Julie webinarpage (#244)

* update webinars page

* formatting

* alternate wording webinar page

Author: juliebates

webinar-series.html

@@ -91,27 +91,26 @@ <h3><strong>Upcoming Webinars</strong></h3>
 
 
 
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-					<li><strong>Friday, May 6, 2022 at 2pm EDT</strong>
-						<ul>
-							<li>We welcome guest speaker <a href="https://scholar.harvard.edu/iglesias"><strong>Eugenio Iglesias</strong></a> from MGH, for a presentation on <em>Synth*: Domain Randomization for out-of-the-box Brain Analysis with Enhanced Reproducibility.</em>
-						</ul>
 
 					<li><strong>Friday, June 3, 2022 at 2pm EDT</strong>
 						<ul>
-							<li>Special guest speaker <a href="https://www.pennlinc.io/"><strong>Ted Satterthwaite</strong></a> joins us from UPenn
+							<li>Special guest speaker <a href="https://www.pennlinc.io//team/Ted-Satterthwaite"><strong>Ted Satterthwaite</strong></a> joins us from UPenn's <a href="https://www.pennlinc.io/research">Lifespan Informatics and Neuroimaging Center</a>, with a presentation on <em>Reproducible Image Curation and Processing for Large-scale Studies of Brain Development</em>
+						</ul>
+					<li><strong>Summer Hiatus, Friday July 3 - Friday September2 ~ </strong> <em>ReproNim Webinars will resume on October 7, 2022</em>
 
-						</ul>			
 			</p>
 
                     <h3><strong>Webinar Presentations to Date</strong></h3>
 <p>
    <ul>
+	   <li><strong>Friday, May 6, 2022 at 2pm EDT</strong>
+		   <ul>
+			  <li>We welcome guest speaker <a href="https://scholar.harvard.edu/iglesias"><strong>Eugenio Iglesias</strong></a> from MGH, for a presentation on <em>Synth*: Domain Randomization for out-of-the-box Brain Analysis with Enhanced Reproducibility.</em> 
+	   		  <li>Video Presentation and Slides will be made available as soon as possible.
+		   </ul>
+		   
 	   <li><strong>Friday, April 1, 2022 at 2pm EDT</strong>
 		   <ul>
 			   <li><a href="https://metascience2021.org/speakers/errington/"><strong>Tim Errington</strong></a> joins us from the <a href="https://www.cos.io/about/mission">Center for Open Science</a>, with a presentation on <em>Reproducibility in Preclinical Cancer Research - Lessons from the Reproducibility Project: Cancer Biology</em>. This project underscores valuable insights and perspective on reproducibility that translate widely across scientific disciplines.