[00:00:04]
>> Well thanks for joining us for our 1st round of the spring semester it's great to see you you all here for those who don't know me money is key said words of the director of the g.p.u. center and it is my great honor to introduce and host a speaker.

[00:00:20]
Who really doesn't need any reduction for me I'm sure you all know her but just in case that mine it is a regents distinguished professor here in the college computing in the school of interactive computing and she's been working on the report task for the last of my goodness I can remember how well you've been doing this now best least a year probably longer.

[00:00:41]
On what's called the tire tracks which is an effort is organized by the National Academies that really a blue it's is the way that. The research is done in this country by telling the story of the connection from basic research to innovation and with that I will let her take it away so we have the most time possible for her talk thanks thus welcome her think thank you Keith and thrilled to see so many folks here I wish I could be with you in person but on this will suffice for today and yes I mean are we talking about a study that is now over 2 years in the making was released just after Thanksgiving last year and it's a consensus study from the National Academies from the computer science and telecommute telecommunications or and it's naming the tire track support and I'll get into explaining what that's about but it is the focus of the report is about how investments in computing research in computing innovation kills us industries in the u.s. economy so the my talk today is 1st I want to give you a sense of background of the tire tracks point series this is just one in the series of many tire tracks summaries that are out there and give you a sense of why we call a tire track what are these reports tries to achieve and to give you a feel for how the are reports of all the overtime and then the major shift that we made when we created the 2020 report on.

[00:02:04]
I'll venture to shift into the official slides that detail as the 2020 report and hopefully piqued your interest enough to go download it right now and start reading it it really is an amazing report and then I want to spend some time as time allows contention wising this really for the t.v. you h.c.i. community because my journey with this type of material started way before our official study began as folks have.

[00:02:35]
Tried to articulate the impact of h.c.i. g.b.u. to research for the overall community so what do we done in the past and then eventually How was that integrated into the 2020 report so to begin this is the origin of tire tracks of this is a figure from a $995.00 c s.t.b. also National Academies report that looks to.

[00:02:59]
Explain and justify the investments in high performance computing research to the community and an argument to all of these reports is to help explain and justify why investments in academic research in industry research matter so it's important to realize that this report was that in the heyday in the ninety's there was tremendous activity within the commercial i.c. sector and perhaps a belief unfounded belief but a belief that these ideas just naturally period in people's garages as folks were inventing and creating startups and so what the report did through this illustration that they invented was show how what was commonplace in commercially available actually summed up to 1000000000 in annual revenues commercially at a long history in academic industry research that spanned decades and so what you saw in this and this will graphic that but we're less than true by hand does it show the relationship of work and time sharing graphics.

[00:04:00]
Via the l.s.i. rate parallel computing and Windows itself into work that had been done in the academy and then an industry research and then out into commercial industry and this hand drawn diagram in the way it looked. It was finally called tire track that has been tire tracks ever sense and it really captured the spirit and really caught the attention of the policy science policy community that again these innovations that we see described on the right did not just come out within the year the past 2 years but really had this long long long tendrils long long foundation into academic an industry research so a star was born in the name tire track and then this work continues so this is now the 2003 report looks very much the same we now have the parlance of academic research and read moving in industry research in blue and then moving to the commercial impacting green and I again this is not.

[00:04:59]
Summing up to 1000000000 dollars dollars of annual revenue for these companies and what you'll see is that we're still looking at. Let's say and the collective car a topical set of areas of computing innovation and then years again seeing you know what they represent to at the turn of the century so looking again at the different industry labs in companies that are now taking these innovations into the market.

[00:05:25]
So move forward again to 2012 and this is a form of the tire tracks argument that probably many of you are familiar with what this committee did was then start to take that perhaps eclectic set of examples topical examples in Organize organize them into areas of computing research so you see for example in the the bottom here at the foundation of the tracks we now have have major areas but not all areas of computing research represented we see the innovations that they have started to create and most importantly for this report you now have a inventory of companies some quite large some start up that represents in this case we're now up to almost $500.00 over $500000000000.00 of annual revenue within that 2012 reports the 272011 figures so this report again has been quite pivotal and has been shown in many congressional testimony within and the stuff widespread over the d.c. policy area began creates easily could just between work being done in the academy and how it shifts through these areas the light green is a $1000000000.00 market and then the darker green into a 10000000000 market so they were quite successful in making this argument for that decade but now the grand reveal the 2020 diagram so this this report now makes another major conceptual jump and part of what I will do today is to talk to you about how we got there but what you see on the left is quote unquote traditional tire tracks but they now span ballistically what we would consider major areas of i.t. in computing research and a comprehensive way in the middle what you see is the major ita innovations that have now come from decades of work in those areas in between there are about $800.00 data points showing the linkages between academic research industry research and commercial impacts and then on the right you see 2 areas you see the.

[00:07:25]
Our variation of that group of companies and what we're also seeing here is the breath of how computing research leads into that impact so one of the things that we witness is that companies continue to grow and broaden in terms of the services of the products they offer it and the different facets of computing research that they pulled together and now there is a new entirely new portion of the tire tracks which looks at the relationship in the integration of computing and of innovations into other sectors such as agriculture the automotive industry health and even sports so what I want to do with my time today is to tell you a bit more is the story of how that initial 995 tire tracks became the 2020 report that we have today and then again as time allows talk a little bit about what it meant to bring in human centered h.c.i. and related research fields into this document to our task we were funded by the n.s.f. to do this so a national academy studies are frequently funded by an external agency and so we were asked to do 3 major things so 1st was to update this notion of the tire track figure to understand to depict the inner connections between research areas and the creation of i.t. sectors and to look at this interplay again between the Academy industry and government and really to consider how it is and how these rules have changed and evolved since the last report and they had it was a very interesting set of deliberations.

[00:08:58]
We were also asked to take a deeper dive into artificial intelligence itself actually if you go back and look at 2012 ai is fairly represented in fact primarily represented through robotics it was not an area that had a great deal of presence in the previous tire tracks reports but given the immense interest in investment in ai and the uptake of Ai innovations and this it was really interesting and I was telling that story.

[00:09:25]
They really kind of referred to it as like a dedicated track what would it look like if we understood the legacy of federal investment in ai research and while what it meant to the market now the day and then finally we really wanted to review and update the lessons learned about this ecology one of the things that's fascinating about this report and about the way the u.s. works is it is this partnership between the academy and industry doesn't really work that way and other countries and the importance of the this ecology in the futures and mechanisms of this ecology to have those transfers between the tracks to have things move from the academy and industry is about most important because part of the health part of the importance of federal investment is nurturing that ecology itself.

[00:10:14]
So the best thing about working on this and kind of the study is you get to work with tremendous people so I want to call out tension to the Committee of the 15 innovation i.t. So we were the ones passed with the tire tracks effort. Across the board so working with folks like David color Berkeley Greg Morissette who shifted but now Cornell tech and then you won't be surprised to hear references to sure that the self contribution is also representing capabilities in h.c.i. ubiquitous computing and so on bogs for out so just absolutely fantastic committee and what you'll be able to see in the report of the work we did was them reaching out not only drawing on their own expertise but across the communities that they represent and the pulling in size that were necessary for work that we were doing and then finally as I said we had a deeper dive on Ai so we had a separate panel that worked in parallel and in conjunction with the so Tom Mitchell from CMU chairs that panel had Jenkins also served to do role on both committees but then also bringing airport of his face a Daniella part someone from Cornell all contributing their time and insights to this work and it was just about a 2 year process a little bit pandemic delayed as we finished up our work in 2020 so our approach started with reflecting on the wool of my team and of a sions and I see companies and throughout the economy and one of the things that struck the committee in our very 1st meetings and deliberations was a sense of just how much the world had changed since 2012.

[00:11:55]
1 thing that was clear was that. Telling the story of the impact of computing research only through the lens of computing companies just didn't feel right anymore right if whether we were looking at e-commerce or entertainment our the importance of iced tea and you know in healthcare and other areas if you ask people how computing research mattered in their day to day lives they were just going to talk about you know the Googles of the world but they were also talking about kind of everywhere else you know mobile computing ubiquitous computing and how it intercept the day to day life and so we took it upon ourselves to to come up with a way that didn't involve oil in the ocean and trying to sell everything but a way of explaining how the sender of the computing research now has a much wider range of them packed than they certainly did back in 95 when the tire tracks effort started.

[00:12:49]
The other thing that we wanted to do was to to really call attention to the breadth of computing research and how it was now being integrated in fundamentally different ways and again we had seen in the ninety's and even in the 2012 version of the report as I mentioned the Googles of the world the Amazons of the world were now integrating Computing Research in.

[00:13:15]
Fairly dramatic and broad ways and that was also a story to be told though as I as I go through this I'll talk about how we wrestled with this notion of what was at the bottom of the tire track and what was at the top of the tire tracks and how could we tell those in a powerful way that made sense within the time of our community now and so from those deliberations we actually developed 2 narratives are 2 major concepts and then frame narratives around it that we invented this language ourselves but it works for us and it runs throughout the report though one of these is conclusions and conclusions is Eistein of a chanst that combine with each domain expertise design and production knowledge new busy.

[00:13:57]
Models all this type of inner disciplinary transfers from a research that takes place in the g.v. center on a day to day basis basis to create transforming the results across the u.s. economy and I'll impact that a number of different ways but concludes turned out to be kind of the mechanism that and the concept that we work with to help explain how academic computing research then have these broader impacts in the us economy and then the other major concept that we worked with was this notion of resurgence and resurgence was where the interest of researchers or funders could fall off and progress was slow but only to be followed by this we knew a little research we knew all about application renewal of impacts when new ideas our neighbors emerged and of course Ai with its famous summers and winters was really the poster child for a resurgence but once we had looked at that pattern and we started to understand and reflect on the timescales that it sometimes took for initial research to see economic payoff when you started looking for research and you could find it in so many other places so we worked the media to report the narratives of the report around these 2 major concepts.

[00:15:06]
And then finally as I said we wrestled with moving the evolution of the report from going from exemplary that were quite topical at the time in the ninety's and at the turn of the century to really creating more comprehensive coverage of information technology research impact so we rebuilt the tire tracks figure and all of the documentation surrounding it and as I said now $800.00 plus data points fuel all those little connections between the tracks and they actually are represented in the pin 60 which conveys major themes of impact within the field and if you can imagine the trying to figure out how to reflect all of computing research is a challenge I can agree with you on that and there was really kind of the daunting work of the committee to undertake this and then through the narratives and through these through these teams and tracks to be able to convey economic impact at a very high level and how it was distributed not only in the information technology sector but other u.s. sectors as well.

[00:16:08]
So let's some pack that new figure and kudos to Horizons imaging who worked with the academies to pull this together so again here we have what might look like our traditional tire track and is the stillest down we now have these 9 areas of computing research and part of the sanity check or the deliberations around these areas is they also reflect if you look at night or daily if you look at c.r.a. see see see other areas other groups that have had to wrestle with how do you create a taxonomy of information technology computing research these categories very much look like the ones that you would see see there as well and then what we looked at then on the right side of the tracks is again the major i.c.t. innovations and part of the jump of this committee was not to just reflect on innovations that immediately resulted in the company in the sense that search technologies would be the basis for having Google on the other side part of what we see and I've seen evasions is that whether it says things like for example desktop interfaces or gestures on mobile devices they don't trail neatly into one particular company there's not a company that one would say that's the h.c.i. company but they're actually broadly adopted and so what we what we agreed on through our work was to come up with the Major I seen a patient that would be in the parlance of the language of the greater policy community and that we could show the connection between fundamental research areas these major innovations that have economic impact and then the work that's done within this is then to show all of the connections between academic research fueling going directly into industry research directly in industry the interplay of industry research itself and then the continued work in products and services and part of what we capture and some of the narrative is that.

[00:18:07]
Some of the products and services in one area as they systems in architecture then become an enabler for another area let's say our graphics and simulation so we are also looking at that interplay across areas and pay specific attention to that then all of those get summed up as I said into the left side of the diagram and then what we then go from there is we just have exemplary companies but then these show the uptake of these innovations again now you can point to just the swell companies and conveys that this is $986000000000.00 of annual revenue just within the industry that is fueled by these innovations that are highlighted by these 12 companies and then following the confluence narrative we now have 13 companies again just great examples but ones that companies that work well and often with the computing community that are now showing the integration with Again design knowledge production knowledge often focus on in or just plain areas inside I mean together they have a transformative impact in agriculture commerce health and so on so this is a 2020 figure and then to follow that within the report we've developed a series of narratives so the 1st set is again around resurgence and I'm not going to go into these in detail but they are just terrific reads so suggests folks going in and looking at capture 3 which as I said once you started to a deadly fire this pattern of resurgence then you saw it in so many different areas so looking at virtualization research was started in the sixty's that i.b.m. but then was completely picked up in a new way as soon for Rosenbluth group to understand how to run different types of commercial operating systems within the same cloud architecture the clothes same cars systems not the same concept as it was in the sixty's in terms of.

[00:20:07]
Of multitasking but taking that same virtualization technologies and methods and using them in very different ways and making major research strides and having major economic impact the lowly there's a great section on formal message a long long history of academic research but now being picked up in pretty sophisticated and major ways I have a great.

[00:20:30]
Unpacking of that within Amazon and other other major cloud service providers around software quality and Software Assurance a a r n z r if you look at the history of computing work in virtual reality was there is a very beginning but it's had again it's. Starts and stops as other types of enablers need to come into place to take it to the next level and then of course we have Chapter 4 which is a full.

[00:21:00]
You know a full treatment of the history of Ai across summers and winters of Ai and looking at the resurgence of work in machine learning reasoning natural language robotics in computer vision and understanding the interplay of how advances in one area of Ai have not led to advances in other areas and again drawing all of this back to the importance of investment in federal funding and investment in research funding and in some cases the importance of patience of waiting for these economic payoffs to occur and then the 2nd set of narratives in Chapter 5 Look at this notion of conclusions and how I t. innovations in combination with that the transpose transposable narry work domain knowledge production knowledge new business models all of these combined together in powerful ways to create transformative results across the u.s. economy and so we have 5 narratives within the report that were chosen somewhat opportunistically but to show the breadth of different types of compliance patterns within our economy today.

[00:22:07]
So the 1st one that the report leads with is conclusions in e-commerce and I would encourage folks just to go and just read this one section because it's this beautiful history of the Internet it takes a simple I purchase on a major provider starts with that I takes a simple purchase and then unpack that through every aspect of 50 years of work in funding within the economy with industry and now take something that is now routine but require just layers and layers of innovation to make this happen.

[00:22:41]
And is I said the report is is you know just worth its weight in gold already just within that that quick summary to just lay out for the rest of the community how decades of investment and work now distilled together for something that is now woven into the fabric of our society and has become even more important as we've now tried to pivot so many of our working on life processes during the pandemic.

[00:23:10]
Other concludes narratives that I'd like to point to so we had a great discussion about confluence in agriculture Why did we pick agriculture will if you're going to talk about an industry that is fundamental to the u.s. economy if you can talk about an industry that many many states are invested in its success and also an industry that doesn't come to mind as that's that's about computing that's about information technology agriculture was a great choice for us but if you look at automated plowing precision agriculture using something that a little Excel of the data element Linux within that and really just the the notion I love the quote from our from our discussions like a combine a tractor is basically a factory on wheels with the cockpit of a plane just layers and layers of advances of information technology within agriculture and one of the things that we did in each of these narrative was to refer back to those major areas of computing research but then describe the impact in the language of the industry itself so someone who might be coming from a state that has deep interest in agriculture and is really trying to make sense as to whether they should be really excited about that and as the funding in size they can read about how it matters in agriculture in the industry that that that is deeply important to that.

[00:24:34]
Likewise we did the same thing in health care and others information technology has had a long history in health care so just the digits it is just as they should of files and records then electronic health care records but what we really wanted to do in these narratives is to show where it was starting to have a transformative effect though not just.

[00:24:55]
Turning going from paper into biz but looking at how medicine and health care are now practiced I'm fundamentally different ways because of that innovative spark that trance disciplinary that in or just Mary discover that it's come to the fore play whether that is in how people interact or on mobile and wellness technologies whether it's around data as a drug in terms of major discoveries.

[00:25:20]
And just looking that kind of the empowering way that people are examining health care not to mention just robotics and surgery where it is it is fundamentally different than it was before that integration that can swoop with the importance of information technology research. So in total what we hope that will be the impact of this report that summarizes in fact what we hope will be the role of this report is that we now have a new way of framing and communicating with the broader community where we're able to go from as I said all of the all of these areas of academic research where our students are trained all the different types of grants that an assessment other agencies provide and how those investments have and continue to fuel the college e of interplay within and across the tracks they lead to these major innovation areas and have done so and will continue to do so and then and then from that are able to fuel billions of dollars of economic impact that are both within the companies that we think of the Adobes the Apple Microsoft i.b.m. Invidia the companies that we recognize this as part of our kids part of our computing community but that also are having these transformative impact across other companies whether it's John Deere our 4 to Wal-Mart.

[00:26:47]
Or the even the n.f.l. we had a great time with the sports narrative they're now having these transformative impact in the sector such as agriculture automotive e-commerce and so on and our hope is that when anyone is then having deliberations around science policy and they're asking the question you know is it worth funding these computing researchers that 1st off we dispel the notion that these innovations happen all by themselves that they just pop up out of garages and pop up you know you know on a Sand Hill Road but they actually have this long long history within academic research and long history within the community as a whole.

[00:27:26]
So the types of important lessons that we've listed is still in this report so 1st Again you've heard me wax and wane now about this that I can evasion that ecosystem fuels a very virtuous cycle of innovation and has growing economic him impact and the numbers in the report showed just the tremendous difference between relatively small numbers going into computing research and the multiplicative economic payoff to our country and beyond and that what we continue to argue is that we've now shown over decades that priming that pump continuing to invest within the community allows us to create those advances in many sometimes unintrusive pated ways and sometimes ways that we're going to have to wait some time but again with the mechanisms the resurgence.

[00:28:16]
Even work that was done decades ago maybe the glimmer of Inside that when combined with other factors creates the next major major company or next major innovation it was really important for us and I think even if you look at the 95 report you see that you know with started with work in the sixty's so the tire track has always worked across these timescales but with our focus on resurgence and with our focus on now talking about 60 years 16 years of research and innovation is that we're able to show how this ecosystem works across those timescales and in vastly different ways and even though some innovations may happen you know within months or weeks or you are even a small number of years other major areas take decades or more and that's just part of how the ecosystem works and it's to our folly and to.

[00:29:12]
Our detriment of the future if we try to shorten that our only assume that innovation and i.t. is something that is so fast even though and in the midst all of that is what you see in the press. And then the other thing that we really wanted to point to was the importance of this ecosystem that i.t. research is a partnership as well as to lean the partnership and how the u.s. work among Sedler federal support within the universities working in synergy with industry research and with industry itself and the wall of the universities both in the sense of being able to do research that doesn't need to have immediate application but it still can have a normal long term impact as well as positioning universities for that trans to swim their use inspired research however reflecting on that just because a university can do transform their research just because the disciplines are available on the campus doesn't mean that universities don't also have to fight their own disciplinary silos.

[00:30:14]
And it's the importance of investors and funders to create funding mechanisms that incentivize that type of process on area work. We distance some time reflecting on the evolving role of industries. Many comments and discussions and you know the missing of the days of Bell Labs and similar institutions and that the majority of industry even those with major research labs or even those doing research is that they corporate are indeed tends to focus on appropriate more research that they can garner some form of of well as to lay immediate returns on but the will of industry is continuing to evolve and again if we think about the importance and health of that ecology you know we are looking at areas where some areas of research really only prosper in our prosper best with industry participation So for example access to large scale data sets immediately to work at the scale of what computing innovations accomplished now very very difficult to replicate that scale within an academic setting so the importance of partnerships incentivizing and supporting that and that also large I see companies practice a pain in the sharing of ideas and artifacts for many different reasons so in the.

[00:31:37]
What we need to do is to continue to reflect on how to create those incentives how to create that support that scaffolding for that type of collaboration and so we have a complex ecosystem for a translation and transfer research environment so continue to act as time machines you know inventing the future today by creating that within your campus within your community within the information technologies you have access to and then having people experience that time machine to understand the potential commercial impact it could have in the future the movement of students and faculty that to a transfer is incredibly important and I will tell you the you know the secret to behind many of those 800 data points within the tire tracks is many of those arts are following the person following the student that was trained in the research lab and then goes to the start a company or join the company and take that knowledge and insight there the importance of education is not the major message of the report but it underlies so much of what we talk about because the results of academic research are not just within the papers themselves but they're within the products and the students in the major product alongside the startup companies and the other types of innovations that are put out there we talk about the role of temporary industry positions for faculty and this is something the machine learning community and others have struggled with which is how do we support this back and forth role of faculty being at the university going to work at a company and then coming back and again that migration of people in many ways after that migration of ideas at them so important for those ecology startups in commercialisation continue to play an important role but that what those ecosystems are becoming more sophisticated and then one of the things that we pointed to more in the report was the will of the open source in playing an increasingly important role as a meeting ground for collaboration between really.

[00:33:37]
Academic researchers industry researchers and for companies also contribute in significant ways it's not necessarily with dollars that are funding research but with measurable contributions within the open source community that again fuels the entire movement toward. So what is a wrist tie to leadership one of the things that we do in any of these national academies reports is to say Ok Well we've captured the past but.

[00:34:06]
From these lessons that we've learned of from a retrospective review what are the things that we need to worry about or pay attention to going forward. And as I said we were finishing the report as the pandemic struck and one of the things that was even even more obvious it was captured in our text in the 1st round but we continue to work to this narrative is the importance of i.t. across many sectors and then the complementary of corresponding dangers of new and all forms of digital divide so you know the other side of the coin of the importance and relevance of computing evasion across the u.s. economy is that then those without proper access to training resources across the board we are now putting those populations those individuals at risk because of this notion of a digital divide it includes access to broadband but it is not only about access to kind of the band with itself but so many different layers of that and the more we the more the computing community wants and claim their important role in the daily life of Americans in this country the more we have to own up to working to combat these Chrysostom forms of this will abide that work across many sectors.

[00:35:25]
We also talk about the importance of the different components of this conflict because system those start ups so important student training is important interactions in partnership with industry important and then I called out the growing role in importance of open source as n.s.f. and other agencies and industry is making sense of the investments they want to make in the research community.

[00:35:49]
Learning and understanding how to support the health of this ecosystem is incredibly important and you'll see many of the deliberations in n.s.f. and other agencies that are examining these questions. And then of course it was important for us to recognize that this work is we've talked all about the u.s. this is the u.s. centric report but there are certainly other countries that are developing on and how strong ecosystems for capturing the results of research and for whether it's China or others you know we we sometimes some of the most persuasive text within science policy can be like if we don't do it they're going to do it and then all of the u.s. is going to be vulnerable because.

[00:36:36]
The lessons of the history we feel are clearly coming for this report which is that today's research investments are going to be essential to tomorrow's world leadership and information technology that many other quote surprises and disruptions are just waiting to happen they cannot be completely predicted but they do work across this interplay within this important ecosystem and they do reflect these patterns of resurgence in conclusion in more vibrant and interesting ways going forward and that ongoing federal investment is going to remain critical to say to sustaining this ecosystem we guarding the pace of the people in the ideas and the flow of all of this feeling innovation going forward.

[00:37:18]
So the report is out there please download it I'm very proud of the work of the committee and very excited about the narratives that are there that I think add a lot of nuance and texture to the things that I've been talking about rapidly right now I want to talk a little bit and I know I just have a few more minutes remaining about what it was like for me as chair of this committee both going back even before that what it has been like to be a member of the h.c.i. g.b.u. human center computing communities who notice from 995 odd that h.c.i. had a very tenuous disappearing position in these tire tracks and.

[00:38:02]
What we felt was the importance of being able to capture that in these types of discussions which is another way of saying if you complain about something long enough you'll be asked to take a role to help fix it and that's part of what I tried to do.

[00:38:15]
So if we look at how the a.c.i. community for example has looked to the language of tire tracks to capture the importance of our work there's a lot of great examples out there so 1st call out to Brad Meyers So the $198.00 e.c.m. interactions paper of a brief history of h.c.i. technology and what you'll see is now of of visual language that you're familiar with about the work that's been done in the.

[00:38:45]
University research fueling corporate research and then into commercial products where there was direct manipulation the mouth Windows tech that a many things that we're familiar with just a recognition as well and then again and they similar timelines to that what we've talked about is 10 Chinaman's article medium which was a easy one to capture a lot of reflections that he pulled together but again looked at this relationship of a now in the language of the 2 $1012.00 report of the types of areas of user experience research and the types of economic impact that it had and one of the things that you will see in communities that felt perhaps left out of the original the earlier tire tracks report is similar work like this how do we tell the story of our community so that we can use the language of tire tracks we can use the language of this major report but then start to draw out the details of the work and the impact that we've had and then g.b.u. we did the same thing.

[00:39:49]
Back in 2017 for is achieve you 25th anniversary again larger in scope than h.c.i. but looking at major areas of work within g.p.u. ubiquitous computing wearable computing u.i. software and then again in the language of tracks what are the things that have resulted in terms in of innovation and what is their uptake within the commercial community and luckily we had a clue.

[00:40:15]
Siegler and others to create in the style Jack futures exhibit which then made this much more visually interesting and again captured many of the narrative so if you go doesn't the style just pictures websites you'll hear interviews with you you faculty members talking about again this legacy of work in academic research dealing industry or Indian commercial impact.

[00:40:38]
So for what we struggled with within the committee was again how to take these narratives that existed in h.c.i. and others and then integrate it into a more comprehensive tire tracks the sub and so I'm just going to focus in on the bottom 4 tracks because in many ways they reflect some of the passes of what we saw for example in the g. view tire tracks in the subject futures which is the work that the committee did to reflect those innovations within robotics and cyber physical systems that for many I am machine learning and data science a whole set of arguments and discussions there and best amongst the committee about how these research areas are going to evolve for the next decade a longstanding work in graphics and simulation and then its relationship to a longstanding work in h.c.i. and the major innovations as of today that have come out of these communities and again.

[00:41:42]
These all of these little arrows make up a portion of those $800.00 data points within the report so if you look at appendix b. which is where the meat is in the report what you see for it each of the tire tracks is a set of themes of impacts that have occurred and documentation around the origins of work as well as the significance and impact it's not perfect there's a lot of details in this report but again it's capturing him pulling from the work that was done by Brad by Ben and many others in the community to tell this history of h.c.i. in g.b. your research and then within the report what we're able to do is show the significance again around the spot of 2 tracks around the computing industry and then leading into the significance of the work in the concludes Porsha and I can say it was really.

[00:42:37]
Possible and part of the aha as a committee was once we've made a commitment to talk about conclusions and to talk about the cumulative and interviewed of impact of computing research in these other sectors it was incredibly important for us to draw from the innovations that were happening in h.c.i. human center computing g.p.u. and likewise.

[00:43:00]
Kudo's into Thanks to many members of our community that have helped tell that story one of the reports that I didn't mention was the 2016 workshop that Scott has said and that started were participants and that again worked on pack narratives that would be brought into the tire tracks and other types of similar reports and so Scott has been as a great chapter out there which is the history of u.i. toolkit and how many surprises it didn't really work out the way the community had intended but looking at that long legacy of impact I've mentioned Brad Meyers and that particular article and I hope you working on the subsequent version I think then is working on the subsequent versions as well but many many folks to criticize pated and then the conversations online as we tried to tease apart the story of h.c.i. in a way that could be integrated into our delivery deliberations for a tire track so huge call out to shut up for that work as well and then within our own Georgia Tech community so Jim that key all of those folks who work within the subject futures and all of that work about telling g.b. use history at 25 years also came into the report deliberations so it's important to write our history because we take those historical documents and bring them into the larger narratives about why the computing research matters and why the work that we do has such a major impact in the community as a whole and then Major shout out to the many many g.b.u. students who carried their innovative work out into the world if you look at those $800.00 plus data points and you look at the themes of innovation across.

[00:44:44]
Graphics v e r r well Bodett ubiquitous computing cyber physical systems many of those threads are following a student who did great work in an academic setting and brought that work with them and bought those insights and innovation then that's just a major piece of how this ecosystem works.

[00:45:02]
So thanks to the committee again who worked with me and with each other just a fantastic collaboration to create the 2020 report Major acknowledgements to others who participated in this process so we have fantastic presenters great make sample the industries that I mentioned as well as folks to help us work with very specific sections of the report just greatly appreciated.

[00:45:29]
The report is available I think within the 30 seconds I have left in terms of you know looking back and reaching forward is one of the things that I have learned from this process. In addition to the unpredictability of when things will have an impact is to understand the importance for those types of trans disciplinary in or just like conversations and of course this is the foundation of g.p.u. as Jim Foley founded the Center over 25 years ago.

[00:46:02]
But to understand new mechanisms and new ways that we can support those those types of collaborative inquiries it was really exciting to see n.s.f. and others within the committee an academy move from this distinction of basic research and application research and the sense of the basic research is what goes at the bottom of the tracks but to this notion in a deeper.

[00:46:28]
Nuance around use inspired research and how use inspired research is fundamental research and it leads to transform Mary economic impact and setting up the environment so that these conversations can occur in the community is incredibly important to keep with that I will stop I think I've used up almost all the time but maybe there's a couple of questions that I concealed and just happy to continue to converse with folks online about the importance of this work and I hope to see you in person soon someday this year thank you.

[00:47:02]
Great thank you Beth Nissen fantastic fantastic talk we have about 3 minutes for any questions we could index at once Wendy so please put your questions in the chat I hope they will there will be some that I'll kick off with with one so I know that the report is kind of just out there's the whole lot going on in the short amount of time since it came out but I was just wondering if you've gotten any sort of early feedback or comments from the policy side what their take is on this new version.

[00:47:35]
Yes both good and bad you know the frustrating thing is of course when you work for something for 2 years you want to be perfect and then people point to the things that they think are best think but let me start with the good so I have been able to present this work to the size advisory committee within the n.s.f. And I also know that poncho nude and the step director has read that because I got to do a short video chat with him and he was waving a report in the camera and telling me how great it was so that's great so I know folks and those 7 others are really pulling in the details of this report and are especially excited about.

[00:48:16]
I would say 2 major portions one is the Complan side so being able to to walk into any staff or in any state in the country and say you care about agriculture you care about health care you care about the automotive industry here let me show you how investment in size makes a difference and so I think that gives huge power to those discussions when it may be hard to tell us staffers that you know producing you know the the next Google is what they want to do where are our industry is not quite as shiny as it was back in 22 over at the turn of the story so I think you know to talk about our are important across the board I think will be incredibly important the next part I think is the mechanisms so the really the importance of open source the importance of new forms of engagement between industry the importance of understanding the migration of students and faculty back and forth between universities and companies we need to become much more savvy about how those mechanisms can be supported and recognizing them.

[00:49:25]
Universities are resistant to change companies are very protective of their resources right so we need we need more language around Wouldn't it be great if you know very rich companies just dumped a lot of money on us so we could do what we want to do and so being able to understand how that collaboration place together I think matters I think what people miss the most is they love those lines where the red line started and that it clearly jumped an industry and clearly jumped in a product and the problem is that when you zoom out and you look at computing as a whole those dates don't really hold because there are because what you really see is the interplay so I think the language is moving away from where it happens in university and then Great things happen is that the psychology of collaboration is vibrant and important and if you nurture the ecology great things will happen it's more subtle people like the other message better but the data is true to this result.

[00:50:26]
We're almost out of time but I want to make sure we get what we're questions to Ben is actually a lot of those brother for leading this effort restoring it to the tire tracks our trucks are a great great way to Patricia street can you comment on higher power tar trucks to be used to guide future research.

[00:50:43]
So many of the lessons entire track hold true which is that the importance of an interest the pated results. Matters and I know that with n.s.f. and others has been a desire to maybe be a bit more prescriptive about research does and there's just so many lessons in tire track that say we were reporting a but what came out of it would be but b. is awesome so that that level of freedom and curiosity driven research and all that language about is incredibly important coupled with that is the use inspired research now that doesn't mean it's more prescribe but you since my research may have just as much of that created creativity in freedom but it's done in dialogue with communities that are not just computing communities and that you know Ben those in g.b. you notice but I think people lose sight of finding ways of having those conversations and what I was talking to folks for example in the automotive industry I could I we were hearing lessons about how there are some 3 watching laboratories that the computing community sets up and then figuring out how to hire those people are there they're waiting for is a start up the latest start up to come out of an animation group that wants to do cool films and then the startup fails and then they buy them to do great design work for for all you know automobiles we can do better than companies just trying to look over our shoulder trying to figure out like who to scoop up when the time is right much better to look at that you know.

[00:52:16]
I should ask one more question and this is the last one Jim pulley asks What other industry segments do you consider good not right up to the time space limits obviously could not do everything. So yeah we cannot do everything there is a whole space within the financial industry which we know is really important but we just didn't have the expertise on the committee or kind of the we were just limited in what we could do so we peeled off e-commerce but there's the rest of Commerce and the relationship to that.

[00:52:47]
You know the very beginnings of the 1st uptake of machine learning with detecting fraud within the credit card trade so there's an entire space for the e-commerce by itself and then I really wish we had more time but we you know 2 years is enough we did automotive but we didn't do transportation and I would love there's been so much great work about how she has this huge disruptive innovative force on not not looking at transportation as filed sectors but understand how self driving cars are getting going to disrupt regional airports for example so it we really need to come back and look at some of those areas are somebody needs to do that in the future so I think Great well we are overtime I want to thank the good so absolutely amazing work.

[00:53:36]
So it back will for our entire community we all thank you on her behalf Douglas really appreciate the opportunity Thank you Casey to your public by.