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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Data Synergy: Converging Analysis with Interdisciplinary Model
 s
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260516T201257Z
UID:tag:localist.com\,2008:EventInstance_44525363649682
DTSTART:20231020T191500Z
DTEND:20231020T200000Z
DESCRIPTION:The panel embarks on an interdisciplinary exploration\, converg
 ing applied mathematics and Machine Learning. It begins by examining re-ex
 posure effects on individuals previously infected during disease outbreaks
 \, utilizing advanced mathematical models to unravel post-infection dynami
 cs crucial for shaping effective public health strategies. Shifting focus 
 to cybersecurity\, the discussion delves into analysis and predictions of 
 persistent vulnerabilities\, employing a fusion of Machine Learning and Da
 ta Analysis. It proactively identifies and mitigates digital susceptibilit
 ies\, enhancing cybersecurity measures. Further\, epidemiology takes the s
 potlight\, with a study on the impact of COVID-19 variant transitions usin
 g meta-population modeling\, facilitated by mathematical foundations to co
 mprehend variant-specific transmission patterns and inform targeted interv
 entions. Lastly\, the panel explores the mathematics behind reconstructing
  limited data\, particularly in SONAR technology\, emphasizing the transfo
 rmative role of mathematical algorithms in enhancing data accuracy and uti
 lity. Collectively\, these interdisciplinary endeavors underscore the dive
 rse and impactful roles of computer science\, data science\, and mathemati
 cs in addressing multifaceted real-world challenges.\n\nModerator:\n\nChri
 stopher Cox\, Visiting Lecturer in MathematicsSpeakers:\n\nRuby Sapkota '2
 5\, Computer Science and Economics double majorAnqi Wei '24\, Mathmatics a
 nd Psychology double majorMariam Fatima '25\, Mathmatics and Computer Scie
 nce double majorSophie Su '24\, Mathmatics and Data Science double major
LOCATION:Cleveland\, L1
SUMMARY:Data Synergy: Converging Analysis with Interdisciplinary Models
URL;VALUE=URI:https://events.mtholyoke.edu/event/data_synergy_converging_an
 alysis_with_interdisciplinary_models
CATEGORIES:Lectures & Presentations
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