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Gregory Abowd, who joined Northeastern as the new dean of the College of Engineering this month, was trained as a computer scientist and mathematician; he comes to Northeastern as a former professor and endowed chair in the School of Interactive Computing at Georgia Tech.

The distinctions between engineering, science, and computer science have continued to blur and Gregorys work certainly spans all three, says David Madigan, provost and senior vice president for academic affairs.

At Georgia Tech, Abowd conducted groundbreaking research in ubiquitous computingthe concept that computing is anywhere and everywhere, omnipresent in our lives in a way that traditional desktop computing isnt. Internet-connected watches, refrigerators, and vehicles are just the start, and part of Abowds research is understanding the social impacts of such technology.

Hell continue that research at Northeastern with the same interdisciplinary approach hes used throughout his career. After all, in order to imbue something like a Post-It note with computing capabilities, computer scientists and engineers and scientists would have to work together to create a self-sustaining material to replace the silicon chip that supports most computing today. And societal needs and concerns from disciplines as varied as design and social science must inform these radical ideas of such computational materials.

The future of computing absolutely relies on fundamental engineering innovations, Abowd says. Whats driven computing, arguably, is the engineering capability of being able to produce better, faster, smaller, cheaper computing capability. So, you cannot expect the future of computing to keep advancing without having the right kind of engineering ingenuity, and the research and innovation to drive that engine.

Well, in general, when I got to Georgia Tech, I was a particular kind of researcher and I changed rather drastically. Within a year, I was very much influenced by the writings and vision of [computer scientist] Mark Weiser, who is considered the founding father of ubiquitous computing.

His vision was a form of computing that was off the desktop, that included a sensor-based exploration of what our world might be like. And this was a vision that he expressed in the late 1980s! It was a vision of what our world might be like if computers became more prevalent than they were at that time, if they were more than just desktops and personal devicesif they became more part and parcel of our everyday activity and were embedded in our physical environment in such a way that we didnt even notice where they were all the time.

I was revisiting that vision around 2015-2016, in the context of new technological capabilities, particularly in additive manufacturing, and in the development of nano-electronic devices.

Yeah, so lets take the phrase internet of things. So, when we say internet of things today, its typically about taking existing pieces of technology and adding a network capability to them so they can connect with other pieces of technology. We are not talking about say, a Post-It note, or a cup, or a shirt, or a pair of glasses; were not thinking about what comes to mind for most people when you say thing.

Im interested in making thingsentities that we are familiar with in our everyday physical worldthat have the capabilities of sensing, computing, and communicating, so that you can achieve Weisers vision.

He had two very eloquent sentences at the beginning of his book, The Computer for the Twenty-First Century. He writes, The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life, until they are indistinguishable from it.

He meant that metaphorically, but you can actually start to think about that more literally, by manufacturing computational capabilities into things; by literally weaving them in or manufacturing them as part of how you produce a piece of paper or Post-It note. Thats what I mean, thats what weve been exploring in my lab, and its starting to grow around the world, this whole notion of computational materials.

Oh, theres a ton of them. Data engineering is a huge industry, the cloud, and Big Data, and all that. And big companies are investing a lot of money, to the tune of maybe a billion dollars a month, to maintain and build data centers. And this is projected to be something like 20 percentof the worlds energy supply to feed the power needs of these data centers.

So that is seriously an engineering challenge to say, How can we reduce the energy reliance for what appears to be an insatiable desire to get more data, and to handle that more data and to infer more things from that data? Thats why Im so interested in these kinds of self-sustaining computational solutions.

But more important is what this allows us to do. In parts of the world where power is not an assumed resource, you need self-sustainable capabilities. And, the price of computers, as much as its gone down, is still not inexpensive. So to address those kinds of grand-scale problems, you really do need very cheap, self-sustaining solutions to gather that kind of information.

Additionally, any time were talking about collecting data, we need to be thinking about the kind of world we want to enablehow we put the right kinds of checks on it.

On the more humanist perspective, Im very fortunate to be raising two boys on the autism spectrum. That has infused in me a kind of compassion and understanding of neurodiversity. People are wired differently, they think about the world differently. And it is almost always the case that you cannot discern how someone is wired by just observing them or talking to them.

So, if someone does something that seems odd to you, or unnatural or inappropriate, our initial reaction is to think negatively about them, as opposed to considering that they just might think differently about the world.

Well, Ive talked quite a bit about my research and computation materials, and its true that I will remain as much as possible a very active researcherthat curiosity doesnt die, you know.

But I realized that you cannot be selfish in this kind of position, you have to be thinking about whats good for the College of Engineering, whats good for Northeastern. This is something thats influenced by my upbringing. Im the 10th of 12 children in my family, so being in a large family, I understand that its never just about me, it has to be about the community.

Im coming to Northeastern to help it continue to thrive and to help it to strive to be better.

Lets start with co-op.

When you are trying to learn something, it helps a lot to learn in a variety of different modes. You have theoretical, foundational learning that you do in the classroom, but then to understand how those lessons are relevant outside the classroomthats what the co-op experience is all about, to me. You learn how your skills apply to other parts of the world in useful ways, and when youre exposed to other parts of the world, you recognize what else you still need to learn.

So I would hope what really comes out of a co-op experience is that people realize that for the rest of your life, youre going to be doing both of these things: Youre going to be learning new things, and youre going to be understanding how it matters in the context.

And that never ends; you dont end your education, then go into the workforce, and never learn any new things. So, to me, thats really the strength of this kind of experiential learningthis play between learning and doing and understanding how the things you learn are relevant not only to enriching yourself intellectually, but helping you be a connected player in the world.

Yes, so clearly its important from the experiential learning perspective to have partnerships with industry leaders, but Ill also be a little broader than just talking about industry. You have to take into account your local situation, and build off the strengths of whats local.

So when you talk about industry, particularly with regard to Northeasterns Boston campus, you look at what the strengths are locally. In Boston, there are tons of industries: Medical, robotics, biotechnology, the list goes on. My view is not to ignore the local expertise and industry, eventhough were in this highly connected world where we have access to people and ideas everywhere.

Of course, we just spent a year in a pandemic where weve been forced to be remote, but I think fundamentally, it is easier and more natural for us to work face-to-face with people. And when people are closer to you, you have more of an affinity with them.

All this is to say, understand your local environment and take advantage of its strengths.

Well, as I mentioned earlier, I have a personal experience with neurodiversity, which, I think, is a particularly interesting form of diversity, because its for the most part invisible. And when it makes itself visible, its usually highlighting differences that people have negative reactions to. But, having raised two boys who are neurodiverse, Im highly attuned to, and very sympathetic about, peoples neurodiversity.

And thats crucial because having different perspectives really helps you think through tough problems. When I was talking earlier about being an out-of-the-box thinkerbecause I was never in the boxthats just admitting that diverse perspectives help you come up with different ways to attack problems. And there are problems that have been with us for a long time, and are begging for different perspectives. Clearly, if a problem still persists, then it requires different kinds of thinking to solve. And people who come from different backgrounds, different experiences, a different part of the world, different cultural experiences, different religious experiences, have a different way theyre wired. All those can all help think creatively about particular problems.

One way to nurture a diverse environment is to ensure that there are appropriate role models. So, you need faculty who represent all these different perspectives, and you also need faculty who are excellent and feel supported. And youve got to balance all of these things.

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Gregory Abowd is a computer scientist. That's what makes him a great fit as new dean of the College of Engineering. - News@Northeastern