-
Notifications
You must be signed in to change notification settings - Fork 9
/
index.html
executable file
·641 lines (622 loc) · 42.8 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
<!DOCTYPE html>
<!--
* A Design by GraphBerry
* Author: GraphBerry
* Author URL: http://graphberry.com
* License: http://graphberry.com/pages/license
* Modified: Kim Ngo
-->
<html lang="en">
<meta http-equiv="expires" content="0">
<head>
<meta charset=utf-8>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>DARPA - Operation XDATA</title>
<!-- Load Roboto font -->
<link href='http://fonts.googleapis.com/css?family=Roboto:400,300,700&subset=latin,latin-ext' rel='stylesheet' type='text/css'>
<!-- Load css styles -->
<link rel="stylesheet" type="text/css" href="css/bootstrap.css" />
<link rel="stylesheet" type="text/css" href="css/bootstrap-responsive.css" />
<link rel="stylesheet" type="text/css" href="css/style.css" />
<link rel="stylesheet" type="text/css" href="css/pluton.css" />
<!--[if IE 7]>
<link rel="stylesheet" type="text/css" href="css/pluton-ie7.css" />
<![endif]-->
<link rel="stylesheet" type="text/css" href="css/jquery.cslider.css" />
<link rel="stylesheet" type="text/css" href="css/jquery.bxslider.css" />
<link rel="stylesheet" type="text/css" href="css/animate.css" />
<!-- Fav and touch icons -->
<link rel="apple-touch-icon" sizes="57x57" href="images/ico/apple-icon-57x57.png">
<link rel="apple-touch-icon" sizes="60x60" href="images/ico/apple-icon-60x60.png">
<link rel="apple-touch-icon" sizes="72x72" href="images/ico/apple-icon-72x72.png">
<link rel="apple-touch-icon" sizes="76x76" href="images/ico/apple-icon-76x76.png">
<link rel="apple-touch-icon" sizes="114x114" href="images/ico/apple-icon-114x114.png">
<link rel="apple-touch-icon" sizes="120x120" href="images/ico/apple-icon-120x120.png">
<link rel="apple-touch-icon" sizes="144x144" href="images/ico/apple-icon-144x144.png">
<link rel="apple-touch-icon" sizes="152x152" href="images/ico/apple-icon-152x152.png">
<link rel="apple-touch-icon" sizes="180x180" href="images/ico/apple-icon-180x180.png">
<link rel="icon" type="image/png" sizes="192x192" href="images/ico/android-icon-192x192.png">
<link rel="icon" type="image/png" sizes="32x32" href="images/ico/favicon-32x32.png">
<link rel="icon" type="image/png" sizes="96x96" href="images/ico/favicon-96x96.png">
<link rel="icon" type="image/png" sizes="16x16" href="images/ico/favicon-16x16.png">
<link rel="manifest" href="/manifest.json">
<meta name="msapplication-TileColor" content="#ffffff">
<meta name="msapplication-TileImage" content="/ms-icon-144x144.png">
<meta name="theme-color" content="#ffffff">
<link rel="shortcut icon" href="images/ico/favicon.ico?v=2"/>
<!-- Redirects to mobile web version -->
<script type="text/javascript">
var isMobile = function() {
//console.log("Navigator: " + navigator.userAgent);
return /(iphone|ipod|ipad|android|blackberry|windows ce|palm|symbian)/i.test(navigator.userAgent);
};
if(isMobile()) {
document.location = "mobile.html";
}
</script>
<!-- Google Analytics Code -->
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-70247058-1', 'auto');
ga('send', 'pageview');
</script>
<!-- End Google Analytics Code -->
</head>
<body>
<div class="navbar">
<div class="navbar-inner">
<div class="container">
<a href="#" class="brand">
<img src="images/darpa_logo.png" alt="Logo" />
<!-- This is website logo -->
</a>
<!-- Navigation button, visible on small resolution -->
<button type="button" class="btn btn-navbar" data-toggle="collapse" data-target=".nav-collapse">
<i class="icon-menu"></i>
</button>
<button type="button" class="btn btn-navbar" style="background-color:#FECE1A;"><a href="https://stout.dsra.io" onMouseOver="this.style.color='#181A1C'" onMouseOut="this.style.color='#181A1C'">Register</a>
</button>
<!-- Main navigation -->
<div class="nav-collapse collapse pull-right">
<ul class="nav" id="top-navigation">
<li class="active"><a href="#home">Home</a></li>
<li><a href="#service">Services</a></li>
<li><a href="#portfolio">Portfolio</a></li>
<li><a href="#about">About</a></li>
<li><a href="#contact">Contact</a></li>
<li><a href="https://stout.dsra.io" style="color: #FECE1A;" target="_blank">Register</a></li>
</ul>
</div>
<!-- End main navigation -->
</div>
</div>
</div>
<!-- Start home section -->
<div id="home">
<!-- Start cSlider -->
<div id="da-slider" class="da-slider">
<div class="triangle"></div>
<!-- mask elemet use for masking background image -->
<div class="mask"></div>
<!-- All slides centred in container element -->
<div class="container">
<!-- Start first slide -->
<div class="da-slide">
<h2 class="fittext2">Operation XDATA: A Public Event</h2>
<h4>Mission</h4>
<p>You and thousands of other exceptional minds will embark on a mission of analytic tasks with a strict time limit. You'll be provided with top-notch tools and tons of data, including social media, transportation, and financial data. You can perform these tasks on any desktop or laptop computer (but not on mobile devices), in any location that is most convenient for you.</p>
<p2>Use the tools and data provided | Find the solution fast | Beat your friends and BRAG!
</p2>
<a href="https://stout.dsra.io" class="da-link button">Register</a>
</div>
<!-- End first slide -->
<!-- Start second slide -->
<div class="da-slide">
<h2 class="fittext2">Operation XDATA: A Public Event</h2>
<h4>Purpose</h4>
<p>The purpose of this mission is to complete a big data analytic research study using open source analytic tools. Through your work, you will be helping improve big data analytic applications that everyone can use. You will also be participating in critical research for how to best pair users with the right tools to complete their own analytic missions.
</p>
<a href="https://stout.dsra.io" class="da-link button">Register</a>
</div>
<!-- End second slide -->
<!-- Start third slide -->
<div class="da-slide">
<h2 class="fittext2">Operation XDATA: A Public Event</h2>
<h4>Participate</h4>
<p>If you are interested in learning more, please click "Register." Your participation is strictly voluntary and confidential; before submitting any personal or contact information, you will be given more information to inform your decision to participate. This is a research activity that is funded by <a href="http://opencatalog.darpa.mil/XDATA.html" target="_blank">DARPA</a> and being carried out by <a href="http://www.draper.com/" target="_blank">Draper</a>.
</p>
<a href="https://stout.dsra.io" class="da-link button">Register</a>
</div>
<!-- End third slide -->
<!-- Start cSlide navigation arrows -->
<div class="da-arrows">
<span class="da-arrows-prev"></span>
<span class="da-arrows-next"></span>
</div>
<!-- End cSlide navigation arrows -->
</div>
</div>
</div>
<!-- End home section -->
<!-- Service section start -->
<div class="section primary-section" id="service">
<div class="container">
<!-- Start title section -->
<div class="title">
<!-- Section's title goes here -->
<h1>XDATA</h1>
<!--Simple description for section goes here. -->
<p>An open source software library for big data to help overcome the challenges of effectively scaling to modern data volume and characteristics.</p>
</div>
<div class="row-fluid">
<div class="span4">
<div class="centered service">
<div class="circle-border zoom-in">
<img class="img-circle" src="images/Service4.png" alt="service 1">
</div>
<h3>Open Source Software</h3>
<p>Process and analyze both semi-structured and unstructured data</p>
</div>
</div>
<div class="span4">
<div class="centered service">
<div class="circle-border zoom-in">
<img class="img-circle" src="images/Service3.png" alt="service 2" />
</div>
<h3>Publications</h3>
<p>Peer-reviewed articles describing the researching and findings</p>
</div>
</div>
<div class="span4">
<div class="centered service">
<div class="circle-border zoom-in">
<img class="img-circle" src="images/Service2.png" alt="service 3">
</div>
<h3>Data</h3>
<p>Open and sharable big data sets</p>
</div>
</div>
</div>
</div>
</div>
<!-- Service section end -->
<!-- Portfolio section start -->
<div class="section secondary-section " id="portfolio">
<div class="triangle"></div>
<div class="container">
<div class="title">
<h1>Have You Seen our Works?</h1>
<p>There are 3 challenge problems for the Summer Workshop, along with their subproblems:</p>
<ul class="list">
<li>
<b>Challenge 1:</b> Mapping, Predicting and Characterizing Population Movements
</li>
<ul class="sublist">
<li>
Subproblem A: Analyze and model intracity-region to intracity-region, city-to-city, or state-to-state population movement patterns, find anomalies
</li>
<li>
Subproblem B: Find, locate and label events and landmarks of interest
</li>
</ul>
<li>
<b>Challenge 2:</b> Cross-dataset Dealiasing
</li>
<li>
<b>Challenge 3:</b> Financial Event Detection
</li>
<ul class="sublist">
<li>
Subproblem A: Identify pump and dump schemes
</li>
<li>
Subproblem B: Identify instances of frontrunning or news leaks
</li>
<li>
Subproblem C: Identify instances of market manipulation
</li>
</ul>
</ul>
</div>
<ul class="nav nav-pills">
<li class="filter" data-filter="all">
<a href="#noAction">All</a>
</li>
<li class="filter" data-filter="challenge1">
<a href="#noAction">Challenge 1</a>
</li>
<li class="filter" data-filter="challenge2">
<a href="#noAction">Challenge 2</a>
</li>
<li class="filter" data-filter="challenge3">
<a href="#noAction">Challenge 3</a>
</li>
</ul>
<!-- Start details for portfolio project 1 -->
<div id="single-project">
<div id="slidingDiv" class="toggleDiv row-fluid single-project">
<div class="span6" style="display: inline-block; padding-right: 15px; padding-bottom; 15px;">
<img src="images/Portfolio01.png" alt="project 1" />
</div>
<div class="span6">
<div class="project-description">
<div class="project-title clearfix">
<h3>Aperture Tiles</h3>
<span class="show_hide close">
<i class="icon-cancel"></i>
</span>
</div>
<div class="project-info">
<div>
<span>Team</span>Uncharted</div>
<div>
<span>Problem</span>Challenge 1</div>
<div>
<span>Contact</span>Scott Langevin - [email protected]</div>
<div>
<span>Download</span><a target="_blank" href="http://aperturetiles.com">http://aperturetiles.com</a></div>
</div>
</div>
</div>
<p>Discovery of patterns and anomalies in space and time through map-style navigation of billions of data points in any modern web browser. Tile-Based Visual Analytics (TBVA) enables high-fidelity analysis of big data at massive scales, revealing phenomena that would otherwise be lost through sampling or coarse aggregation. Using techniques similar to online geographic map services, tailored analytic results are served at each zoom level. Unlike raster tile systems, TBVA enables interactive analysis by binning data rather than graphics.</p>
<p>Combining correlated social media, traffic and weather layers with computational analytics including Event Detection, Traffic Analysis, and Topic Analysis provides insight into population movement and activity on global to local scales. Cluster computing is used to produce the resulting tile-based visual analytics, which enable monitoring of trends over time and discovery of unusual geotemporal events.</p>
<h4>Event Detection - Stanford XGRAPHS</h4>
<p>Events of potential interest are discovered computationally using geotemporal anomaly detection and event modeling. By marking spikes and lulls in activity in space and time, analytic event detection complements visual methods by further enabling rapid discovery. Conversely, visualization complements analytic results by fully expressing anomalies in context. A luminance ordered color spectrum is used to maximize perception.</p>
<h4>Traffic Analysis - IBM Research</h4>
<p>Anomalies in regular day-to-day patterns of population movement are revealed by plotting the results of traffic modeling. Weather and social media layers can be superimposed on the same time scale to investigate possible correlations with events such as storms and street closures.</p>
<h4>Topic Analysis - Georgia Tech</h4>
<p>Tile-based topic modeling and summarization forms a view of the landscape of social media chatter at multiple levels of detail. Global and local trends point to unfolding events on the ground. When superimposed with movement trends topic analysis can reveal correlations between tweets and traffic, forming a more detailed portrait of local life.</p>
</div>
<!-- End details for portfolio project 1 -->
<!-- Start details for portfolio project 2 -->
<div id="slidingDiv1" class="toggleDiv row-fluid single-project">
<div class="span6" style="display: inline-block; padding-right: 15px; padding-bottom; 15px;">
<img src="images/Portfolio02.png" alt="project 2">
</div>
<div class="span6">
<div class="project-description">
<div class="project-title clearfix">
<h3>Minerva</h3>
<span class="show_hide close">
<i class="icon-cancel"></i>
</span>
</div>
<div class="project-info">
<div>
<span>Team</span>Kitware</div>
<div>
<span>Problem</span>Challenge 1</div>
<div>
<span>Contact</span>David Manthey - kitware.com</div>
<div>
<span>Download</span><a target="_blank" href="https://github.com/XDATA-Year-3/geoapp">https://github.com/XDATA-Year-3/geoapp</a></div>
</div>
</div>
</div>
<p>Geolocated big data holds promise for advancing city planning, commerce, and law enforcement. Many existing web mapping systems limit direct client interaction, instead relying on extensive preprocessing to present an aggregated view of large geolocated data. This impedes the interactive manipulation of individual data items and makes the handling of streaming data difficult.</p>
<p>Minerva Taxi is an open-source web application built for analysts, enabling the ability to rapidly query, filter, view, and analyze large quantities of data. The application uses GeoJS to scalably display millions of data points, while also incorporating multiple view layers, including binned heatmaps showing relative data concentration and deviation from expected statistics, and vector displays showing flow of data over time. When data sizes exceeds local limits, the application automatically begins to randomly sample the data presented. Since the large set of queried data is made available to the web client, interactive filtering, brushing, animation, and re-binning is possible, which would normally require serverside processing.</p>
</div>
<!-- End details for portfolio project 2 -->
<!-- Start details for portfolio project 3 -->
<div id="slidingDiv2" class="toggleDiv row-fluid single-project">
<div class="span6" style="display: inline-block; padding-right: 15px; padding-bottom; 15px;">
<img src="images/Portfolio03.png" alt="project 3">
</div>
<div class="span6">
<div class="project-description">
<div class="project-title clearfix">
<h3>Resonant Network Alignment</h3>
<span class="show_hide close">
<i class="icon-cancel"></i>
</span>
</div>
<div class="project-info">
<div>
<span>Team</span>Kitware</div>
<div>
<span>Problem</span>Challenge 2</div>
<div>
<span>Contact</span>Curtis Lisle - [email protected]</div>
<div>
<span>Download</span><a target="_blank" href="https://github.com/XDATA-Year-3/EntityAlignLarge">https://github.com/XDATA-Year-3/EntityAlignLarge</a></div>
</div>
</div>
</div>
<p>Resonant Network Alignment is an interactive application that focuses on discovering the identity of actors in very large social network graphs. The online presence of an actor through their posts, friends network, and user names, are reviewed using comparative metrics and a state-of-the-art interactive display. Designed to assist today’s analyst, Resonant Network Alignment presents an easy-to-learn interface that lets the analyst take control of the search for matching entities across multiple social networks.</p>
<p>Resonant Network Alignment implements a simple workflow, where analysts are able to explore subregions of separate social networks: simultaneously observing and exploring metrics over connected communities. Through its innovative, interactive web interface developed at Harvard’s Visual Computing Group and its social database management technology created by Kitware, Inc. and KnowledgeVis, LLC, Resonant Network Alignment can help social network students and analysts anywhere uncover communities and explore the actors embedded in these communities.</p>
</div>
<!-- End details for portfolio project 3 -->
<!-- Start details for portfolio project 4 -->
<div id="slidingDiv3" class="toggleDiv row-fluid single-project">
<div class="span6" style="display: inline-block; padding-right: 15px; padding-bottom; 15px;">
<img src="images/Portfolio04.png" alt="project 4">
</div>
<div class="span6">
<div class="project-description">
<div class="project-title clearfix">
<h3>Newman</h3>
<span class="show_hide close">
<i class="icon-cancel"></i>
</span>
</div>
<div class="project-info">
<div>
<span>Team</span>Sotera</div>
<div>
<span>Problem</span>Challenge 2</div>
<div>
<span>Contact</span>Kathleen Lossau - [email protected]</div>
<div>
<span>Download</span><a target="_blank" href="https://github.com/Sotera/newman">https://github.com/Sotera/newman</a></div>
</div>
</div>
</div>
<p>Newman is a web-based application tool that provides the ability to quickly analyze and explore email using advanced analytics and visualization techniques. These abilities are not possible with traditional email applications.</p>
<p>The visualizations help identify trends, patterns, and relationships between entities that may not otherwise be obvious. Visualizations include communication network graphs, email table, email viewer, rank, entity, and topics histograms.</p>
</div>
<!-- End details for portfolio project 4 -->
<!-- Start details for portfolio project 5 -->
<div id="slidingDiv4" class="toggleDiv row-fluid single-project">
<div class="span6" style="display: inline-block; padding-right: 15px; padding-bottom; 15px;">
<img src="images/Portfolio05.png" alt="project 5">
</div>
<div class="span6">
<div class="project-description">
<div class="project-title clearfix">
<h3>Neon</h3>
<span class="show_hide close">
<i class="icon-cancel"></i>
</span>
</div>
<div class="project-info">
<div>
<span>Team</span>Next Century</div>
<div>
<span>Problem</span>Challenge 1</div>
<div>
<span>Contact</span>Larry Mize ([email protected]) and Clark Dorman ([email protected])</div>
<div>
<span>Download</span><a target="_blank" href="http://neonframework.org/">http://neonframework.org/</a></div>
</div>
</div>
</div>
<p>The Neon Framework offers developers an easy-to-use environment to produce custom data analysis applications that integrate visualizations. The web-based tool allows aggregation of the visualization widgets in an environment that allows analysts to explore complex data sets.</p>
<p>Common interface activities include drag and drop, filtering, search, resizing, and point and click selection. Other options available include line charts, tag clouds, and data tables to further surface critical insights easily hidden by the vast sea of big data. By being able to move individual tool sets within the page, analysts can quickly juxtapose different aspects of the data set to provide immediate visual feedback on potential correlations. By developing with the end user—the analyst—in mind, coders produce tools that are welcomed in the field and quickly become the go-to solution to make sense of complex data sets.</p>
</div>
<!-- End details for portfolio project 5 -->
<!-- Start details for portfolio project 6 -->
<div id="slidingDiv5" class="toggleDiv row-fluid single-project">
<div class="span6" style="display: inline-block; padding-right: 15px; padding-bottom; 15px;">
<img src="images/Portfolio06.png" alt="project 6">
</div>
<div class="span6">
<div class="project-description">
<div class="project-title clearfix">
<h3>FEAT, Financial Event Analysis Tool</h3>
<span class="show_hide close">
<i class="icon-cancel"></i>
</span>
</div>
<div class="project-info">
<div>
<span>Team</span>Continuum Analytics</div>
<div>
<span>Problem</span>Challenge 3</div>
<div>
<span>Contact</span>Hunt Sparra</div>
<div>
<span>Download</span><a target="_blank" href="https://github.com/ContinuumIO/xdata-feat">https://github.com/ContinuumIO/xdata-feat</a></div>
</div>
</div>
</div>
<div class="clear"></div>
<p>The Financial Event Analysis Tool (FEAT) aids analysts in constructing timeline analyses of financial market events that have been correlated with external market-manipulating factors such as SPAM emails, social media discussions, and news releases using a familiar market activity and event dashboard. FEAT provides analyses across a wide variety of data time scales and across a range of external factors, allowing for example, an analyst to contextualize and aggregate individual quotes, transactions, and market-manipulating factors over timelines ranging from days to months. In addition, FEAT provides a testbed for financial anomaly detection algorithms and an integration platform for initiating and querying targeted crawls of external market factors. </p>
<h4>Stanford University</h4>
<p>Unsupervised annotation of temporal regions of financial activity correlated with pump-and-dump market manipulations.</p>
</div>
<!-- End details for portfolio project 6 -->
<!-- Start details for portfolio project 7 -->
<div id="slidingDiv6" class="toggleDiv row-fluid single-project">
<div class="span6" style="display: inline-block; padding-right: 15px; padding-bottom; 15px;">
<img src="images/Portfolio07.png" alt="project 7">
</div>
<div class="span6">
<div class="project-description">
<div class="project-title clearfix">
<h3>GEQE</h3>
<span class="show_hide close">
<i class="icon-cancel"></i>
</span>
</div>
<div class="project-info">
<div>
<span>Team</span>Sotera</div>
<div>
<span>Problem</span>Challenge 1</div>
<div>
<span>Contact</span>Joseph Gartner - [email protected]</div>
<div>
<span>Download</span><a target="_blank" href="https://github.com/Sotera/GEQE">https://github.com/Sotera/GEQE</a></div>
</div>
</div>
</div>
<p>Geo Query By Example is a tool aimed at finding desired places (e.g. hospitals, airports) and events (e.g. marathons, protests), by leveraging geo-tagged social media data. The tool features an easy to use web based front end, and leverages machine learning models to find locations and events of interest. Once areas have been identified, stored data from the place and time can be explored and searched, giving the user great forensic ability as well.</p>
</div>
<!-- End details for portfolio project 7 -->
<ul id="portfolio-grid" class="thumbnails row">
<li class="span4 mix challenge1">
<div class="thumbnail">
<img src="images/Portfolio01.png" alt="project 1">
<a href="#single-project" class="more show_hide" rel="#slidingDiv">
<i class="icon-plus"></i>
</a>
<h3>Aperture Tiles</h3>
<p>Uncharted</p>
<div class="mask"></div>
</div>
</li>
<li class="span4 mix challenge1">
<div class="thumbnail">
<img src="images/Portfolio02.png" alt="project 2">
<a href="#single-project" class="show_hide more" rel="#slidingDiv1">
<i class="icon-plus"></i>
</a>
<h3>Minerva</h3>
<p>Kitware</p>
<div class="mask"></div>
</div>
</li>
<li class="span4 mix challenge2">
<div class="thumbnail">
<img src="images/Portfolio03.png" alt="project 3">
<a href="#single-project" class="more show_hide" rel="#slidingDiv2">
<i class="icon-plus"></i>
</a>
<h3>Resonant Network Alignment</h3>
<p>Kitware</p>
<div class="mask"></div>
</div>
</li>
<li class="span4 mix challenge2">
<div class="thumbnail">
<img src="images/Portfolio04.png" alt="project 4">
<a href="#single-project" class="show_hide more" rel="#slidingDiv3">
<i class="icon-plus"></i>
</a>
<h3>Newman</h3>
<p>Sotera</p>
<div class="mask"></div>
</div>
</li>
<li class="span4 mix challenge1">
<div class="thumbnail">
<img src="images/Portfolio05.png" alt="project 5">
<a href="#single-project" class="show_hide more" rel="#slidingDiv4">
<i class="icon-plus"></i>
</a>
<h3>Neon</h3>
<p>Next Century</p>
<div class="mask"></div>
</div>
</li>
<li class="span4 mix challenge3">
<div class="thumbnail">
<img src="images/Portfolio06.png" alt="project 6">
<a href="#single-project" class="show_hide more" rel="#slidingDiv5">
<i class="icon-plus"></i>
</a>
<h3>FEAT</h3>
<p>Continuum Analytics</p>
<div class="mask"></div>
</div>
</li>
<li class="span4 mix challenge1">
<div class="thumbnail">
<img src="images/Portfolio07.png" alt="project 7" />
<a href="#single-project" class="show_hide more" rel="#slidingDiv6">
<i class="icon-plus"></i>
</a>
<h3>GEQE</h3>
<p>Sotera</p>
<div class="mask"></div>
</div>
</li>
</ul>
</div>
</div>
</div>
<!-- Portfolio section end -->
<!-- About us section start -->
<div class="section primary-section" id="about">
<div class="triangle"></div>
<div class="container">
<div class="title">
<h1>What is XDATA?</h1>
<p>XDATA is a DARPA program that is developing the tools and techniques to process and analyze large sets of imperfect, incomplete data. Its programs and publications focus on the areas of analytics, visualization, and infrastructure to efficiently fuse, analyze and disseminate these large volumes of data.</p>
</div>
<div class="about-text centered">
<h3>About XDATA</h3>
<p><p>Current defense systems for processing information struggle to effectively scale to the volume and characteristics of changing data environments and the range of applications for data analysis. Overcoming these challenges requires fundamentally new approaches to data science, including distributed computation and interactive visualization.</p>
<p>XDATA aims to meet these challenges by developing computational techniques and software tools for processing and analyzing large, imperfect and incomplete data. For scalable analytics, this approach includes researching distributed databases, statistical sampling methods and new algorithmic advances to lower the computational complexity of pattern matching. For information visualization, the approach includes developing human-computer interaction tools that are web-based, factor computation between client and server, and build from an open code base to enable rapid customization to different missions.</p>
<p>Warfighters’ missions now rely on a virtual net of sensors and communications systems for battlefield awareness more than at any time in history. At the same time, demands for timely and actionable information have spiked as warfighters at every level—whether at the planning table or on patrol—are called upon to make well-informed decisions. XDATA seeks to develop software to efficiently fuse, analyze and disseminate the massive volumes of data this network produces.</p>
<p>More information about XDATA’s open source software toolkits and peer-reviewed publications is available in the DARPA Open Catalog, located at
<i><a href="http://opencatalog.darpa.mil" target="_blank" style="color:#3D9AC9;" onMouseOver="this.style.color='#FECE1A'" onMouseOut="this.style.color='#3D9AC9'">http://opencatalog.darpa.mil/</a></i>.</p>
</div>
</div>
</div>
<!-- About us section end -->
<!-- Contact section start -->
<div id="contact" class="contact">
<div class="section secondary-section">
<div class="container">
<div class="title">
<h1>Contact</h1>
<p>Program Manager: Wade Shen</p>
<p>[email protected]</p>
</div>
</div>
<div class="container">
<div class="span9 center contact-info">
<p>675 North Randolph Street<br><br>
Arlington, VA 22203-2114</p>
<p class="info-mail">[email protected]</p>
<p>(703) 526-6630</p>
<div class="title">
<h3>More Information</h3>
<a target="_blank" onMouseOver="this.style.color='#FECE1A'" onMouseOut="this.style.color='#181A1C'" href="http://opencatalog.darpa.mil/XDATA.html" style="word-wrap: break-word;">http://opencatalog.darpa.mil/XDATA.html</a>
</div>
</div>
<div class="row-fluid centered">
<ul class="social">
<li>
<a target="_blank" href="https://www.facebook.com/DARPA">
<span class="icon-facebook-circled"></span>
</a>
</li>
<li>
<a target="_blank" href="https://twitter.com/darpa?lang=en">
<span class="icon-twitter-circled"></span>
</a>
</li>
<li>
<a target="_blank" href="https://www.linkedin.com/company/darpa">
<span class="icon-linkedin-circled"></span>
</a>
</li>
</ul>
</div>
</div>
</div>
</div>
<!-- Contact section edn -->
<!-- Footer section start -->
<div class="footer">
<p>Last updated: November 12, 2015</p>
</div>
<!-- Footer section end -->
<!-- ScrollUp button start -->
<div class="scrollup">
<a href="#">
<i class="icon-up-open"></i>
</a>
</div>
<!-- ScrollUp button end -->
<!-- Include javascript -->
<script src="js/jquery.js"></script>
<script type="text/javascript" src="js/jquery.mixitup.js"></script>
<script type="text/javascript" src="js/bootstrap.js"></script>
<script type="text/javascript" src="js/modernizr.custom.js"></script>
<script type="text/javascript" src="js/jquery.bxslider.js"></script>
<script type="text/javascript" src="js/jquery.cslider.js"></script>
<script type="text/javascript" src="js/jquery.placeholder.js"></script>
<script type="text/javascript" src="js/jquery.inview.js"></script>
<!-- css3-mediaqueries.js for IE8 or older -->
<!--[if lt IE 9]>
<script src="js/respond.min.js"></script>
<![endif]-->
<script type="text/javascript" src="js/app.js"></script>
</body>
</html>