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  <NewsItem contentIssues="true" id="142207" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/142207">
  <Title>Sahara Ali PhD Dissertation Defense</Title>
  <Tagline>Thursdasy, June 6, 2024 at 2p [virtual]</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><div>We are excited to share that Sahara Ali will be defending her PhD 
    Dissertation on Thursday, June 6 at 2p (est). <strong><br></strong></div><div><strong><br></strong></div><div><strong>PhD Candidate: </strong>Sahara Ali<br><strong>Dissertation Title: </strong>Spatiotemporal Forecasting and Causality Methods for the Arctic Amplification<br><br><strong>Committee:</strong></div><div>- Dr Jianwu Wang (Committee Chair, UMBC)</div><div>- Dr Vandana Janeja (UMBC)</div><div>- Dr Sanjay Purushotham (UMBC)</div><div>- Dr Md. Osman Gani (UMBC)</div><div>- Dr Aneesh Subramanian (UC Boulder)</div><div>- Dr Yiyi Huang (UMBC / Bloomberg)<br><br><strong>Date and Time: </strong>June 6th, 2024, 2-4pm EST</div><div><br></div><div><strong>Meeting Information:</strong></div><div>Meeting link:<br><a href="https://umbc.webex.com/umbc/j.php?MTID=me7c6a976cb64159dd2cf7944e72a250a" rel="nofollow external" class="bo">https://umbc.webex.com/umbc/j.php?MTID=me7c6a976cb64159dd2cf7944e72a250a</a><br><br>Meeting number:<br>2632 192 0478<br>Meeting password:<br>gxF8cQCRT77<br><br>Join by phone<br>+1-202-860-2110 United States Toll (Washington D.C.)<br>Access code: 26321920478<br><br>Global call-in numbers<br><a href="https://umbc.webex.com/umbc/globalcallin.php?MTID=m922682770606a3cedacc1779cee0a25f" rel="nofollow external" class="bo">https://umbc.webex.com/umbc/globalcallin.php?MTID=m922682770606a3cedacc1779cee0a25f</a><br><br></div><div><strong>Abstract:</strong></div><div>The
     Arctic is a region with unique climate features where warming has been 
    almost twice as fast as the rest of the world. The warming of the 
    Arctic, also known as Arctic amplification, is led by several 
    atmospheric and oceanic drivers. The essential part of Arctic 
    amplification is the unprecedented sea ice loss as demonstrated by 
    satellite observations. However, understanding the causes of sea-ice 
    variations and its feedback on the atmospheric processes is a complex 
    task. Therefore, accurately forecasting Arctic sea ice from sub-seasonal
     to seasonal scales has been a major scientific challenge and has gained
     interest of Data Scientists to develop novel statistical and machine 
    learning approaches for this task. This brings us to three key research 
    areas studied in this dissertation: (i) accurate forecasting of climate 
    data in the Arctic on sub-seasonal to seasonal scales, (ii) estimating 
    the influence of atmospheric processes and their time-varying effects on
     the sea-ice and ice-sheet variations. (iii) estimating the spatial 
    interference of atmospheric processes and their time-varying effects on 
    the sub-regional sea-ice variations.</div><div>For the first topic, this 
    research explores the potential of data-driven approaches to study sea 
    ice variations by proposing custom deep learning modeling techniques to 
    learn spatiotemporal variations in the sea ice. By combining the spatial
     skills of convolutional neural networks (CNNs), predictive power of 
    recurrent neural networks (RNNs) and other hybrid modeling techniques 
    (ConvLSTM), the proposed models reduce the prediction error by 60% as 
    compared to the state-of-the-art approaches. The work further 
    contributes to accurate long-term forecasting beyond the seasonal 
    barrier.</div><div><br></div><div>For the second topic, the research utilizes potential 
    outcome framework to infer causation in climate data on daily and 
    monthly temporal scales using custom deep learning based forecasting 
    models. In comparison with related work, the framework proposes a deep 
    learning based causal inference model to infer causation under 
    continuous treatment using recurrent neural networks, and a novel 
    probabilistic balancing technique to reduce the confounding bias.<br>For
     the third topic, this work formalizes the concept of spatial 
    interference in case of time-varying treatment assignments by extending 
    the potential outcome framework under the assumption of no unmeasured 
    confounding. The extended framework utilizes latent factor modeling to 
    reduce the bias due to time-varying confounding while leveraging the 
    power of U-Net architecture to capture global and local spatial 
    interference in data over time. The proposed causal estimators are an 
    extension of average treatment effect (ATE) for estimating direct (DATE)
     and indirect effects (IATE) of spatial interference on treated and 
    untreated data. Being the first of its kind deep learning based 
    spatiotemporal causal inference technique, the proposed approach shows 
    advantages over several baseline methods based on the experiment results
     on synthetic datasets, with and without spatial interference. The 
    empirical results on the Arctic dataset not only align with domain 
    knowledge, but also pave paths in quantifying the impact of causal 
    drivers of climate change in the Arctic. <br></div><div><br></div><div>Overall, these 
    predictive and inferential models have the potential to generalize for 
    multiple downstream tasks and can be extended to other domains beyond 
    Earth Science.</div><div><br><br></div></div>
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  <Summary>We are excited to share that Sahara Ali will be defending her PhD  Dissertation on Thursday, June 6 at 2p (est).       PhD Candidate: Sahara Ali Dissertation Title: Spatiotemporal Forecasting and...</Summary>
  <Website>http://iharp.umbc.edu</Website>
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  <PostedAt>Tue, 28 May 2024 09:56:30 -0400</PostedAt>
  <EditAt>Tue, 25 Jun 2024 10:04:17 -0400</EditAt>
</NewsItem>
  <NewsItem contentIssues="true" id="142182" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/142182">
  <Title>Tolulope Ale successfully defends his PhD Proposal</Title>
  <Tagline>Congratulations Tolulope!</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content">Tolulope Ale, iHARP Research Assistant, successfully defended his PhD Proposal on Thursday, May 23, 2024. Join iHARP in congratulating Tolulope on his
     successful PhD proposal defense. <div><br></div><div><span><strong>Title:</strong> </span>A Framework for Multivariate Explainable Anomaly Detection with Uncertainty Estimation  for Time Series Data.</div><div><br></div><div>Committee:</div><div>Dr. Vandana Janaja - Advisor and Committee Chair (UMBC)</div><div>Dr. Nicole-Jeanne Schlegel - Committee Member (NOAA)</div><div>Dr. Jianwu Wang - Committee Member (UMBC)</div><div>Dr. Patti Ordóñez - Committee Member (UMBC)</div><div>Dr. Sudip Chakraborty - Committee Member (UMBC)</div><div><span><br></span></div><div><span><strong>Abstract:</strong> </span><br></div><div>The
     multivariate time series analysis within climate data represents a 
    crucial yet less explored field. This is particularly relevant when 
    examining extreme climate events, such as snow melting in polar regions,
     which necessitate the consideration of multiple variables to capture 
    fluctuations accurately. Anomalies in climate data often result from the
     interplay of several variables, meaning that what appears anomalous 
    under univariate analysis may, in fact, align with expected patterns 
    once contextualized within a multivariate framework. This approach more 
    accurately reflects the interconnected nature of real-world phenomena, 
    where events seldom occur in isolation. The primary challenge in anomaly
     detection algorithms for multivariate climate time series lies in 
    effectively harnessing the intricate relationships among the 
    multivariate data. Despite the advancements in deep learning for anomaly
     detection, very few efforts have been directed toward climate data; 
    this could be due to the lack of labeled data and the complexity of 
    climate variables. Additionally, a significant limitation of existing 
    anomaly detection algorithms is their lack of explainability, especially
     in climate data, where it is crucial to pinpoint which variable most 
    significantly influences an anomaly score. Beyond merely identifying 
    anomalies, it is vital to ascertain the primary variable contributing to
     the anomaly, facilitating targeted strategies for mitigating such 
    occurrences in climate datasets.</div><br>In response, we propose a 
    novel framework incorporated with feature attribution for detecting 
    anomalies within multivariate time series data and then analyzing 
    climate change trends in polar regions. Our methodology employs a 
    Variational Autoencoder (VAE) framework, chosen for its stochastic 
    nature, which we enhanced by incorporating correlation-based feature 
    clustering and dynamic thresholding. These enhancements allow the VAE to
     focus on localized representations, thereby enriching the latent 
    representation quality and the accuracy of detected anomalies. Given the
     complex interdependencies among variables and over time within 
    multivariate climate data, we introduce the concepts of temporal overlap
     and proximity. These concepts allow us to identify how an anomaly in a 
    variable relates to an anomaly in other variables<span>.</span> Through
     extensive experimentation on three distinct datasets, our research 
    substantiates the efficacy of the proposed framework, marking a 
    significant advancement in anomaly detection within climate data 
    analysis<p><em>Image
     Note: In the left panel, Naomi Tack is defending her dissertation. In 
    the right panel, Naomi stands with her iHARP mentors, (left to right: 
    Dr. Becca Williams, Naomi Tack, and Dr. Don Engel).</em></p><p><em><br></em></p><p><em>Photo to the left: Pictured is Tolulope Ale defending his proposal. <br>Photo to the right: Pictured is Tolulope Ale standing with his committee. In the photo: Left of screen Left to Right: Dr. Vandana Janeja, Tolulope Ale <br>On Screen Top Right: Dr. Jianwu Wang, Bottom Left: Dr. Sudip Chakraborty, Bottom Right: Dr. Nicole-Jeanne Schegel <br>Right of Screen: Dr. Patti Ordóñez<br></em></p></div>
]]>
  </Body>
  <Summary>Tolulope Ale, iHARP Research Assistant, successfully defended his PhD Proposal on Thursday, May 23, 2024. Join iHARP in congratulating Tolulope on his  successful PhD proposal defense.     Title:...</Summary>
  <Website>https://iharp.umbc.edu/</Website>
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  <PostedAt>Fri, 24 May 2024 15:15:45 -0400</PostedAt>
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  <NewsItem contentIssues="true" id="142157" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/142157">
  <Title>iHARP&#8217;s Tolulope Helps Plan UMBC&#8217;s Earth Day Symposium</Title>
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    <![CDATA[
    <div class="html-content"><p>Tolulope Ale, an iHARP Research Assistant, was a planning committee member for the 8th Annual Earth Day Symposium and UMBC's first-ever Earth Month. UMBC collaborated with the Environmental Protection Agency (EPA) to organize 18 events throughout April.</p><p>The Earth Month activities concluded with the 8th Annual Earth Day Symposium on April 29th. The symposium covered various topics, including measuring the Earth system, theoretical studies, model forecasts and predictions, educational outreach, and community engagement. It featured presentations from esteemed speakers and included a poster session where graduate and undergraduate students shared their environmental research. </p><p><br>iHARP congratulates and thanks Tolulope for contributing to UMBC's Earth Day Symposium and Earth Month celebrations!</p><p><br>To learn more about UMBC Earth Day and Earth Month please visit: <br><a href="https://sustainability.umbc.edu/home/earth-month/" rel="nofollow external" class="bo">https://sustainability.umbc.edu/home/earth-month/</a></p><p><br>To read the UMBC article featuring UMBC Earth Month please visit:<br><a href="https://umbc.edu/stories/8th-annual-earth-day-symposium/" rel="nofollow external" class="bo">https://umbc.edu/stories/8th-annual-earth-day-symposium/</a></p><p><br>To learn more about the research being conducted at iHARP research center, or if you are interested in Polar and Data research, please visit: <br><a href="https://iharp.umbc.edu/" rel="nofollow external" class="bo">https://iharp.umbc.edu/</a></p><p><br></p><p><br></p><p><strong>Photo Credit: </strong>Planning committee members for the Earth Day Symposium and other Earth Day events with President Valerie Sheares Ashby. Left to right: Sharad Pandey, Adeleke Segun Ademakinwa, Kamal Aryal, Tony La Luna, Roshan Mishra, Rhonda Plofkin, Valerie Sheares Ashby, Tolulope Ale, Erin Hammer, and Maurice Roots. (Image by Zhibo Zhang)</p></div>
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  <Summary>Tolulope Ale, an iHARP Research Assistant, was a planning committee member for the 8th Annual Earth Day Symposium and UMBC's first-ever Earth Month. UMBC collaborated with the Environmental...</Summary>
  <Website>http://iharp.umbc.edu</Website>
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  <PostedAt>Thu, 23 May 2024 10:57:42 -0400</PostedAt>
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  <NewsItem contentIssues="true" id="141852" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/141852">
  <Title>Dr.Vandana Janeja,iHARP Director, Receives Prestigious Award</Title>
  <Tagline>Join Us to Congratulate Dr. Janeja for her work and success</Tagline>
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    <![CDATA[
    <div class="html-content"><span><p><span>iHARP would like to congratulate Dr. Vandana Janeja on receiving the 2024 USM Board of Regents Faculty Award for Excellence in Scholarship or Research. These awards represent the highest honor bestowed on faculty by the University System of Maryland Board of Regents and recognize excellence in teaching; research, scholarship, creative activity; public service; mentoring; and innovation.</span></p></span><p><span><br></span></p><span><p><span>The award recognizes the hard work of Dr. Janeja's many students and collaborators, who helped make her research what it is today. </span></p><p><span><br></span></p></span><span><p><span>Please join us in congratulating Dr. Vandana Janeja!</span></p><div><span><br></span></div></span></div>
]]>
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  <Summary>iHARP would like to congratulate Dr. Vandana Janeja on receiving the 2024 USM Board of Regents Faculty Award for Excellence in Scholarship or Research. These awards represent the highest honor...</Summary>
  <Website>http://iharp.umbc.edu</Website>
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  <NewsItem contentIssues="true" id="141536" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/141536">
  <Title>iHARP Research Assistants present at COEIT Research Day</Title>
  <Tagline>April 19, 2024</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><span><span><span>UMBC <a href="https://www.linkedin.com/company/iharp/" rel="nofollow external" class="bo">iHARP</a>
     Research Assistants recently presented their work at UMBC College of 
    Engineering and Information Technology (COEIT) 2024 Research Day on 
    April 19, 2024.<br><br>Presenters include <a href="https://www.linkedin.com/in/ACoAABk5pekBnq_ohdgjCNAZ-hCvI5upbX87LHM" rel="nofollow external" class="bo">Tolulope Ale</a>, <a href="https://www.linkedin.com/in/ACoAAA_tdXwBVh3yZSndo9kL4gXFxB6iOx_UP4Q" rel="nofollow external" class="bo">Sahara Ali</a>, <a href="https://www.linkedin.com/in/ACoAAC97m_oBPdJe4XnRU5g0LQPOuco6c6Hfrrs" rel="nofollow external" class="bo">Atefeh Jebeli</a>, <a href="https://www.linkedin.com/in/ACoAACgz9LkBU6Ro2oJPd1OycONWZ2B7TME7HYM" rel="nofollow external" class="bo">Maloy Kumar Devnath</a>, <a href="https://www.linkedin.com/in/ACoAAB7H78ABswMHnARICyIKQ4JwwIaidVp0U-A" rel="nofollow external" class="bo">Emam Hossain</a>, <a href="https://www.linkedin.com/in/ACoAABCxlWkBOKR5apIzqIAg4Hsocy5RUn9-oQM" rel="nofollow external" class="bo">Chhaya Kulkarni</a>, <a href="https://www.linkedin.com/in/ACoAAEnN5m8B7Ek6BdxsA0TZrl9unf3D_VTlC6Y" rel="nofollow external" class="bo">Francis Ndikum Nji</a>, <a href="https://www.linkedin.com/in/ACoAADrDsfoBFDy_9zF0j_Wv_BnxToKyMbnEDRU" rel="nofollow external" class="bo">Akila Sampath</a>, <a href="https://www.linkedin.com/in/ACoAADuvEQEBffEvH3y83m7EsiNfHooOfHF6Erk" rel="nofollow external" class="bo">Naomi Tack</a>, and iHARP Postdoctoral Research Assistant Dr. <a href="https://www.linkedin.com/in/ACoAAAYG1zEBWu_zzUZ6kpg4mVvNjF5tivmmy3c" rel="nofollow external" class="bo">Bayu Adhi Tama</a>. .<br><br>To read poster abstracts, please visit: <a href="https://lnkd.in/e5waQsj3" rel="nofollow external" class="bo">https://lnkd.in/e5waQsj3</a>. <br><br>To learn more about iHARP and research being conducted, please visit: <a href="http://iharp.umbc.edu" rel="nofollow external" class="bo">iharp.umbc.edu</a><br><br>iHARP mentors involved in supporting research efforts include (but not limited to):<br><a href="https://www.linkedin.com/in/ACoAAA34MBkBmkHwZZ2R-u7iHz4MbqGrkypuxzA" rel="nofollow external" class="bo">Vandana P. Janeja</a> <a href="https://www.linkedin.com/in/ACoAAAAvJ-4B2AdyZbbKsEv8NgT8_zCFiPnOcyA" rel="nofollow external" class="bo">Aneesh Subramanian</a> <a href="https://www.linkedin.com/in/ACoAAAWKB8IBZqDpQ2sft0C2tsmCOkHGTA7cBVU" rel="nofollow external" class="bo">Nicole-Jeanne Schlegel</a><a href="https://www.linkedin.com/in/ACoAAAjHADwBWGnB842yXT6xPPEncNrL0-wo9Oo" rel="nofollow external" class="bo">Md Osman Gani</a> <a href="https://www.linkedin.com/in/ACoAAAMpbQMBCTl5v8RzXXzch-rOXIQcy9PIRjE" rel="nofollow external" class="bo">SUDIP CHAKRABORTY</a> <a href="https://www.linkedin.com/in/ACoAAAD2N_ABdSesaWWfXN2HeBArZozeUjN_zqU" rel="nofollow external" class="bo">Jianwu Wang</a> <a href="https://www.linkedin.com/in/ACoAABqbfIYBHer5mUD74Lozo6kU4pY459pUtGI" rel="nofollow external" class="bo">Devon Dunmire</a> <a href="https://www.linkedin.com/in/ACoAADSmINgBUsa3c0-W0Vd1swJHzbs7Nh3TvZA" rel="nofollow external" class="bo">Alison Banwell, Ph.D.</a> <a href="https://www.linkedin.com/in/ACoAAAYG1zEBWu_zzUZ6kpg4mVvNjF5tivmmy3c" rel="nofollow external" class="bo">Bayu Adhi Tama</a> <a href="https://www.linkedin.com/in/ACoAAAAAqegB2lMpPnuE-E7ISbv6APv_kOCxfaA" rel="nofollow external" class="bo">Don Engel</a> <a href="https://www.linkedin.com/in/ACoAAAn1-18BoGLomw1A2kJQbqZAea3PSUF5k4I" rel="nofollow external" class="bo">Rebecca Williams</a> <a href="https://www.linkedin.com/in/ACoAAA1RY9oB22MMvIUtTYFBYbySQIc9V0GB8S0" rel="nofollow external" class="bo">Nick Holschuh</a> <a href="https://www.linkedin.com/in/ACoAAAEt-5YB6WWtKbfIwSHVWdfEOt8lX-GhzZM" rel="nofollow external" class="bo">Sanjay Purushotham</a></span></span></span></div>
]]>
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  <Summary>UMBC iHARP  Research Assistants recently presented their work at UMBC College of  Engineering and Information Technology (COEIT) 2024 Research Day on  April 19, 2024.  Presenters include Tolulope...</Summary>
  <Website>http://iharp.umbc.edu</Website>
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  <PostedAt>Tue, 30 Apr 2024 14:11:12 -0400</PostedAt>
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  <NewsItem contentIssues="true" id="141465" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/141465">
  <Title>Naomi Tack successfully defends her Masters Thesis</Title>
  <Tagline>Congratulations Naomi!</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content">Naomi Tack, iHARP Research Assistant, successfully defended her Master's Thesis on Thursday, April 25. Join iHARP in congratulating Naomi on her successful defense. <div><br></div><div><h6>Research Title</h6><p><span>Immersive Visualizations and Quality Metrics for Polar Science</span></p></div><div><br></div><h6>Abstract</h6><p>Polar science studies many aspects of the north and south poles, and glaciers. In order to better understand the internal structure of ice sheets and how they are impacted by climate change, ice penetrating radar is used. This radar captures the layers inside the ice sheet which can then be used to understand layer behavior and flow inside the glacier. Layers can be picked out of these radargrams and then visualized to give an indication of the internal topology. We explore two areas in which these radargrams are used, namely analysis of machine-picked layers and immersive visualization of these layers. Analysis of machine picked layers is achieved through the development of quality metrics which are independent of number of layers. We present these metrics and analysis of their utility. Immersion is accomplished through WebXR, inspired by recent research in both polar science and other scientific fields. We present the system, its controls and limitations, and evaluations to be performed on this system. </p><h6>Committee Members</h6><p><span>Professor Don Engel (Co-chair), Professor Rebecca Williams (Co-chair), Professor Tejas Gokhale</span></p><p><br></p><p><em>Image Note: In the left panel, Naomi Tack is defending her dissertation. In the right panel, Naomi stands with her iHARP mentors, (left to right: Dr. Becca Williams, Naomi Tack, and Dr. Don Engel).</em></p></div>
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  <Summary>Naomi Tack, iHARP Research Assistant, successfully defended her Master's Thesis on Thursday, April 25. Join iHARP in congratulating Naomi on her successful defense.      Research Title  Immersive...</Summary>
  <Website>http://iharp.umbc.edu</Website>
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  <PostedAt>Mon, 29 Apr 2024 13:40:12 -0400</PostedAt>
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  <NewsItem contentIssues="true" id="141258" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/141258">
  <Title>iHARP Students Represent iHARP on Community Day!</Title>
  <Tagline>iHARP for UMBC's Earth Month 2024</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><span><p><span>In celebration of Earth Day 2024, UMBC is holding their first ever month-long, student-led, campus-wide event celebrating our home of planet Earth! </span></p><p><span><br></span></p><p><span><span>Chhaya and Emam represented iHARP at UMBC's Community Day! </span></span><span>iHARP students shared their research and data on climate change in the polar regions and how it affects our Earth and the Baltimore community. </span></p><p><span><br></span></p><p><span>We congratulate and thank Chhaya and Emam on representing iHARP and participating in UMBC’s Earth Month 2024! </span></p><div><span><br></span></div></span></div>
]]>
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  <Summary>In celebration of Earth Day 2024, UMBC is holding their first ever month-long, student-led, campus-wide event celebrating our home of planet Earth!      Chhaya and Emam represented iHARP at UMBC's...</Summary>
  <Website>http://iharp.umbc.edu</Website>
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  <NewsItem contentIssues="true" id="140074" important="true" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/140074">
    <Title>iHARP Fellowship Opportunites</Title>
    <Tagline>Now Open and Accepting Applications</Tagline>
    <Body>
      <![CDATA[
          <div class="html-content"><span><span><span>iHARP announces its first Call for 
          Fellowship(s), welcoming applications for Polar Informatics Graduate 
          Fellows and Visiting Research Fellows.<br><br>iHARP welcomes 
          applications from Graduate Students and Visiting Research Fellows across
           related disciplines in Data Science and Polar Science, who will study 
          aspects of climate change by deeply integrating Data Science and Polar 
          Science to spur physics-informed, data-driven discoveries. The 
          fellowship program aims to increase engagement with external researchers
           and to promote cross-disciplinary research between Data science and 
          Polar science researchers beyond iHARP.<br><br></span></span></span><div><span><span><span>Please <a href="https://iharp.umbc.edu/op/fellowships/" rel="nofollow external" class="bo">click here, https://iharp.umbc.edu/op/fellowships/</a>, to navigate to full call for fellowship details. <br></span></span></span></div><div><span><span><span><br></span></span></span></div><div><span><span><span>Applications are due by April 30, 2024</span></span></span></div></div>
      ]]>
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    <Summary>iHARP announces its first Call for  Fellowship(s), welcoming applications for Polar Informatics Graduate  Fellows and Visiting Research Fellows.  iHARP welcomes  applications from Graduate...</Summary>
    <Website>https://iharp.umbc.edu/op/fellowships/</Website>
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  <NewsItem contentIssues="true" id="140073" important="true" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/140073">
    <Title>iHARP Call for Synergy Incentives Program Proposals</Title>
    <Tagline>Now Open and Accepting Applications</Tagline>
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          <div class="html-content"><span><span><span>iHARP is excited to announce its first Call for Synergy Incentives Program (SIP) Proposals! <br><br>iHARP-SIP
           is designed to bring interdisciplinary teams working together to 
          strengthen links to HDR ecosystem towards identifying collaboration 
          opportunities and leveraging distinct strengths via cross-institute 
          coordination, communication, and new research seeding.<br><br></span></span></span><div><span><span><span>iHARP 
          welcomes proposals from researchers who will lead SIP to foster 
          collaboration of iHARP researchers, fellows, and scholars, deepening 
          common research directions.</span></span></span></div><div><span><span><span><br></span></span></span></div><div><span><span><span>Please navigate to <a href="https://iharp.umbc.edu/op/sipapp/" rel="nofollow external" class="bo">https://iharp.umbc.edu/op/sipapp/ </a>to read the full Call for Synergy Incentives Program (SIP) Proposals! <br><br>Proposals are due by April 30, 2024</span></span></span></div><div><span><span><span><br></span></span></span></div><div><span><span><span><br></span></span></span></div></div>
      ]]>
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    <Summary>iHARP is excited to announce its first Call for Synergy Incentives Program (SIP) Proposals!   iHARP-SIP  is designed to bring interdisciplinary teams working together to  strengthen links to HDR...</Summary>
    <Website>https://iharp.umbc.edu/op/sipapp/</Website>
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  <NewsItem contentIssues="true" id="139674" important="false" status="posted" url="https://dev.my.umbc.edu/groups/iharp/posts/139674">
  <Title>iHARP Researchers and Students Research Papers Published</Title>
  <Tagline>iHARP Funded Research</Tagline>
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    <div class="html-content"><span><p><span>iHARP’s Subhankar Ghosh, University of Minnesota PhD student along with iHARP senior researchers Drs. Shekhar and Subramanian, and et al recently had their research papers presented at I-GUIDE’s 2023 Conference and the </span><span>12th International Conference on Geographic Information Science in 2023</span><span>! Their works address the problem of identifying statistically significant regional colocation patterns in a given study area based on a set of spatial feature types, their instances, and a neighbor relationship. They also address the challenge of accurately and reliably predicting future sea-level rise using multi-model ensemble climate projections. </span></p><br><p><span>The paper Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach</span><span>is publicly available as of October 19, 2023.</span></p><br><p><span>The paper Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results will not be publicly available until July 9, 2024.</span></p><br><p><span><strong>Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach.</strong></span></p><p><span><strong>Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results.</strong></span></p><br><p><span><strong>Authored by:</strong></span></p><p><span>Subhankar Ghosh, Shaui An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian </span></p><br><p><span>A sneak preview of the paper can be found by following these links:</span></p><p><a href="https://drive.google.com/file/d/1K2K6pZM0FN-zGmHUnuW5h3voX8MXmsQw/view?usp=sharing" rel="nofollow external" class="bo"><span>https://drive.google.com/file/d/1K2K6pZM0FN-zGmHUnuW5h3voX8MXmsQw/view?usp=sharing</span></a></p><p><span><a href="https://drive.google.com/file/d/1CQPzHCQfEbl2meHkXXbdqVZPe-qK_p9U/view?usp=sharing">https://drive.google.com/file/d/1CQPzHCQfEbl2meHkXXbdqVZPe-qK_p9U/view?usp=sharing</a></span></p><div><span><br></span></div></span></div>
]]>
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  <Summary>iHARP’s Subhankar Ghosh, University of Minnesota PhD student along with iHARP senior researchers Drs. Shekhar and Subramanian, and et al recently had their research papers presented at I-GUIDE’s...</Summary>
  <Website>http://iharp.umbc.edu</Website>
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