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Rising Stars

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The Event Registration form for the Rising Stars workshop is now closed. Please stay tuned for information regarding the 2024 Rising Stars Workshop!

OVERVIEW

The Management Science and Engineering Department (MS&E) at Stanford University is launching its first annual Rising Stars Workshop to run Tuesday, May 2nd from 8am to 6pm. The workshop aims to increase representation and diversity in the interdisciplinary fields represented by MS&E, while focusing on celebrating and fast-tracking the careers of exceptional young scholars at a critical inflection point in their career. The workshop will showcase the exciting, innovative research by this group of rising scholars and provide PhD students the opportunity to plug into networks, platforms, and opportunities. 

 

WORKSHOP AGENDA

8:00-9:00 am Breakfast & Welcome

9:00-9:45 am Presentations: 

Computational Social Science 1


Bailey Flanigan
The societal benefits of public-spirited voting

Serena Wang
Bridging gaps between metrics and goals in modern machine learning ecosystems

Zhengchao Wang
The Awkward Art of Asking: Optimal Fundraising for Non-Profit Organizations


9:45-10:00 am Break

10:00-10:45 am Presentations: 

Organizations and Innovation 


Richard Ndubuisi Ugwuanyi
Is the Metaverse a Double-Edged Sword? Virtual Reality Technology and Team Performance

Jaeho Kim
Hidden Costs of High Performers in Organizations: Startup Inventor Knowledge Composition and Innovation Performance

Fernando Stipanicic Márquez
The Creation and Diffusion of Knowledge: Evidence from the Jet Age


10:45-11:00 am Break

11:00-12:00 pm Panel Session:

Preparing for the Academic Job Market

12:00-1:30 pm Lunch & Networking

1:30-2:30 pm Presentations: 

Quantitative Methods


Jalani Williams
Bounds on the M/M/k/Setup with Deterministic setup times

Yueyang Liu
Non-Stationary Bandit Learning via Predictive Sampling 

Yiling Xie
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning

Nicholas Johnson
Sparse Plus Low Rank Matrix Decomposition : A Discrete Optimization Approach


2:30-2:45 pm Break

2:45-3:45 pm Presentations: 

Sustainability and the Developing World


Chika Okafor
Understanding and Motivating U.S. Climate Action

Lily Xu
Learning and Planning Under Uncertainty for Wildlife Conservation

Aparajita Agarwal

Mobile Money as a Stepping Stone towards Financial Inclusion: How Digital Multi-Sided Platforms Intermediate to fill Institutional Voids

Chinasa Okolo
Examining Perceptions of Explainable AI with Community Health Workers in Rural India


3:45-4:00 pm Break

4:00-5:00 pm Mentoring 

5:00-5:45 pm Presentations: 

Computational Social Science 2


Christian Ikeokwu
Disincentivizing Polarization in Social Networks

Nicola Ritsch
Using Broadband Infrastructure as a Social Sensor to Detect Inequities in Unemployment During the COVID-19 Pandemic

Meena Jagadeesan
Supply-Side Effects of Content Recommendation Algorithms


5:45-6:00 pm Closing & Group Photo

7:00-8:30 pm Off Campus Dinner & Networking