Add group member names in square brackets for redirecting purposes. (#63

)

* Add group member names in square bracketsfor redirecting purposes.

* Update more article names

* Fix REU students article

articles/ESA_internship_vicente/info.json

@@ -19,7 +19,7 @@
     "short_description": "Unleashing the Power of Data Science: Internship at the European Space Agency's Deepthought Initiative Explores Astrophysics Meta-Research.",
     "cover_image": "website_files/images/article_content/esa_internship.png",
     "content": {
-        "1_para": "The Deepthought Initiative (DTI) collaboration applies computational techniques and tools to analyze the vast literature in scientific research, with a specific focus on leveraging machine learning to understand astrophysics literature. Vicente Amado Olivo's research revolves around tracking astrophysics publications and identifying astronomers worldwide through publications on arXiv. Being part of a research group comprising astrophysicists, Vicente's work in computational meta-research ensures that the tools developed by DTI are directly applicable to the needs of astrophysicists. To further their research in astrophysics meta-research, Vicente is visiting ESAC, a world-leading space agency, in order to gain firsthand experience with their current research systems, understand their future needs, actively participate in a proposal cycle, and collaborate with the librarians at ESA."
+        "1_para": "The Deepthought Initiative (DTI) collaboration applies computational techniques and tools to analyze the vast literature in scientific research, with a specific focus on leveraging machine learning to understand astrophysics literature. [vicente_amado] 's research revolves around tracking astrophysics publications and identifying astronomers worldwide through publications on arXiv. Being part of a research group comprising astrophysicists, Vicente's work in computational meta-research ensures that the tools developed by DTI are directly applicable to the needs of astrophysicists. To further their research in astrophysics meta-research, Vicente is visiting ESAC, a world-leading space agency, in order to gain firsthand experience with their current research systems, understand their future needs, actively participate in a proposal cycle, and collaborate with the librarians at ESA."
     },
     "people_involved_ids": [
         "vicente_amado",

articles/ICSSI_poster_vicente/info.json

@@ -16,7 +16,7 @@
     "short_description": "Who's Behind the Paper? Machine learning enables the disambiguation of author identities in expanding research fields.",
     "cover_image": "website_files/images/article_content/icssi_poster.jpeg",
     "content": {
-        "1_para": "Our graduate student Vicente Amado Olivo attended the 3rd International Conference on the Science of Science and Innovation (ICSSI) on July 1 - 3, at the National Academy of Sciences in Washington, DC. This interdisciplinary conference brought together leading experts in the field of science of science and innovation, providing a multi-channel platform to bring together both producers (scientists from industry and academia) and consumers (policymakers, publishers, funders, administrators, etc.) of the field. Vicente presented his work in identifying unique researchers from the literature utilizing machine learning to solve the author ambiguity challenge."
+        "1_para": "Our graduate student [vicente_amado] attended the 3rd International Conference on the Science of Science and Innovation (ICSSI) on July 1 - 3, at the National Academy of Sciences in Washington, DC. This interdisciplinary conference brought together leading experts in the field of science of science and innovation, providing a multi-channel platform to bring together both producers (scientists from industry and academia) and consumers (policymakers, publishers, funders, administrators, etc.) of the field. Vicente presented his work in identifying unique researchers from the literature utilizing machine learning to solve the author ambiguity challenge."
     },
     "people_involved_ids": [
         "vicente_amado",

articles/bcbsm_internship_bea/info.json

@@ -16,7 +16,7 @@
     "short_description": "Bea, an undergraduate in the group, is excited to join Blue Cross Blue Shield of Michigan's Analytics Center of Excellence as a Summer 2024 Intern!",
     "cover_image": "website_files/images/article_content/bcbsm.jpeg",
     "content": {
-        "1_para": "Bea, an undergraduate in the group, is excited to join Blue Cross Blue Shield of Michigan's Analytics Center of Excellence as a Summer 2024 Intern! Bea has previously worked with big data and different projects in the Deepthought Initiative Collaboration (DTI). That includes conducting text classification of abstracts with machine learning, website development with GitHub and  web template engines, and creating map visualizations of researcher migration paths. She is eager to explore a new industry and help create impact with her skills. Even more so, Bea is excited to learn and grow as a data scientist through this upcoming experience."
+        "1_para": "[bea_lu], an undergraduate in the group, is excited to join Blue Cross Blue Shield of Michigan's Analytics Center of Excellence as a Summer 2024 Intern! Bea has previously worked with big data and different projects in the Deepthought Initiative Collaboration (DTI). That includes conducting text classification of abstracts with machine learning, website development with GitHub and  web template engines, and creating map visualizations of researcher migration paths. She is eager to explore a new industry and help create impact with her skills. Even more so, Bea is excited to learn and grow as a data scientist through this upcoming experience."
     },
     "people_involved_ids": [
         "bea_lu"

articles/comp_cmse_vicente/info.json

@@ -17,7 +17,7 @@
     "short_description": "Vicente our student passes his comprehensive examination and becomes a PhD candidate.",
     "cover_image": "website_files/images/article_content/cmse_comp_vicente.jpg",
     "content": {
-        "1_para": "Vicente has successfully defended his comprehensive examination titled 'Leveraging Machine Learning to Revolutionize Astrophysics Research Processes: From Peer Review to Research Management'. His work explores how computational techniques like machine learning can enhance various aspects of the research process in astrophysics."
+        "1_para": "[vicente_amado] has successfully defended his comprehensive examination titled 'Leveraging Machine Learning to Revolutionize Astrophysics Research Processes: From Peer Review to Research Management'. His work explores how computational techniques like machine learning can enhance various aspects of the research process in astrophysics."
     },
     "people_involved_ids": [
         "vicente_amado"

articles/geonintern_international_ben/info.json

@@ -17,7 +17,7 @@
     "short_description": "This upcoming August, Benjamin Mellon and fellow undergraduate at MSU, Aardarsh Swaminathan, will intern in Oslo, Norway under Dr. John Aiken.The interns will apply modern AI tools to identify acoustic events occuring in a combined hydrophone and geophone data set acquired in the Oman Drilling Project's Multiborehole observatory.",
     "cover_image": "website_files/images/article_content/2BCAFnorway_geo.jpg",
     "content": {
-        "1_para": "This upcoming August, Benjamin Mellon and fellow undergraduate at MSU, Aardarsh Swaminathan, will intern in Oslo, Norway under Dr. John Aiken. ",
+        "1_para": "This upcoming August, [benjamin_mellon] and fellow undergraduate at MSU, Aardarsh Swaminathan, will intern in Oslo, Norway under Dr. John Aiken. ",
         "2_para": "The interns will apply modern AI tools to identify acoustic events occuring in a combined hydrophone and geophone data set acquired in the Oman Drilling Project's Multiborehole observatory.",
         "3_para": "The students will use a neural network to classify physical occurences for later classification based on limited validation data.",
         "4_para": "The interns are enthusiastic to use cutting edge computing resources to collaboratively devolope AI software solutions for a geophyscal problem."

articles/gracie_at_acres_msu_nsf/info.json

@@ -15,7 +15,7 @@
     "cover_image_width": "520px",
     "cover_image": "media/images/image1.png",
     "content": {
-        "1_para": "Gracie Tvrdik presented her research on the evolution of collaboration dynamics in Astrophysics at the annual ACRES REU (Research Experiences for Undergraduates) Symposium. Her outstanding presentation earned her the 1st Place Outstanding Talk Award.",
+        "1_para": "[gracie_tvrdik] presented her research on the evolution of collaboration dynamics in Astrophysics at the annual ACRES REU (Research Experiences for Undergraduates) Symposium. Her outstanding presentation earned her the 1st Place Outstanding Talk Award.",
         "2_para": "Key points of Gracie's research:",
         "3_para": "<ol><li style='list-style-type: decimal;'><strong>Utilized the NASA/ADS (Astrophysics Data System) dataset</strong> to analyze research dynamics in astrophysics over time.</li><li style='list-style-type: decimal;'><strong>Developed innovative methods</strong> to extract country information from affiliations, enabling accurate tracking of changes in research collaborations.</li><li style='list-style-type: decimal;'><strong>Collaborated with graduate student Vicente Amado Olivo</strong> and undergraduate Ben Mellon from our research group.</li></ol>",
         "4_para": "The project outcomes showcase Gracie's exceptional research skills and hard work. Congratulations to Gracie for her outstanding achievement and to Vicente for his guidance throughout the project."    

articles/identify_telescope_machine_vicente/info.json

@@ -5,7 +5,9 @@
     "display": true,
     "date": "11-12-2024",
     "category": "News",
-    "tags": ["news"],
+    "tags": [
+        "news"
+    ],
     "platforms": [
         "kg",
         "dti"
@@ -15,14 +17,19 @@
     "cover_image_width": "520px",
     "cover_image": "media/images/mastvsnomast.png",
     "content": {
-        "1_para": "Vicente, our graduate student and collaborators, have developed a machine learning framework that automatically identifies when scientific facilities like telescopes are used in astrophysics papers, addressing a long-standing challenge in tracking research facility usage.",
+        "1_para": "[vicente_amado], our graduate student and collaborators, have developed a machine learning framework that automatically identifies when scientific facilities like telescopes are used in astrophysics papers, addressing a long-standing challenge in tracking research facility usage.",
         "2_img": "media/images/mastvsnomast.png",
-        "3_para": "The framework analyzes scientific text using natural language processing and Support Vector Machine classification to accurately detect when missions like Kepler and TESS are used in research, achieving 92.9% accuracy. This innovative approach saves valuable research time by eliminating the need for manual classification while being adaptable for use across various scientific facilities worldwide. To see more and read the full paper: https://arxiv.org/abs/2411.00987.",
+        "3_para": "The framework analyzes scientific text using natural language processing and Support Vector Machine classification to accurately detect when missions like Kepler and TESS are used in research, achieving 92.9% accuracy. This innovative approach saves valuable research time by eliminating the need for manual classification while being adaptable for use across various scientific facilities worldwide. To see more and read the full paper: <a href='https://arxiv.org/abs/2411.00987'>https://arxiv.org/abs/2411.00987</a>.",
         "4_img": "media/images/fig_2.png",
-        "5_para":" <p>Collaborators:</p><ul><li> - <strong>Wolfgang Kerzendorf</strong> (Department of Computational Mathematics, Science, and Engineering; Department of Physics and Astronomy, Michigan State University)</li> <li> - <strong>Brian Cherinka</strong> (Space Telescope Science Institute)</li><li> - <strong>Joshua V. Shields</strong> (Department of Physics and Astronomy, Michigan State University)</li><li> - <strong>Annie Didier</strong> (Outrider, Golden)</li><li> - <strong>Katharina von der Wense</strong> (Department of Computer Science, University of Colorado Boulder; Institute of Computer Science, Johannes Gutenberg University Mainz)</li></ul>"
+        "5_para": " <p>Collaborators:</p><ul><li> - <strong>[wolfgang_kerzendorf]</strong> (Department of Computational Mathematics, Science, and Engineering; Department of Physics and Astronomy, Michigan State University)</li> <li> - <strong>Brian Cherinka</strong> (Space Telescope Science Institute)</li><li> - <strong>[josh_shields]</strong> (Department of Physics and Astronomy, Michigan State University)</li><li> - <strong>Annie Didier</strong> (Outrider, Golden)</li><li> - <strong>Katharina von der Wense</strong> (Department of Computer Science, University of Colorado Boulder; Institute of Computer Science, Johannes Gutenberg University Mainz)</li></ul>"
+    },
+    "people_involved_ids": [
+        "josh_shields",
+        "wolfgang_kerzendorf",
+        "vicente_amado"
+    ],
+    "links": {
+        "full-paper": "https://arxiv.org/abs/2411.00987"
     },
-    "people_involved_ids": [    "Annie Didier",    "josh_shields",
-    "wolfgang_kerzendorf", "vicente_amado",  "Katharina von der Wense" ],
-    "links": {"full-paper": "https://arxiv.org/abs/2411.00987"},
     "twitter": ""
 }

articles/logger_widget_2024/info.json

@@ -17,7 +17,7 @@
     "cover_image_width": "330px",
     "cover_image": "../articles/logger.gif",
     "content": {
-        "1_para": "During TARDIS Con 2024, a collaborative effort by Deeksha, Jaladh, Jing, and Anirban led to the development of a logging widget for TARDIS simulation runs. This widget organizes logging information into four tabs with the categories: warnings and errors, detailed simulation run information (including convergence and iteration details), debugging logs, and a comprehensive tab that consolidates all logs in the order they occur.",
+        "1_para": "During TARDIS Con 2024, a collaborative effort by [deeksha_mohanty], [jaladh_singhal], [jing_lu], and [anirban_dutta] led to the development of a logging widget for TARDIS simulation runs. This widget organizes logging information into four tabs with the categories: warnings and errors, detailed simulation run information (including convergence and iteration details), debugging logs, and a comprehensive tab that consolidates all logs in the order they occur.",
         "2_para": "The new logging widget enhances the user experience by providing a clear overview of the simulation's performance and potential issues."
     },
     "people_involved_ids": [

articles/natsci_fellowship_yuki/info.json

@@ -16,7 +16,7 @@
     "short_description": "Yuki and Wolfgang were awarded from the College of Natural Science at Michigan State University.",
     "cover_image": "website_files/images/article_content/natsci.jpg",
     "content": {
-        "1_para": "Yuki and Wolfgang were awarded from the College of Natural Science at Michigan State University.The program incentivizes graduate students and their mentors to spend some time away from their research to focus on inclusion, diversity, equity, and accessibility, or IDEA, initiatives and projects."
+        "1_para": "[yuki_matsumura] and [wolfgang_kerzendorf] were awarded from the College of Natural Science at Michigan State University.The program incentivizes graduate students and their mentors to spend some time away from their research to focus on inclusion, diversity, equity, and accessibility, or IDEA, initiatives and projects."
     },
     "people_involved_ids": [
         "yuki_matsumura",

articles/news_nsf22_collab/info.json

@@ -16,7 +16,7 @@
     "short_description": "We are thrilled to announce that our NSF research proposal on studying massive stars and their explosive deaths, known as Stripped Supernovae, has been selected for funding.",
     "cover_image": "website_files/images/article_content/nsf22_collab_stripped.jpg",
     "content": {
-        "1_para": "We are delighted to announce that our NSF research proposal (led by Maryam Modjaz, Wolfgang Kerzendorf with large contributions by Marc Williamson) on the study of massive stars and their explosive deaths, known as Stripped Supernovae, has successfully secured funding. With access to the largest dataset of Stripped Supernovae in existence, our team aims to unravel the complexities surrounding these cataclysmic events. By analyzing the optical spectra and light curves of three dozen Stripped Supernovae, along with employing the open-source radiative transfer code TARDIS and machine learning technology, we will gain unprecedented insights into the progenitor make-up and explosion dynamics of these cosmic phenomena. This research has far-reaching implications, not only for understanding stellar evolution, but also for exploring the conditions required for jet production and clarifying the contentious SN-GRB progenitor models. By shedding light on these fundamental aspects, we will pave the way for utilizing Stripped Supernovae as indicators of star formation across vast cosmic distances and investigating their role in re-ionizing the Universe. Furthermore, our findings will help advance the field of time-domain astronomy, as our modeling framework can be adapted to analyze other types of supernovae and astrophysical events, such as Superluminous SNe Ic and kilonova spectra. This project will enable us to address critical questions, resolve long-standing controversies, and contribute to a deeper understanding of the cosmos."
+        "1_para": "We are delighted to announce that our NSF research proposal (led by Maryam Modjaz, [wolfgang_kerzendorf] with large contributions by Marc Williamson) on the study of massive stars and their explosive deaths, known as Stripped Supernovae, has successfully secured funding. With access to the largest dataset of Stripped Supernovae in existence, our team aims to unravel the complexities surrounding these cataclysmic events. By analyzing the optical spectra and light curves of three dozen Stripped Supernovae, along with employing the open-source radiative transfer code TARDIS and machine learning technology, we will gain unprecedented insights into the progenitor make-up and explosion dynamics of these cosmic phenomena. This research has far-reaching implications, not only for understanding stellar evolution, but also for exploring the conditions required for jet production and clarifying the contentious SN-GRB progenitor models. By shedding light on these fundamental aspects, we will pave the way for utilizing Stripped Supernovae as indicators of star formation across vast cosmic distances and investigating their role in re-ionizing the Universe. Furthermore, our findings will help advance the field of time-domain astronomy, as our modeling framework can be adapted to analyze other types of supernovae and astrophysical events, such as Superluminous SNe Ic and kilonova spectra. This project will enable us to address critical questions, resolve long-standing controversies, and contribute to a deeper understanding of the cosmos."
     },
     "people_involved_ids": [
         "wolfgang_kerzendorf",