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Speaker(s): Professor Naila Kabeer | The Millennium Declaration, signed by over 180 world leaders at the start of the new millennium, committed the international community to targeted achievements on a number of goals by 2015. Along with poverty reduction and human development, these goals included gender equality and women's empowerment. Now, as we draw closer to 2015, there have been worldwide consultations on what will replace the MDG agenda. This lecture will focus on the gender politics of this process: the gender text, and sub-text, of the goals themselves, the extent to which gender advocates and activists were involved in the formulation of the goals, how the goals relate to previous gender-related commitments of the international community, including the Beijing Platform for Action and the Vienna Declaration on human rights and what has been achieved so far. It will conclude by examining how feminist organisations are seeking to influence the post-MDG agenda. Naila Kabeer joins the Gender Institute in October 2013 as professor of Gender and Development. Prior to this, Professor Kabeer has been professor of Development Studies at the School of Oriental and African Studies (SOAS) and professorial fellow at the Institute of Development Studies, Sussex where she worked for many years. She has also worked as a senior research fellow at the Department for International Development, UK between 2009-2010. She was the Kerstin Hesselgren Professor at the University of Goteberg, Sweden in 2004-2005 and senior sabaticant with IDRC Regional Office in South Asia in 2005-2006. Her research interests include gender, poverty, social exclusion, labour markets and livelihoods, social protection and citizenship and much of her research has focused on South Asia. Her publications include Reversed realities: gender hierarchies in development thought, The power to choose: Bangladeshi women and labour supply decision-making in London and Dhaka and, more recently, Gender and social protection in the informal economy. She has carried out extensive training and advisory work with national and international NGOs (including Oxfam, ActionAid, Women for Women International, BRAC, PRADAN and Nijera Kori) as well as for a number of international development agencies (including the UNDP, UNICEF, World Bank, SIDA, NORAD and UN Women). She is currently on advisory editorial committee for the journals Feminist Economics, Development and Change and Gender and Development and she is also on the board of the Feminist Review Trust. Wed, 2 Oct 2013 18:30:00 GMT

Tracking the Gender Politics of the Millennium Development Goals: from the Millennium Declaration to the post-MDG consultations [Audio]

Speaker(s): Dave Trott | Editor's note: This lecture contains explicit language. In this lecture Dave Trott will explain how to out think the competition, and how to use creativity to get upstream and redefine a problem you can’t solve into one you can. Dave Trott is currently chairman of The Gate London. Part of The Gate worldwide, it has offices in New York, Hong Kong, Singapore, Edinburgh and Dublin. As part of the creative team behind ‘Hello Tosh Gotta Toshiba’, ‘Ariston and on and on', the Cadburys Flake ads and many more, Dave’s former agency Gold Greenlees Trott was voted Agency of the Year by Campaign Magazine, and Most Creative Agency in the World by Ad Age in New York. In 2004 he was given the D&AD President’s Award for lifetime achievement in advertising.  He is author of Predatory Thinking: a masterclass in outwitting the competition. Wed, 2 Oct 2013 18:30:00 GMT

Predatory Thinking [Audio]

Speaker(s): Professor Nick Couldry | Professor Couldry challenges some ‘digital age’ myths about how we gather on social media platforms and the value of ‘big data’, and considers the new forms of agency and injustice emerging alongside them. Nick Couldry is professor of media, communications and social theory and author of Media, Society, World. Thu, 21 Nov 2013 18:30:00 GMT

A Necessary Disenchantment: myth, agency and injustice in the digital age [Audio]

Entrepreneur and venture capitalist Ben Horowitz shares which entrepreneurial skills truly matter, and why learning to manage well may be the most critical skill of all. Horowitz, a founding partner of Andreessen Horowitz, discusses the value of learning inside a large company, some of the exciting technology frontiers ahead, and the purpose and philosophy of his firm, in conversation with Stanford Engineering Professor Tom Byers.

Ben Horowitz, Tom Byers - Nailing the Hard Things

The potential to turn messaging into a platform is driving much of the excitement in mobile, says a16z’s Benedict Evans. It's a platform through which other apps flow (and where all the users get aggregated).

Take for example Facebook's recent announcements, which put it right where it wants to be on the mobile phone -- in control. So what’s next in messaging? And what will Apple, Google, and other players like WeChat have to say about it?

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The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Messaging is the Medium

"Machine learning is to big data as human learning is to life experience," says Christopher Nguyen, the co-founder and CEO of big data intelligence company Adatao. Sure, but then, what IS big data? (especially as it's become a buzzword that captures so many things)... 

On this episode of the a16z Podcast, Nguyen puts on his former computer science professor hat to describe 'big data' in relation to 'machine learning' -- as well as what comes next with 'deep learning'. Finally, the former Google exec shares how Hadoop and Spark evolved from the efforts of companies dealing with massive amounts of real-time information; what we need to make machine learning a property of every application (why would we even want to?); and how we can make all this intelligence accessible to everyone.

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The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Making Sense of Big Data, Machine Learning, and Deep Learning

Andreessen Horowitz Managing Partner Scott Kupor and NetSuite CFO Ron Gill get into the weeds on SaaS valuations, and how public and private SaaS companies think differently about the recurring revenue model. Gill and Kupor break down their financial analysis of these kinds of companies -- what metrics matter -- and correct some of the misconceptions about the SaaS business model that even sophisticated investors tend to latch onto. Finally, Kupor offers his advice to private company entrepreneurs who are wondering why, in a public market environment that puts everyone under a microscope, would you ever want to go public?

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The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Why SaaS Revenue is Worth More Than Traditional Software Sales

Quantum computing. The dream of the 1980s is alive in 2015. But this time is different, for a number of reasons. What are the applications, beyond cryptography? And, what’s the point of it all — are the benefits of quantum computing truly going to be a difference of kind vs. of degree? And if so, how will it change what we already know about computers, from languages to coding to UIs to everything?

While it’s counterintuitive for us to imagine something so infinitesimally small, Ilyas Khan of Cambridge Quantum Computing helps us make the quantum leap in our minds … in this special edition of the a16z Podcast, brought to you from London.

a16z Podcast: Quantum Leap

What is A.I. or artificial intelligence but the 'space of possible minds', argues Murray Shanahan, scientific advisor on the movie Ex Machina and Professor of Cognitive Robotics at Imperial College London.

In this special episode of the a16z Podcast brought to you on the ground from London, Shanahan -- along with journalist-turned-entrepreneur Azeem Azhar (who also curates The Exponential View newsletter on AI and more) and The Economist Deputy Editor Tom Standage (the author of several tech history books) -- we discuss the past, present, and future of A.I. ... as well as how it fits (or doesn't fit) with machine learning and deep learning.

But where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.

a16z Podcast: Artificial Intelligence and the 'Space of Possible Minds'

If network effects are one of the most important concepts for software-based businesses, then that may be especially true of data network effects -- a network effect that results from data. Particularly given the prevalence of machine learning and deep learning in startups today.

But simply having a huge corpus of data does not a network effect make! So how can startups ensure they don't get a lot of data exhaust but get insight out of and add value to that data and the network? How can they make sure that the (arguably inevitable) data aspect of their business isn't just a sideshow or accident? How should founders strike the balance between not overbuilding/ building a data team vs. having enough data for those data scientists to work with in the first place? And finally, what are the ethical considerations of all this?

The a16z general partners most focused on bio and fintech -- Vijay Pande and Alex Rampell -- join this episode of the a16z Podcast to share their observations and advice on all things data network effects.

a16z Podcast: Data Network Effects

The a16z Podcast discusses tech and culture trends, news, and the future -- especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This podcast is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!