using-data-to-drive-donations/) on GlobalGiving to helping Amnesty International predict and prevent human rights abuses (http://www.datakind.org/projects/using-predictive-analytics-to-prevent-human-rights-abuses/) around the globe, we think of our volunteers as data heroes that wield their skills to make the world better. While we admire them for their superpower strengths like munging tall data in a single bound or slaying the villain of shoddy statistics, they do equally jaw dropping feats in their day jobs. See what a day in the day job looks like for our data heroes after the cape comes off. Mild mannered? Hardly! They are deploying game-changing data strategies in their careers and in their spare time. Join us June 24 for a conversation with an impressive posse of DataKind data heroes: Ana Areias is a data scientist and statistical consultant currently doing a project for the World Bank. She’s been sharing how she’s building a predictive model for poverty in Tanzania, comparing several model building algorithms such as Lasso, random KNN and random forests - all within a multiple imputation framework. Arun Ahuja is a Biomedical Software Developer at Mount Sinai where he develops software and tools for genomic analysis. Much of his work has focused on building a variant caller to discover cancer mutations on Spark and analyzing the effect of the mutations on therapeutic response. Tim Rich, a data scientist at 1stDibs.com will talk about how to do data science in a world of no data. In his day job he specializes in finding open source data, unstructured data scraping and ways to mix apples and oranges to solve business problems. Jonathan Roberts is VP of Data Science at About.com where he does data analysis on the entire internet. In his spare time you’ll also find him mapping NYC open data or winning global prizes at NASA’s International Space Apps Challenge making data more accessible through tagging NASA data and across the federal government. Leading the discussion is our own fearless leader, Jake Porway, founder and executive director of DataKind. Capes and trusty sidekicks are welcome! Bring a friend, your grappling hooks and come ready to share the interesting work you’re up to in the office (or at 2am in your apartment while your cat stares at you). Drinks and snacks will be provided. Get ready to meet DataKind friends from across the data science, social sector and civic tech worlds and be a part of this growing league of heroes using data for good.
- DataKind Annual Celebration
Come one, come all to DataKind's annual end of year celebration! We have a lot to be grateful for this year: great projects, great volunteers, great partners and you - all helping to grow the Data-for-Good movement. Join us for eats, drinks, data jokes and learn what you can do to get involved with DataKind and become a Data-for-Good leader in 2015! Cheers! The DataKind Team Thanks to our host and event sponsor, Impact Hub NYC. Many thanks to our sponsors:
- The Ethical Responsibilities of Data Science
Even with the best of intentions, the best data and the most expert and sensitive of data scientists and project parters, it's impossible not to run headfirst into an ethical dilemma when working on a data science project for good. Tonight we'll be leaving behind the sticky summer heat to wade into the sticky situations and ethical dilemmas we navigate everyday as data scientists trying to do good. (Don't worry, this Meetup will be air-conditioned!) To guide us on our discussion we have a panel of expert data do-gooders, including: Samir Goswami, Director of Government Professional Solutions at LexisNexis and former Managing Director of Individuals & Communities at Risk Program for Amnesty International USA -- Samir manages a team at LexisNexis that provides data to the federal government for various big data applications. Samir was a project liaison for Amnesty USA last fall when we attempted to answer the tricky question: is it possible to use Amnesty International's Urgent Action database to predict and prevent human rights violations? Bob Filbin, Chief Data Scientist at Crisis Text Line -- Crisis Text Line serves young people in any type of crisis, providing them access to free, 24/7, emotional support and information they need via the medium they already use and trust: text. Bob works with the incredibly sensitive data collected during these interactions to help CTL counselors better serve their community, and provide insights into teen mental health care and counseling. E.V. Wright, Research Associate and Project Manager -- As a volunteer with DataKind's Amnesty International project, E.V. brings her perspective as an artist and human centered research practitioner to remind us that first and foremost data is people. Tim Rich, Data Scientist at 1stDibs.com -- Tim served as a Data Ambassador on a project to benefit the NYC Mayor's Office of Data Analytics. Their problem -- how to revamp MODA's geocoding application so that every New Yorker gets counted during vital analyses. At last fall's DataDive, Tim made sure that his team's work wouldn't get lost in the ether, and that MODA could actually put it to work right away. And last but not least, our moderator for the evening will be Jake Porway, Founder and Executive Director of DataKind, as well as former NY Times R&D Lab data scientist. Join us for conversation and questions as we tackle one of the toughest topics in our field-- how do we do approach big data questions while putting an ethical sensitivity towards data and towards people first? Have you had to tackle a tough ethical question while trying to do good with data? Shoot an email to the organizer if you'd like to share your experiences with the group.
- Volunteer Opportunity for DonorsChoose.org!
Thanks for an overwhelmingly positive response! Unfortunately this opportunity is now full, but please check out our upcoming MeetUp (http://www.meetup.com/DataKind-NYC/events/192205522/) and make sure you sign-up on our website (http://www.datakind.org/getinvolved/) if you are interested in future volunteer opportunities. --------------------------------------------------------------------------------- Here's the deal-- if you've got 30 minutes for a Google Hangout and another 30 to volunteer, you can make a world of difference for DonorsChoose.org, who's working to improve public education in America with the help of DataKind's DataCorps. We're looking for fifteen volunteers, first come first serve. No coding skills required. Project Description Help us understand the needs of teachers across the United States by validating DonorsChoose.org's product taxonomy. DonorsChoose.org (http://www.donorschoose.org) is an online charity that makes it easy for anyone to help students in need. Public school teachers from every corner of America post classroom project requests on their site, and you can give any amount to the project that most inspires you. They've collected tons of rich data about the items that American teachers are requesting for their classrooms. DataKind's volunteer DataCorps team has been working with DonorsChoose.org (http://www.datakind.org/blog/datajam-with-donorschooseorg/) to help implement a taxonomy that will lead to more useful analysis. Ultimately, this categorized data will be used so that DonorsChoose.org can better describe teachers' needs in the classroom and work towards fulfilling them - both through their own programs and through sharing this valuable information to the public. Your Mission Now we need your help! After many technical hurdles, the DataCorps has implemented a taxonomy that seems to be accurately categorizing products - iPads are tablets, and the book about a turkey is no longer categorized as "pet food" - but to be useful, we need to estimate how accurate the taxonomy actually is. If you have some time this weekend, we would love your help in validating a sample of this categorized data. All you need to do is join our Google Hangout this Thursday evening at 7 pm for a quick overview on the project, and then in your own time this weekend, spend a few minutes with the user interface to verify the algorithm.