Data Discovery with NASA Datanauts - Summer 2017

M A G A Z I N E

DATA DISCOVERY A J OU RNE Y THROU G H THE N A SA DATA N AUTS U NI V ER S E SUMMER 2017

While attending virtual events and coding tutorials at Datanauts, I have been developing a polynomial set and a corresponding data analysis method that allows optical wavefronts or surfaces to be reconstructed from their measured gradient data. This will be especially useful for freeform and high spatial resolution surfaces, such as telescope mirrors; as this method allows for thousands of polynomial terms to be generated and used, even with limited computing resources.�

M A H A M A F TA B , N A SA DATA N AUT

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WELCOME

B

orne out of NASA’s Women in Data initiative, Datanauts is an international community of people interested in developing data science skills through access to and use of NASA’s open data. As of August 2017, Datanauts has grown into an ecosystem of 150 participants from a wide range of backgrounds. Our activities encourage collaboration between members, the merging of ideas, and skill-sharing.

The Datanauts community is composed of designers, developers, data scientists, students, storytellers, career transitioners, nonprofit managers, community organizers, and entrepreneurs. The NASA Datanauts initiative would be nothing without the passion of these contributors. What unites us is a belief that solutions to today’s problems require input from people from a variety of experiences and that problem-solvers need a supportive environment to grow ideas and learn and test new skills.

In this first ever NASA Datanauts magazine, we will look at our participants and celebrate the products of their collective inputs, shaping their experiment along the way.

THANK YOU FOR READING LORI PARKER, NASA

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CONTENTS

DATA AND COURAGE

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DATA AND CREATIVITY

DATA AND CARVING PATHWAYS

DATA AND COMMUNITY ENGAGEMENT

DATA AND CURIOSITY

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THE DATANAUTS CLASSES

P I C T U R E D : Datanauts Cindy Chin and Jennifer Lopez

were in attendance at Space Apps NYC with a number of Datanauts including Analisa Balares (photo credit).

EDITORIAL TEAM EXECUTIVE EDITORS

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D a v a r A r d al a n Ely s s a D o l e 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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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

G al e A l l e n

Anthony Buonomo

Fai t h C h a n d l e r

J a s o n D u l e y

Michelle Easter

Yu l a n L in

David Meza

D a nie l O ’ N eil

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

Shobhana Gupta

W W W.OPEN . NA SA .GOV

@OPENNASA

You know, you should take a look because the people that you think might be the next people, it might not be them. It might be others that you just don’t see.”

CADY COLEMAN, FORMER NASA ASTRONAUT

To solve the pressing issues of the day, we need diversity of minds, data and technology, alongside collaboration. Creating the safe spaces for women to explore, learn and be encouraged in the fields of data and technology is critical in cultivating diversity and collaboration. Datanauts is a shining example of how this can be done.”

CARRIE FREEMAN, SECONDMUSE, FOUNDING DATANAUTS ORGANIZING TEAM

DATANAUTS STORIES

AND COURA

GE

Watch interviews with NASA Datanauts, facilitated by Datanauts Storyteller Matt Scott and Datanauts Community Manager Elyssa Dole, to get Datanaut perspectives on...

CLICK TO WATCH a co nve r satio n with VICTORIA RUTLEDGE

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CLICK TO WATCH a co nve r satio n with

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NADIA CHILMONIK

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CLICK TO WATCH a conversation with NOEMI DERZSY AND

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BRUNO GONÇ ALVES

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a conversation with

DANIEL A VAZQUEZ

CURIO S

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CLICK TO WATCH a conversation with

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LESLIE BIRCH

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Continue to read stories on these topics from additional Datanauts.

DATANAUTS DISCOVERY

DATA AND COURAGE MAKING THE LEAP INTO UNCHARTED TERRITORY

STORY 1

REL AUNCHING MY CAREER

BY JULIE KNIGHT

I

was in the process of getting my doctorate in Preventive Medicine when I was told that perhaps I should consider if this was the right program for me. I was devastated. As I took time to reconsider my career goals, I remembered a COBOL class I had loved. I started taking computer science classes and found my dream career! I worked for 15 years as a software engineer, amazed that they paid me to do something that I naturally loved. Then our son was born, and, believing that his early years were foundational to the rest of his life, I took a career break to be at home with him.

Now that he is more independent I have been looking to relaunch my career.

Transitioning back from stay-at-home parent to software engineer has been a challenging journey that I am still on. I have learned how truly important it is to have a strong network of support -- both professionally and personally. An important part of transitioning for me was being accepted into the NASA Datanauts program. I feel blessed to be surrounded with like-minded women who inspire and encourage me. I have also joined iRelaunch, which is for those who have taken career breaks and want to rejoin the workforce. I have support from people who are traveling the same road as me. I’ve also learned that to relaunch a software career requires a lot of study, for challenging technical tests that are part of any interview!

And finally, having the support of friends who believe in me and keep me going is the most important part in any transition. ★

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We want to engage people that are not traditionally served and make them feel confident that, ‘Okay, I know what these words mean, I can go into this arena, I can give it a try and it’s something I can learn.’”

MICHELLE EASTER, NASA JET PROPULSION L ABOR ATORY AND MIND MAKERS

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DATANAUTS DISCOVERY

STORY 2

A BEGINNER’S MINDSE T

BY KERRY BENJAMIN

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’ve been interested in science and technology since I was a kid. I knew that this was the field in which I wanted to base my career. I dabbled in learning multiple areas of tech but after much research and meeting a practicing one, I decided that I wanted to become a data scientist. The field is so broad and so impactful that I would be able to help so many people at once. I couldn’t ask for more.

The work that NASA does on Earth and in space is fascinating to me -- especially the areas related to humanity adapting to new environments. I believe that space science can also be applied to life here on Earth right now. I think understanding that can inspire people to think of ways to benefit those who are marginalized like myself. I would love to implement the things I am learning in these fields to truly help NASA Datanauts as I continue to work toward my data science goals. ★

P I C T U R E D : Kerry

STORIES

FOR MORE ON THIS T OPIC RE AD KERRY’S M E D I U M P O S T: “ Getting Started in Data Science: A Beginner’s Perspective”

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DATANAUT

ND COUR A A AG E

Benjamin sits alongside fellow Datanaut Cindy Chin and her daughter at the 2016 Class kickoff event.

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I find it challenging to see beyond what I do in my own little world—I am absorbed and obsessed with removing the last veneer of technology that comes between a user and our digital world. I want to use conductive ink to empower beautiful everyday objects as portals to our digital environment… so the exciting technology is conductive ink, and the specific challenge is to create immersive, intuitive and emotional connections between people, and between things and people.”

DR . K ATE S TONE , NA SA DATANAUT AND FOUNDER OF NOVALIA

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DATANAUTS DISCOVERY

DATA AND CREATIVITY MAPPING , VISUALIZ ATION AND ONTOLOG IE S

STORY 1

GIVING THE WORLD ORDER THROUGH SELF-ORGANIZING MAPS

BY NADIA CHILMONIK

A

self-organizing map (SOM) is a type of machine learning algorithm, more popularly known as artificial intelligence, neural network. SOMs are trained using unsupervised learning. It is useful for reducing a high-dimensional space to twodimensional or low-dimensional representation. Essentially you can take many objects with many traits with non-discrete or discrete values and watch as they organize themselves according to those traits.

As an example, let’s imagine the traits of planets. Planets have qualities including size, size of atmosphere, distance from the sun, amount of water, and primary color. So if we used the planets in a self-organizing map, they would rearrange in order to be closest to the other planets whose traits they have in common. This is an iterative process, so the map might start with Mars and Earth classified far apart in the two-dimensional space, because Mars may seem most similar to Jupiter on a first pass, being a primarily orange/red tone. But over iterations, they may reorganize to align based on other similarities, for instance similarities in size to Earth or distance to the Sun. As a result, Mars would end up somewhere in between. That component is dictated by the competitive learning that SOMs use instead of the typical error-correcting or backpropagation. ★

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DATA AND CRE ATIVIT Y

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STORY 2

STORY 3

THE POWER OF TEX T MINING

O N T O L O G I E S : C R E AT I N G HUMAN-CENTERED TA XO N O M I E S T O A N N O TAT E D ATA

BY JULIA SILGE

ext mining is increasingly important in many fields, from health care to finance to tech. Even at NASA, text mining and modeling are important, as unstructured metadata can be analyzed to understand how datasets are related to each other. The toolset of text mining is powerful and flexible, and can be applied to diverse kinds of texts, from the novels of Jane Austen (my personal favorites!) to technical metadata to social media text. We learn different things in these distinct contexts, such as how Jane Austen handles gender or how topics grow in popularity on social media. Careful application of text mining principles allows analysts to gain insights needed for understanding and decision-making. ★

BY ROBERT ROVETTO

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f data science is about analyzing, interpreting, and managing data, in part to solve problems, then ontologies can serve as one tool toward specific aspects of this. Ontology offers one means to develop structured, human- and machinereadable terminologies and taxonomies that can annotate data. This enables reasoning tools to make inferences over data. It also allows the meaning of data to be clearly expressed. The capability to communicate a greater degree of semantics is one feature that sets ontologies apart from other semantic web technologies. Using their formalized set of terms or concepts, computational ontologies can stimulate data sharing and integration between disparate databases of a similar subject matter, such as astronautics or astronomy. They allow us to precisely define terms; represent the content of a given topic of interest (or domain); and present a knowledge model. In this way, ontologies facilitate what is called ‘semantic interoperability’ between information systems.

The Space Situational Awareness (SSA) Ontology (SSAO) (name subject to change), part of the broader Orbital Space Ontology Project, seeks to provide a common terminology for SSA-related fields. It aims at presenting a scientifically accurate ontological model of the space domain. In this project, we can learn some general concepts of ontology, basic functions of ontology editor applications, and how JSON-LD and spreadsheet data can be used with ontologies. ★

P I C T U R E D : Julia Silge holds up her

book on text mining with R, co-authored

by David Robinson.

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DATANAUTS DISCOVERY

NASA’s Datanaut initiative is a year-round experiment to encourage citizens to practice data science skills, with an intentional focus on inspiring women and girls to enter coding and computing fields.

Each class of 50 explores topics, tools, and techniques introduced

by NASA, outside experts, and fellow class members. Our hope is to create a vibrant ecosystem of enthusiastic NASA data geeks, who challenge each other (and NASA) to try out new concepts. Thank you Datanauts for giving so generously of your time and talents. Through you, we see the data universe with new eyes.�

BETH BECK, PHD, NASA

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DATA AND CRE ATIVIT Y

LEFT

Datanaut Karen Lopez presents on data relationships and graph databases.

LEFT

NASA’s Gale Allen presents on her role within NASA. BELOW

NASA’s Dan O’Neil presents on producing data files in JSON-LD.

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DATANAUTS DISCOVERY

DATA AND CARVING PATHWAYS HELPING CITIZENS NAVIG ATE NA SA DATA

STORY 1

EASING THE JOURNE Y FOR F U T U R E D ATA N A U T S

BY WIEBKE HURRELMANN

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hen I started out on my journey as a Datanaut, I eagerly completed the “Intro to coding” track and dove head-first into the amazing number of data sources available on data.nasa.gov. I did some website scraping on

Voyager data and found a great page on experiments that have been performed on the International Space Station. I started wondering how all of this connects.

The question emerged: How can we provide some kind of visualization and toolbox for Datanauts to quickly find a collection of interesting data around a certain topic that they can play with? How can a data source be discovered in just a few clicks?

I created a network visualization using Python (can be found on the Datanaut Github) and Javascript that shows connections between topics, using their respective tags and also a very low level schematic of how the data could be structured for discovery.

Since then, we have formed a team of like-minded Datanauts around the NASA data universe and are exploring different areas, looking at how to enrich the tags of existing data sources, incorporate new ones, and find out what could be useful views. We are in the process of discovering new ways to go about this and are

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looking forward to ideas and expertise from new Datanauts. ★

D CARVIN

WEIBKE HURRELMANN

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G uest at NASA Datanauts community event, Lisbon, Portugal, 2016

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INTERVIEW WITH

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DATA AND C ARVING PATHWAYS

STORY 2

MAPPING THE NASA D ATAV E R S E

BY L AU R A A N N E E DWA RDS

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atanauts, along with the team at NASA, are collaborating to provide a series of visualizations for their open data treasures and some prototypes to streamline the data publishing process. We call this “mapping the NASA dataverse”! Phase One is converting the data portal into visuals. Phase Two is activating the global Datanauts community.

With one of the world’s most recognizable and soughtafter treasure troves of open data, NASA has made a major investment in creating a user-friendly, comprehensive data portal. Having an at-a-glance cue in terms of the discipline -- relative size of the datasets or discipline within the data portal (example: rocket propulsion versus earth science), age or team who generated particular data -- will help researchers and citizen scientists alike.

Building a set of tools that can help NASA share more precious data more quickly helps the whole world. ★

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DATANAUTS DISCOVERY

DATA AND CURIOSITY UNCOVERING NOVEL SOLUTIONS TO TODAY ’ S PROBLEMS

STORY 1

D R O N E S A N D U S I N G D ATA FOR SOCIE T Y’S SAFE T Y

BY W E N DY E DWA R D S

C

ybersecurity involves a lot of data, and there are a number of ways that data science can help security professionals find important information. The NASA Datanauts initiative provides valuable water cooler chats on topics like programming, ontologies, and machine learning that have direct applications to security domains. For example, machine learning could help detect abnormal activity by analyzing network or log data.

This year, I’ve participated in both the NASA Datanauts initiative and the SANS Women’s Immersion Academy for cybersecurity training.

The International Consortium of Minority Cybersecurity Professionals sponsored a scholarship contest this summer for the Black Hat security conference. Participants were required to submit a short white paper on a topic related to cybersecurity. I chose to write about securing drones, and learned about some interesting research from NASA Ames.

Drones, also known as unmanned aerial vehicles (UAEs), are becoming more widely used. There are currently applications in shipping, law enforcement, farming, and photography. As such, they’ve become targets of increasingly sophisticated attacks. At Black Hat Asia 2016, a researcher demonstrated how a professional police drone could be hijacked. Autonomous drones that don’t use remote control can also be vulnerable to attacks because of their reliance on sensors, particularly GPS, for navigation.

NASA developed Realizable Responsive Unobtrusive Unit (R2U2), a framework for monitoring security properties and detecting threats in drones. It uses formal logic to reason about inputs from a drone’s sensors and can help detect GPS tampering or deviations from flight plans. It did well when tested with simulated attacks.

In June, my paper was announced as one of the contest winners, so I was given the opportunity to travel to Black Hat. I am very grateful for this and the many other opportunities that I’ve had this year.★

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DATA AND CURIOSIT Y

STORY 2

O N T O L O G Y- O R I E N T E D O R R E R Y A N D D ATA S C I E N C E

BY DANIEL O’NEIL ( M E N T O R , N A S A D ATA N A U T S )

S

ince the 4th Earl of Orrery, Charles Boyle, received a mechanical model of the solar system in 1704, such models have been referred to as orreries. A computational ontology defines the terminology and taxonomies of things and relationships among those things. A web-based orrery can present an interactive model of part of a solar system and display data from an ontology generated file. Data science activities can collect and organize data, which can be imported into an ontology editor and exported as a structured data file and presented within a web-based orrery.

A digital globe, such as NASA’s Web World Wind, could present Earth science data, or display orbiting satellites and debris. Another NASA product, the General Mission Analysis Tool, enables mission planning and exporting data for trajectory visualization. An orrery can present mission trajectories for space exploration missions, data about planets and asteroids, and information about space probes. Tutorials and demonstrations developed for the Datanauts can serve as a starting point for the development of orreries and associated reusable code libraries that can enable citizen scientists to create their own web-based space mission visualizations. Educators could use the orreries to teach about the solar system. Web site developers could use an orrery as a virtual reality user interface for navigating to different data sets. Entrepreneurs could build upon the orreries to develop games or to demonstrate concepts for future space industries.

An ontology oriented orrery project can integrate the semantic web and physical based simulation through 3D computer graphics and data visualization; a variety of skills are needed for this type of project. ★

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DATANAUTS DISCOVERY

I started working as a community organizer, where I not only got to hear and tell people’s stories, but I used data to bring people together.

On political campaigns, I used voter data to learn what citizens wanted out of their elected officials and used community mapping tools to target specific populations. Today, I get to teach youth how to create technology that solves community problems and this involves using data everyday whether it’s to collect data about user pain points or to find market trends by analyzing research and datasets.

J E R E LY N R O D R I G U E Z , N A S A D ATA N A U T A N D COFOUNDER OF THE KNOWLEDGE HOUSE

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DATANAUTS DISCOVERY

DATA AND COMMUNITY ENGAGEMENT BRING ING CITIZENS TO G E THER FOR DEEP DATA DIVE S

STORY 1

FROM THE US TO GHANA , HOW DATANAUT S CONNEC TIONS ARE EMPOWERING GIRL S B Y L O R E T TA C H E E K S

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he NASA Datanauts cohort is a bridge to great relationships, rich datasets and resources, and exposure to amazing usages of NASA data. The program carefully considers the diversity in disciplines and interests of the group when introducing data-centric topics. As an ice-breaker and welcome to the NASA Datanauts program, the 2016 cohorts (i.e., my cohort) worked on an e-textile hands-on project that involved the integration of digital circuits with textiles using Blink Blink kits. This project was just what was needed to make the program that I co-founded in March 2017 -- the STEAM & Global Citizenship Exchange Program.

In July, with the help of NASA Datanauts’ generous gift of Blink Blink kits, 13 girls from the US and over 45 Ghanaian girls worked side by side to learn about energy and the foundations of digital circuits, using the same hands-on project the 2016 cohort experienced. Their teamwork led to the build-out of a mobile phone charger that could be integrated inside a purse -- an excellent example of the collaborative outcome that one is afforded as a NASA Datanaut. Demystifying and unpacking STEM is a goal that we were able to meet in Ghana, West Africa, thanks to a collective of generous individuals from across the globe who made it possible. ★

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ABOVE LEFT

Girls working with the Blink Blink kits.

ABOVE RIGHT

Loretta and girls making mobile phone chargers.

DATANAUTS DISCOVERY

STORY 2

B R I N G I N G D ATA S C I E N C E T O L I F E W I T H S TA R R Y N I G H T

BY C I N DY C H I N

A

s part of the NASA Datanauts initiative to engage community outsiders to explore, play, and create with NASA’s over 32,000 open datasets, Dr. Kate Stone’s Starry Night serves as a starting point where Datanauts can collaborate, impart new skills, and share their love for data science, technology, and space exploration with communities of diverse makeup across all ages, backgrounds, and interests.

personal stories about our interest and love for all things space and NASA. Some attendees’ presentations were technical in nature, explaining stepby-step in their social media posts how to assemble Starry Night. Some were enthusiastic makers, former attendees at hackathons, or engineering students at university eager to roll up their sleeves and put together the projects -- Jordan Lui, for example, who fired off question after question.

In November 2016, I took the project to Lisbon, Portugal, and hosted a community event during the Web Summit with business leaders from 10 countries and countless industries. Two of the attendees, Wiebke Hurrelmann (Germany) and Maria Shamota (Ukraine), are now part of the 2017 NASA Datanauts class. In March 2017, I brought the Starry Night project to the European Space Agency’s Sentinel 2B satellite launch in Darmstadt, Germany.

Twenty space enthusiasts and attendees of the #Sentinel2Go launch event were there #StarryNightESA. People came from more than a dozen countries -- Belgium, Canada, Colombia, Cyprus, France, Germany, Greece, Italy, Lithuania, Morocco, Portugal, the United Kingdom, and Venezuela.

By the end of the evening people had put together the Starry Night storyboards successfully or they had found mentors and partners to help them with the assembly.

Regardless of where we come from, we are all interconnected and these bonds of interest will lead to future gatherings and a shared sense of adventure. Not to mention the capacity to work in collaborative environments towards a goal or mission for human space flight and problem solving!

What’s next after Starry Night? I will be reunited with NASA’s Chief Knowledge Architect and avid NASA Datanauts supporter David Meza on board a Lufthansa flight to Frankfurt, Germany, to talk about space and commercial aviation on our way to the dmexco Conference in Cologne, to be reunited with ESA astronaut Thomas Reiter. I will remember to bring a Starry Night board for Thomas and share that with him. Vehicle assembly already completed of course! ★

Every time a Starry Night community event was planned, people expressed their excitement, right from the ramp-up phase.

It was a chance for people to convene.

Some knew each other from before but many were first-timers and eager to meet new people. The community events were opportunities to bond and share our

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DATA AND COMMUNIT Y ENG AG EMENT

P I C T U R E D M A I N : Dr. Kate Stone

gives a talk on printed electronics in the “Jump In!” ball pit in London.

THREE SMALLER PICTURES:

Participants at a Hack Tampa event experience Starry Night, as

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captured by Datanaut Tracey Birch.

MMUNITY

CINDY CHIN NASA Datanaut and

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organizer of the Starry Night community in Lisbon, 2016.

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STORIES

INTERVIEW WITH

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DATANAUT

CLICK TO WATCH AN

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DATANAUTS DISCOVERY

MEET

THE DATANAUTS FOUNDING CLASS

2015

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

AARON

ALEXIS

AMANDA

ANALISA

HURST

K A M H O LT Z

CHAN

CASARI

BALARES

THE

2016 CLASS

26

THE DATANAUTS

ANNETTE

BRIANA

CAITLIN

CHENEY

CHEYENNE

CHINASA

PONNOCK

VECCHIONE

GALLAGHER

LY FO R D

GAIMA

OKOLO

CHRISTINE

CINDY

CLAIRE

CRYSTAL

DANIELLE

DR. JULIA

PHU

CHIN

KELLING

FRANKLIN

GERVALIS

PAP

DR. JULIA

DR.

DR. NOEMI

E M I LY

GREGORY

JEFF

SILGE

NANNETTE

DERZSY

BARRY

SKLAR

KEETON

NAPIER

JULIA

JULIE

KAIRA

KAREN

KAROLINA

K ATIE

KARKOWSKA

KNIGHT

VILLANUEVA

LOPEZ

KUMIEGA

ERICKSON

KERRY

LEXI

LISA

LORET TA

MAHAM

MARIAM

BENJAMIN

BASANTIS

BALLARD

CHEEKS

AF TAB

SERAG

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DATANAUTS DISCOVERY

MEAGAN

MEGHA

NADIA

OLIVIA

RALITSA

RUBY

COONEY

PUNJANI

CHILMONIK

ROSS

VELIKOVA

CHILDS

RUTU MULKAR-

SIMON

SIOBAHN

TINA

TING

TRACEY

MEHTA

BERMAN

DAY

LAI

LI

BIRCH

SPRING

2017 CLASS

TUNISIA

VICTORIA

ZARA

ALEISHA

ALEXANDRE

MITCHELL

RUTLEDGE

LEVENTHAL

JETHWA

A LV E S

ALICE

AMANDA

AMELIA

AMY

ANGIE

AURIEL

LAI

GOONETILLEKE

MCNAMARA

XIAO

JONES

FOURNIER

BRANNON

BRIT TANY

BROOKE

BRUNO

CAMILLE

CHRISTINE

VEAL

WALKER

FITZGERALD

G O N Ç A LV E S

RAMSEUR

QUINTANA

CORAL

DANIELA

ELAINE

ELISE

ERIN

EVA SZ ADECZK Y-

SHELDON-HESS

VAZQUEZ

ZHANG

DANG

GRAND

KARDOSS

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THE DATANAUTS

EVANGELINE

HAMZE

IMANO

JASMINE

JAY

JEAN

GARREAU

DOKOOHAKI

WILLIAMS

DUMAS

MAHABAL

NJOROGE

JHUN RHENZ

JOSHUA

KAELEN

LAURA ANNE

LAURA

LAUREN

MARTINEZ

BUTNER

MEDEIROS

EDWARDS

DECICCO

OLDJA

LOGAN

LUCY

MADO

MALINA

MARIA

MELISSA

GALL AWAY

MCGOWAN

KELLE YAN

KEUTEL

MENICOU

FABROS

MICHELLE

NIKI

NUJCHAREE

RENEE

ROBERT

SARA

CASSEL

ATHANA SIADOU

HASWELL

GENNARELLI

ROVETTO

GEE

SIAN

TA SHAY

THOMAS

WENDY

WIEBKE

МАРИЯ

PROCTOR

GREEN

LAROCK

EDWARDS

HURRELMANN

ШАМОТА

FALL

2017 CLASS

ALICE

ALLAN

ANITA

AYBUKE

BE ATRIZ

PEVYHOUSE

ANZAGIRA

KIRKOVSKA

TURKER

HERNÁNDEZ

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DATANAUTS DISCOVERY

BLAIR

BRETT

BRIDGET

BROOKE

CAITLIN

CARLEY

PALMER

JOHNSON

CARBERRY

WATSON

HUDON

JACOBSON

CAROLINA

CHING

ERIKA

GAYATHRI

GÃœNPERI

HAZEL

HADAD

CHANG

BAKSE

SWAMINATHAN

SISMAN

K AVILI

HE ATHER

HEIDI

ICHSAN

INES

IRENE

JENNIFER

ALES

TEBBE

HARIADI

HUERTA S

CHEN

THOMPSON

JESSE

JORDAN

JORDI

KELSEY

LAURA

LIDIA CONTRERAS

PONNOCK

LUI

FRANK

HUTCHISON

DOYLE

OCHANDO

LILIAN

LISA

MARIA

MARK

MARTHA

MARYAM

HUANG

WINTER

FILIPPELLI

WOODLAND

ROTTER

JAHANSHAHI

MAT T

NADEW

NORMA

OC TAVIO

OLINA

OLIVIA

BREALEY

KIBRET

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Learn more about the newest Datanauts class here: Meet the Datanauts Fall 2017 class.

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