ernie_homepage/backup_index.html at master · NETESOLUTIONS/ernie_homepage · GitHub

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
<!DOCTYPE html>
<html lang="en">
<head>
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>ERNIE Homepage</title>
    <link rel="stylesheet" type="text/css" href="main.css">
    <link href="https://fonts.googleapis.com/css?family=DM+Sans:400,500,700&display=swap" rel="stylesheet">
</head>
<body>
    <header>
        <a href="https://nete.com" class="nete-logo" aria-label="NETE Homepage">
            <img src="nete-logo-white.svg" alt="NETE homepage">labs
        </a>
        <h1 class="site-title">
            ERNIE
            <div class="sub-title">Enhanced Research Network<br>Informatics Environment</div>
        <h1>
    </header>
    <div class="callout">
        <a href="https://github.com/NETESOLUTIONS/ERNIE">
            <img src="github-white.svg" alt="View project on GitHub">View Project on GitHub
        </a>
    </div>

    <div class="content-wrapper">
        <div class="content">
            <aside>
                <div class="sidebar-box">
                    Our latest paper is now live:
                        <!-- <p class="sub-header"> -->
                            <!-- Our latest paper is now live on the <a href="https://www.mitpressjournals.org/doi/pdf/10.1162/qss_a_00007">Quantitative Science Studies web page</a>.
                            A <a href="https://arxiv.org/abs/1909.08738">preprint</a> is on ArXiv. -->
                        <!-- </p> -->
                </div>
                <a href="https://github.com/NETESOLUTIONS/ERNIE" class="sidebar-link">
                    <img src="noun_document.svg" alt="View project on GitHub">
                    <div class="sidebar-link-text">
                        Read the Paper
                        <div class="sub-title">at Quantitative Science Studies</div>
                    </div>
                </a>
                <a href="https://github.com/NETESOLUTIONS/ERNIE" class="sidebar-link">
                    <img src="noun_appendix.svg" alt="View project on GitHub">
                    <div class="sidebar-link-text">
                        Read the Preprint
                        <div class="sub-title">at ArXiv</div>
                    </div>
                </a>
                <div class="sidebar-links">
                    <a href="https://github.com/NETESOLUTIONS/ERNIE">
                        Example Link
                    </a>
                    <a href="https://github.com/NETESOLUTIONS/ERNIE">
                        Example Link 2
                    </a>
                    <a href="https://github.com/NETESOLUTIONS/ERNIE">
                        Example Link 3
                    </a>
                </div>
            </aside>
            <main>
                <!-- <img class="ernie-sketch" src="ERNIE.png"> -->

    <!-- <p class="sub-header">
    Our latest paper is now live on the <a href="https://www.mitpressjournals.org/doi/pdf/10.1162/qss_a_00007">Quantitative Science Studies web page</a>.
    A <a href="https://arxiv.org/abs/1909.08738">preprint</a> is on ArXiv.
    </p> -->

    <p>Research collaboration networks underlie scientific innovations that impact society and individual health. <a href="https://github.com/NETESOLUTIONS/ERNIE">ERNIE (Enhanced Research Network Informatics Environment)</a> is a data platform with workflows and models that enables the discovery and analysis of these networks. ERNIE originates from a thought experiment (Williams et al. Cell 163:21-23, 2015) that we subsequently built upon and has since grown into a knowledge resource for research assessment that (i) aggregates diverse data for discovery (ii) enables multidimensional measurements of research achievements. Structurally and conceptually, ERNIE embodies <a href="https://www.simonandschuster.com/books/Digital-Transformation/Thomas-M-Siebel/9781948122481">digital transformation</a> (as described by Siebel). We have chosen, however, to leave out the IoT component and defer introduction of AI techniques to a later stage in the project. ERNIE is designed and developed by  NETELabs, an experimental  research unit within <a href="https://www.nete.com">NET ESolutions Corporation (NETE)</a>, working on problems in digital technologies, research analytics, and business intel. ERNIE is funded in part as a Fast Track Small Business Innovative Research award with Federal funds from the National Institute on Drug Abuse, National Institutes of Health, US Department of Health and Human Services. Phase I was completed in Feb, 2018. Phase II commenced on Sept 30, 2018 and is focused on building a user community and 'productionizing' the platform.</p>

    <p>We recently formalized a partnering agreement with <a href="https://www.elsevier.com">Elsevier</a> and transitioned, in July 2019, from Web of Science to Scopus as ERNIE's bibliographic backbone. Similarly for patents, we use IPDD from <a href="https://www.lexisnexis.com/en-us/gateway.page">Lexis-Nexis</a> instead of the Derwent Patent Citation Index, which we previously used.</p>

    <p>Emphasis is placed on the use of Open Source technologies. Data in ERNIE are drawn in through custom ETL
    processes from both publicly available and commercial sources. Initial server infrastructure has been set up,
    core data have been scraped, leased, parsed, loaded, and partially curated and beta-user studies are under
    way. Both the infrastructure and data model are continuously upgraded as we add new data sources and prune
    out less useful ones.  In its first phase of development, ERNIE was
    <a href="https://doi.org/10.1101/371955">tested</a> in case studies spanning drug development, medical devices/diagnostics,
    behavioral interventions, and solutions for drug discovery. These case studies focused on substance abuse and  relied on our
    core workflow consisting of data mining, linking, and network analysis.</p>

    <p>The project philosophy is an amalgam of academic-style research and industry-style development by a multidisciplinary team
    embracing agile practices. Data Engineers, the frontline employees in our group, are typically just out of a Master's degree and
    are hired on one year contracts. They are expected to become productive within 60 days of joining the team, contribute substantially
    for the remaining 10 months, and eventually progress to an external position with substantially increased material benefits (below).
    Our Data Engineers have come to us from the University of Southern California, University of Virginia, University of
    Maryland, University of California Berkeley, Institut d'Étude Politiques de Paris (Sciences Po), University
    of Massachusetts Lowell, College of William and Mary, and Columbia University. The Data Engineers in our
    group are drawn from diverse educational backgrounds: systems engineering, mathematics, computer science,
    business analytics, industrial engineering, and philosophy. The two senior data architects who have
    contributed to this project over twenty years of industrial experience each in firms like IBM, OpenText, and
    Price Waterhouse Cooper and were trained at Peking University and Moscow State University respectively. The
    project leader has a background in biochemistry, immunology, peer review and program administration at The
    Ohio State University, Washington University School of Medicine, and NIH. Thus, diversity in training and
    life experience is a feature of this group and we believe that it plays a significant and positive role in
    the way we operate.</p>

    Members of the ERNIE team (present and past) are listed below along with others who contributed in various
    measures to development and implementation of the concept.

                <ul>
                    <li>Avon Davey (now at Glaxo Smith Kline)</li>
                    <li>Sitaram Devarakonda (NETE)</li>
                    <li>Samet Keserci (now at Amazon Research)</li>
                    <li>Dmitriy Korobskiy (NETE)</li>
                    <li>Shixin Jiang (now at Capital One)</li>
                    <li>Djamil Lakhdar-Hamina (NETE)</li>
                    <li>Siyu Liu (NETE)</li>
                    <li>Akshat Maltare (now at Vheda Inc)</li>
                    <li>Lingtian, Lindsay, Wan (now at Facebook)</li>
            <li>Japjeev Kohli (NETE) </li>
            <li>Michelle Ryan (NETE) </li>
                    <li>George Chacko (NETE)</li>
                </ul>

                We extend our footprint through collaborations with academia. Presently, active collaborations are with

                <ul>
                    <li>Jim Bradley, Coll. of William and Mary, VA</li>
                    <li>Alex Pico, Gladstone Institutes, San Francisco, CA</li>
                    <li>Tandy Warnow, Univ. of Illinois Urbana-Champaign, IL</li>
                </ul>

    <p> We gratefully acknowledge constructive critique and advice from the Program staff at NIDA. We thank Haley LaVoo for designing this web page.</p>


    <p>When, the ERNIE project was launched in Aug 2017, we wrote up an <a href="https://www.biorxiv.org/content/early/2018/07/19/371955">accompanying article</a>
    in 2018 that can be found on BioRxiv. The citation for the article is:
                </p>
                <div class="citation">
                    @article{keserci_ernie:_2018,<br>
                    title = {ERNIE}: {A} {Data} {Platform} for {Research} {Assessment},<br>
                    url = {https://www.biorxiv.org/content/early/2018/07/19/371955}, <br>
                    doi = {10.1101/371955},<br>
                    abstract = {},<br>
                    journal = {bioRxiv},<br>
                    author = {Keserci, Samet and Davey, Avon and Pico, Alexander R. and Korobskiy, Dmitriy <br>
                    and Chacko, George},<br>
                    year = {2018} <br>
                    }</div>
            </main>
        </div>
    </div>


    <!-- Global site tag (gtag.js) - Google Analytics -->
    <script async src="https://www.googletagmanager.com/gtag/js?id=UA-108396886-4"></script>
    <script>
        window.dataLayer = window.dataLayer || [];

        function gtag() {
            dataLayer.push(arguments);
        }
        gtag('js', new Date());

        gtag('config', 'UA-108396886-4');
    </script>

</body>

</html>