Podcast appearances and mentions of jake porway

"What could the nonprofit sector do if every nonprofit had Google's engineering team?" (J. P.)   In this thought-provoking episode, we sat down with Jake Porway, the visionary co-founder of DataKind, to explore the transformative potential of harnessing data science for the nonprofit sector. Jake takes us through the journey of the organization from its early days of hackathons to its evolution into a beacon for long-term, impact-oriented projects.   Today, DataKind is made of many chapters worldwide, as data scientists and social workers meet to face challenges in their home countries. But we asked Jake about high-level issues as well — aspects he has put much thought into: Do nonprofits need their own data science teams? If not, what is the right model to leverage data science skills when the alternative is an incredibly high-paying job in the for-profit sector? Are organizations like DataKind suitable for generating products that scale or does their true value lie in creating a platform for much needed (and underfunded) Research and Development in the service of social impact?    This episode is a must-listen for anyone who is working in tech, and is looking for a way to put their skills towards something more than ad campaign optimization.   > Transcript on website   RATE, WRITE, SUBSCRIBE Be sure to leave us a rating on Spotify or a review on Apple Podcasts!   Wicked problems require more than one line of thought — was there anything you agreed or disagreed with? Anything you'd like us to explore further? Write us a note at podcast@techmatters.org and follow us on LinkedIn! 

As we learned from Nithya Ramanathan in Season 1, data = money = power. To understand what this means for our future, and what we can actually do about it, we're coming back strong with a whole new lineup of interviews in Season 2. You'll hear from Jake Porway, co-founder of Datakind, Yvette Alberdingk Thijm of Witness, Owen Barder of Precision Development, and many more about the importance of human-centered design, field-based learning, and the needs, challenges, and power of data for good. Tune into the biweekly Tech Matters podcast by following and subscribing on your favorite platform! 

The following is a conversation between Jake Porway, Founder and Executive Director of DataKind, and Denver Frederick, the host of the Business of Giving. In this interview, Jake Porway, Founder and Executive Director of DataKind, shares the following: • The Role of Data Science during Covid-19 • Challenge of data digitization • How data science is weaponized • To get anti-racist algorithms, you need anti-racist systems and leadership

Jacob Weisberg talks to Jake Porway about using big data for good.

Jake Porway, Founder of DataKind, joins hosts Nick Ashburn and Sherryl Kuhlman to discuss how he's bringing high-impact organizations together with leading data scientists to use data science in the service of humanity on Dollars and Change. See acast.com/privacy for privacy and opt-out information.

Data has the potential to help fuel social change across the world, yet many relevant datasets remain locked away and siloed across government agencies, nonprofits, and corporations. What kind of collaboration does it take to make this data available to different actors working to create change? In a series of TED-style talks, Melinda Rolfs of the MasterCard Center for Inclusive Growth, John Wilbanks of Sage Bionetworks, Greg Bloom of Civic Hall Labs and Open Referral, and ST Mayer of Code for America talk about how to develop not only the right tools, but also the right relationships to make data collaboration happen. Jake Porway of DataKind then leads a discussion on how we can collectively harness data for the greater good. View the slides from this session here. https://ssir.org/podcasts/entry/unlocking_data_and_unleashing_its_potential

In the opening keynote at SSIR‘s February 2016 Data on Purpose conference, Jake Porway shares best practices for data storytellers and shows why knowing what the data is or is not saying is critical to creating ethical and accurate visualizations. Among other things, he explains the pitfalls of pie charts, why you should be wary of word clouds, and why good data storytelling ultimately means good statistics. He also argues that the real power of data storytelling lies not just in reporting on past activity, but in making decisions that drive decision-making in the future. Porway is the founder and executive director of DataKind, a nonprofit that uses data science in the service of humanity. He previously worked at the New York Times R&D Lab, Google, and Bell Labs, and has spoken at IBM, Microsoft, and the White House. He holds a bachelor’s degree in computer science from Columbia University and a master’s degree and a doctorate in statistics from the University of California, Los Angeles. If desired, you can follow along with the slideshow that accompanied Porway’s presentation here. https://ssir.org/podcasts/entry/podcast_practice_safe_stats_a_psa

Jake Porway, executive director of DataKind, explains how NGOs use data, how they can use it better, and what data science can do for civil society. Speakers: Elizabeth Eagen, Jake Porway. (Recorded: May 07, 2014)

We have two fantastic guests to talk about using visualization for the good. We have on stage: Kim Rees co-founder of Periscopic, a data visualization company guided by the motto: "do good with data," and Jake Porway, founder of Data Kind, an organization that brings together data scientists and social organizations. We discuss the challenges of working in this world of big data opportunities and the risks and potentially negative implications of using big data.

batt_001_hilary.mp3 batt_001_hilary.oggHilary Mason lives in New York City where she is the Chief Scientist at bitly. She is trying to bring into popularity the field of Data Science. We also discuss her involvement with HackNY, NYCResistor, and her app to find the Median Hamburger in the West Village. Mentioned in this podcast: Read about Hilary's Burger App Watch a Video of Hilary's talk at Urban ReThink Read updates from Hilary's team on the Bitly Blog 4th of July Recipes on Bitly Inspiration: Jer Thorp, Data Artist in Residence at the NYTimes Jake Porway of DataKind littleBits (on CNN) MakerBot Adafruit Industries FamiLAB The Lean Startup Music: Soldiers of Speccy, Intermission by PILL Follow us: Hilary Mason @hmason Bootstrapping Green @peregrineneel Ryan Price @liberatr

As Artificial Intelligence evolves and the debate on Human Centered AI heats up, we should realize that Big Tech cannot solve community challenges but instead develop impact practices that add human value. Human Centered Design is critical as we look for ways of making AI work for us and raise societal standards in equal measure. What about ethical and explainable AI alongside responsible corporate data management?For Instance, Machine learning and analytics are becoming applicable: From reducing gender bias at Apple’s case and facial recognition at the Amazon go store. The big question here is: How can we improve data labeling, make accurate algorithms and develop accountability measures for AI? Humans should be considered in the ethical AI debate by finding better ways to make technology reduce system inequality and develop common ground on AI.Listen in, as I discuss constructive use of AI in creating positive social outcomes and impact practices creating equitable outcomes in the United States.In this episode: Jake Porway, Founder and Executive Director at DataKindToday's episode is brought to you by Manning Publications. Receive 40% off all Data Science and AI Textbooks at: https://deals.manning.com/podhumain19/.You can support the HumAIn podcast and receive subscriber-only content at http://humainpodcast.com/newsletter.