July 21, 2024

There are no events currently scheduled for July 21st.

July 23, 2024

• 8:30 - 9:00 am EDT

  Arrive, sign in, get settled

  - 11th Floor Collaborative Space
• 9:00 - 10:00 am EDT

  Check in with TAs

  - 10th Floor Collaborative Space
• 10:00 - 10:30 am EDT

  Group Work

  Assigned Group Meeting Space
• 10:30 - 11:00 am EDT

  Break

  Coffee Break
• 11:00 - 11:15 am EDT

  Question of the Day

  - 10th Floor Collaborative Space
• 11:15 am - 12:00 pm EDT

  Group Work

  Assigned Group Meeting Space
• 12:00 - 1:30 pm EDT

  Rick Cleary Talk and Lunch Title: Scoring Distributions Across Sports: Peaks and Valley, Streaks and Surprises.

  10th Floor Collaborative Space

  • Rick Cleary, Babson College

  Abstract

  bstract: In this era of legalized gambling, there are many opportunities to wager on the score of games in team sports. To understand the value of these bets for pricing purposes, we need to study the outcomes in a sport to learn the frequencies with which team scores appear. There are major differences between high scoring sports like basketball, low scoring sports like soccer and sports like American football with irregular scoring opportunities with lots of multiples of sevens and threes. Studying these distributions leads to interesting probability questions that Prof. Peter Staab (Fitchburg State University) and I have studied in a just published article, see https://www.comap.com/resources/free-resources/umap . <
  > <
  > Bio: RICK CLEARY teaches at Babson College where he is Professor of Mathematics and Statistics and Weissman family Professor of Business Analytics. He has previously taught at Bentley University, Harvard University, Cornell University and St. Michael’s College. He works as an applied statistician in various fields, with recent publications related to sports, fraud detection in accounting, measuring creativity in business students, and biomechanics. Rick is the Vice-President of the Mathematical Association of America, and serves as first editor of a new journal, Scatterplot, that debuted in 2024 with a goal of helping mathematics teachers prepare students for careers in data science. He has athletic experience as a runner (including 32 Boston marathons), a high school and college cross country coach, a race director and a youth sports coach in soccer, basketball and baseball.
• 1:30 - 3:00 pm EDT

  Group Work

  Assigned Group Meeting Space
• 3:00 - 3:30 pm EDT

  Coffee Break

  10th Floor Collaborative Space
• 3:30 - 4:30 pm EDT

  Group Work/ Writing Time

  Group Work - Assigned Group Meeting Space

• 9:00 am - 12:30 pm EDT

  Team Research

  Group Work - Assigned Group Meeting Space
• 12:30 - 2:00 pm EDT

  Lunch/Free Time
• 2:00 - 3:30 pm EDT

  Team Research

  Group Work - Assigned Group Meeting Space
• 3:30 - 4:00 pm EDT

  Coffee Break
• 4:00 - 5:00 pm EDT

  Group Briefing - Report Out

  Group Presentations - 11th Floor Lecture Hall

July 24, 2024

• 8:30 - 9:00 am EDT

  Arrive, sign in, get settled

  - 11th Floor Collaborative Space
• 9:00 - 9:30 am EDT

  Check in with TAs

  - 10th Floor Collaborative Space
• 9:30 - 10:30 am EDT

  Group Work

  Assigned Group Meeting Space
• 10:30 - 11:00 am EDT

  Break

  Coffee Break
• 11:00 am - 12:00 pm EDT

  Group Work

  Assigned Group Meeting Space
• 12:00 - 1:30 pm EDT

  Lunch/Free Time
• 1:30 - 3:00 pm EDT

  Group Work

  Assigned Group Meeting Space
• 3:00 - 3:30 pm EDT

  Coffee Break

  10th Floor Collaborative Space
• 3:30 - 4:00 pm EDT

  Group Work / Writing Time

  Group Work - Assigned Group Meeting Space
• 4:00 - 5:00 pm EDT

  Dr. Suzanne Weekes Talk/Discussion

  10th Floor Collaborative Space

• 9:00 - 10:40 am EDT

  Lightning Talks

  11th Floor Lecture Hall

  • Jimmie Adriazola, University of California, Santa Barbara
  • Rafael Ceja Ayala, Purdue University
  • Weiqi Chu, University of Massachusetts Amherst
  • Maurice Fabien, University of Wisconsin
  • Andrés Galindo-Olarte, University of Texas at Austin
  • Cesar Herrera Garro, Purdue University
  • Yulia Hristova, University of Michigan - Dearborn
  • Brittany Leathers, University of California, Merced
  • Tongtong Li, Dartmouth College
  • Ruma Maity, University of Innsbruck
  • Fnu Nisha, CLEMSON UNIVERSITY
  • Victory Obieke, Oregon State University
  • Iván Ojeda-Ruiz, Texas State University
  • Zhaiming Shen, University of Georgia
  • Wanda Strychalski, Case Western Reserve University
  • Fatma Terzioglu, North Carolina State University
  • Shanyin Tong, Columbia University
  • Yunan Yang, Cornell University
  • Jiajia Yu, Duke University
• 10:40 - 11:10 am EDT

  Coffee Break

  11th Floor Collaborative Space
• 11:10 am - 12:25 pm EDT

  Team Research

  Group Work - Assigned Group Meeting Space
• 12:25 - 12:30 pm EDT

  Group Photo

  Group Photo (Immediately After Talk) - 11th Floor Lecture Hall
• 12:30 - 2:00 pm EDT

  Lunch/Free Time
• 2:00 - 3:30 pm EDT

  Professional Development Session I - Mentoring

  Panel Discussion - 11th Floor Lecture Hall

  • Moderator
  • Vrushali Bokil, Oregon State University

  • Panelists
  • Andrea Arnold, Worcester Polytechnic Institute
  • Ricardo Cortez, Tulane University
  • Maurice Fabien, University of Wisconsin
  • Jingwei Hu, University of Washington
• 3:30 - 4:00 pm EDT

  Coffee Break
• 4:00 - 5:00 pm EDT

  Team Research

  Group Work - Assigned Group Meeting Space

July 25, 2024

• 8:30 - 9:00 am EDT

  Arrive, sign in, get settled

  - 11th Floor Collaborative Space
• 9:00 - 9:30 am EDT

  Check in with TAs

  - 10th Floor Collaborative Space
• 9:30 - 10:30 am EDT

  Group Work

  Assigned Group Meeting Space
• 10:30 - 11:00 am EDT

  Break

  Coffee Break
• 11:00 - 11:15 am EDT

  Question of the Day
• 11:15 am - 12:00 pm EDT

  Group Work

  Assigned Group Meeting Space
• 12:00 - 1:30 pm EDT

  Lunch/Free Time
• 1:30 - 3:30 pm EDT

  Group Work

  Assigned Group Meeting Space
• 3:00 - 3:30 pm EDT

  Coffee Break

  10th Floor Collaborative Space
• 3:30 - 4:30 pm EDT

  Group Work

  Assigned Group Meeting Space

• 9:00 am - 12:30 pm EDT

  Team Research

  Group Work - Assigned Group Meeting Space
• 12:30 - 2:00 pm EDT

  Lunch/Free Time
• 2:00 - 3:30 pm EDT

  Professional Development Session II - Careers and Negotiation Skills

  Panel Discussion - 11th Floor Lecture Hall

  • Moderators
  • Sigal Gottlieb, University of Massachusetts Dartmouth
  • Fengyan Li, Rensselaer Polytechnic Institute

  • Panelists
  • Vrushali Bokil, Oregon State University
  • Jennifer Ryan, KTH Royal Institute of Technology
  • William Taitano, Los Alamos National Laboratory
  • Suzanne Weekes, SIAM
• 3:30 - 4:00 pm EDT

  Coffee Break
• 4:00 - 5:00 pm EDT

  Group Briefing - Report Out

  Group Presentations - 11th Floor Lecture Hall

July 26, 2024

• 8:30 - 9:00 am EDT

  Arrive, sign in, get settled

  - 11th Floor Collaborative Space
• 9:00 - 9:30 am EDT

  Check in with TAs

  - 10th Floor Collaborative Space
• 9:30 - 10:30 am EDT

  Group Work

  Assigned Group Meeting Space
• 10:30 - 11:00 am EDT

  Break

  Coffee Break
• 11:00 - 11:15 am EDT

  Question of the Day
• 11:15 am - 12:00 pm EDT

  Group Work

  Assigned Group Meeting Space
• 12:00 - 1:30 pm EDT

  Lunch/Free Time
• 1:30 - 3:00 pm EDT

  Group Work

  Assigned Group Meeting Space
• 3:00 - 3:30 pm EDT

  Coffee Break

  10th Floor Collaborative Space
• 3:30 - 4:30 pm EDT

  Group Work / Writing Time

  Group Work - Assigned Group Meeting Space

• 9:00 - 10:00 am EDT

  Leveraging diversity in all dimensions to predict multiscale meteorology and its impacts

  Seminar - 11th Floor Lecture Hall

  • Kate Evans, ORNL

  Abstract

  Our stakeholders are requesting accurate, actionable weather forecasts that include information about impacts upon the water cycle, energy infrastructure, disease propagation and other related and interconnected targets. The community is motivated to realize a vision to deliver custom and complex predictions of meteorologically-based events by developing and implementing a multipronged strategy. The nature of the complexities could be manifested in many dimensions e.g., spatial regions, time scales, and data products. Our strategy includes continued computational weather model development to leverage emerging high performance computing resources through improved algorithms, portable software strategies, pervasive evaluation metrics, data management, and related research. Applying these more powerful and flexible models to diagnose and predict a diverse suite of weather impact events e.g., flooding, air pollution, power interruptions, disease outbreaks, etc. requires coordinated and specialized interactions of weather model output with multiple impact model types, data structures and volumes, software, security protocols, and scientific cultures. This talk presents considerations in planning, executing, and optimizing multidomain coupling, workflows and communication strategies to create an organized ecosystem of models, data, and protocols for these complex yet compelling science challenges. Several examples of projects to address them are presented to highlight progress in this direction and how much interesting research is still before us. The creation of best practices, development of community benchmarks, and identification of community needs, and including all voices in the process is also needed to enable multifaceted, actionable, and flexible forecasts of weather impacts that will save lives, mitigate damage, and spur adaptation for future risks.
• 10:00 - 10:30 am EDT

  Coffee Break

  11th Floor Collaborative Space
• 10:30 am - 12:30 pm EDT

  Team Research

  Group Work - Assigned Group Meeting Space
• 12:30 - 2:00 pm EDT

  Group Lunch -National Laboratories and Industry Connections

  Working Lunch - 11th Floor Collaborative Space
• 2:00 - 3:30 pm EDT

  Team Research

  Group Work - Assigned Group Meeting Space
• 3:30 - 4:00 pm EDT

  Coffee Break
• 4:00 - 5:00 pm EDT

  Social Event / Free Time

July 27, 2024

There are no events currently scheduled for July 27th.