Podcasts about microsoft research new england

In this episode of ACM ByteCast, Bruke Kifle hosts ACM Fellow and ACM Distinguished Service Award recipient Jennifer Chayes, Dean of the College of Computing, Data Science, and Society at UC Berkeley. Before joining Berkeley, she co-founded the Theory Group at Microsoft Research Redmond and later founded and led three interdisciplinary labs: Microsoft Research New England, New York City, and Montreal. Her research areas include phase transitions in CS, structural and dynamical properties of networks including graph algorithms, and applications of ML. Jennifer is one of the inventors of the field of graphons, widely used for the ML of large-scale networks. Her recent work includes generative AI and ML theory in areas like cancer, immunotherapy, climate change, and ethical decision making, with more than 150 scientific papers authored and 30 patents she co-invented. Her honors and recognitions include the Anita Borg Institute Women of Vision Leadership Award, SIAM's John von Neumann Lecture Award (the highest honor bestowed by SIAM), and election to the American Academy of Arts and Sciences and the National Academy of Sciences. She serves on numerous boards and advisory committees and has served on the ACM A.M. Turing Award Selection Committee. Jennifer shares her early experience as the child of Iranian immigrants, dropping out of high school and learning to embrace risk. She describes her journey from being a pre-med biology major to a PhD in mathematical physics, and how her love of theory and an interest in interdisciplinary work led her to start a Theory Group at Microsoft Research. She also relates how her later interest in economics and game theory led to the founding of Microsoft Research New England, and highlights some of her work there. She and Bruke talk about the challenges she has navigated throughout her career, and how that has influenced her approach to interdisciplinary research. Jennifer also shares her vision and goals for the College of Computing, Data Science, and Society at UC Berkeley. Finally, she opines on the skills needed for future leaders in computing, some of the urgent problems of our time, and offers some advice to young computing professionals.

Katrin Tiidenberg is a Professor of Participatory Culture at the Baltic Film, Media, Arts and Communication School at Tallinn University in Estonia. She has held fellowships at Durham University, Aarhus University and Microsoft Research New England. Katrin's research focuses on the hows and whys of people's online and social media practices with a particular emphasis on visuality, sex and political participation. Her research engages the most relevant issues of our day, identity, community, norms and power.How do we present ourselves online? What is normal? Who is in charge? And what happens to sex and to pleasure? She's the author and editor of multiple books on social media and digital cultures and research methods, including Sex and Social Media, Selfies: Why We Love and Hate Them and Metaphors of Internet: Ways of Being in the Age of Ubiquity. https://katrin-tiidenberg.com/The Cluster F Theory Podcast is edited by Julian Mayers at Yada Yada.You can also find us on Apple Podcasts or any other place you listen to your favourite shows.Thank you for reading The Cluster F Theory Podcast. This post is public so feel free to share it. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theclusterftheory.substack.com

Tue, April 5, 5:00PM ET, we, Prof. Aleksander Madry of MIT (see his MIT page at https://people.csail.mit.edu/madry/ and his short bio below) and Prof. Mohammad Hajiaghayi of UMD had an Instagram Live at @mhajiaghayi (in English). We talked about life, MIT admission, citation counts, parenting, Industry vs Academia, advise for high-school students, and hot-topics in DEEP-LEARNING such as adversarial attacks, robust systems, ML Features, Network Flow as well as the intersection of ML and theoretical CS which are Prof. Madry's expertise.BIO: Aleksander Madry is the Cadence Design Systems Professor of Computing at MIT, leads the MIT Center for Deployable Machine Learning as well as is a faculty co-lead for the MIT AI Policy Forum. His research interests span algorithms, continuous optimization, and understanding machine learning from robustness and deployability perspectives.Professor Madry's work has been recognized with a number of awards, including an NSF CAREER Award, an Alfred P. Sloan Research Fellowship, an ACM Doctoral Dissertation Award Honorable Mention, and Presburger Award. He received his PhD from MIT in 2011 and, prior to joining the MIT faculty, he spent time at Microsoft Research New England and on the faculty of EPFL.#MIT#Admission#Citation#Deep#ML#Attack#Robust#Features#NetworkFlow#MLvsTheory#IndustryvsAcademia#Parenting#Highschool#Instagram

We introduce password strength information signaling as a novel, yet counter-intuitive, defense mechanism against password cracking attacks. Recent breaches have exposed billions of user passwords to the dangerous threat of offline password cracking attacks. An offline attacker can quickly check millions (or sometimes billions/trillions) of password guesses by comparing their hash value with the stolen hash from a breached authentication server. The attacker is limited only by the resources he is willing to invest. Our key idea is to have the authentication server store a (noisy) signal about the strength of each user password for an offline attacker to find. Surprisingly, we show that the noise distribution for the signal can often be tuned so that a rational (profit-maximizing) attacker will crack fewer passwords. The signaling scheme exploits the fact that password cracking is not a zero-sum game i.e., the attacker's profit is given by the value of the cracked passwords minus the total guessing cost. Thus, a well-defined signaling strategy will encourage the attacker to reduce his guessing costs by cracking fewer passwords. We use an evolutionary algorithm to compute the optimal signaling scheme for the defender. As a proof-of-concept, we evaluate our mechanism on several password datasets and show that it can reduce the total number of cracked passwords by up to 12% (resp. 5%) of all users in defending against offline (resp. online) attacks. Joint work with Wenjie Bai and Ben Harsha About the speaker: I am an Assistant Professor in Computer Science at Purdue University. Broadly, my research interests include cryptography, data privacy and security. I like to describe myself as a theoretical computer scientist who is interested in applying fundamental ideas from computer science to address practical problems in usable privacy and security. I am especially interested in developing usable and secure authentication protocols for humans. Are there easy ways for humans to create and remember multiple strong passwords? Can we design secure cryptographic protocols that are so simple that can be run by a human? Prior to joining Purdue I completed my PhD on Usable Human Authentication at Carnegie Mellon University where I was fortunate to be advised by Manuel Blum and Anupam Datta. I also spent a year at Microsoft Research New England as a postdoc.

In the world of economics, researchers at Microsoft are examining a range of complex systems—from those that impact the technologies we use to those that inform the laws and policies we create—through the lens of a social science that goes beyond the numbers to better understand people and society. In this episode, Senior Principal Researcher Dr. Hunt Allcott speaks with Microsoft Research New England office mate and Senior Principal Researcher Dr. Greg Lewis. Together, they cover the connection between causal machine learning and economics research, the motivations of buyers and sellers on e-commerce platforms, and how ad targeting and data practices could evolve to foster a more symbiotic relationship between customers and businesses. They also discuss EconML, a Python package for estimating heterogeneous treatment effects that Lewis has worked on as part of the ALICE (Automated Learning and Intelligence for Causation and Economics) project at Microsoft Research. https://www.microsoft.com/research

In the world of economics, researchers at Microsoft are examining a range of complex systems—from those that impact the technologies we use to those that inform the laws and policies we create—through the lens of a social science that goes beyond the numbers to better understand people and society. In this episode, Dr. Hunt Allcott, Senior Principal Researcher at Microsoft Research New England, talks with Dr. Evan Rose, Postdoctoral Researcher, whom Allcott describes as “one of the most engaging and talented researchers in applied microeconomics today.” They’ll discuss how Rose’s experience teaching adult learners at San Quentin State Prison has resonated throughout his research, and they’ll delve into what his and others’ work is uncovering about the criminal justice system today, including the effects of incarceration and parole, impacts of ban-the-box hiring practices, and racial disparities and discrimination. https://www.microsoft.com/research

This episode features a discussion on the challenges of content moderation at scale with four great experts on the the key issues including Tarleton Gillespie, a Principal Researcher at Microsoft Research New England and an Adjunct Associate Professor in the Department of Communication at Cornell University; Kate Klonick, Assistant Professor at Law at St. John's University Law School and an Affiliate Fellow at the Information Society Project at Yale Law School; Jameel Jaffer, the executive director of the Knight First Amendment Institute at Columbia University; and Sarah T. Roberts, Assistant Professor of Information Studies at UCLA. Tech Policy Press fellow Romi Geller and cofounder Bryan Jones discuss news of the day.

Cryptography, the study of finding secure methods of communication, may seem to many of us as, well, cryptic. But in spite of its more theoretical and foundational nature in computing, cryptography is more important now than ever in securing private communication and other types of information that are no longer stored on our own private machines. Professor Yael Kalai of MIT CSAIL and Senior Principal Researcher at Microsoft Research New England is a cryptographer and theoretical computer scientist working on state-of-the-art ways of securing computation. Learn more about Prof. Kalai's at: https://cap.csail.mit.edu/engage/spotlights/yael-kalai?utm_source=souncloud&utm_medium=social%20media&utm_campaign=yael_kalai_spotlight Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Video%20Edit%20II%20.pdf

In this episode of our Money Reimagined podcast, Sheila Warren and Michael Casey speak with two outside-the-box thinkers on their ideas for improving governance. Quadratic Voting and Open AuctionsOne of our guests was Glen Weyl, the political economist and Principal Researcher at Microsoft Research New England, who co-authored the book “Radical Markets” with University of Chicago Law School professor Eric Posner. We chose to focus on just two of the many ideas that that book puts forward. One is quadratic voting, which allows people not only to vote for or against a particular issue but to express how strongly they hold that view by buying extra votes – up to a certain limit of assigned credits. The cost in credits of each additional vote increases by a quadratic formula. It's designed to help small groups of voters who care deeply about particular issues while still constraining them from overly skewing results.Weyl has also worked on a variation of the concept with Ethereum founder Vitalik Buterin called quadratic funding, which in theory could diminish the influence of wealthy “whales” in voting systems that are based on financial holdings or contributions. The second big idea we explored is that of perpetual open auctions. Here, every bit of property, including what we might otherwise think of as public property, is owned by private entities with the proviso that it is always up for auction and that the majority of the value created from it is shared equally among citizens as a social dividend. Weyl and Posner argue that such an arrangement would incentivize owners to manage the property well, and that the wider distribution of wealth creation would give a greater number of people the wherewithal to start businesses. It would also be easier to develop land for infrastructure, such as high-speed rail lines, because the developer could easily acquire it. Both of these ideas are rooted more in legal and process innovation than in software and distributed computing per se. But they intersect nicely with concepts associated with the crypto and blockchain space. One is the potential for self-sovereign identity models to prevent people from gaming quadratic voting. Another is the potential enhancements that smart contracts, non-fungible token-based property, and decentralized finance (DeFi) concepts such as automated market-making might bring to open auctions. Also, quadratic funding might fix free-rider problems in blockchain projects, Buterin believes. Smart taxationOur other guest was Jeff Saviano, the global lead of tax innovation at EY. He is a member of the Prosperity Collaborative, within which organizations such as the World Bank, MIT Media Lab's Connection Sciences lab and the New America Foundation are working with governments to improve transparency and efficiency in the collection and distribution of taxes. Saviano talks of how blockchain-based tracing systems might not only give taxpayers a transparent view of how their taxes are being spent but also incorporate programmability. For example, the actual, uniquely identified dollars that you contribute could be channeled directly and transparently into identifiable services that immediately benefit you and your community. Or, governments could use smart contracts to put hard constraints on those dollars, so only certain categories of expenditure, and not others, are enabled.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In our weekly Money Reimagined podcast, Sheila Warren and I talked to two outside-the-box thinkers on their ideas for improving governance. Quadratic Voting and Open AuctionsOne of our guests was Glen Weyl, the political economist and Principal Researcher at Microsoft Research New England, who co-authored the book “Radical Markets” with University of Chicago Law School professor Eric Posner. We chose to focus on just two of the many ideas that that book puts forward. One is quadratic voting, which allows people not only to vote for or against a particular issue but to express how strongly they hold that view by buying extra votes – up to a certain limit of assigned credits. The cost in credits of each additional vote increases by a quadratic formula. It’s designed to help small groups of voters who care deeply about particular issues while still constraining them from overly skewing results.Weyl has also worked on a variation of the concept with Ethereum founder Vitalik Buterin called quadratic funding, which in theory could diminish the influence of wealthy “whales” in voting systems that are based on financial holdings or contributions. The second big idea we explored is that of perpetual open auctions. Here, every bit of property, including what we might otherwise think of as public property, is owned by private entities with the proviso that it is always up for auction and that the majority of the value created from it is shared equally among citizens as a social dividend. Weyl and Posner argue that such an arrangement would incentivize owners to manage the property well, and that the wider distribution of wealth creation would give a greater number of people the wherewithal to start businesses. It would also be easier to develop land for infrastructure, such as high-speed rail lines, because the developer could easily acquire it. Both of these ideas are rooted more in legal and process innovation than in software and distributed computing per se. But they intersect nicely with concepts associated with the crypto and blockchain space. One is the potential for self-sovereign identity models to prevent people from gaming quadratic voting. Another is the potential enhancements that smart contracts, non-fungible token-based property, and decentralized finance (DeFi) concepts such as automated market-making might bring to open auctions. Also, quadratic funding might fix free-rider problems in blockchain projects, Buterin believes. Smart taxationOur other guest was Jeff Saviano, the global lead of tax innovation at EY. He is a member of the Prosperity Collaborative, within which organizations such as the World Bank, MIT Media Lab’s Connection Sciences lab and the New America Foundation are working with governments to improve transparency and efficiency in the collection and distribution of taxes. Saviano talks of how blockchain-based tracing systems might not only give taxpayers a transparent view of how their taxes are being spent but also incorporate programmability. For example, the actual, uniquely identified dollars that you contribute could be channeled directly and transparently into identifiable services that immediately benefit you and your community. Or, governments could use smart contracts to put hard constraints on those dollars, so only certain categories of expenditure, and not others, are enabled.

Joseph Torres, Free Press' Senior Director of Strategy and Engagement, advocates in Washington to ensure that our nation's media policies serve the public interest, and builds coalitions to broaden the movement's base. Joseph writes frequently on media and internet issues and is the co-author of The New York Times bestseller News for All the People: The Epic Story of Race and the American Media. He is the 2015 recipient of the Everett C. Parker Award, which recognizes an individual whose work embodies the principles and values of the public interest. Before joining Free Press, Joseph worked as deputy director of the National Association of Hispanic Journalists and was a journalist for several years.Angèle Christin is an assistant professor in the Department of Communication at Stanford University. She studies how algorithms and analytics transform professional values, expertise, and work practices. Her book, Metrics at Work: Journalism and the Contested Meaning of Algorithms (Princeton University Press, 2020) focuses on the case of web journalism, analyzing the growing importance of audience data in web newsrooms in the U.S. and France. Drawing on ethnographic methods, Angèle shows how American and French journalists make sense of traffic numbers in different ways, which in turn has distinct effects on the production of news in the two countries. Angèle is currently a Visiting Researcher with the Social Media Collective at Microsoft Research New England. She is an affiliate at Data & Society Research Institute.danah boyd is the founder and president of Data & Society and a partner researcher at Microsoft Research. Her research is focused on making certain that society has a nuanced understanding of the relationship between technology and society, especially as issues of inequity and bias emerge. She is the author of It's Complicated: The Social Lives of Networked Teens, and has authored or co-authored numerous books, articles, and essays. She is a trustee of the National Museum of the American Indian, a director of the Social Science Research Council, and a director of Crisis Text Line. She has been recognized by numerous organizations, including receiving the Electronic Frontier Foundation's Pioneer/Barlow Award and being selected as a 2011 Young Global Leader of the World Economic Forum. Originally trained in computer science before retraining under anthropologists, danah has a Ph.D. from the University of California at Berkeley's School of Information.

Hashtag Activism Black Lives Matter is the epitome of ‘hashtag activism.’ #BLM is a native social media activist movement that started on the internet and builds support for itself there. #BLM combines traditional protest with online activism, allowing people to express support on social media without necessarily going to a protest. This has proven to reveal wide-spread support for #BLM, amplifying and mainstreaming the group’s cause. Low overhead actions like retweets, Instagram stories, and Facebook posts helped the movement grow meaningfully. Politicians on Social Media Lawmakers are increasingly turning to social media as a campaign strategy. The most successful congressmembers, like Alexandria Ocasio-Cortez, are able to humanize themselves, put forth policies, connect with constituents, and build a broader base of support. Others, such as Democratic presidential candidate Joe Biden, have struggled to gain a solid footing online. The COVID-19 pandemic has intensified the need for a powerful social media presence, which has been challenging for new candidates who cannot capitalize on in-person events to grow their online following.  Social Media and Politics Social media has opened up new ways to participate in politics. Previously, gate-keeping legacy media controlled most of the coverage surrounding politics. Users can now directly analyze and interpret world events, policies, and politics. Unfortunately, social media also accounts for a vast array of misinformation, disinformation, and hyper partisanship. While social media can make us feel more involved and optimistic about what’s possible in demanding accountability and good governance, it can also feel overwhelming to be inundated with an endless stream of bad news. Find out more: Alice E. Marwick is Associate Professor of Communication and a Principal Researcher at the Center for Information Technology and Public Life at the University of North Carolina at Chapel Hill, where she researches the social, political, and cultural implications of popular social media technologies. Marwick is also a Faculty Advisor to the Media Manipulation project at the Data & Society Research Institute, which studies far-right online subcultures and their use of social media to spread misinformation.  Her first book, Status Update: Celebrity, Publicity and Branding in the Social Media Age (Yale 2013), draws from ethnographic fieldwork in the San Francisco tech scene to examine how people seek social status through attention and visibility online. Marwick was formerly Director of the McGannon Communication Research Center and Assistant Professor of Communication and Media Studies at Fordham University, and a postdoctoral researcher in the Social Media Collective at Microsoft Research New England. You can follow her on Twitter @alicetiara.

Dr. Niall Docherty has recently completed his PhD at the Centre for Critical Theory, University of Nottingham, and will be pursuing his postdoctoral research within the Social Media Collective, Microsoft Research New England. His thesis examines the material and discursive construction of Facebook’s ideal users, linking normative designations of “healthy” usership to neoliberal histories of governance through habit. Niall has a BA in Politics and an MA in Cultural Studies from Goldsmiths, University of London, specialising in political theory, Modern philosophy and governmentality studies. Interviewed by Dr. Alex Curmi - Give feedback here - podcast@maudsleylearning.com - Follow us here: Twitter @maudsleypodcast Instagram @maudsleylearningpodcast

Podcast Description “A lot of these schools don’t even have instructors, right. A lot them are project-based…it’s just like, ya know, figure it out by yourself.” Dr. Kate M. Miltner is a TRAIN@Ed Postdoctoral Fellow at the Moray House School of Education and Sport, University of Edinburgh. She received her PhD from the Annenberg School for Communication and Journalism at the University of Southern California, and she has a MSc in Media and Communications (Merit) from the London School of Economics and Political Science and a BA in English from Barnard College, Columbia University.  She has had research appointments in the Research department at Twitter and the Social Media Collective at Microsoft Research New England. Her research agenda focuses on the intersection of technology, social location, and structural power and her research has previously been featured in Wired, Slate, The Atlantic, The Guardian, Time, and the BBC. Additional Resources The Tech Leavers Study Twitter Dr. Kate Miltner Become a #causeascene Podcast sponsor because disruption and innovation are products of individuals who take bold steps in order to shift the collective and challenge the status quo. Learn more > All music for the #causeascene podcast is composed and produced by Chaos, Chao Pack, and Listen on SoundCloud. Listen to more great #causeascene podcasts full podcast list >

In this episode of #AmeerApproved I sit down with Joshua Gans to talk about his new book INNOVATION + EQUALITY. All innovation entails uncertainty; there's no way to predict which new technologies will catch on. Therefore, rather than betting on the future of particular professions, we should consider policies that embrace uncertainty and protect people from unfavorable outcomes. To this end, they suggest policies that promote both innovation and equality. If we encourage innovation in the right way, our future can look more like the cheerful techno-utopia of Star Trek than the dark techno-dystopia of The Terminator. Get access to all my weekly content, episodes, live events, and business-related updates http://tiny.cc/3p9mcz Listen on Itunes http://tiny.cc/fwtvcz Sticher http://tiny.cc/so9mcz Google Podcast http://tiny.cc/dekncz Spotify http://tiny.cc/fxtvcz Guest: https://www.joshuagans.com/innovation-equality Joshua Gans is a Professor of Strategic Management and holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto (with a cross appointment in the Department of Economics). Joshua is also Chief Economist of the University of Toronto's Creative Destruction Lab. Prior to 2011, he was the foundation Professor of Management (Information Economics) at the Melbourne Business School, University of Melbourne and prior to that he was at the School of Economics, University of New South Wales. In 2011, Joshua was a visiting researcher at Microsoft Research (New England). Joshua holds a Ph.D. from Stanford University and an honors degree in economics from the University of Queensland. In 2012, Joshua was appointed as a Research Associate of the NBER in the Productivity, Innovation and Entrepreneurship Program. At Rotman, he teaches MBA students entrepreneurial strategy. He has also co-authored (with Stephen King and Robin Stonecash) the Australasian edition of Greg Mankiw's Principles of Economics (published by Cengage), Core Economics for Managers (Cengage), Finishing the Job (MUP), Parentonomics (New South/MIT Press) and Information Wants to be Shared (Harvard Business Review Press) and The Disruption Dilemma (MIT Press, 2016); Scholarly Publishing and its Discontents (2017) and Prediction Machines: The Simple Economics of Artificial Intelligence (HBR Press, 2018). His most recent book is Innovation + Equality (MIT Press, 2019). In 2007, Joshua was awarded the Economic Society of Australia’s Young Economist Award. In 2008, Joshua was elected as a Fellow of the Academy of Social Sciences, Australia. Details of his research activities can be found here. In 2011, Joshua (along with Fiona Murray of MIT) received a grant for almost $1 million from the Sloan Foundation to explore the Economics of Knowledge Contribution and Distribution. In 2017, Joshua won the Roger Martin Award for Research Excellence at the Rotman School of Management. In 2019, Joshua was awarded the PURC Distinguished Service Award from the Public Utility Research Center at the University of Florida for his contributions to regulatory economics. On the consulting side, Joshua is managing director of Core Economic Research and an Academic Associate with The Brattle Group. In the past, Joshua has worked with several established consulting firms including London Economics, Frontier Economics and Charles River Associates. He has also been retained by the Australian Competition and Consumer Commission and the Federal Trade Commission where he worked on expert testimony in several abuse of market power cases as well as on issues in telecommunications network competition. Overall his consulting experience covers energy (gas and electricity markets), telecommunications, financial services and banking, pharmaceuticals and rail transport.   Blog http://www.Ameerrosic.com Twitter http://www.Twitter.com/ameerrosic Instagram http://www.Instagram.com/ameerrosic   #JoshuaGans

Dalida María Benfield, Ph.D. (Panamá/US) is an artist, filmmaker, writer, curator, and educator. She is the cofounder and Research and Program Director of the Center for Arts, Design and Social Research (CAD+SR), a non-profit international research center. Her work engages and produces decolonial feminisms, media, networks, and aesthetics, and she is a longtime organizer of autonomous cultural and educational platforms. Her most recent activities include organizing the CAD+SR artist/researcher residencies "Commonplaces and Entanglements (after Edouard Glissant)" in Spoleto, Italy; exhibiting in "Stateless Mind," Sörte Firkant and Lanterna Magica, Copenhagen; and co-editing a special issue of the feminist journal, Frontiers, on "'World-Traveling' and World-Making with Decolonial Feminisms and Women of Color." She is also the co-founder of the Institute of (im)Possible Subjects, a transnational feminist collective of writers, researchers, and artists who curated a year-long series of public interventions, "Migratory Times," (2016-2017) with exhibitions, workshops, and events in the US, the Phillipines, S. Korea, Denmark, Colombia, and an ongoing online platform. Other recent pedagogical engagements include: Co-Chair and Graduate Faculty of the Visual Arts Program at the Vermont College of Fine Arts (2013 - present); Visiting Artist at the Institut de Beaux Arts de Besançon, France (2018); Visiting Artist at the Royal Art Academy, Copenhagen (2018); Visiting Scholar at Microsoft Research New England (2017); Visiting Professor at futuremaking.space at Aarhus University, Denmark (2016-2017); and Faculty Associate and Fellow at the Berkman Klein Center for Internet and Society at Harvard University (2011-2015). Before pursuing her Ph.D., she was a Professor and Chair of the Department of Art Education at the School of the Art Institute of Chicago (1997-2004). Her M.F.A. is from the School of the Art Institute of Chicago and Ph.D. in Comparative Ethnic Studies with Designated Emphasis in Women, Gender, and Sexuality Studies from the University of California-Berkeley. The book mentioned in the interview is by Yuk Hui, The Question Concerning Technology in China: An Essay in Cosmotechnics. losarchivosdelcuerpo[bodyfiles], Huret & Spector Gallery, Emerson College, Boston, MA, US, 2015. An archive of video, photography, drawings, and written and printed texts, and a multi-media interactive art installation, online archive, and tumblr (2013 - ongoing) animated by Dalida María Benfield. First commissioned by Arte Nuevo Interactiva, Mérida, Mexico (2013). With works by Joeser Alvarez (Brazil), Lindsay Benedict (USA), Raul Moarquech Ferrera-Balanquet (Cuba/Mexico/USA), Maria Magdalena Campos Pons (Cuba / USA), Isaac Carrillo (Mexico), Benvenuto Chavajay (Guatemala), Daniel Brittany Chavez (Mexico / USA), Jane Jin Kaisen (Korea/Denmark), Fabiano Kueva (Ecuador), Pedro Pablo Gomez Moreno (Colombia), María C. Lugones (Argentina / USA), Teresa María Díaz Nerio (Dominican Republic / The Netherlands), Robert Ochshorn (USA / Germany), Naomi Elena Ramirez (USA), tammy ko Robinson (S. Korea), Zvonka Simcic (Slovenia), Guston Sondin-Kung (Denmark), Filippo Spreafico (Germany / Italy), and others.

Show Notes: (2:09) Genevieve discussed her undergraduate experience studying Electrical Engineering and Mathematics at the University of Arizona. (3:18) Genevieve talked about her Master’s work in Electrical Machines from the University of Tokyo. (6:59) Genevieve went in-depth about her research work on transverse-flux motor design during her Master’s, in which she won the Outstanding Paper award at ICEMS 2009. (11:39) Genevieve talked about her motivation to pursue a Ph.D. degree in Computer Science at Brown University after coming back from Japan. (14:17) Genevieve shared her story of finding her research advisor (Dr. James Hays) as a graduate student. (18:44) Genevieve discussed her work building and maintaining the SUN Attributes dataset, a widely used resource for scene understanding, during her first year of her Ph.D. degree. (21:52) Genevieve talked about the paper Basic Level Scene Understanding (2013), her collaboration with researchers from MIT, Princeton, and University of Washington to build a system that can automatically understand 3D scenes from a single image. (24:32) Genevieve talked about the paper Bootstrapping Fine-grained Classifiers: Active Learning with a Crowd in the Loop presented at the NIPS conference in 2013, her collaboration with researchers from UCSD and Cal-Tech to propose an iterative crowd-enabled active learning algorithm for building high-precision visual classifiers from unlabeled images. (28:25) Genevieve discussed her Ph.D. thesis titled “Collective Insight: Crowd-Driven Image Understanding.” (34:02) Genevieve mentioned her next career move - becoming a Postdoctoral Researcher at Microsoft Research New England. (36:40) Genevieve talked about her teaching experience for 2 graduate-level courses: Data-Driven Computer Vision at Brown University in Spring 2016 and Deep Learning For Computer Vision at Tufts University in Spring 2017. (38:04) Genevieve shared her 2 advice for graduate students who want to make a dent in the AI/Machine Learning research community. (41:45) Genevieve went over her startup TRASH, which develops computational filmmaking tools for mobile iphono-graphers. (43:45) Genevieve mentioned the benefit of having TRASH as part of the NYU Tandon Future Labs, which is a network of business incubator and accelerators that support early stage ventures in NYC. (45:00) Genevieve talked about the research trends in computer vision, augmented reality, and scene understanding that she’s most interested in at the moment. (45:59) Closing segment. Her Contact Info: Website GitHub LinkedIn Twitter CV Her Recommended Resources: The Trouble with Trusting AI to Interpret Police Body-Cam Video Microsoft Research Podcast Stanford’s CS231n: Convolutional Neural Networks for Visual Recognition Yann LeCun's letter to CVPR chair after bad reviews on a Vision System that "learnt" features & reviews Paperspace CVPR 2019 Michael Black’s Perceiving Systems Lab at the Max Planck Institute for Intelligent Systems Nassim Taleb’s “The Black Swan”

Show Notes: (2:09) Genevieve discussed her undergraduate experience studying Electrical Engineering and Mathematics at the University of Arizona. (3:18) Genevieve talked about her Master’s work in Electrical Machines from the University of Tokyo. (6:59) Genevieve went in-depth about her research work on transverse-flux motor design during her Master’s, in which she won the Outstanding Paper award at ICEMS 2009. (11:39) Genevieve talked about her motivation to pursue a Ph.D. degree in Computer Science at Brown University after coming back from Japan. (14:17) Genevieve shared her story of finding her research advisor (Dr. James Hays) as a graduate student. (18:44) Genevieve discussed her work building and maintaining the SUN Attributes dataset, a widely used resource for scene understanding, during her first year of her Ph.D. degree. (21:52) Genevieve talked about the paper Basic Level Scene Understanding (2013), her collaboration with researchers from MIT, Princeton, and University of Washington to build a system that can automatically understand 3D scenes from a single image. (24:32) Genevieve talked about the paper Bootstrapping Fine-grained Classifiers: Active Learning with a Crowd in the Loop presented at the NIPS conference in 2013, her collaboration with researchers from UCSD and Cal-Tech to propose an iterative crowd-enabled active learning algorithm for building high-precision visual classifiers from unlabeled images. (28:25) Genevieve discussed her Ph.D. thesis titled “Collective Insight: Crowd-Driven Image Understanding.” (34:02) Genevieve mentioned her next career move - becoming a Postdoctoral Researcher at Microsoft Research New England. (36:40) Genevieve talked about her teaching experience for 2 graduate-level courses: Data-Driven Computer Vision at Brown University in Spring 2016 and Deep Learning For Computer Vision at Tufts University in Spring 2017. (38:04) Genevieve shared her 2 advice for graduate students who want to make a dent in the AI/Machine Learning research community. (41:45) Genevieve went over her startup TRASH, which develops computational filmmaking tools for mobile iphono-graphers. (43:45) Genevieve mentioned the benefit of having TRASH as part of the NYU Tandon Future Labs, which is a network of business incubator and accelerators that support early stage ventures in NYC. (45:00) Genevieve talked about the research trends in computer vision, augmented reality, and scene understanding that she’s most interested in at the moment. (45:59) Closing segment. Her Contact Info: Website GitHub LinkedIn Twitter CV Her Recommended Resources: The Trouble with Trusting AI to Interpret Police Body-Cam Video Microsoft Research Podcast Stanford’s CS231n: Convolutional Neural Networks for Visual Recognition Yann LeCun's letter to CVPR chair after bad reviews on a Vision System that "learnt" features & reviews Paperspace CVPR 2019 Michael Black’s Perceiving Systems Lab at the Max Planck Institute for Intelligent Systems Nassim Taleb’s “The Black Swan”

Melanie is solo this week talking with Anima Anandkumar, a Caltech Bren professor and director of ML research at NVIDIA. We touch on tensors, their use, and how they relate to TensorFlow. Anima also details the work she does with NVIDIA and how they are helping to advance machine learning through hardware and software. Our main discussion centers around AI and machine learning research conferences, specifically the Neural Information Processing Systems conference (commonly referred to as NIPS) and the reason they have rebranded. NIPS originally started as a small conference at Caltech. As deep learning became more and more popular, it grew exponentially. With the higher attendance and interest, the acronym became center stage. Sexual innuendos and harassing puns surrounded the conference, sparking a call for a name change. At first, conference organizers were reluctant to rebrand and they used recent survey results as a reason to keep NIPS. Anima discusses her personal experience protesting the acronym, opening up about the hate speech and threats of which she and others received. Despite the harassment, Anima and others continued to protest, petition, and share stories of mistreatment within the community which helped lead to the name/acronym change to NeurIPS. The rebranding hopes to reestablish an inclusive academic community and move the focus back to machine learning research and away from unprofessional attention. Anima Anandkumar Animashree (Anima) Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization. Anima is the recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum’s Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, O’Reilly media, and so on. Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018. Cool things of the week Taking charge of your data: using Cloud DLP to de-identify and obfuscate sensitive information blog Unlocking what’s possible with medical imaging data in the cloud blog Google makes dataset of 50 million drawings available on its cloud blog Machine learning on machines: building a model to evaluate CPU performance blog Interview Anima at TensorLab site NeurIPS site Petition site Name Change (results of the poll) letter Johns Hopkins University letter letter AI Researchers Fight Over Four Letters article From the Board: Changing our Acronym letter TensorFlow site NVIDIA site Question of the week What are some actions I can take if I’m being trolled, harassed and/or bullied online or I want to be proactive about my safety? If you are experiencing harassment, tell someone who can support you, document it, and assess escalating to authorities depending on the severity. Surveillence Self-Defense Preventing Doxxing Where can you find us next? Mark will be at KubeCon in December. Melanie will be at SOCML this week and NeurIPS next week. She’ll be attending WIML, Black in AI, and LatinX.

2018 marks the 10th anniversary of Microsoft Research New England in Cambridge, Massachusetts, so it’s the perfect time to talk with someone who was there from the lab’s beginning: Technical Fellow, Managing Director and Co-founder, Dr. Jennifer Chayes. But not only does Dr. Chayes run the New England lab of MSR, she also directs two other highly renowned, interdisciplinary research labs in New York City and Montreal, Quebec. Add to that a full slate of personal research projects and service on numerous boards, committees and foundations, and you’ve got one of the busiest and most influential women in high tech. On today’s podcast, Dr. Chayes shares her passion for the value of undirected inquiry, talks about her unlikely journey from rebel to researcher, and explains how she believes her research philosophy – more botanist than boss – prepares the fertile ground necessary for important, innovative and impactful research.

Data & Society welcomes Mike Ananny and Tarleton Gillespie for a conversation with Kate Klonick about the underlying decisions that impact the public's access to media systems and internet platforms. In "Networked Press Freedom: Creating Infrastructures for a Public Right to Hear," Mike Ananny offers a new way to think about freedom of the press in a time when media systems are in fundamental flux. Seeing press freedom as essential for democratic self-governance, Ananny explores what publics need, what kind of free press they should demand, and how today's press freedom emerges from intertwined collections of humans and machines. His book proposes what robust, self-governing publics need to demand of technologists and journalists alike. Tarleton Gillespie's "Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media" investigates how social media platforms police what we post online—and the way these decisions shape public discourse, cultural production, and the fabric of society. Gillespie provides an overview of current social media practices and explains the underlying rationales for how, when, and why “content moderators” censor or promote user-posted content. The book then flips the way we think about moderation, to argue that content moderation is not ancillary to what platforms do, it is essential, definitional, constitutional. And given that, the very fact of moderation should change how we understand what platforms are. Mike Ananny is an associate professor of communication and journalism in the Annenberg School at the University of Southern California (USC), a faculty affiliate with USC's Science, Technology, and Society initiative, and a 2018-19 Berggruen Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford University. Tarleton Gillespie is a principal researcher at Microsoft Research New England and an affiliated associate professor at Cornell University. He co-founded the blog Culture Digitally. His previous book is the award-winning "Wired Shut: Copyright and the Shape of Digital Culture." Kate Klonick is an assistant professor at law at St. John's University Law School and an affiliate at the Information Society Project at Yale Law School, Data & Society, and New America. Her work on networked technologies' effect on the areas of social norm enforcement, torts, property, intellectual property, artificial intelligence, robotics, freedom of expression, and governance has appeared in the Harvard Law Review, Maryland Law Review, New York Times, The Atlantic, Slate, The Guardian and numerous other publications.

Economist Glen Weyl of Microsoft Research New England and Visiting Senior Research Scholar at Yale University talks with EconTalk host Russ Roberts about his book (co-authored with Eric Posner) Radical Markets. Weyl urges a radical transformation of land and housing markets using a new federal real estate tax based on self-assessment. Owners would be required to sell their houses at the self-assessed price. Weyl argues this would eliminate the market power home owners have in the re-sale market and the revenue tax would could be used to reduce inequality. In the last part of the conversation, Weyl proposes an overhaul of U.S. immigration policy by having residents sponsor immigrants for a fee.

Economist Glen Weyl of Microsoft Research New England and Visiting Senior Research Scholar at Yale University talks with EconTalk host Russ Roberts about his book (co-authored with Eric Posner) Radical Markets. Weyl urges a radical transformation of land and housing markets using a new federal real estate tax based on self-assessment. Owners would be required to sell their houses at the self-assessed price. Weyl argues this would eliminate the market power home owners have in the re-sale market and the revenue tax would could be used to reduce inequality. In the last part of the conversation, Weyl proposes an overhaul of U.S. immigration policy by having residents sponsor immigrants for a fee.

Carol is joined by Bloomberg's Lisa Abramowicz and they speak to Scott Mushkin, Managing Director of Consumer Research at Wolfe Research, on why he dislikes Walmart buying India's biggest online seller Flipkart. Julie Johnsson, Bloomberg News Aerospace Reporter, explains how the U.S. exiting the Iran nuclear deal is impacting planemakers. Glen Weyl, Principal Researcher at Microsoft Research New England, and Peter Coy, Bloomberg Businessweek Economics Editor, discuss the book “Radical Markets: Uprooting Capitalism and Democracy for a Just Society"Eric Newcomer, Bloomberg News Startup Reporter, talks about the Uber Elevate conference in Los Angeles. And we Drive to the Close with David McKnight, President at David McKnight & Co. Learn more about your ad-choices at https://www.iheartpodcastnetwork.com

Carol is joined by Bloomberg’s Lisa Abramowicz and they speak to Scott Mushkin, Managing Director of Consumer Research at Wolfe Research, on why he dislikes Walmart buying India’s biggest online seller Flipkart. Julie Johnsson, Bloomberg News Aerospace Reporter, explains how the U.S. exiting the Iran nuclear deal is impacting planemakers. Glen Weyl, Principal Researcher at Microsoft Research New England, and Peter Coy, Bloomberg Businessweek Economics Editor, discuss the book “Radical Markets: Uprooting Capitalism and Democracy for a Just Society"Eric Newcomer, Bloomberg News Startup Reporter, talks about the Uber Elevate conference in Los Angeles. And we Drive to the Close with David McKnight, President at David McKnight & Co.

In the last few years breaches at organizations like Yahoo!, Dropbox, Lastpass, AshleyMadison and Adult FriendFinder have exposed billions of user passwords to offline brute-force attacks. Password hashing algorithms are a critical last line of defense against an offline attacker who has stolen password hash values from an authentication server. An attacker who has stolen a user's password hash value can attempt to crack each user's password offline by comparing the hashes of likely password guesses with the stolen hash value. Because the attacker can check each guess offline it is no longer possible to lockout the adversary after several incorrect guesses. The attacker is limited only by the cost of computing the hash function. Offline attacks are increasingly commonplace and dangerous due to weak password selection and improved cracking hardware such as a GPU, Field Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC). A secure password hashing algorithm should have the properties that (1) it can be computed quickly (e.g., at most one second) on a personal computer, (2) it is prohibitively expensive for an attacker to compute the function millions or billions of times to crack the user's password even if the attacker uses customized hardware. The first property ensures that the password hashing algorithm does not introduce an intolerably long delay for the user during authentication, and the second property ensures that an offline attacker will fail to crack most user passwords. Memory hard functions (MHFs), functions whose computation require a large amount of memory, are a promising cryptographic primitive to enable the design of a password hashing algorithm achieving both goals. The talk will introduce and motivate the notion of memory hard functions and survey recent advances in the theory of MHFs. These results include (1) an attack on the Argon2i MHF, winner of the password hashing competition, which could reduce an amortized costs for a password attacker, (2) security lower bound for SCRYPT MHF and (3) construction of the first provably secure data-independent memory hard function. About the speaker: Jeremiah Blocki is an Assistant Professor in Computer Science at Purdue University. Jeremiah completed his PhD on Usable Human Authentication at Carnegie Mellon University under the supervision of Manuel Blum and Anupam Datta. Prior to joining Purdue he also spent a time at Microsoft Research New England as a postdoc and as a research fellow at the Simon's Institute for the Theory of Computing. Professor Blocki has made fundamental contributions to the theory of memory hard functions --- an important cryptographic primitive which can be used to protect low entropy secrets such as passwords against brute force attacks. Broadly, his research interests include cryptography, usable authentication, passwords, differential privacy, game theory and learning theory. One of his more ambitious research goals is to develop cryptographic protocols that are so simple that a human could execute them without receiving assistance from a trusted computer.

John Malone has been called the "swamp alligator", the "cable cowboy" and "Darth Vader". He's worth several billion dollars and he's one of the few people to put one over Rupert Murdoch. But you've probably never heard of him. Well, John Malone is buying up more and more of UK television. So it's time we got to know him better. Matthew Garrahan is the global media editor of the Financial Times and has met the media mogul. He tells us what John Malone is up to. National newspaper online sites are being accused of copying and rewriting each other's work - as process known as "ripping" - rather than coming up with original stories. We hear from Dominic Ponsford, editor of the Press Gazette, freelance journalist Marie Le Conte and Christian Broughton, editor of the Independent nwespaper. Social media platforms, especially Facebook and YouTube, are criticised for distributing content deemed to be offensive. Whether it's images of violence or bullying, or examples of hate speech or extremist propaganda, the process of moderating what's acceptable really matters. There's evidence that it's getting harder to keep up with the sheer volume of material. Some members of Youtube's Trusted Flagger programme - volunteers who monitor content on the video-sharing website - say there is a large backlog of complaints, specifically about child protection. So how are these sites moderated? And who does it? We hear from two experts who have closely studied the field and spoken to online moderators - Tarleton Gillespie, a principal researcher in this area at Microsoft Research New England, and Sarah Roberts assistant professor with the Department of Information Studies at the University of California. Presenter: Julian Worricker Producer: Paul Waters.

We hear from Jennifer Tour Chayes '78, Distinguished Scientist and Managing Director of Microsoft Research New England and Microsoft Research New York. "It’s really important to always be talking about what you’re passionate about…I’m always looking for somebody whose [story] is deeply engaging."

Chris Sacca, activist investor, recently argued that Black Twitter IS Twitter. For example, African American usage of the service often dominates user metrics in the United States, despite their minority demographic numbers as computer users. This talk by André Brock unpacks Black Twitter use from two perspectives: analysis of the interface and associated practice alongside discourse analysis of Twitter’s utility and audience. Using examples of Black Twitter practice, Brock offers that Twitter’s feature set and ubiquity map closely onto Black discursive identity. Thus, Twitter’s outsized function as mechanism for cultural critique and political activism can be understood as the awakening of Black digital practice and an abridging of a digital divide. André Brock is an Assistant Professor of Communication Studies at the University of Michigan. Brock is one of the preeminent scholars of Black cyberculture. His work bridges Science and Technology Studies and Critical Discourse Analysis, showing how the communicative affordances of online media align with those of Black communication practices. Through December 2016, he is a Visiting Researcher with the Social Media Collective at Microsoft Research New England.

A typical computer user today manages passwords for many different online accounts. Users struggle with this task ---often forgetting their passwords or adopting insecure practices, such as using the same passwords for multiple accounts and selecting weak passwords. Before we can design good password management schemes it is necessary to address a fundamental question: How can we quantify the usability or security of a password management scheme? In this talk we will introduce quantitative usability and security models. Notably, our user model, which is based on research on human memory about spaced rehearsal, allows us to analyze the usability of a large family of password management schemes while experimentally validating only the common user model underlying all of them. We argue that these quantitative models can guide the development of usable and secure password management schemes. In support of our argument we present Shared Cues, a simple password management scheme in which the user can generate many strong passwords after memorizing a few randomly generated stories. Our password management schemes are precisely specified and publishable: the security proofs hold even if the adversary knows the scheme and has extensive background knowledge about the user (hobbies, birthdate, etc.).This talk is based on joint work with Manuel Blum and Anupam Datta References:http://arxiv.org/abs/1302.5122http://arxiv.org/pdf/1410.1490v1.pdf About the speaker: At a high level Professor Blocki describes himself as "a theoretical computer scientist who is interested in applying fundamental ideas from computer science to address practical problems in usable privacy and security." He is especially interested in developing usable authentication protocols for humans. Are there easy ways for humans to create and remember multiple strong passwords? Can we design secure cryptographic protocols that are so simple that can be run by a human? Jeremiah has also developed algorithms for conducting privacy preserving data analysis in several different application settings including social networks and password data. Prior to joining Purdue Jeremiah completed his PhD on Usable Human Authentication at Carnegie Mellon University under the supervision of his advisors Manuel Blum and Anupam Datta. He also spent a year at Microsoft Research New England as a postdoc.

The Internet has been both a blessing and a curse for musicians, allowing them to spread their work widely but also making them more susceptible to harmful, unlawful copying. Legal scholar Jessica Silbey moderates a conversation with Nancy Baym, Principal Researcher for Microsoft Research New England; Jean Cook, Co-director of the Artist Revenue Streams project; and musician-composer and activist Maria Schneider about alternative models that benefit consumers and artists alike.

In episode twenty two we talk with Adam Kalai of Microsoft Research New England about his work using crowdsourcing in Machine Learning, the language made of shapes of words, and New England Machine Learning Day. We take a look at the workshops being presented at NIPS this year, and we take a listener question about changing the number of features your data has.

In episode eighteen we talk with Sham Kakade, of Microsoft Research New England, about his expansive work which touches on everything from neuroscience to theoretical machine learning. Ryan introduces us to active learning (great tutorial here) and we take a question on evolutionary algorithms. Today we're announcing that season two of Talking Machines is moving into development, but we need your help! In order to raise funds, we've opened the show up to sponsorship and started a Kickstarter and we've got some great nerd cred prizes to thank you with. But more than just getting you a totally sweet mug your donation will fuel journalism about the reality of scientific research, something that is unfortunately hard to find. Lend a hand if you can!

Recent provocations (boyd and Crawford, 2011) about the role of "big data" in human communication research and technology studies deserve an outline of the value of anthropology, as a particular kind of "big data". Mary L. Gray, Senior Researcher at Microsoft Research New England and Associate Professor of Communication and Culture at Indiana University, will walk through the different dimensions of social inquiry that fall under the rubric of "big data". She argues for attending to different dimensions rather than scales of data, more collaborative approaches to how we arrive at what we (think we) know, and critical analysis of the cultural assumptions embedded in the data we collect. By moving from the "snapshot" of quantitative work to the "time-lapse photography" of ethnography, she suggests that researchers must imagine "big data" as an on-going process of modeling, triangulation, and critique. Gray's current research includes work on ethnographically-informed social media research, compliance cyberinfrastructures in universities and their impact on emerging media research, online labour, and the importance of location and place in the context of mobile technologies. Her book Out in the Country: Youth, Media, and Queer Visibility in Rural America examined how youth in rural parts of the United States fashioned "queer" senses of gender and sexual identity and the role that media--particularly internet access--played in their lives and political work.

Social media have transformed relationships between those who create artistic work and those who enjoy it. Culture industries such as the music recording business have been left reeling as fans have gained the ability to distribute amongst themselves and artists have gained the ability to bypass traditional gatekeepers such as labels. The dominant rhetoric has been of ‘piracy,’ yet there are other tales to tell. How does direct access to fans change what it means to be an artist? What rewards are there that weren’t before? How are relational lines between fans and friends blurred and with what consequences? What new challenges other than making a living do artists face? Nancy Baym is a Principal Researcher at Microsoft Research New England. She is the author of Personal Connections in the Digital Age (Polity), Internet Inquiry (co-edited with Annette Markham, Sage) and Tune In, Log On: Soaps, Fandom and Online Community (Sage). For the last two years she has been interviewing musicians about their relationships with audiences.

Experts on media and technology examined how Millennials are seeking, sharing and creating information. Panelists were: Danah Boyd, Microsoft Research New England and Harvard University's Berkman Center for Internet & Society; Dylan Casey, product manager, Google; Amanda Lenhart, senior research specialist, Pew Internet & American Life Project; and Tom Rosenstiel, director, Pew Research Center's Project for Excellence in Journalism.

Danah Boyd, Researcher at Microsoft Research New England, Fellow at Harvard University Berkman Center for Internet and Society Learn more at http://www.leweb.net

danah boyd is a researcher at Microsoft Research New England and a Fellow at the Harvard University Berkman Center for Internet and Society. She recently completed her PhD in the School of Information at the University of California-Berkeley.Dr. boyd’s dissertation “Taken Out of Context: American Teen Sociality in Networked Publics” focused on how American youth use networked publics for sociable purposes. She examined the role that social network sites like MySpace and Facebook play in everyday teen interactions and social relations. She was interested in how mediated environments alter the structural conditions in which teens operate, forcing them to manage complex dynamics like interacting before invisible audiences, managing context collisions, and negotiating the convergence of public and private life. This work was funded by the MacArthur Foundation as part of a broader grant on digital youth and informal learning.At the Berkman Center, danah co-directed the Internet Safety Technical Task Force to work with companies and non-profits to identify potential technical solutions for keeping children safe online. This Task Force was formed by the U.S. Attorneys General and MySpace and is being organized by the Berkman Center.Dr. boyd received a bachelor’s degree in computer science from Brown University and a master’s degree in sociable media from MIT Media Lab. She has worked as an ethnographer and social media researcher for various corporations, including Intel, Tribe.net, Google, and Yahoo! She also created and managed a large online community for V-Day, a non-profit organization working to end violence against women and girls worldwide. She has advised numerous other companies, sits on corporate, education, and non-profit advisory boards, and regularly speaks at industry conferences and events.danah maintains a blog on social media called Apophenia.

danah boyd is a researcher at Microsoft Research New England and a Fellow at the Harvard University Berkman Center for Internet and Society. She recently completed her PhD in the School of Information at the University of California-Berkeley.Dr. boyd’s dissertation “Taken Out of Context: American Teen Sociality in Networked Publics” focused on how American youth use networked publics for sociable purposes. She examined the role that social network sites like MySpace and Facebook play in everyday teen interactions and social relations. She was interested in how mediated environments alter the structural conditions in which teens operate, forcing them to manage complex dynamics like interacting before invisible audiences, managing context collisions, and negotiating the convergence of public and private life. This work was funded by the MacArthur Foundation as part of a broader grant on digital youth and informal learning.At the Berkman Center, danah co-directed the Internet Safety Technical Task Force to work with companies and non-profits to identify potential technical solutions for keeping children safe online. This Task Force was formed by the U.S. Attorneys General and MySpace and is being organized by the Berkman Center.Dr. boyd received a bachelor’s degree in computer science from Brown University and a master’s degree in sociable media from MIT Media Lab. She has worked as an ethnographer and social media researcher for various corporations, including Intel, Tribe.net, Google, and Yahoo! She also created and managed a large online community for V-Day, a non-profit organization working to end violence against women and girls worldwide. She has advised numerous other companies, sits on corporate, education, and non-profit advisory boards, and regularly speaks at industry conferences and events.danah maintains a blog on social media called Apophenia.