This workshop's format consists of in-person lectures/tutorials and research talks.
We are excited to lead lectures and hands-on labs by synthesizing and communicating with students, all while sharing MIT's approach to science and engineering. We expect that through this program, students envision exciting intersections for future collaborations that ultimately benefit our world.
We welcome applications from all the corners and will work towards having a diverse pool of applicants and open as many spots as possible to have you join us during January 2023.
There is no registration cost associated with any parts of our workshops.
As part of our student cohort, you'll not only get to experience formal learning but also will have networking opportunities with other attendees through coffee and lunch breaks.
Logistics
This workshop's format consists of *in-person* lectures and research talks. Hence, you'll be expected to attend in person if accepted as part of our cohort. Hybrid mode may not be available at this time.
We expect that through this program, students envision exciting intersections for future collaborations that ultimately benefit our world.
The hand-on activities uniquely designed for the MIT-Chile workshop will be technical, and we will expect you to pose research questions, play with coding notebooks, and discuss with your peers. We invite students, learners, and professionals pursuing independent studies or undergraduate and graduate degrees to apply as well as those in industry who are seeking to deepen their knowledge and motivations to learn more about the convergence of Human-Centered Machine Learning (ML), Data Visualization (Viz), and Causal Inference.
Note that we will not cover study cases or industry-focused development as much as we will focus in ongoing research work being carried by our lineup of lecturers and speakers.
Selection criteria
In the scenario that our pool of applicant exceeds the quorum that we are capable of bringing in, we will focus our selection criteria in the following aspects:
- Baseline: Interest in a mix of Math / CS / Visualization / Design / Social Science.
- Baseline: At least one programming course approved or independent hands-on learning.
- Baseline: Interest in Human-Centered AI & Visualization or Human-Centered AI Research.
- Baseline: Proficiency in spoken English.
If you apply to give a lighting talk (10min talk + 5min Q&A) or present a poster, your submission will undergo a single-blind review process to assess the fit of your work and its academic rigor. We welcome and encourage presentation of full-papers, short-papers, or work-in progress unpublished work.
Language requirement
While students will be invited to participate in Q&A in both English and Spanish, all lectures will be performed in English. Lightning talks are also expected to be in English. You are welcome to present a poster in a language of your preference.
Important Dates
- Application Opens: November 04, 2022
- Application Deadline: December 05, 2022
- Acceptance Notification: December 29, 2022
Resources
Lecture 1, Belén Saldías: Resources.
Lecture 2, Maggie Hughes: Resources.
Lecture 3, Mohit Karnani: Resources.
Lecture 4, Carlos Navarrete: Resources 1 Resources 2
Lecture 5, Manuel Perez: Resource 1
Lecture 6, Cristóbal Donoso-Oliva: Resources.