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                 <h3>News & Updates</h3>
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                 <blockquote class="news">
+                  <p><a class="button special date">Nov. 13,2019</a><br>Our newly funded DURIP equipment has arrived. Thanks to NIRX for the training! The new equipment includes three NIRX Sport 2 devices, three Tobii Pro Glasses, and a suite of fieldable wearable physiological sensors.</p>
                   <p><a class="button special date">Sept. 15,2019</a><br>We're excited to announce that we've received a new award from the National Science Foundation with Tom Williams (as PI) from the Colorado School of Mines called APERTURE: Augmented Reality and Physio-Enhanced Robotic Gesture.</p>
                   <p><a class="button special date">Sept. 01,2019</a><br>We're excited to announce that we've received a new award from the National Science Foundation with Sidney D'Mello (as PI) called: Modeling Brain and Behavior to Uncover the Eye-Brain-Mind Link during Complex Learning.</p>
-                  <p><a class="button special date">Mar. 27,2019</a><br>The <a target="_blank" href="https://www.defense.gov/Newsroom/Releases/Release/Article/1795118/dod-announces-fiscal-year-2019-research-equipment-awards/">DURIP awards</a> are out and we're getting some fabulous new sensor suites for Human-Machine Teaming Research! Stay tuned!</p>
                   <a class="button small">MORE</a>
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index.md

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-[Dr. Leanne Hirshfield](https://scholar.google.com/citations?user=5H_nV8cAAAAJ&hl=en) directs the System Human-Interaction with NIRS and EEG (SHINE) Lab at the University of Colorado Boulder's Institute of Cognitive Science. The SHINE Lab’s research is focused at the intersection of cognitive psychology and machine learning. We explore the use of non-invasive cognitive and physiological measurements to passively predict people’s social-cognitive-affective states in order to better understand, and ultimately improve, human performance and the design of intelligent systems. Hosted at the University of Colorado’s Center for Innovation and Creativity (CINC), the lab contains a myriad of non-invasive cognitive, physiological, and behavioral measurement devices. For cognitive state measurements, this includes a 52-channel functional near-infrared spectroscopy (fNIRS) device from Hitachi Medical (ETG 4000), an 8-channel ISS Oxyplex fNIRS device, a 4-channel PLUX wireless fNIRS device, and Advanced Brain Monitoring’s b-alert wireless EEG. The lab also contains physiological sensors for measuring electrodermal activity, respiration, and heart-rate variability, which are often used to complement the cognitive fNIRS/EEG data. 
+[Dr. Leanne Hirshfield](https://scholar.google.com/citations?user=5H_nV8cAAAAJ&hl=en) directs the System Human-Interaction with NIRS and EEG (SHINE) Lab at the University of Colorado Boulder's Institute of Cognitive Science. The SHINE Lab’s research is focused at the intersection of cognitive psychology and machine learning. The SHINE Lab’s research is focused at the intersection of cognitive psychology and machine learning. We explore the use of non-invasive cognitive and physiological measurements to passively predict people’s social-cognitive-affective states in order to better understand, and ultimately improve, human performance and the design of intelligent systems. Hosted at the University of Colorado’s Center for Innovation and Creativity (CINC), the lab contains over $900K of non-invasive cognitive, physiological, and behavioral measurement devices. For cognitive state measurements, this includes an extensive suite of DURIP (2019) funded equipment: including three NIRX Sport wireless fNIRS devices, three Tobii Pro 2 Glasses, and a suite of wearable physiological sensors (EDA, ECG, Respiration). Other equipment includes a 52-channel functional near-infrared spectroscopy (fNIRS) device from Hitachi Medical (ETG 4000), an 8-channel ISS Oxyplex fNIRS device, a 4-channel PLUX wireless fNIRS device, and Advanced Brain Monitoring’s b-alert wireless EEG. The lab also contains physiological sensors for measuring electrodermal activity, respiration, and heart-rate variability, which are often used to complement the cognitive fNIRS/EEG data. 
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