Call for student participants: The First AI-SCORE summer school

[Ferdinando Fioretto]

Call for student participants: The First AI-SCORE summer school

We are trilled to announce AI-SCORE, the Artificial Intelligence School for Operations Research Education, a first-of-its-kind school aimed towards seeding research at the exciting nexus of OR and AI towards creating new AI methodologies. AI-SCORE will create a series of summer/winter schools to motivate young researchers to build careers in these rich and yet untapped areas of research by demonstrating the synergies between these fields, to seed new directions, and demonstrate the importance of OR in making AI advances. The school will articulate the state-of-the-art as well as seed future directions of cross-community research. 

The focus participants of AI-SCORE are early doctoral cohorts and on embedding this next generation of AI and OR researchers with the tools to speak each other’s methodological languages, concretely collaborate across disciplines and pose challenge problems that are positioned to spur the kinds of advances we believe are possible.

** School Information ** 

The first iteration of AI-SCORE will be held from **May 27th to June 1st 2024**, in **Washington DC, on the University of Maryland campus**. 

AI-SCORE has carefully curated senior and mid-career experts, with topiAI, tutorials and exercises interwoven across OR and AI communities. This inaugural summer school will begin with keynote lectures by senior researchers to provide overviews of the evolution of foundational and AI-related concepts in OR and AI; to introduce bridges that have been built across these fields thus far, and present vision towards future research. 

Keynote speakers during the first iteration of AI-SCORE are Profs. Michael Fu (University of Maryland), Kevin Leyton-Brown (University of British Columbia), Tuomas Sandholm (Carnegie Mellon University) and David Shmoys (Cornell University). 

Two thematic modules representing synergies between OR and AI have been chosen for deep-diving discussion and coding exercises: 

(i) Fairness and 

(ii) Reinforcement Learning. 

Faculty experts will jointly create thematic tutorials accompanied by curated datasets and exercises involving hands-on participation by students in cross-disciplinary teams. The Fairness module will be led by Profs. Siddhartha Banerjee (Cornell University) and Aaron Roth (University of Pennsylvania), and the Reinforcement Learning module by Vivek Farias (MIT) and Scott Sanner (University of Toronto). 

 

The inaugural AI-SCORE is generously sponsored by the National Science Foundation, University of Maryland Smith School of Business, AI Journal, and SIGACT.

 

** Student eligibility criteria ** 

Students that are entering their 2nd year of PhD in Fall 2024, or just completed 2nd year of PhD in Spring 2024. Student from underrepresented communities are especially encouraged to apply. Only 15 students each from the fields of OR and AI will be selected due to space constraints.

 

Application material: Please fill the short Google form at https://forms.gle/JeWcocgEKvupsutf6

The form will request the student CV, a one-page (maximum) statement describing the problem area at the intersection of OR and AI being explored by the student as a PhD topic, and a short statement from the PhD advisor confirming the anticipated benefit letter of recommendation (maximum half a page). 

 

Application Deadline: May 1, 2024 (including the advisor’s support letter). 

Selected participants will be informed by May 4, 2024 in order to book flight tickets and make other logistical arrangements.

** Financial support and logistical details **

Hotel plus travel support for non-local students from AI-SCORE will be capped at $1000. A block of hotel rooms have been blocked at the College park Marriott hotel, at the pre-tax rate of $159 (1 queen, single occupancy) and $179 (2 queen, shared by two participants). 

Beyond the 15 funded students per area, another 5 students may be admitted if fully self-funded by their own institutions/research groups. 

Meals will be fully covered for the duration of the school for all participants, beginning on the morning of May 27th to the afternoon of June 1st.

 

Questions? Please reach out to Lavanya Marla lava...@illinois.edu and Ferdinando Fioretto fior...@virginia.edu. 

[Ferdinando Fioretto]

Call for student participants: The First AI-SCORE summer school

We are trilled to announce AI-SCORE, the Artificial Intelligence School for Operations Research Education, a first-of-its-kind school aimed towards seeding research at the exciting nexus of OR and AI towards creating new AI methodologies. AI-SCORE will create a series of summer/winter schools to motivate young researchers to build careers in these rich and yet untapped areas of research by demonstrating the synergies between these fields, to seed new directions, and demonstrate the importance of OR in making AI advances. The school will articulate the state-of-the-art as well as seed future directions of cross-community research. 

The focus participants of AI-SCORE are early doctoral cohorts and on embedding this next generation of AI and OR researchers with the tools to speak each other’s methodological languages, concretely collaborate across disciplines and pose challenge problems that are positioned to spur the kinds of advances we believe are possible.

** School Information ** 

The first iteration of AI-SCORE will be held from **May 27th to June 1st 2024**, in **Washington DC, on the University of Maryland campus**. 

AI-SCORE has carefully curated senior and mid-career experts, with topiAI, tutorials and exercises interwoven across OR and AI communities. This inaugural summer school will begin with keynote lectures by senior researchers to provide overviews of the evolution of foundational and AI-related concepts in OR and AI; to introduce bridges that have been built across these fields thus far, and present vision towards future research. 

Keynote speakers during the first iteration of AI-SCORE are Profs. Michael Fu (University of Maryland), Kevin Leyton-Brown (University of British Columbia), Tuomas Sandholm (Carnegie Mellon University) and David Shmoys (Cornell University). 

Two thematic modules representing synergies between OR and AI have been chosen for deep-diving discussion and coding exercises: 

(i) Fairness and 

(ii) Reinforcement Learning. 

Faculty experts will jointly create thematic tutorials accompanied by curated datasets and exercises involving hands-on participation by students in cross-disciplinary teams. The Fairness module will be led by Profs. Siddhartha Banerjee (Cornell University) and Aaron Roth (University of Pennsylvania), and the Reinforcement Learning module by Vivek Farias (MIT) and Scott Sanner (University of Toronto). 

 

The inaugural AI-SCORE is generously sponsored by the National Science Foundation, University of Maryland Smith School of Business, AI Journal, and SIGACT.

 

** Student eligibility criteria ** 

Students that are entering their 2nd year of PhD in Fall 2024, or just completed 2nd year of PhD in Spring 2024. Student from underrepresented communities are especially encouraged to apply. Only 15 students each from the fields of OR and AI will be selected due to space constraints.

 

Application material: Please fill the short Google form at https://forms.gle/JeWcocgEKvupsutf6

The form will request the student CV, a one-page (maximum) statement describing the problem area at the intersection of OR and AI being explored by the student as a PhD topic, and a short statement from the PhD advisor confirming the anticipated benefit letter of recommendation (maximum half a page). 

 

Application Deadline: May 4, 2024 (including the advisor’s support letter).  [extended]

Selected participants will be informed by May 11, 2024 in order to book flight tickets and make other logistical arrangements.