Socos Labs provides unique insights and advice to our partners on a wide range of mission areas and practices, but we are also dedicated to sharing our discoveries broadly. Improving both public and private policy is our core mission. We communicate across diverse channels to support that mission, from traditional scientific publishing in peer-reviewed journals and conferences to thought pieces and op-eds for the public to targeted advice informing policy makers and business leaders.


Working Papers

"Inclusion Impact Index" (2020)

"Aligning Learning with Life Outcomes through Naturalistic Assessment" Bumbachar, Ming, & Ming (2019)

"The State of LGBT Entrepreneurship in the US" Ming, Deutsh, Shea, & Sinton, StartOut (2016)

Often Cited External Research

"Leading a meaningful life at older ages and its relationship with social engagement, prosperity, health, biology, and time use" Steptoe & Fancourt, PNAS (2019)

"Life skills, wealth, health, and wellbeing in later life" Steptoe & Wardle, PNAS (2017)

"Reducing Implicit Racial Preferences: II. Intervention Effectiveness Across Time" Lai, Skinner, Cooley et. al., Journal of Experimental Psychology (2016)

"Reducing Implicit Racial Preferences: I. A Comparative Investigation of 17 Interventions" Lai, Skinner, Cooley et. al., Journal of Experimental Psychology (2014)

"Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market" Salganik, Dodds, Watt et. al., Science Magazine (2006)


"Visualizing Topics, Time, and Grades in Online Class Discussions" Vivienne Ming & Norma Ming, 10th International Conference on Computer Supported Collaborative Learning (2013)

"Faculty Tools for Visualizing Online Class Discussions" Vivienne Ming & Norma Ming, AERA (2013)

"Heirarchical coding of natural signals in a dynamical system model" Bumbacher & Ming, CoSyne (2012)

"Pitch-sensitive Components Emerge from Hierarchical Sparse Coding of Natural Sounds" Bumbacher & Ming, Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (2012)

"Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus" Carlson, Ming & DeWeese, PLoS CompBio (2012)

"Predicting student outcomes from unstructured data" Vivienne Ming & Norma Ming, UMAP Workshops (2012)

"Automated predictive assessment from unstructured student writing" Vivienne Ming & Norma Ming, The First International Conference on Data Analytics (2012)

"Modeling student conceptual knowledge from unstructured data using a hierarchical generative model" Vivienne Ming & Norma Ming, NeurIPS: Personalizing Education With Machine Learning (2012)

"A Sparse Representation of Speech Data" Carlson, Ming & DeWeese, Sensory Coding & the Natural Environment, Gordon Research Conference (2010)

"Efficient coding in human auditory perception" Ming & Holt, The Journal of the Acoustical Society of America (2009)

"A sparse subspace model of higher-level sound structure" Wang, Olshausen & Ming, CoSyne (2008)

"Cross-linguistic evidence of adaptation of speech statistics to the mammalian auditory code" Ming & Lewicki, Computational Cognitive Neuroscience (2007)

"Evidence of efficient coding in human speech perception" Ming & Holt, JASA (2007)

"Learning invariant structure in speech sounds using subspace sparse coding" Ming & Wang, Computational Cognitive Neuroscience (2007)

"The spectrotemporal density components of speech" Vivienne Ming, Computational Cognitive Neuroscience (2007)

"A theoretical model of cochlear processing improves simulated cochlear implant hearing" Smith & Holt, Annual Meeting of the Acoustical Society of America (2006)

"A theoretical model of cochlear processing improves spectrally-degraded speech perception" Smith & Holt, JASA (2006)

"Efficient auditory coding" Smith & Lewecki, Nature (2006)

"Learning efficient auditory codes using spikes predicts cochlear filters" Smith & Lewecki, Advances in Neural Information Processing Systems 17 (2005)

"Efficient coding of time-relative structure in natural sounds using spikes" Smith & Lewecki, Neural Computation (2005)

"Efficient coding of time-relative structure in natural sounds using spikes" Smith & Lewecki, Neural Computation (2005)

"Efficient coding of acoustic structure with spike times" Smith & Lewecki, Computational and Systems Neuroscience Conference (2004)

"Spike codes using populations of stochastic units" Smith & Lewecki, Gordon Conference on Sensory Coding and the Natural Environment (2004)

"An approach to automatic recognition of spontaneous facial actions" Bartlet, Braathen, Littlewort, Smith & Movellan, Advances in Neural Information Processing Systems 15 (2003)

"An approach to automatic recognition of spontaneous facial actions" Bartlet, Braathen, Littlewort, Smith & Movellan, Conference on Face and Gesture Recognition (2002)

"Computer recognition of facial actions: A study of co-articulation effects" Smith, Bartlet & Movellan, Proceedings of the 8th Symposium on Neural Computation (2001)

"Tip-of-the-Tongue incidence in Spanish-English and Tagalog-English Bilingual" Golan, Acenas, & Smith, 3rd International Symposium on Bilingualism (2001)


"Human insight remains essential to beat the bias of algorithms" Vivienne Ming, The Financial Times (2019)

"Neurotechnologies in the workplace" Vivienne Ming, IHRIM (2019)

"Why I’m turning my son into a cyborg" Vivienne Ming, Quartz (2019)

"Technology to watch in 2018" Vivienne Ming, Nature (2018)

"The Real Reason There Are So Few LGBT Executives" Vivienne Ming, The Advocate (2017)

"Scene from an Office" Vivienne Ming, Techonomy (2016)

"There is a tax on being different" Vivienne Ming, The Financial Times (2016)

"The Workforce of the Future" Vivienne Ming, TEDMed (2016)

"I Built a Superpower to Treat My Son's Diabetes" Vivienne Ming, Aspen Ideas Blog (2016)

"If Kids Were Bonds They’d be the Backbone of the World Economy" Vivienne Ming, Techonomy (2015)

"The paradox of incentive insensitivity" Vivienne Ming, Cornerstone Capital (2015)


"Socos Labs and StartOut Roll Out Inclusion Impact Indexes Survey to All US Entrepreneurs" StartOut, Business Wire (2021)

"Women with Byte: Vivienne Ming’s plan to solve ‘messy human problems’ with A.I." Thor Benson, Digital Trends (2021)

"There Will Never Be an Unbiased AI" Anna Gauto, About Trust (2021)

"Back VC to solve inequalities: Ming" Amanda White, Top 100 Funds (2020)

"Want to Save the Economy? Invest in LGBTQ+ Entrepreneurs, Data Shows" Daniel Reynolds, The Advocate (2020)

"How To Create Change For The Transgender And LGBTQ+ Community In The Workplace" Jennifer Palumbo, Forbes (2020)

"This Neuroscientist's Strategy For Success: Reinvent Yourself Every Seven Years" Forbes (2020)

"Dropout 'mad scientist' uses AI to tackle bias" Hugo Greenhalgh, Thomson Reuters Foundation (2019)

"Vivienne Ming: AI giants ‘too big to be allowed control’" Danny Fotson, The Times (2019)

"Scientist mom inspires “superhuman” race by turning son into a cyborg" Diana Coker, Technowize (2019)

"Vivienne Ming–theoretical neuroscientist and superwoman" Souwieon (2019)

"Vivienne Ming: Build Purpose to Prepare for the Unknown" Adobe 99U (2019)

"Vivienne Ming: ‘The professional class is about to be blindsided by AI’" Rana Foroohar, The Financial Times (2018)

"Prepare For What's Next With Clarity And Purpose" Michael Chavez, Forbes (2018)

"How Good Communication Skills Can Counter Workplace Bias" Brian Honigman, Forbes (2018)

"The Power of Leaders Who Focus on Solving Problems" Deborah Ancona and Hal Gregersen, Harvard Business Review (2018)

"Can an AI-powered bot help parents raise better humans?" Jenny Anderson, Quartz (2018)

"Can an AI-powered bot help parents raise better humans?" Jenny Anderson, Quartz (2018)

"Finding Purpose Through Reincarnations and Transitions" Laura Gao, The Sign (2017)

"Dr Vivienne Ming: Mashing up tech for humans" Claire O’Connell, Silicon Republic (2017)

"Neuroscientist Vivienne Ming Discusses "The Tax On Being Different" And How Big Data Helps Maximize Human Potential" GLC, PR Newswire (2017)

"How Technology will Invade Classrooms" Leslie Nguyen-Okwu, Ozy (2017)

"Fast Forward: Scientist, AI Expert, Entrepreneur Vivienne Ming" Sacha Zimmerman, PCMag (2017)

"At Work in Two Genders" Sacha Zimmerman, The Atlantic (2016)

"Apps That Aim To Give Parents 'Superpowers'" Anya Kemenetz, NPR (2016)

"A scientist calculated the cost of not being a straight man, and she wants a tax cut" Jenny Anderson, Qartz (2016)

"Unconscious Bias Training Doesn't Change Employee Behavior" Leena Rao, Fortune (2015)

"‘I’m Going to Live a New Life'" Candice Helfand-Rogers, The Story Exchange (2015)

"Hiring With Science: Big-Data Brings Better Recruits" Emma Byrne, Forbes (2014)

"Silicon Valley’s Embrace of the Gay and Lesbian Community" Matt Haber, New York Times (2014)

"Building a More Diverse Workforce Through Software" Arik Hesseldahl, Recode (2014)

"Gild Says Algorithms Can Lift People Out Of Poverty" Tom Foremski, ZDnet (2014)

"Your web presence just picked your next job" Luke Dormehl, Wired UK (2014)

"Parenting Techniques from Vivienne and Norma Ming," Compass Learning (2014)

"The Future of Personalized Learning," Compass Learning (2014)

"Down with Divas!" Emma Byrne, Forbes (2014)

"They're Watching You at Work" Don Beck, The Atlantic (2013)

"Vivienne Ming: The Transformative Power of Being Yourself" Adam Sandel, The Advocate (2013)

"Google Glass Developers: We're still flying half blind" Seth Rosenblatt, CNET (2013)

"Your Job, Their Data: The Most Important Untold Story About the Future" Alexis C. Madrigal, The Atlantic (2013)

"All The World's A Resumé: The Facebook Generation Enters The Workforce" Emma Byrne, Forbes (2013)

"Can you see the real me?" Katie Arnold-Ratliff, O Magazine (2013)

"Profiles–Vivienne Ming" Kate Meersschaert, New Learning Times (2013)

"What IT recruiters know about you–whether you're looking or not" Robert L. Mitchell, ComputerWorld (2013)

"Gild: A Solid Solution for Finding Developer Talent" Robert Scoble, Building 43 (2013)

"How big data is playing recruiter for specialized workers" Matt Richtel, New York Times (2013)


"Ignite your AI Curiosity with Vivienne Ming" Beena Ammanath, AI Ignition (2020)

"Vivienne Ming" Charlie Melcher, Future of Storytelling (2020)

"Overcome the Tax on Being Different with Dr. Vivienne Ming" Rhodes Perry, The Out Entrepreneur (2020)

"Robot-Proof Your Career with Mad Scientist Dr. Vivienne Ming" Justin Gignac, Overshare (2020)

"Socos Labs' Vivienne Ming: "I want to build better people."" Danny Fortson, Danny in the Valley (2020)

"Explore the Future of Your Global Mission with Dr. Vivienne Ming" Rhodes Perry, The Out Entrepreneur (2019)

"Helping Humans to Achieve their Fullest Potential with Dr Vivienne Ming" Minter Dial, MDIAL (2019)

"Artificial Intelligence + Government" Justin Milner, Critical Value (2019)

"Vivienne Ming on Solving Human Problems" John Thornhill, FT Tech Tonic (2019)

"Using deep learning to forge a deeper relationship with your children" CBC Spark (2018)

"Dr. Vivienne Ming" Emma Arakelyan, The Business Caring Formula (2018)

"The Tax on Being Different With Dr. Vivienne Ming" Jennifer Brown, The Will to Change (2017)

"Scientist, AI Expert, Entrepreneur, Vivienne Ming" Dan Costa, Fast Forward (2017)

"Dr. Vivienne Ming on Hyperintelligence, Predicting Life Outcomes, the Future of Education, and How We'll Optimize Human Potential" Jonathan Levi, The Superhuman Podcast (2015)

"Vivienne Ming, PhD on Maximizing Human Potential" Robin Zander, The Robin Zander Show (2015)

"Vivienne Ming, Socos & Gild" Kate Meersschaert, EdLab GroundBREAKERS (2014)

"Method to the Madness: Vivienne Ming" Lisa Katovich, KALX (2013)

"Workforce Science" CBC Spark (2013)

"Algorithm Finds Top Programmers, No Resume Required" NPR Here & Now (2013)