Data Discovery with NASA Datanauts - Spring 2018

M A G A Z I N E

DATA DISCOVERY A VOYAG E TO TH E FUTU R E O F DATA S C I E N C E W ITH N A SA DATA N AUT S

SP R IN G 2018

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I will always want to do more with the NASA Datanaut community, whether it is attending watercooler chats, hopefully and finally organizing events with local education groups or just learning more about community members passions and research. During my maternity leave, I would try to squeeze in whatever sessions I could between naps. When a guest speaker introduced the group to evolutionary robotics, I was able to watch alongside my 6-year-old daughter.

Representation matters. Her hearing a group of diverse people talk with a women about her research in robotics has validated her love of inventing, creating and her belief that there is a place at NASA for her.�

- AMANDA CASARI (2016 CLASS)

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My experience has been amazing. This program has afforded me a wonderful and rich network of women who enjoy long-lasting learning and exploring ways that they work with community to advance data exploration. Access to the NASA datasets is such a value add. I really enjoy experiencing the diversity in the watercooler chat offerings. Excellent program.�

- LO RE T TA H . CHEEK S , PH . D. (2 016 CL A SS)

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I have enjoyed every step of the class. I wish it never ends! Watercooler chats have been amazing, I really liked the continuity of R classes and also, the more advanced chats, like the last one from Nvidia. I also have enjoyed working on my project… I’ve met wonderful people, which includes not only community members but NASA people. I hope to keep participating in chats and working on NASA data because I absolutely love this community.”

- BEA HERNÁNDEZ (FALL 2017 CL ASS)

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WELCOME

As we usher in 2018, we have much to celebrate from 2017. Our progress last year serves as the scaffolding for the new year. As we welcome new team members to this year, we anticipate new ideas, new collaborations, new discoveries, new accomplishments -- balanced against the reality of new challenges, new frustrations, and new barriers. But, isn’t that what makes life so interesting? As a career federal civil servant, I love that we’ve been given the opportunity to do good work again this year.”

B E T H ’ S O P E N N A S A B LO G ABOUT THE STELL AR DATA Y E A R A H E A D

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- BETH BECK, NASA

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AT T H E FA L L 2 017 DATA N AU T K I C KO FF, L E S L I E B I R C H I S I NTRO D U C E D BY FE LLOW DATA N AU T N A D E W K I B R E T.

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WATCH AN INTERVIE W WITH LE SLIE B IRCH FROM THE FIRS T DATANAUTS DIG ITAL MAG A ZINE

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N A S A’ S D R . G A I L A L L E N , A S T R O N AU T A LV I N D R E W, A N D R E N E E W Y N N W E R E A M O N G TH E G U E S T S TO WE LCO M E TH E DATA N AU T S TO N A SA H E A D Q UA RTE R S . ( P H OTO C R E D I T: M AT T S C OT T )

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INSIDE I. T U R N I N G YO U R N E W F O U N D L O V E I N T O YO U R C A R E E R 15

II.

D A T A F O R T H E C O M M U N I T Y 17

III.

R E D I S COV E R IN G T H E B I G B L U E M A R B L E 19

I V.

D E F Y IN G IMP O S T E R S Y ND R O ME A ND R E ACHIN G O U T 21

V.

DEEP LE ARNING, E A S Y A S PIE 23

VI.

FUTURE OF DESIGN IN A CONNECTED WORLD 24

VII.

WOMEN OF NA SA LEGOS, A SIGN OF REPRESENTATION 30

VII.

DATANAUT S Y E ARBOOK 34

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DATANAUTS CLASSES FOUNDING CLASS

2016 CLASS

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SPRING 2017 CL A SS

FA L L 2017 CL A SS

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T H E D ATA N A U T S T E A M O F ( L E F T T O R I G H T ) L O R I PA R K E R , R O N N I E P H I L L I P S , E LY S S A D O LE (S ECO N D M US E ), B E TH B EC K , M AT T S COT T (S ECO N D M US E ) A N D N E I SA N M A S SA R R AT (S ECO N D M U S E ) S TA N D S TO G E T H E R AT T H E FA L L 2 017 K I C KO FF. ( P H OTO C R E D I T: M I C H A E L P O R T E R FI E L D/N A S A )

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EDITORIAL TEAM EXECUTIVE EDITOR

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M a t t S co t t

DESIGNER

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N ik k i M c L a y

EDITORIAL CONTRIBUTORS

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D a v a r A r d al a n Beth Beck C a r r i e Fr e e m a n N eis a n M a s s a r r a t L o r i P a r ke r Ve r o ni c a P hil l ip s

SPECIAL THANKS

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A n d r e w A d r ia n Fai t h C h a n d l e r Shobhana Gupta D a n O ’ N eil

G al e A l l e n A n t h o ny B u o n o m o J a s o n D u l e y

Michelle Easter

Yu l a n L in

David Meza

M ike S e a b l o m

B e t t e Si e g e l

B r ia n T h o m a s

Re e m A l a t t a s

Ve t r ia B y r d

Kei t h C o w in g

A l is o n L o w n d e s

Sy u zi P a k h c h y a n

W W W.OPEN . NA SA .GOV

@OPENNASA

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I. TURNING YOUR NE WFOUND LOVE INTO YOUR C AREER B Y R AY N E W B Y ( FA L L 2 0 17 C L A S S )

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teacher’s job isn’t just to instill knowledge into the minds of students but to create passion in their hearts. I spent years as an English teacher, but I was never about to do it as much as I would have liked. To be fair, it is a little hard to get excited about grammar and phonics. However, on the occasions when I could teach a great work of literature I knew that my passion showed through, and I hoped to pass it on to my students. The desire to spread the love of their subjects is often forgotten by teachers, but we can all recall those special teachers and professors who helped get us caught up in the excitement of learning. And for the luckiest of us, we carried that newfound love into our careers.

I was never passionate enough about teaching, so I set about searching for a new career. I’m still working to discover what I want to do, but I realized that I want to try to spread joy through data. Data can represent so much in life. They aren’t just sets of numbers, but they can tell a story. Data can help people to see something they never knew was there, and perhaps stir up the desire to use that subject to learn more or take action.

In a recent assignment for a graduate class that I took this term, I needed to use R to visualize geolocated data. The point was learning to visualize this sort of data, but I used the opportunity to comb through

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Data can represent so much in life. They aren’t just sets of numbers, but they can tell a story. Data can help people to see something they never knew was there, and perhaps stir up the desire to use that subject to learn more or take action.”

- R AY NE WBY (FALL 2017 CL A SS)

NASA has done such an amazing job of compiling all sorts of data and making everything free and accessible to the public. The least I can do is to try to make sense of some of it and try to bring it to life in a new way. I hope we Datanauts can pass along our discoveries and projects to others. And maybe some of these people will find what they love and become the next generation of scientists, entrepreneurs, and leaders who are driven by their passions to improve the world and contribute to the awesome power of open data. ★

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NASA’s Open Data Portal for something that interested me. I ended up using the Global Landslide Catalog data to map recent landslides in the United States. I found it fascinating to see that so many landslides occurred in my country and that people sometimes died during these events. The only news coverages that I can remember were massive mudslides in third-world countries, never in my own. I wonder who else would be intrigued by this subject, maybe even enough to design a mudslide hotspot app with tips for staying safe and passing knowledge along.

WATCH AN INTERVIE W WITH R AY NE WBY

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II.

DATA F O R T H E CO M M U N I T Y

BY J O R D I FR A N K ( FA LL 2 017 C L A S S)

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personally think itʼs important for data scientists to serve their duties to the public. The analysis and usage of data is becoming increasingly important as we advance as a society, and it should be our mission to use the skills that we have to inform the general public of changing trends of multiple avenues in their respective communities.

This is why in the future, I would like to create a centralized data sphere for my own community, so that they can know the changing trends and statistics of the community. For example, housing trends are changing constantly in my neighborhood, but there isnʼt any centralized way to know exactly how market prices are inflating and/or deflating.

Itʼs important for homeowners to know the general trends in order to make an informed decision on

whether to sell their house (for the right price) or to keep it. There are also environmental factors in our communities that people havenʼt a clue about.

The Urban Heat Island Effect greatly affects lowincome neighborhoods compared to higher-income neighborhoods, because of (but not limited to) constant (housing) development, factory fumes, and lack of “green spaces” around the community.

If people knew all of the changing factors in their communities in one place, where communication would not be a hurdle to jump over, they would be ready and armed with the information to solve each issue in the community that needs to be fixed.

Having a centralized space where data is updated frequently or in real-time can make the “issues-tosolve” pipeline easier and a better use of time.

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Three members of our Fall 2017 class share insights from their NASA Datanauts journey...

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III. REDISCOVERING THE BIG BLUE MARBLE

BY I N E S H U E RTE S ( FA LL 2 017 C L A S S)

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used to be one of those kids fascinated with space. I could spend hours lost within my thoughts, astonished by the picture of the big blue marble. You see, space image analysis was traditionally performed through image processing, using simple methodologies based on light intensity, but it’s only now that deep learning techniques are pushing forward these disciplines and taking data analytics to a whole new level.

webcam pictures, in transport optimization projects for smart cities, or digital transformation projects for Industry 4.0. Could I combine the potential behind these technologies, and perform image processing over satellite images? Would I be able to detect deforestation patterns, human migrations, and massive waste sources? Those questions were the beginning of a epic quest!

Guess at some stage staring at the picture just wasn’t enough, and I eventually grew eager to take part in the preservation of that big blue marble. With this goal in mind I began my very own business, a company focused in Big Data and Artificial Intelligence. On the personal side, I always felt compelled towards image processing, which I used to measure population density upon

And in every epic quest the main character has powerful and supportive allies to assist her through the ordeal ahead. In this story, those were my R-Ladies.

Smart, resourceful, and as awesome as anybody, they encouraged me to take the first steps on my journey, they fueled me with the courage to approach NASA in order to request access to their data. Inconceivable!

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After many years observing the big blue marble, I still find myself fascinated over it and the new lengths of understanding that the world of data, and Datanauts, are opening for the everyone to witness.�

Not only did they comply with my request, providing updated, processed, and aggregated pictures, both from specific geographical regions and the globe itself, but I was soon able to explore their endless pool of data archives using deep learning techniques. I just couldn’t believe it, I felt like a child in candyland.

And here we stand, still learning about satellite images, which are a complex yet useful tool in order to better understand the world that we live in. Hopefully, the new methodologies within image processing will help us better evaluate the impact of the threats the globe is currently facing.

- INES HUERTES (FALL 2017 CL ASS)

After many years observing the big blue marble, I still find myself fascinated over it and the new lengths of understanding that the world of data, and Datanauts, are opening for the everyone to witness.

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I V. DEF YING IMPOSTER SYNDROME AND REACHING OUT

BY NUJCHAREE “PED” HA SWELL (S PRING 2 017 CL A SS)

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live and work in North Yorkshire, UK in a very picturesque town called Northallerton. As a Data Intelligence Specialist, I love doing things with data for social goods for my local county council. A couple of years ago I consider a career transition into Data Science. The journey started with plenty of late night self taught R programming via MOOCs, attending numerous tech meetups, podcasts, etc… Of course I felt like giving up at times and during that self doubt phase I came across the NASA Datanaut program by chance, so I applied and I am so grateful that I was selected to take part in the Spring Class 2017. Here I have met so many inspired individuals who like myself have been through this journey before.

I have learned a lot about data science via weekly watercooler chats through samples of real life data science applications as well as gaining knowledge about OpenNASA. One of the benefits of taking part

in this community is that I don’t need to go through this journey alone, there are other datanauts who are willing to help and support me. This friendly community makes me feel more confident in pursuing my dream of becoming a data scientist.

Fast forward 10 months since I joined the community, I am now in the current cohort of a data science accelerator program, a training program led by the UK’s cabinet office to assist the public sector in delivering a data science project. My project is to understand local health and social service users needs by applying NASA Datanaut Julia Silge’s tidytext package in R to analyse case and visit notes in order to unlock hidden insight and improve service delivery.

I am grateful for NASA Datanauts to give me an opportunity to learn and gain confidence. I feel I have finally found a community that I belong.

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I started my career transition from business intelligence to data science a couple of years ago. At the beginning of the process, I have wanted to give up at times and suffered from ‘Imposter Syndrome’. I was deeply grateful to be accepted as a NASA Datanaut for Spring Class 2017. Since starting the journey with other Datanauts in January 2017, I have learned about real-life data science applications through water cooler chats and have had opportunities to collaborate on project ideas. It is a great, supportive network that I can access despite being across the Atlantic Ocean.”

- NUJCHAREE HASWELL (SPRING 2017 CLASS)

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V. DEEP LEARNING, EASY AS PIE

BY RESHAMA SHAIKH ( FA LL 2 017 C L A S S)

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have I have been interested in working on a project related to image analysis. NASA has many open datasets with images, and my next step was to become familiar with the current state-of-the-art method for image recognition, which is deep learning. My search led me to fast.ai.

Fast.ai’s goal is to make deep learning accessible to the masses. They had a class running in SF in the Fall of 2017. Fortunately and most importantly, the program also allowed those who are interested but not based in San Francisco an opportunity to attend the lectures online and it made available all course materials including an active and vibrant community. I learned of the fellowship through a data science connection of mine. With just 2 days before the deadline to apply, I applied and I am happy to say, I was accepted!

As someone who has studied math, then statistics, and then data science, I have been exposed to the traditional way of learning in the STEM field. But this program had a “top down” approach to learning. Deep learning can dramatically improve applications in all fields, and this method of teaching has been phenomenal and fast.

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My favorite part of Datanauts is the community. I love learning from the other Datanauts in our watercooler chats and exploring their work in the Facebook group! I also have fun learning from data scientists at NASA and applying my mind to the problems they are trying to solve.�

- NADIA CHILMONIK (2016 CLASS)

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VI. FUTURE OF DESIGN IN A CONNEC TED WORLD B Y D R . K AT E S T O N E ( F O U N D I N G C L A S S )

I love being part of this community, a wonderful collection of inspiring people covering many areas. It’s a privilege to be part of this growing group. It’s inspiring for me to know that there is such an interest in exploring how we can combine creativity with data to find ways to more effectively communicate.”

- D R . K ATE S TO NE (FOUNDING CLASS)

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verything around us can be considered to have two components; the things we see and the forces between that hold those ‘things’ together or the ‘thing’ and the ‘no-thing’. The former is visible whilst the other can only be observed by the effects it causes. I think about this as someone who studied engineering and physics and now uses creativity to design and invent technology for the creation of new products. It makes me think less about the products or the technology itself and more about the effects they cause. For example: how they impact our lives, make us feel, connect us and the impression or memory they leave behind.

It is only data that can objectively make sense of all this. Data doesn’t discriminate, it sees beyond our perception of reality; it observes and captures. When looked at collectively data paints a picture. Not just of the physical objects but provides a peek through the gaps revealing the forces in between. This allows us to explore what is around us through the lens of data and paint a picture that helps others see the world in

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a different light; this is what makes us datanauts. From this perspective I started to think about our journey as humans, the difference between the mind and the brain and to question reality.

Since the beginning of the human experience we have discovered, invented and designed ways to make our lives easier, safer, and better connected as well as amplify our strengths and abilities. We learnt how to make fire. We invented the wheel.

And then went on to forge the plough, the printing press, the telephone and the computer. Along the way our lives have became richer, with more time to think and connect with each other. And as a result, our society and level of sophistication has grown. However, we are reaching a tipping point, many of our daily tasks have been made so easy that they require little or no input from us. At the touch of a screen or from sound of our voice a device can order our groceries, deliver cooked food, bring transport or even entertain us; effectively making us surplus to requirements in our own life!

Whilst the brain is an organ limited in size by the skull our mind can be considered to extend outwards of our head and body with a limitless potential to become part of everything that surrounds us. Everything we see and do, the people we meet and have connections with or even the weather or passing of time are all part of our mind. Our journeys and conversations form a part of how we think, develop our thoughts and ultimately are how we are connected into our environment and each other. This is reflected in our language, for example, we might remember events by saying we take a trip down ‘memory lane’. Someone who does not consider the benefits of exploring diversity of experience, people and cultures is said to be ‘small minded’; your world is your ‘mind space’.

The more we disappear into our devices the more we disconnect from the perceived reality of our shared physical world.

Because if the physical world and our journey through it is a large part of our mind then we are effectively losing our minds and becoming mindless the more we lose touch with what is physically around us. Two experiences that are incredibly important are process and ritual. Processes and rituals such as preparing food, chopping wood or walking to work take our mind on a journey and prepare us to transition from one mental state to another creating space for new thoughts to develop or existing ones to grow. The importance of our physical journeys through each day cannot be underestimated, they are a large part of how we think, remember and connect.

It is ironic that the point we finally remove all friction from

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mind, that we must to start design products, and processes entirely differently.

the human existence is also the point at which we will no longer have any sense of that very existence and what it means to be human.

We could start to design in a way that does not pursue technical capabilities but rather seeks to create magical experiences. Design in a way not just with a user experience in mind but in a way that creates mindful, meaningful and memorable experiences. Furthermore, let’s not just design to make someone’s life easier, we could design products and experiences that make people’s lives more difficult!

Because it is the friction throughout our day makes it memorable. We crave the process and interaction. Case and point, we made creating, sharing and consuming music so easy that we have now gone back to desiring the inconvenience of vinyl! Let’s not just have the user in our thoughts but the user’s mind and how we all connect with a greater sense of purpose, the environment we live in as well as everything else that is in it. And let’s do this before we all lose our minds and possibly a whole lot more.

Although we may have lost our way, there’s hope and I’m actually quite excited about where this takes us next!

We are in a time and place of great change, we are like adolescents about to go into a new phase of our life. We are entering a world were nearly every basic need can be met without an effort, where we are safe and effectively have superhuman abilities! In this world nearly every physical object will have the potential to respond to touch or some other sense, is connected, gathers data and is part of a cloud based artificial intelligence; I call this giving an object a digital soul. Our spaces and places will be connected, sentient and sapient i.e. can feel and make wise choices. It is with this insight and a knowledge of how important human process and ritual are, combined with an understanding that all these objects are a part of our

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One semester as a NASA Datanauts has been a data blessing. I’ve learned about NASA archives that are open to public. Those archives are great. If not for this program, I would have never known these resources and would not have had the chance to explore and share what I know with my community.

Sometimes, I go to those archives and look at the stars. I make short videos in my own language, Turkish, for others like me who are not astronomers by training but cannot stop looking at space.�

- AYBUKE TURKER (FALL 2017 CL A SS)

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Thanks to Datanauts, I was able to get a crash-course in data science by some of the most passionate data scientists from NASA and from other prominent organizations/ companies. Watercooler chats, while some were advanced, really helped me learn and see further applications of various tools. Data science is a wonderful journey, and I still have a lot to discover. I appreciate the opportunity, and I will continue to read, and learn more about this exciting field in the weeks to come!�

- GUNPERI SISMAN (FALL 2017 CL ASS)

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My favorite thing about being a NASA Datanaut is the community. I’ve met amazing people from all over the world (online and in-person), with diverse backgrounds, on different stages of their careers, and that’s been a fantastic experience. We share knowledge and experience in a very relaxed environment in which I immediately felt comfortable. We’ve built a tight-knit community of people who truly care about each other. You also get exposed to a lot of topics and technologies in the half hour watercooler chats and you are always learning something new (and also say hi to everyone, always a plus!). I love being a part of this community!”

- DANIEL A VA ZQUEZ (SPRING 2017 CL ASS)

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VII.

WOMEN OF NA SA LEGOS, A S I G N O F R E P R E S E N TAT I O N B Y M AT T S C O T T ( N A S A D ATA N A U T S S T O R Y T E L L E R )

Honoring these four pioneering female space scientists and astronauts is important, you recognize how much influence a toy can have especially for inspiring our next generation of future explorers.”

- JENNIFER LOPEZ (FOUNDING CLASS)

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ecently, LEGO introduced the Women of NASA LEGO set, a first-of-its-kind celebration of these space pioneers, encouraging kids to “build, play and learn from inspiring women of NASA”, according to the product’s description. The set features four innovative scientists and engineers: the “Mother of Hubble” Nancy Grace Roman, Apollo 11 lead software designer Margaret Hamilton, the first woman in space Sally Ride and the first AfricanAmerican women in space Mae Jamison. It was designed by geologist Dr. Ellen Kooijman, who was recently joined by NASA Datanauts Cindy Chin (2016 Class) and Jennifer Lopez (Founding Class) at the LEGO store in New York as they rang in the launch of the new set.

A B OV E : Tim Courtney and Maia Weinstock of LEGO pose with Datanauts Jennifer Lopez and Cindy Chin.

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“Independently, I am a big fan of NASA and its work in advancing technologies, earth observation, and human space exploration.

I’m also a big fan of LEGOs having played with them as a child and to see them re-enter in my life as a mom. But combining them both and recognition of women’s contributions to NASA’s work and history is like seeing everything line up in a discovery of a new star, my childhood and present all wrapped up into one. It’s a wonderful time for women in science and technology and I am certain that it will inspire future generations of girls AND boys to come!”

- CINDY CHIN (2016 CLASS)

A B OV E : Datanaut Cindy Chin poses

with creator Maia Weinstock.

FA R L E F T: Hazel Kavili poses with an astronaut statue at NASA Headquarters. This fall, she shared pictures of her Women of NASA set.

The Datanauts initiative is a great opportunity for me to connect with people from different study and work fields around the world. Seeing how people work enthusiastically with data makes me feel motivated. After the kickoff at NASA headquarters, I’ve kept in touch with people on watercooler chats and have learned about popular topics in the field. I personally learn alot from these chats, such as how to get NASA data or making cool plots with plots extensions, while asking questions directly to experienced people, which is so helpful. Nowadays, I aim to learn JSON format to work with NASA data by myself. I am still learning.“ -HA ZEL K AVILI (FALL 2017 CL ASS)

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TWEETS FROM

DATANAUTS

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JOIN THE CONVERSATION

#NASADatanauts

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MEET THE

DATANAUTS Reaching higher and exploring deeper, our NASA Datanaut community is engaging with each other and subject matter experts to explore the world of data.

2 015 ’s F O U N D I N G C L A S S :

ARIEL

BETSY

DR . K ATE

HILARY

JENNIFER

J E R E LY N

WALDMAN

LANGOWSKI

STONE

MASON

LOPEZ

RODRIGUEZ

JULIA

JULIA

LEA

LEAH

LESLIE

MAAIKE

KIM

VALLER A

SHANLEY

GILLIAM

BIRCH

DOYER

MAIA

MARIA

MARIANNE

RACHEL

SASHA

TIFFANY

HANSEN

ZAGHI

MADER

GORDON

LAUNDY

LINZAN

VANESSA HURST

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2016 C L A S S : AARON

ALEXIS

K A M H O LT Z

CHAN

AMANDA

ANALISA

ANNETTE

BRIANA

CAITLIN

CHENEY

CASARI

BALARES

PONNOCK

VECCHIONE

GALLAGHER

LY FO R D

CHEYENNE

CHINASA

GAIMA

OKOLO

CHRISTINE

CINDY

PHU

CHIN

DANIELLE

DR. JULIA

DR. JULIA

DR.

DR. NOEMI

E M I LY

GERVALIS

PAP

SILGE

NANNETTE

DERZSY

BARRY

CLAIRE

CRYSTAL

KELLING

FRANKLIN

NAPIER

GREGORY

JEFF

JULIA

JULIE

KAIRA

KAREN

SKLAR

KEETON

KARKOWSKA

KNIGHT

VILLANUEVA

LOPEZ

KAROLINA

K ATIE

KERRY

LEXI

KUMIEGA

ERICKSON

BENJAMIN

BASANTIS

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NADIA

OLIVIA

CHILMONIK

ROSS

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RALITSA

RUBY

RUTU MULKAR-

SIMON

SIOBAHN

TINA

VELIKOVA

CHILDS

MEHTA

BERMAN

DAY

LAI

TUNISIA

VICTORIA

MITCHELL

RUTLEDGE

TING

TRACEY

LI

BIRCH

Z ARA LEVENTHAL

S P R I N G 2 0 17 C L A S S :

ALEISHA

ALEXANDRE

ALICE

AMANDA

AMELIA

AMY

JETHWA

A LV E S

LAI

GOONETILLEKE

MCNAMARA

XIAO

ANGIE

AURIEL

BRANNON

BRIT TANY

BROOKE

BRUNO

JONES

FOURNIER

VEAL

WALKER

FITZGERALD

G O N Ç A LV E S

CAMILLE

CHRISTINE

CORAL

DANIELA

ELAINE

ELISE

RAMSEUR

QUINTANA

SHELDON-HESS

VAZQUEZ

ZHANG

DANG

36

DATANAUTS DISCOVERY

ERIN

EVA SZ ADECZK Y-

EVANGELINE

HAMZE

IMANO

JASMINE

GRAND

KARDOSS

GARREAU

DOKOOHAKI

WILLIAMS

DUMAS

JAY

JEAN

JHUN RHENZ

LAURA ANNE

NJOROGE

JOSHUA

KAELEN

MAHABAL

MARTINEZ

BUTNER

MEDEIROS

EDWARDS

LAURA

LAUREN

LOGAN

LUCY

MADO

MALINA

DECICCO

OLDJA

GALL AWAY

MCGOWAN

KELLE YAN

KEUTEL

MARIA

MELISSA

MICHELLE

NIKI

NUJCHAREE

RENEE

MENICOU

FABROS

CASSEL

ATHANA SIADOU

HASWELL

GENNARELLI

ROBERT

SARA

SIAN

TA SHAY

THOMAS

WENDY

ROVETTO

GEE

PROCTOR

GREEN

LAROCK

EDWARDS

WIEBKE

МАРИЯ

HURRELMANN

ШАМОТА

37

DATANAUTS DISCOVERY

F A L L 2 0 17 C L A S S :

ALICE

ALLAN

ANITA

AYBUKE

BE ATRIZ

PEVYHOUSE

ANZAGIRA

KIRKOVSKA

TURKER

HERNÁNDEZ

BLAIR PALMER

BRETT

BRIDGET

BROOKE

CAITLIN

CARLEY

CAROLINA

JOHNSON

CARBERRY

WATSON

HUDON

JACOBSON

HADAD

CHING

ERIKA

GAYATHRI

GÜNPERI

HAZ EL

HE ATHER

CHANG

BAKSE

SWAMINATHAN

SISMAN

K AVILI

ALES

HEIDI

ICHSAN

INES

IRENE

JENNIFER

JESSE

TEBBE

HARIADI

HUERTA S

CHEN

THOMPSON

PONNOCK

JORDAN

JORDI

KELSEY

LAURA

LIDIA CONTRERAS

LILIAN

LUI

FRANK

HUTCHISON

DOYLE

OCHANDO

HUANG

38

DATANAUTS DISCOVERY

LISA

MARIA

MARK

MARTHA

MARYAM

MAT T

WINTER

FILIPPELLI

WOODLAND

ROTTER

JAHANSHAHI

BREALEY

NADEW

NORMA

OC TAVIO

OLINA

OLIVIA

PAULA

KIBRET

PADRON

G IANATIEMPO

SULAK

CHEN

A LV E S

R AY

RESHAMA

SAMA

SANJU

SHANNON

SONALI

NEWBY

SHAIKH

RAO

BALASUNDERAM

HICKS

GUPTA

STACIA

TANIA

VARGA

ALLARD

39

DATANAUTS DISCOVERY

S P R IN G 2018 CL A SS:

AGNES

ALICE

ALLISON

A LYS S A

AMANDA

SALANKI

ALLEN

GR AY

COLUMBUS

DOBBYN

ANGELA LI

ANKUR

BEN

BERNADETTE

C ATHERINE

DALOHA

DANIELLE

GARG

NOBLE

BOSCOE

NELSON

R O D R I G U E Z-

CHEN

MOLINA

FIG

DAVID

DONIA

EDWIN

E M I LY

ERIN

BLACK

ROBINSON

ROGERS

CARLSON

MCCABE

FLORENCIA

HIMA

ISABEL BERNAL

J AC Q U E LY N

JASMINE

JASMINE

MANGINI

TK

GÁNDARA

NEAL

MITHANI

WILLIAMS

JENEE

JESSICA

JIMMY

K ATHY

LAURA

DANA RON

MINNIER

LIN

JOSHI

WOMMACK

40

O ’ R E I L LY

LJ RICH

DATANAUTS DISCOVERY

LUISA

MAIA

MARGARET

MARY

MARY VAN

MAT TEO

REBULL

CONRADO

SCHWEIHS

JONAH

VALKENBURG

LUISI

MELISSA

MYRA

NANCY

PARSHATI

REEM

RIVA

MACGREGOR

HAIDER

GAMELIN

PATEL

AL AT TA S

QUIROGA

SARAH

SEWARD

SOUMYA

SUSAN

VETRIA

VICTORIA

MESTIRI

LEE

KALRA

MCCALL

BYRD

VALENCIA

MORE

Learn more about our newest class, the Datanauts Spring 2018 class, here.

ZAIRAH MUSTAHSAN

41

#NASADatanauts The top countries #NASADatanauts has been used in are the United States, Canada, Germany, the United Kingdom, Argentina, Chile, Spain, Uraguay and Italy. The 2,750+ Twitter and Instagram posts using the hashtag, shared by 64% women and 36% men, have reached 3.2 million people.