Spectrum

KALX 90.7FM - UC Berkeley

Spectrum was a program that aired on KALX from 2011 to 2014. Spectrum explored scientific research and technology development through interviews with leading practitioners at UC Berkeley and throughout the San Francisco Bay Area. Transcriptions of these programs are coming soon. If you are interested in a transcription of a particular episode, please contact us at mail at kalx dot berkeley dot edu. Hosted on Acast. See acast.com/privacy for more information.

  1. Bruce Ames and Rhonda Patrick, Part 2 of 2

    07/11/2014

    Bruce Ames and Rhonda Patrick, Part 2 of 2

    Bruce Ames Sr Scientist at CHORI, and Prof Emeritus of Biochem and Molecular Bio, at UC Berkeley. Rhonda Patrick Ph.D. biomedical science, postdoc at CHORI in Dr. Ames lab. The effects of micronutrients on metabolism, inflammation, DNA damage, and aging. Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Okay. [inaudible] [inaudible].  Speaker 1:        Welcome to spectrum the science and technology show [00:00:30] on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news.  Speaker 3:        Hi there. My name is Renee Rao and I'll be hosting today's show this week on spectrum. We present part two of our two interviews with Bruce Ames and Rhonda Patrick. Dr Ames is a senior scientist at Children's Hospital, Oakland Research Institute, director of their [00:01:00] nutrition and metabolism center and a professor emeritus of biochemistry and molecular biology at the University of California Berkeley. Rhonda Patrick has a phd in biomedical science. Dr. Patrick is currently a postdoctoral fellow at Children's Hospital, Oakland Research Institute and Dr Ames lab. She currently conducts clinical trials looking at the effects of nutrients on metabolism, inflammation, DNA damage and aging. In February of 2014 she published [00:01:30] a paper in the Federation of American Societies for Experimental Biology Journal on how vitamin D regulates serotonin synthesis and how this relates to autism. In part one Bruce and Rondo described his triage theory for micronutrients in humans and their importance in health and aging. In part two they discussed public health risk factors, research funding models, and the future work they wish to do. Here is part two of Brad Swift's interview with Dr Ames [00:02:00] and Patrick.  Speaker 4:        Is there a discussion going on in public health community about this sort of important that Rhonda, that one,  Speaker 5:        I think that people are becoming more aware of the importance of micronutrient deficiencies in the u s population. We've got now these national health and examination surveys that people are doing, examining the levels of these essential vitamins and minerals. 70% of the populations not getting enough vitamin D, 45% [00:02:30] population is not getting enough magnesium, 60% not getting enough vitamin K, 25% is not getting enough vitamin CS, 60% not getting enough vitamin E and on and on, 90% not getting enough calcium testing. It's very difficult to get. So I think that with these surveys that are really coming out with these striking numbers on these micronutrient deficiencies in the population, I'm in the really widespread and with triage, the numbers that tell you may be wrong because the thinking short term instead of long term, really what you want to know  Speaker 6:        [00:03:00] is what level [inaudible] indeed to keep a maximum lifespan. And our paper discussed all at and uh, but I must say the nutrition community hasn't embraced it yet, but they will because we're showing it's true and we may need even more of certain things. But again, you don't want to overdo it. Okay.  Speaker 4:        So talk a little bit about risk factors in general. In health, a lot of people, as you were saying, are very obsessed with chemicals or so maybe their risk assessment is [00:03:30] misdirected. What do you think are the big health issues, the big health risks?  Speaker 6:        I think obesity is like smoking. Smoking is eight or 10 years off your life. Each cigarette takes 10 minutes off your life. I mean, it's a disaster and smoking levels are going down and down because people understand. Finally, there's still a lot of people smoke, but obesity is just as bad years of expensive diabetes and the costs can be used. [00:04:00] Whatever you look at out timers of brain dysfunction of all sites is higher in the obese and there's been several studies of the Diet of the obese and it's horrible. I mean it's sugar, it's comfort food and they're not eating fruits and vegetables and the not eating berries and nuts and not eating fish. And so it's doing the main and the country is painful.  Speaker 5:        I think that the biggest risk in becoming unhealthy and increasing your [00:04:30] risk of age related diseases, inflammatory diseases comes down to micronutrient intake and people are not getting enough of that. And we know that we quantified it, we know they're not getting enough. And so I think that people like to focus on a lot of what not eat, don't eat sugar and that's right. You shouldn't eat a lot of sugar. I mean there's a lot of bad effects on, you know, constantly having insulin signaling activated. You can become insulin resistant in type two diabetic and these things are important. But I think you also need to realize you need to focus on what you're not getting as opposed to only focusing on what you should not [00:05:00] be getting. Yeah,  Speaker 6:        a colleague, lowest scold, and I wrote over a hundred papers trying to put risk in perspective. That part to been in pesticide is really uninteresting. Organic food and regular food doesn't matter. It's makes you feel good, but you're really not either improving the environment or helping your health. Now that you're not allowed to say that, things like that in Berkeley. But anyway, it's your diet. You should be worried about getting a good balanced time. So if you put out a thousand [00:05:30] hypothetical risks, you're lost space. Nobody knows what's important anymore and that's where we're getting. Don't smoke and eat a good diet. You're way ahead of the game and exercise and exercise. Right. Speaker 4:        And in talking about the current situation with funding, when you think back Bruce, in the early days of your career and the opportunities that were there for getting funding vastly  Speaker 6:        different. [00:06:00] Well, there was much less money in the system, but I always was able to get funded my whole career and I've always done reasonably well. But now it's a little discouraging when I think I have big ideas that are gonna really cut health care costs and we have big ideas on obesity and I just can't get any of this funded [inaudible] but now if you're an all original, it's hopeless putting it at grant, [00:06:30] I just have given up on it.  Speaker 5:        Well the ANA, the NIH doesn't like to fund.  Speaker 6:        Yeah. If you're thinking differently than everybody else you do and they're only funding eight or 9% of grants, you just can't get funded. I didn't want to work on a 1% so I'm funding it out of my own pocket with, I made some money from a biotech company of one my students and that's what's supporting my lamb and few rich people who saw potential gave me some money. But it's really tough [00:07:00] now getting enough money to do this. That's an interesting model. Self funding. Well, Rhonda is trying to do that with a, she has a blog and people supporting her in,  Speaker 5:        I'm trying to do some crowdfunding where instead of going to the government and then all these national institute of cancer, aging, whatever, which essentially uses taxpayer dollar anyways to fund research. I'm just going to the people, that's what I'm trying to do. My ultimate goal is to go to the people, tell them about this research I'm doing and [00:07:30] my ideas how we're going to do it and have them fund it. People are willing to give money to make advances in science. They just need to know about it. What did you tell him what your app is? So, so I have an app called found my fitness, which is the name of my platform where I basically break down science and nutrition and fitness to people and I explained to them mechanisms. I explained to them context, you know, because it's really hard to keep up with all these press releases and you're bombarded with and some of them are accurate and some aren't and most of the time you just have no idea what is going on.  Speaker 5:        It's very [00:08:00] difficult to sort of navigate through all that mess. So I have developed a platform called found my fitness where I'm trying to basically educate people by explaining and breaking down the science behind a lot of these different types of website. And it's an app, it's a website that's also an app can download on your iPhone called found my fitness. And I have short videos, youtube videos that I do where I talk about particular science topics or health nutrition topics. I also have a podcast where I talk about them. I'm interviewing other scientists in the field and things like that. And also I've got a news community site [00:08:30] where people can interact posts, new news, science stories or nutrition stories, whatever it is and people comment. So we're kind of building in community where people can interact and ask questions and  Speaker 6:        Rhonda makes a video every once in a while and puts it up on her website and she has people supporting at least some of this and she hopes to finally get enough money coming in. We'll support her research.  Speaker 5:        No, I think we're heading that way. I think that scientists are going to have to find Speaker 6:        new creative ways to fund their research. Uh, particularly if they have creative ideas [00:09:00] is, Bruce mentioned it because it's so competitive to get that less than 10% funding. The NIH doesn't really fun, really creative and risky, but it's, you need somebody who gets it. If when you put out a new idea, right, and if it's against conventional wisdom, which I'd like to do with the occasion arises, then it's almost impossible anyway.  Speaker 4:        Even with your reputation.  Speaker

    30 min
  2. Bruce Ames and Rhonda Patrick, Part 1 of 2

    06/27/2014

    Bruce Ames and Rhonda Patrick, Part 1 of 2

    Dr. Ames is a Senior Scientist at Children’s Hospital Oakland Research Institute, director of their Nutrition & Metabolism Center, and a Professor Emeritus of Biochemistry and Molecular Biology, at the University of California, Berkeley. Rhonda Patrick has a Ph.D. in biomedical science. Dr. Patrick is currently a postdoctoral fellow at Children’s Hospital Oakland Research Institute with Dr. Ames. Bruce Ames Sr Scientist at CHORI, and Prof Emeritus of Biochem and Molecular Bio, at UC Berkeley. Rhonda Patrick Ph.D. biomedical science, postdoc at CHORI in Dr. Ames lab. The effects of micronutrients on metabolism, inflammation, DNA damage, and aging. Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Mm mm mm  Speaker 3:        [inaudible]. Speaker 1:        Welcome to spectrum the science and technology show on k a l x [00:00:30] Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news [inaudible].  Speaker 4:        Good afternoon. My name is Rick Karnofsky. I'm the host of today's show. This week on spectrum we present part one of a two part interview with our guests, Bruce Ames and Rhonda Patrick. Dr Ames is a senior scientist at Children's Hospital, [00:01:00] Oakland Research Institute, director of their nutrition and metabolism center and a professor Ameritas of biochemistry and molecular biology at UC Berkeley. Rhonda Patrick has a phd in biomedical science. Dr. Patrick is currently a postdoctoral fellow at Children's Hospital, Oakland Research Institute in Dr Ames. His lab, she currently conducts clinical trials looking at the effects of [00:01:30] micronutrients on metabolism, inflammation, DNA damage and aging. Here's Brad swift and interviewing doctors, aims and Patrick Bruce  Speaker 5:        Ames and Rhonda Patrick, welcome to spectrum. Thank you very much. Sue, can you help us understand the term micronutrient and briefly explain what they do? Sure.  Speaker 6:        About 40 substances you need in your diet and [00:02:00] you get it from eating a really well balanced style, get them more about eight or 10 of them are essential amino acids. So they're required for making your all your protein. And then there are about 30 vitamins and minerals, roughly 15 minerals in 15 five minutes. So you need the minerals, you need iron and zinc and calcium and magnesium and all these things, you know, and the vitamins [00:02:30] and minerals are coenzymes. So you have 20,000 genes in your body that make proteins, which are enzymes that do bio or Kimiko transformations. And some of them require coenzymes, maybe a quarter of them. So some require magnesium and they don't work unless there's a magnesium attached to the particular pace in the enzyme. And some of them require vitamin B six which is something called [00:03:00] paradoxal, goes through a coenzyme paradox of phosphate.  Speaker 6:        And that's an a few hundred and enzymes and they make your neurotransmitters and other things. And if you don't get any one of these 40 substances, you'd die. But how much we need is, I think there's a lot of guesswork in there and we have a new idea I can talk about later that shakes a lot up puppet. And so when your research, you're trying to measure these [00:03:30] micronutrients obviously, well people can measure them in various ways. Somebody can just measure in blood and say, ah, you have enough vitamin D or you don't have enough vitamin D. But some, for example, calcium and magnesium marine, your bones, but they're also used for all kinds of enzymes and if you get low, the tissue might get low, but you keep your plasma up because you're taking it out of the bone. So just measuring [00:04:00] plasma isn't useful in that case.  Speaker 6:        But anyway, there, uh, each one is a little different. Do you want to talk about the triage theory? Okay, I could talk to about that. Now. Some years ago we kept on finding when we had human cells in culture or mice, that when we left out various vitamins and minerals or didn't have enough, we got DNA damage. I'm an expert in DNA damage and we're interested in how [00:04:30] to prevent DNA damage. We sat leads to cancer and so I kept on wondering why is nature doing this when you're not getting enough of magnesium or iron or zinc, you getting DNA damage and then one day it hit me. I, that's just what nature wants to do. Through all of evolution, we'd been running out of vitamins and minerals. The minerals aren't spread evenly through the soil. The red soils with a lot of iron and the souls that have very little iron.  Speaker 6:        [00:05:00] Selenium is a required mineral, but there's soils with too much saline and we get poisoned. And then the areas where it, you don't have enough selenium so you get poisoned. So it's a little tricky. Back in 2006 I had this idea that nature must do a rationing when you start getting low on any vitamin or mineral, and how would you ration it? The proteins that are essential for survival get it first and the ones that are preventing [00:05:30] some insidious damage that shows up as cancer in 10 years or calcification in the arteries. That's the [inaudible] papers, those proteins lucid. And I call this triage ship. It's a French word for dividing up those wounded soldiers that the doctors can make a difference on. So anyway, I publish this with what data? That wasn't the literature, but it wasn't completely satisfactory. We didn't, hadn't really nailed it, but it was an idea.  Speaker 6:        And then Joyce McCain [00:06:00] in my lab wrote two beautiful reviews, one on selenium and one on vitaminK , and they both fit beautifully. And people who work in these fields had shown that the clotting factors get it first because you don't get your blood clotting and you cut yourself every week or two, you'd just bleed to death. But the price you pay is you don't make the protein that prevents calcification of the arteries so [00:06:30] people can die of calcification the arteries. But that takes 10 years. So when nature has to face keeping alive now so you can reproduce or you're getting calcification arteries in 10 years, it does this tradeoff. And also you don't have enough vitamin K. My ptosis doesn't work quite as accurately. So you'll lose the chromosome here or there and you get cancer in 10 years. But again, it's the trade off between short term survival and longterm health.  Speaker 6:        It all [00:07:00] makes perfect sense. It was a very plausible theory. That's why I came out with it. But it's true for vitaminK  and the mechanism used in vitaminK  is different than the mechanism and sleeping. So each system has developed a different mechanism for doing this racially. And so that changes our view of vitamins and minerals base. You're paying a price every time. You're a little low on one with them. So it's the disease of aging. So basically when you should have any vitamin or mineral, [00:07:30] it accelerates your aging in some way. You can accelerate some kind of insidious damage. And we're talking about huge numbers of people. 70% of the population is low in vitamin D and we're talking about magnesium, what we said the third 45% 45% these are big numbers and they're cheap boldly saying  Speaker 7:        [inaudible] Speaker 8:        [00:08:00] you are listening to spectrum on a l x, Berkeley. Today's guests are Dr. Bruce Ames and Dr Rhonda Patrick  Speaker 9:        with the micronutrients and the activity of DNA, RNA. Talk about the effect there, the impact, is there more to talk about that? Absolutely. So there are many different micronutrients [00:08:30] that are required for functions in your body that involve DNA replication involved DNA repair, preventing DNA damage. Things are all very important because we're making 100 billion new cells every day to make a new cell, we have to replicate the entire genome of that cell to make the daughter cell. And that requires a whole holster of enzymes. So if you don't have enough magnesium for those DNA polymerase to work properly, when ends up happening is that their fidelity is [00:09:00] lessen, meaning they don't work as well and they're gonna likely make more errors in that DNA replication that they're performing. And if they can't repair that error, then when ends up happening is that you can get every rotation and depending on whether that mutation has any functional consequences, sort of random, but the more times as occurs, then the more chances you're having of getting a mutation that can, you know, something that's not good and can either cause cell death or it can also [00:09:30] be something that causes dysregulation of the way your genes are expressed.  Speaker 9:        So it's very important to make sure you have the right co factors such as magnesium for DNA replication, also in your mitochondria and your mitochondrial DNA. When you make new Mitochondria, this is called mitochondrial biogenesis. It's an important mechanism to boost the number of mitochondria per cell. And this can occur during things like exercise when your mitochondria also have their own genome and they have to replicate this genome. Well guess what? Those mitochondrial [00:10:00] DNA were preliminaries. This also require magnesium. And so if there's not enough magnesium around, you're not making your mitochondria as optimal as you could be in Mitochondria. Play an important role in every single process in your body, including, you know, neuronal function. So that's really important to make sure that your Mitochondria Hobby. Also, this is very relevant for things like aging. These micronutrients like vitamin D gets converted into a steroid hormone that regulates the expression of over a thousand genes in [00:10:30]

    30 min
  3. Mathias Craig, Part 2 of 2

    05/30/2014

    Mathias Craig, Part 2 of 2

    Mathias Craig, Co-Founder and Exec. Dir. of Blue Energy. Blue Energy is a not for profit, NGO working in Caribbean coastal communities of Eastern Nicaragua to help connect them to energy, clean water, sanitation and other services. Blueenergygroup.org Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Okay. [inaudible] [inaudible].  Speaker 3:        Welcome to spectrum the science and technology show on k l x Berkeley, a biweekly [00:00:30] 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of loads  Speaker 1:        [inaudible] and news.  Speaker 4:        Hi listeners, my name is Brad Swift. I'm the host of today's show this week on spectrum. We present part two of two with our guests, Mathias Craig Co, founder and executive director of Blue Energy. Blue Energy is a nonprofit nongovernmental organization working among the Caribbean coastal communities of [00:01:00] eastern Nicaragua to help connect them to energy, clean water, sanitation, and other essential services. Monte has, Craig is an engineer by training from UC Berkeley and MIT. He talks about what he and blue energy have learned about adapting and localizing technology through projects they undertake with remote isolated communities. Monte has also talks about the future of applied technologies and blue energy in developing areas. Here is part two. [00:01:30] As you work with the technologies that you choose from, how much are you changing those technologies? Are you able to feed back to the people who are actually manufacturing and designing those things?  Speaker 1:        When we started the organization, we thought of ourselves as sort of a technology creator. When we started working with small scale wind power locally manufactured small scale wind turbines, you know, we were early pioneers in that working with the earliest pioneers like Hugh Pigott, as I had mentioned in another group up in [00:02:00] Colorado, went by the name other power. We really saw ourselves as the primary design. We spent a lot of time. We did design workshops, we did a lot of cad drawings and we were really deep into the technology when we thought that technology was going to be 80% of what we could contribute. What we learned a number of years later was that that's not where we can add the most value. There's a lot of people around the world that can work on technology that had better setups and more experience, more resources to throw at the problem, and we needed to leverage [00:02:30] that.  Speaker 1:        That was one key realization. Now, on the other end of the spectrum though, we know that just taking technology from around the world and plugging it in never works. It's a lot of romance about that, but the reality is there's tweaking. There's adaptation that has to take place generally not with a cell phone, not with a pencil against her self-contained units, but with systems. These are systems, not products generally and for that you need adaptation and so we started thinking ourselves as technology [00:03:00] tweakers or packers, hackers or we use the word localize a lot to mean not inventing, but how do you take something that is successful somewhere else in a completely different context or if you get lucky, you find something that's operating in a relatively similar context and you say, okay, what needs to change for that to be effective where we are?  Speaker 1:        We have a ton of examples of this and we found we're very good at this and it's a place where we can add a tremendous amount of value. One example is you have [00:03:30] the mayor's office in Bluefields, which is where we're, we're operationally headquartered there on the Caribbean coast has a lot of requests for latrines to be installed for the communities. It's very poor sanitation in the area. They want to comply with that request. Right now there's thousands of latrine designs out there. How does a severely under-resourced government office figure out which one is going to be appropriate for the local context? The answer is they can't and it's just paralysis there and that's an example of where [00:04:00] we've built very strong partnerships and where we can add a ton of value. We can do that study, we can look at the designs, we can go visit a design in Honduras and check it out and say, oh, this design Central America. Speaker 1:        Certain cultural similarities. Certain cultural differences can be very different environment, so let's try it out, but it seems promising. Let's test it for a year and let's study. Let's study the the decomposition of the waste. Is it working? Is it not working? And we did a pilot a few years ago looking at a solar latrine where [00:04:30] you you use passive solar heating, sort of greenhouse effect to help decompose the waste faster. We thought it was very promising. It didn't work in Bluefields because very high humidity, the rainiest part of the country and it didn't work like in the highlands of Honduras, but we saved a ton of money by studying that for a year rather than going out and building a thousand units because there was demand for latrines, so we did a lot of work on that. We've done that now with the water filters, with the well [00:05:00] drilling techniques and technology done that with cookstoves biodigesters everywhere in the technology portfolio.  Speaker 1:        I'd say we've had a hand in localizing the technology, adapting it and seeing what's going to work and then helping to roll it out slowly. At the end of last year we built our first latrines and built 55 latrines. We'd been studying and working on the trains for over two years. And one of the key elements of being able to do that technology localization are [00:05:30] the students and the international fellows that come work with us on the ground for either short term programs in the summer summer fellows that come in or longer term fellows that come for three months, six months or a year and work with us on adapting the technology. So behind that latrine program of two years, they was, you know, over half dozen students that did research that contributed to their schoolwork on campus and pushed the design forward. [00:06:00] So that's part of our global leadership program. They get the benefit of learning what real technology design is like in the field and learn about that social element that they don't hear about in class generally.  Speaker 1:        And what we get is we get to move along sort of the r and d side of things. And do you have a good relationship with local governments? Is that one of the things you try to cultivate? Yes, and I think that's something that sets us apart from a lot of nonprofit organizations in development, [00:06:30] generally speaking, but also in Nicaragua's, we've chosen to engage the government directly. The government in some form is what is going to be there and is representative of the people's will in some form. There's always challenges and just like we have in this country about how representative is it, et Cetera, but at the end of the day, it's the ultimate authority in the region and so if you choose to go around it and not engage it as many organizations do, we feel that you severely [00:07:00] limit the potential for your longterm impact. So we engage directly. Speaker 1:        It's not always easy and we engage at different levels. We engage the national government. We have an office in Managua and the capital city where we're in constant contact with the ministries, with all levels of national governments. We engage there over on the coast. We engage with the regional government. We engage with the indigenous and creole territorial governments. It's a semi-autonomous region. [00:07:30] It's a very complex governance structure in the country, but we engage at all those levels. To discover what their plans are, to help build capacity where we can, you know, we learn and we teach. And then in the best cases to coordinate, you know, we've done a project with the Ministry of Health. We work with the Ministry of Health, the local nurse. We designed an energy system, install it, the Ministry of Health puts in the vaccine freezer and fills it with medicine and we both train the nurse. Well now that is a very [00:08:00] challenging collaboration to manage, but it leads to very big impact if you're willing to do it the right way.  Speaker 1:        You know, one of our strongest partners is the municipal office of Bluefields, the municipal government, the mayor and his staff where we're collaborating on a number of initiatives both within the city of Bluefields and the surrounding communities around water and sanitation, around building a biodigester for the slaughter house so that all that animal waste will cease to be dumped into the river untreated [00:08:30] and will actually become a useful byproduct of methane for cooking. And how many may oriel administrations have you dealt with in the Bluefield? There's been sort of three that we've worked with. Nicaragua is a highly polarized country, politically even more so than the United States. You know, we like to think where the extreme example, but not even close. When you look at the world that Greg was highly political and highly polarized. And when I say highly political, meaning that many [00:09:00] government functions and the services that they deliver are dictated by political affiliations.  Speaker 1:        So the risk of engaging as we do is that you end up on one side or the other and we're on the side of civil society. We want to help strengthen Nicaragua and strengthen the population of Nicaragua regardless of political affiliations. And so in our internal policies, that's very clear. We work with different political parties and in fact we play a very

    30 min
  4. Mathias Craig, Part 1 of 2

    05/16/2014

    Mathias Craig, Part 1 of 2

    Mathias Craig, Co-Founder and Exec. Dir. of Blue Energy. Blue Energy is a not for profit, NGO working in Caribbean coastal communities of Eastern Nicaragua to help connect them to energy, clean water, sanitation and other services. Blueenergygroup.org Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Okay. Welcome to spectrum the science and technology show on k a l ex Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar [00:00:30] of local events and news.  Speaker 3:        Hi and good afternoon. My name is Brad Swift. I'm the host of today's show. This week on spectrum. We present part one of two with our guest Monte as Craig Co founder and executive director of Blue Energy. Blue Energy is a nonprofit nongovernmental organization working among the Caribbean coastal communities of eastern Nicaragua to help connect them to energy, clean water, sanitation, and other essential services. Matiaz Craig is an engineer by training right here at UC Berkeley. [00:01:00] He talks about what he and blue energy have learned about applying and localizing technology through projects that they undertake with remote isolated communities. Give a listen to part one. Monte has. Craig, welcome to spectrum. Thank you for having me. How were you initially drawn to technology?  Speaker 1:        It started really early for me. I was a tinkerer. I always thought that I would be an inventor when I was young. So I think the, the attraction came, came super early and [00:01:30] then when I studied here at UC Berkeley in civil and environmental engineering, I started getting exposed to technology. Just sort of took it from there.  Speaker 3:        When was it that you started down this path of connecting technology with sustainability and equitable development?  Speaker 1:        So I started thinking about that again while I was here at UC Berkeley, I had the opportunity to take a number of classes in the energy and resource group with Professor Richard Norgaard and Dan Cayman, which was really inspirational [00:02:00] for me. And I started to see renewable energy in particular as an opportunity to use technology in a green, sustainable way. And also I liked the international element of it, but this is a global issue around the environment and also around issues of energy and water. And it was easy to see how they could fit together. I think it really started here. And then in graduate school I was at MIT and I had the opportunity to take a class called entrepreneurship in the developing world with Professor Alex Pentland [00:02:30] over in the media lab and that was my first sort of insight into how I might combine those things. Practically speaking in an organization,  Speaker 3:        when you first started trying to couple those things, energy generation, sustainability, what was the status quo of things?  Speaker 1:        What was the landscape like? What year was it? I started thinking about renewable energy and wind power back in 1999 when I was a student here at Berkeley. It [00:03:00] was a class project in 2002 at MIT and we launched in Nicaragua in 2004 I think the landscape for small wind in particular, which was what drew my interest initially, it was pretty sparse out there. There weren't many organizations doing small scale wind for development. There have been some small scale wind turbine manufacturers in Europe and in the United States for a number of decades on a commercial scale, but they weren't really thinking about emerging markets and how wind [00:03:30] might contribute to rural electrification in those places. And we formed some nice partnerships, one with Hugh Pigott from Scotland who was the original inventor of the wind turbine design that we were using and worked with him for a number of years to add our own contribution to the design and evolve it.  Speaker 1:        And were there other groups in the field that you kind of model yourself after? We didn't really have any models for the small scale wind, but there were some organizations that I looked up to and kept track of [00:04:00] in terms of community development, the how to implement technology in community situations in the developing world in particular, one group was called it DG. It was intermediate technology development group. It's now called practical action. They've been around since the 60s promoting how do you do responsible development in communities, deploying technology, but thinking about all the other dimensions around that work. And then another group I have a lot of respect for is out of Portland, Oregon, green empowerment. They've worked a lot with practical action as well. [00:04:30] It's a holistic view on how to use technology to create impact, but with a recognition of all the other components that have to go into that work.  Speaker 1:        And what was the learning curve like for you and your organization in the early years? Very steep. When we launched the organization, we had a lot of passion, a lot of commitment, a lot of ideas, but we did not have formal business training. Our level of experience in the field, we had some historical experience in Nicaragua, but trying [00:05:00] to launch your organization at work there is quite different than visiting. So I'd say the learning curve was extremely steep. That's been one of the most rewarding parts of this job for the last 10 years is every day I feel like I'm learning something new. And I think in the beginning of the organization we didn't have a very solid structure or a very big organization in terms of number of people. And we've had a lot of turnover over the years. And that's where I think the learning curve remains fairly steep for the institution because you have to [00:05:30] figure out how do you bridge those changes within the organization and how do you document your learning so that you don't have to constantly re learn the same lessons and you get to move on to the next lesson.  Speaker 1:        When we launched the organization, we had no money, no experience, no major backers, no big team, and we really built it from scratch. And I think there's a lot of learning along the way there. What were the biggest challenges in the early days? Well, the challenges have evolved a lot over the 10 years. [00:06:00] In the early days, I would say the biggest challenge was cash. You know, cash flow for an organization is always a critical issue. And I think in the early days when we had actually no financing, that was a huge issue because we weren't able to pay salaries. It was a struggle to scrape together a little bit of money to buy materials. You know that's okay early on. In fact it can be quite healthy for an organization to start that way because it forces you to be very efficient and to think three times about doing anything before you do it.  Speaker 1:        [00:06:30] Finding the talent that you need to tackle something as complex as infrastructure in the kind of region that we're in is very challenging and so you can sometimes attract the talent, but then how do you retain it? And it's not only a money issue, it's not only being able to pay people a fair wage, but it's a very dynamic context, a very dynamic environment. And people come and go. You know, if you invest a lot in training, which is a core part of our philosophy, build local capacity, but then that person moves on, [00:07:00] moves to the u s or you train them well enough that they can be employed in the capitol city and has a bit of a brain drain there. So you can't think of, okay, we're just going to invest a lot in this handful of employees. You fifth think, how are we systematically going to continuously train people that we onboard, retain them as long as we can and maybe help them move on to new bright careers. But I think that turnover issues is a big one.  Speaker 2:        You were listening to spectrum [00:07:30] on KALX Berkeley Co founder and executive director of Blue Energy. All Monte has, Craig is our guests. What's your current  Speaker 1:        assess for going into a new community? How do you do that? I would say we do it very slowly and thoughtfully. Our approaches. We want to pick communities where we think there's a tremendous amount of need, but where there's also we say in Spanish that the contract parties, the, the commitment [00:08:00] from the people we're going to work with, that the solutions that we're providing and building with them are things that they actually want to commit to and invest in. Early on in the organization, it was a bit throwing darts at a board and to where you're going to start, but in the last five, six years it's become much more systematic and we spend a lot of time visiting with communities. Generally how it starts is one of the leaders from the community comes and finds us. Now we have enough of a presence, enough of a reputation [00:08:30] on the coast that we're a known entity and somebody, you know, the leader of a community comes, says, oh, I saw this water project in this other community.  Speaker 1:        We would like that as well and we don't just jump at that. We say, okay, duly noted. Thank you for coming. And then when we're out doing, say maintenance or a service visit in another community, we will stop by that community and have a look and start having the meetings. And it's a long process of getting understand the community at first, sort of informally. And then if we think there's an opportunity actually [00:09:00] going into a project development phase where we're starting to look at what the specific needs are, what are the solutions that we could provide, how might they match? And then doing things like understanding the power dynamics in the community. Okay, this one perso

    30 min
  5. Diana Pickworth

    05/02/2014

    Diana Pickworth

    Archaeologist Dr Diana Pickworth. She is presently a Visiting Scholar in the UC Berkeley Near Eastern Studies Department. Formerly Assoc Prof of Mesopotamian Art and Archaeology and Museum Studies at the University of ‘Aden in the Republic of Yemen. Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Okay. [inaudible].  Speaker 1:        Welcome to spectrum the science and technology show on k [00:00:30] a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news.  Speaker 3:        Hey, good afternoon. My name is Brad Swift. I'm the host of today's show this week on spectrum. Our guest is archaeologist Dr Diana. Pick worth. She is presently a visiting scholar in the UC Berkeley Near Eastern studies department. Dr Pick worth is completing the work related to the publication of two volumes [00:01:00] on excavations carried out by a university of California team at the site of Nineveh in northern Iraq. Formerly she was an associate professor of Mesopotamian art and archeology and museum studies at the University of a sudden in the Republic of Yemen. Diana pick worth is an elected fellow of the explorers club and a member of the American School of Oriental Research. Here is that interview. Hi, this is Brad Swift. In today's spectrum interview, Rick Karnofsky [00:01:30] joins me, Rick [inaudible] and today's guest is Diana. Pick worth Diana, welcome to spectrum.  Speaker 1:        I'm honored and delighted to be here.  Speaker 3:        Diana would you begin by talking about archeology and how it got started and how it's blossomed into its multifaceted current state.  Speaker 1:        There's no doubt that the enlightenment in the 19th century sparked a huge interest [00:02:00] in the eastern part of the Ottoman Empire. And so during this period, the European countries, England, France, Germany, Austria, and Italy, we're sending consoles and ambassadors to visit the Parshah and Istanbul. What happened was these countries became competitive in their desire, both the land and knowledge. And this was fueled somewhat by [00:02:30] Darwin's research and in 1830 his work on the Beagle and subsequently his publication of origin of species spoked enormous questions about the Bible. And it was this desire to understand the truth about the Bible. It had been viewed up until that point is a given that it was correct [00:03:00] and it challenged the world view at the time. And avast and I think changing Manoj and so layered from England, Botha from foams moved east of Istanbul into northern Iraq. And what we see is these two men really pitching at each other to stake a claim for that country to excavate in there tells that they [00:03:30] both discovered in the appetite risk space on and is that how the Fertile Crescent got started?  Speaker 1:        That whole idea of Fertile Crescent, that was a little later, but the Fertile Crescent represents an area where settlement could first begin and so the ice Asya hat is really a points on a map. It's a way of looking at how [00:04:00] geography, rainfall, and natural geographic circumstances create a circumstance where humankind can prosper and it can farm in what is called dry farming. And so what we find, it's an all running up from about the middle of their Dead Sea on the Palestinian literal all the way up in a circle across the top of what [00:04:30] is today, northern Syria and northern Iraq. Those sites date from as early as 9,000 BC and there's no doubt that's where we are. We all finding humankind's first farming and settlement currently. Then what's notable about the transition from the 19th or the 20th century in terms of archeology? I think on the one hand a tremendous continuity so [00:05:00] that those sites that would claimed in the 19th century tend to still be excavated by the same country.  Speaker 1:        There's an unspoken but still I think quite rigorous concept that a site is handed on. The perspective has become much more global so that we have people excavating in the Middle East, from South Africa, [00:05:30] from South America, from the United States, and these teams in most we would call the new world are essentially funded or sponsored by their universities. That still remains in the European countries. A tradition of sponsorship by the government and this makes a huge difference. They are able to continue with a very shore knowledge of funding [00:06:00] year after year. You talked a little bit about the Fertile Crescent. What are other examples of old settlements? What's the oldest settlement? I think in photo Cresson, certainly one of the most remarkable sites is Choteau here. And this was excavated by the University of California by Ruth Traynham and has some of the earliest illustrative material and [00:06:30] war paintings in that area. And representative, uh, no doubt of the earliest farming settlements. And it's a dense occupation. Surprisingly, there are dense a little later we see sites that we defined by this ceramic heritage, so at this point we have new written documentation but how suna and hello laugh of these very early pottery sites that are named [00:07:00] essentially from the first site, but we find a spread of occupation across the area. Further east, I'm a hindered Daro 2,900 BC is in what is modern day Pakistan and without doubt one of the earliest settlements  Speaker 4:        [inaudible] Speaker 5:        you were listening to spectrum on k a l experts like archaeologist, [00:07:30] Diana [inaudible] is our guest.  Speaker 1:        How closely does archaeological training in universities track with the real world application of archeology? I think in many cases very well. One of the requirements of an archeologist above all others I think is flexibility and sturdy resilience, but there are three aspects we're trained theoretically [00:08:00] and this I think is where to refer back to your earlier question. There is a change from 19th century archeology today. We're trained to pose a theoretical question to come up with a hypothesis that we will try to test on the ground. I think an area background knowledge is essential training varies in this regard. For example, [00:08:30] in Germany, archeologists are expected to work all over the world whereas we tend to direct our training two area studies say that my area Mesopotamia and Arabian studies really requires a basis of language study under knowledge of the history of the area and so one becomes a specialist in a particular area.  Speaker 1:        The practical training [00:09:00] is fairly consistent. I think we begin in in the states, the students are sent in the summers to excavations and throughout their graduate career it's hope they'll have an opportunity to really work in different types of sites and all of us begin or hope to with a semester in a field archeology school so that ones practicing perhaps in a situation where one can't cause too much [00:09:30] damage within the United States field of study, how much might one drift from their graduate area into another area of the world as they start their career? That's an interesting question. In my experience, people do really tend to stay within their area of specialization. We're talking about as much as maybe six to eight years of a language study. The geography and the history of an area [00:10:00] becomes embedded in one's training and in one's doctoral dissertation, so I personally don't think there is such a broad shift.  Speaker 1:        I think theoretically once capable, there's absolutely no doubt and we find also that students who find themselves not to have strong language studies tend to move into pre history. If you're working in pre history, then really one can go anywhere. It doesn't matter. [00:10:30] There are loopholes in the system, some of the technical methods that are being applied to dating things. Does that mess up the history of it all, the timing, the dating, a lot of the earlier work, does it get overturned in terms of how old is this settlement? I think DNA has made an enormous, perhaps the most significant difference and whole groups of people have been shown to not be native to where [00:11:00] they have claimed in their own written literature that they've always left that spin. I think a delightful surprise, very interesting surprise. Certainly high and duel found that everyone going to the Polynesian islands was going in 150 degrees opposite direction from what he had anticipated.  Speaker 1:        So we do find that as time passes, the studies can be refined, but I would say it's rather a question [00:11:30] of refinement than are there just totally wrong assumptions. Can I call it it all about what proportion of work is done on newly found settlements, settlements that might've been found in the past couple years versus settlements that we've known about for some time? I think the introduction of Google and satellite imagery has made a vast difference to what we can do most recently in [00:12:00] a northeast Iraq in what is now the Kurdish settlement. Recent work by Harvard has discovered an enormous number of settlements and all of the previous research before they went into the field was done using satellite imagery and so that was unavailable until quite recently. It saves money. There's no doubt with satellite imagery. We can sit in an office in Berkeley and look at the satellite [00:12:30] sites surrounding a large site. We can see a pattern perhaps of movement along a track through mountain ranges from settlement, so that's enormously expanded. What we can do in the office before we go into the field. [inaudible]  Speaker 6:        spectrum is a public affairs show on KALX Berkeley. Our guest is

    30 min
  6. Cathryn Carson & Fernando Perez, Part 2 of 2

    04/18/2014

    Cathryn Carson & Fernando Perez, Part 2 of 2

    Cathryn Carson is an Assoc Prof of History, and the Ops Lead of the Social Sciences D- Lab at UC Berkeley. Fernando Perez is a research scientist at the Henry H. Wheeler Jr. Brain Imaging Center at U.C. Berkeley. Berkeley Institute for Data Science. Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Mm MM.  Speaker 3:        Uh Huh [inaudible].  Speaker 4:        [00:00:30] We'll come to spectrum the science and technology show on Katie l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events.  Speaker 3:        [inaudible]. Speaker 1:        Hello and good afternoon. My name is Renee Rao and I'll be hosting today's show this week [00:01:00] on spectrum present part two of our two part series on big data at cal. The Berkeley Institute for data science bids is only four months old. Two people involved with shaping the institute are Catherine Carson and Fernando Perez. They are today's guest Catherine Carson is an associate professor of history and associate dean of social sciences and the operational lead of the social sciences data lab at UC Berkeley for Nana Perez is a research scientist at the Henry H. Wheeler [00:01:30] Jr Brain imaging center at UC Berkeley. He created the iPod iPhone project while he was a graduate student in 2001 and continues to lead the project today. In part two they talk about teaching data science. Brad Swift conducts the interview  Speaker 5:        on the teaching side of things. Does data science just fold into the domains in the fields and some faculty embrace it, others don't. How does the teaching of data science move [00:02:00] forward at an undergraduate level? Yeah, there there've been some really interesting institutional experiments in the last year or two here at Berkeley. Thinking about last semester, fall of 2013 stat one 57 which was reproducible collaborative data science pitched at statistics majors simply because you have to start with the size that can fit in a classroom [00:02:30] and training students in the practices of scientific collaboration around open source production of software tools or to look at what was Josh Bloom's course, so that's astro four 50 it's listed as special topics in astrophysics just because Josh happens to be a professor in the astronomy department and so you have to list it somewhere. The course is actually called Python for science  Speaker 6:        [00:03:00] and it's a course that Josh has run for the last, I think this is, this was its fourth iteration and that course is a completely interdisciplinary course that it's open to students in any field. The examples really do not privilege and the homework sets do not privilege astronomy in any way and we see students. I liked her a fair bit in that course as a guest lecture and we see students from all departments participating. This last semester it was packed to the gills. We actually had problems because we couldn't find a room large enough to accommodate. So word of mouth is working. In terms of students finding these [00:03:30] courses,  Speaker 5:        it's happening. I wouldn't say it's working in part because it's very difficult to get visibility across this campus landscape. I am sure there are innovations going on that even the pis and bids aren't aware of and one of the things we want to do is stimulate more innovation in places like the the professional schools. We'll be training students who need to be able to use these tools as well. What do they have in mind or there [00:04:00] are other formats of instruction beyond traditional semester courses. What would intensive training stretched out over a much shorter time look like? What gaps are there in the undergraduate or graduate curriculum that can effectively be filled in that way? The Python bootcamp is another example of this that's been going on for  Speaker 6:        for about four years. Josh and I teach a a bootcamp on also python for data science that is immediately before the beginning of the fall semester. Literally the weekend before [00:04:30] and it's kind of, it's a prerequisite for the semester long course, but it's three days of intensive hands-on scientific bite on basically programming and data analysis and computing for three days. We typically try to get a large auditorium and we got 150 to 200 people. A combination of undergrads, Grad Students, postdocs, folks from LVL campus faculty and also a few folks from industry. We always leave, leave a few slots available for people from outside the university to come and that one a has been very popular at [00:05:00] tends to, it's intense to have very good attendance be, it serves as an on ramp for the course because we advertise the in the semester course during the bootcamp and that one has been fairly successful so far and I think it has worked well.  Speaker 6:        We see issues with it too. That would be that we would like to address three days is probably not enough. Um, it means because it's a single environment, it means that we have to have examples that are a little bit above that can accommodate everyone, but it means they're not particularly interesting for any one group. It would be, I think it would be great to have [00:05:30] things of this nature that might be a little bit better focused at the life sciences and the social sciences that the physical sciences, so that the examples are more relevant for a given community that may be better targeted at the undergraduate and the graduate level so that you can kind of select a little bit in tune the requirements or the methodological base a little bit better to the audience. But so far we've had to kind of bootstrapping with what we have.  Speaker 6:        There's another interesting course on campus offered by the ice school by Raymond Lecture at the high school called working with open data [00:06:00] that is very much aimed at folks who are the constituency of the high school that have an intersection of technical background with a broader interdisciplinary kind of skills that are the hallmark of the high school and they work with openly available data sets that are existing on the Internet to create basically interesting analysis projects out of them and that's of course that that I've seen come up with some very, very successful and compelling projects at the end of the semester  Speaker 7:        about the teaching and preparation in universities. In [00:06:30] the course of doing interviews on spectrum, a number of people have said that really the only way to tackle sciences interdisciplinary, the big issues of science is with an interdisciplinary approach, but that that's not being taught in universities as the way to do science. Sarah way to break that down using data science as a vehicle.  Speaker 5:        I can speak about that as a science and technology studies scholar. The practice of interdisciplinarity, what makes it actually work is one of the [00:07:00] the most challenging social questions that can be asked of contemporary science and adding into that the fact that scientists get trained inside this existing institution that we've inherited from let's roughly say the Middle Ages with a set of disciplines that have been in their current form since roughly the late 19th century. That is the interface where I expect in the next oh two to five decades major transformations in research universities. [00:07:30] We don't yet know what an institution or research institution will look like that does not take disciplines as it sort of zero order ground level approximation to the way to encapsulate truth. But we do see, and I think bids is like data science in general and an example of this. We do see continual pressure to open up the existing disciplines and figure out how to do connections across them. It's [00:08:00] not been particularly easy for Berkeley to do that in part because of the structure of academic planning at our institution and in part because we have such disciplinary strengths here, but I think the invitation for the future that that word keeps coming back invitation. The invitation for the future for us is to understand what we mean by practicing interdisciplinarity and then figure out how to hack the institution so that it learns how to do it better. [inaudible]  Speaker 8:        [inaudible] [00:08:30] you're listening to structure fun. K A, l ex Berkeley Fasten Kirsten and Fernando Perez are our guests. They're part of the Berkeley Institute for Data Science for Bids [inaudible] Oh,  Speaker 6:        it seems that data science has an almost unlimited [00:09:00] application. Are there, are you feeling limits? I don't know about limits specifically because I think in principle almost any discipline can have some of its information and whatever the concepts and constructs of that discipline can probably be represented in a way that is amicable to quantitative analysis of some sort. In that regard, probably almost any discipline can have a data science aspect to it. I think it's important not to sort of [00:09:30] over fetishize it so that we don't lose sight of the fact that there's other aspects of intellectual work in all disciplines that are still important. That theory still has a role. That model building still has a role that, uh, knowing what questions to ask, it's still important that hypotheses still matter. I'm not so sure that it's so much an issue of drawing arbitrary limits around it, but rather of being knowledgeable and critical users of the tools and the approaches that are offered.  Speaker 6:        Because in terms of domain [00:10:00] applications, I actually recently saw at the strata conference, which is one of these more industry oriented big data conferences t

    30 min
  7. Cathryn Carson & Fernando Perez, Part 1 of 2

    04/04/2014

    Cathryn Carson & Fernando Perez, Part 1 of 2

    Cathryn Carson is an Assoc Prof of History, and the Ops Lead of the Social Sciences D- Lab at UC Berkeley. Fernando Perez is a research scientist at the Henry H. Wheeler Jr. Brain Imaging Center at U.C. Berkeley. Berkeley Institute for Data Science. Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Okay. [inaudible] [inaudible].  Speaker 1:        Welcome to spectrum the science [00:00:30] and technology show on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news.  Speaker 3:        Hi, good afternoon. My name is Brad Swift. I'm the host of today's show this week on spectrum we present part one of our two part series on big data at cal. The Berkeley Institute for Data Science or bids is only [00:01:00] four months old. Two people involved with shaping the institute are Catherine Carson and Fernando Perez and they are our guests. Catherine Carson is an associate professor of history and associate dean of social sciences and the operational lead of the social sciences data lab at UC Berkeley. Fernando Perez is a research scientist at the Henry H. Wheeler Jr Brain imaging center at UC Berkeley. He created the ipython project while a graduate student in 2001 [00:01:30] and continues to lead the project here is part one, Catherine Carson and Fernando Perez. Welcome to spectrum. Thanks for having us and I wanted to get from both of you a little bit of a short summary about the work you're doing now that you just sort of your activity that predates your interest in data science.  Speaker 4:        Data Science is kind of an Ale defined term I think and it's still an open question precisely what it is, but in a certain sense all of my research has been probably under the umbrella [00:02:00] of what we call today data science since the start. I did my phd in particle physics but it was computational in particle physics and I was doing data analysis in that case of models that were competitionally created. So I've sort of been doing this really since I was a graduate student. What has changed over time is the breadth of disciplines that are interested in these kinds of problems in these kinds of tools and that have these kinds of questions. In physics. This has been kind of a common way of working on writing for a long time. Sort of the deep intersection [00:02:30] between computational tools and large data sets, whether they were created by models or collected experimentally is something that has a long history in physics.  Speaker 4:        How long the first computers were created to solve differential equations, to plot the trajectories of ballistic missiles. I was one of the very first tasks that's computers were created for so almost since the dawn of coats and so it's really only recently though that the size of the data sets has really jumped. Yes, the size has grown very, [00:03:00] very large in the last couple of decades, especially in the last decade, but I think it's important to not get too hung up on the issue of size because I think when we talk about data science, I like to define it rather in the context of data that is large for the traditional framework tools and conceptual kind of structure of a given discipline rather than it's raw absolute size because yes, in physics for example, we have some of the largest data sets in existence, things like what the LHC creates [00:03:30] for the Higgs Boson. Those data sets are just absolute, absurdly large, but in a given discipline, five megabytes of data might be a lot depending on what it is that you're trying to ask. And so I think it's more, it's much, much more important to think of data that has grown larger than a given discipline was used in manipulating and that therefore poses interesting challenges for that given domain rather than being completely focused on the raw size of the data.  Speaker 1:        I approached this from an angle that's actually complimentary to Fernando in part because [00:04:00] my job as the interim director of the social sciences data laboratory is not to do data science but to provide the infrastructure, the setting for researchers across the social sciences here who are doing that for themselves. And exactly in the social sciences you see a nice exemplification of the challenge of larger sizes of data than were previously used and new kinds of data as well. So the social sciences are starting to pick up say on [00:04:30] sensor data that has been placed in environmental settings in order to monitor human behavior. And social scientists can then use that in order to design tests around it or to develop ways of interpreting it to answer research questions that are not necessarily anticipated by the folks who put the sensors in place or accessing data that comes out of human interactions online, which is created for entirely different purposes [00:05:00] but makes it possible for social scientists to understand things about human social networks.  Speaker 1:        So the challenges of building capacity for disciplines to move into new scales of data sets and new kinds of data sets. So one of the ones that I've been seeing as I've been building up d lab and that we've jointly been seeing as we tried to help scope out what the task of the Berkeley Institute for data science is going to be. How about the emergence [00:05:30] of data science? Do you have a sense of the timeline when you started to take note of its feasibility for social sciences? Irrespective of physics, which has a longer history. One of the places that's been driving the conversations in social sciences, actually the funding regime in that the existing beautifully curated data sets that we have from the post World War Two period survey data, principally administrative data on top of that, [00:06:00] those are extremely expensive to produce and to curate and maintain.  Speaker 1:        And as the social sciences in the last only five to 10 years have been weighing the portfolio of data sources that are supported by funding agencies. We've been forced to confront the fact that the maintenance of the post World War Two regime of surveying may not be feasible into the future and that we're going to have to be shifting to other kinds of data that are generated [00:06:30] for other purposes and repurposing and reusing it, finding new ways to, to cut it and slice it in order to answer new kinds of questions that weren't also accessible to the old surveys. So one way to approach it is through the infrastructure that's needed to generate the data that we're looking at. Another way is simply to look at the infrastructure on campus. One of the launching impetuses for the social sciences data laboratory was in fact the budget cuts of 2009 [00:07:00] here on campus. When we acknowledged that if we were going to support cutting edge methodologically innovative social science on this campus, that we were going to need to find ways to repurpose existing assets and redirect them towards whatever this new frontier in social science is going to be.  Speaker 5:        You were listening to spectrum on k a l x Berkeley, Catherine Carson and Fernando Perez, our guests. [00:07:30] They are part of the Berkeley Institute for data science known as big [inaudible].  Speaker 4:        Fernando, you sort of gave us a generalized definition of data science. Do you want to give it another go just in case you evoke something else? Sure. I want to leave that question slightly on answer because I feel that to some extent, one of the challenges we have as an intellectual effort that we're trying to tackle at the Brooklyn [00:08:00] instead for data science is precisely working on what this field is. Right. I don't want to presuppose that we have a final answer on this question, but at least we, we do know that we have some elements to frame the question and I think it's mostly about an intersection. It's about an intersection of things that were being done already on their own, but that were being done often in isolation. So it's the intersection of methodological work whereby that, I mean things like statistical theory, applied mathematics, computer science, [00:08:30] algorithm development, all of the computational and theoretical mathematical machinery that has been done traditionally, the questions arising from domain disciplines that may have models that may have data sets, that may have sensors that may have a telescope or that may have a gene sequencing array and where are they have their own theoretical models of their organisms or galaxies or whatever it is and where that data can be inscribed and the fact that tools need to be built.  Speaker 4:        Does data doesn't get analyzed by blackboards? Those data gets analyzed by software, but this is software that is deeply woven [00:09:00] into the fabric of these other two spaces, right? It's software that has to be written with the knowledge of the questions and the discipline and the domain and also with the knowledge of the methodology, the theory. It's that intersection of this triad of things of concrete representation in computational machinery, abstract ideas and methodologies and domain questions that in many ways creates something new when the work has to be done simultaneously with enough depth and enough rigor on all [00:09:30] of these three directions and precisely that intersection is where now the bottleneck is proving to be because you can have the ideas, you can have the questions, you can have the data, you can have the the fear m's, but if you can't put it all together into working concrete tools that you can use efficiently and with a reasonably rapid turnaround, you will not be able to move forward. You will not be able to answer the questions you want to answer

    30 min
  8. Steve Blank, Part 2 of 2

    03/21/2014

    Steve Blank, Part 2 of 2

    Steve Blank, lecturer Haas School of Business UCB. He has been a entrepreneur in Silicon Valley since the 1970s. He has been teaching and developing curriculum for entrepreneurship training. Built a method for high tech startups, the Lean LaunchPad. Transcript Speaker 1:        Spectrum's next.  Speaker 2:        Okay. Okay.  Speaker 1:        Welcome to spectrum the science and technology show on k a l x Berkeley, a [00:00:30] biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news.  Speaker 3:        Hello and good afternoon. My name is Renee Rao and I'll be hosting today's show. Today we present part two of two interviews with Steve Blank. I lecture at the High School of business at UC Berkeley. Steve has been a serial entrepreneur in silicon valley since the late 1970s in the early two thousands he retired from the day to day involvement [00:01:00] of running a company. He has been teaching entrepreneurship training ever since. By 2011 he was said to have devised a scientific method for launching high tech startups, dubbed the lean launchpad. The National Science Foundation caught wind of this and asked Steve to build a variation for teaching scientists and engineers how to launch startups. In 2013 Steve partnered with UCLA and the NSF to offer the lean launch pad class for life science and healthcare. In part two, Steve Talks about getting [00:01:30] the NSF lean launch pad classes going, the evolution of startup companies and innovation, and now Brad swift continued his interview with Steve Blank.  Speaker 4:        Okay.  Speaker 5:        In your experience with these scientists and teaching them, are these people self selected? They're the ones who are anxious and eager and there are other scientists maybe back in the lab are reluctant afraid of the process.  Speaker 4:        So just the personality of it. Yeah, so this goes back to the comment I made earlier about entrepreneurs being artists. It was the implicit comment [00:02:00] I just kind of both through in the beginning, but as important is that you can't assign entrepreneurship as a job, right? If you really think about them, you can't split up a room and say, those of you on the left, you're going to be musicians. And those are you on the right, you're working on the assembly line like, Oh yeah, WTI. I mean, it doesn't work. It doesn't work like that. All right. Entrepreneurship is a calling. Just like art, just like music, just like writing is something you have to passionately want to do, but much like art, we've learned something [00:02:30] a couple hundred years ago that very early on in people's lives in elementary school and junior high school in high school, we want to have our depreciation.  Speaker 4:        They're not intensive classes, but their exposure to art that people might not know their artists. They might not know they have a passion to paint or to sculpt or to write or to entertain. I will contend because entrepreneurship is an art. We actually need those type of classes early on because scientists didn't understand [00:03:00] that not was their passion to invent and create. They might actually have an equal passion to wait a minute, I actually want to take this thing all the way through when I want to see what happens. If hundreds of thousands of people were being affected by this medicine, not just, here's my paper in the latest publication. It doesn't mean everybody could do that, but it means we've not yet gotten the culture to where we could say, well is this something that kind of excites you? And I think we're getting better to understand what it takes to do that.  Speaker 4:        Would you have any [00:03:30] idea what that would look like? The kind of exposure that you would be talking about in grammar school or Middle School? Sure. It turns out one of the unintended consequences of teaching the scientists that National Science Foundation is, remember their professors, almost all of them tenured running labs and universities across the country. And so here they take this class from the national science foundation and about half or two thirds of them now go back to their own universities, pissed cause they go, how come we're not teaching this? And so what happens is the National Science Foundation asked [00:04:00] me and Jerry Angle, who was the head of entrepreneurship at Haas, why don't you guys put on a course through a nonprofit called NCIA to teach educators in the United States who want to learn how to teach this class. And so we teach the lean launchpad for educators. We teach now 300 educators a year.  Speaker 4:        One of the outgrowths of that class was entrepreneur educators from middle school and high school started showing up and I went, you're not really teaching this to kids. They went, [00:04:30] oh Steve, you should see our class. And I went, oh my gosh, this is better than I'm doing. So they'd taken the same theory and they modified the language. So it was age appropriate. And so the two schools that had some great programs were Hawkin school outside of Cleveland and Dunn's school here in California. And in fact they're going to hold their own version of the educator class in June of 2014 for middle school and high school educators who were interested in teaching this type of entrepreneurial education. So I think it's starting to be transformative. I think we [00:05:00] have found the process to engage people early and not treated like we're teaching accounting to do, treating it like we're teaching art.  Speaker 4:        And again, we're still experiment thing. I wish I could tell you we got it now. I don't think so. I think we're learning, but the speed at which we're learning through it makes me smile. That's great. It is great. The Passion of the educators really is exciting. And Are you able to teach us remotely so that scientists from around the country don't have to come to you and sort of stop what they're doing? I was teaching the class [00:05:30] remotely. It's now taught in person in multiple regions. So that's how we solved that problem. But my lectures were recorded and not only were they recorded, they were recorded with really interesting animation. So instead of just watching me was a talking head. These are broken up into two minute clips and it's basically how to start a company and it's on you udacity.com so if you want to see the lean launch pad class in the lectures, it's on your udacity.com it's called the p two 45 but by accident we made these lectures public to not only the [00:06:00] national science foundation scientists, but we opened it up to everybody.  Speaker 4:        And surprisingly there is now over a quarter million people have taken the class. I've had people stop me at conferences and have told me that the Arabic translation, which I didn't even know existed, it's the standard in the Middle East. I had people from Dubai and Saudi Arabia in Lebanon literally within 10 feet go, oh well we recognize you. And I went, who are you turning over, Mr Blank, you worthy? I went, what's going on? I laugh not because it's me, but because [00:06:30] this is the power of the democratization of entrepreneurship. I have to tell you a funny story is that I grew up with the entrepreneur cluster was silicon valley and something in the last five years that I've gotten to travel with both Berkeley and Stanford and National Science Foundation to different countries to talk and teach about entrepreneurship. And my wife and I happened to be on vacation in Prague and when I really knew the world had changed as my wife had said, you know Steve, we're kind of tired of eating hotel food.  Speaker 4:        I wonder if there were ending entrepreneurs and Proc, I didn't want to, I [00:07:00] don't know. You know, let me go tweet and any entrepreneurs and Prague, you know, looking for a good check. Brie hall and hour and a half later we're having dinner with 55 entrepreneurs and Prague television is there and they said, Steve, you don't understand. Here's why. Here's an entrepreneur community everywhere. The only thing we still have unique in the bay area is that entrepreneurship and innovation. We've become a company town. That is our product. Much like Hollywood used to be movies in Detroit used to be cars in Pittsburgh steel. [00:07:30] While obviously there are people who do other stuff, teach in restaurants, put the business. The business to the bay area really is entrepreneurship and innovation. While we tell stories about the entrepreneurs, the unheralded part of that ecosystem is that we have equally insane financial people.  Speaker 4:        Why Silicon Valley happened was that the venture capitalist in the 1970s in Boston when it wasn't clear whether it was going to be Boston or Silicon Valley to be the center of entrepreneurship, the venture capitalist in Boston continued to act [00:08:00] like bankers, venture capitalists in Silicon Valley. They decided to act like pirates and the pirates want and so what really differentiates the observational make with an entrepreneurship is everywhere in the world. Entrepreneurial clusters only happen when all these things, these components, primarily entrepreneurs, but a heavy dose of risk capital capable of writing not only small checks but large checks and doubling and tripling down on startups. That's why you have the Facebooks and the googles and the twitters [00:08:30] around here. You also have a culture let's people know and understand. In the 1950s and sixties people came to San Francisco and Berkeley to live an alternate personal lifestyle, but they were hitting 30 miles south to have an alternate business lifestyle around Stanford and it was this kind of magic combination of great weather, the a

    30 min

About

Spectrum was a program that aired on KALX from 2011 to 2014. Spectrum explored scientific research and technology development through interviews with leading practitioners at UC Berkeley and throughout the San Francisco Bay Area. Transcriptions of these programs are coming soon. If you are interested in a transcription of a particular episode, please contact us at mail at kalx dot berkeley dot edu. Hosted on Acast. See acast.com/privacy for more information.

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