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# Sphinx build info version 1
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14 changes: 9 additions & 5 deletions _sources/join.md.txt
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# Join
# Join the lab



Expand All @@ -9,7 +9,7 @@ Dr. Brown can supervise research for you to get experience to decide if you want
If you are interested, please read the website to learn about the work and [submit this form just for current URI students](https://forms.gle/u8JCvdRJaYLbc4To7). The form notifies Dr. Brown by e-mail and allows you to book a meeting as an interview.


Typically, I prefer to work with students who have taken CSC310 (with any professor) or CSC392 (with me).
Typically, I prefer to work with students who have taken CSC310 (with any professor) or CSC392/CSC311 (with me).

### Current Open Projects
::::{card-carousel} 2
Expand All @@ -25,7 +25,9 @@ Example tasks:

Build skills in software engineering, project management, and working with other developers.

Prereq: CSC392 or demonstrated proficiency in git, bash, and IDEs
Prereq:
- CSC392/CSC311 or demonstrated proficiency in git, bash, and IDEs
- *and* proficiency in Python

:::
:::{card} When do fair ML algorithms work?
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## Prospective Graduate Students

Graduate students in our lab are in the URI Computer Science MS or PhD program, if you apply to this program, Dr. Brown will see your application. To be considered, mention the lab name and why you want to do research aligned with the lab's research goals in your personal statement.
Graduate students in our lab are in the URI Computer Science MS or PhD program. If you apply to this program, Dr. Brown will see your application. To be considered to join the lab, mention the lab name and *why* you want to do research aligned with the lab's research goals in your personal statement.

URI CS Graduate Programs do not use GRE scores, if you send an e-mail that includes them it will not be considered.

Dr. Brown gets many inquiries from prospective students. To make your e-mail stick out, be sure to mention how your interested align with the labs goals and make it easy to find. To make your e-mail easy to find, use the subject, "Prospective ML4STS Lab member - <MS/PhD>" with the appropriate degree based on what you are applying to and send your e-mail to `[email protected]`. Other inquiries may not be addressed.
Dr. Brown gets many inquiries from prospective students. To make your e-mail stick out, be sure to mention how your interested align with the labs goals and make it easy to find. To make your e-mail easy to find, use the subject, `Prospective ML4STS Lab member - <MS/PhD>` with the appropriate degree based on what you are applying to selected and send your e-mail to `[email protected]`. Other inquiries may not be addressed.

Dr. Brown priortiizes research integrity and thoughtfulness in research, using automation inappropriately in the process of searching for graduate school is inconsistent with this. Any students who send emails that seem automated will not be considered for lab membership.

## Other inquiries

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---
date: 2022-08-26
---

# Dr. Brown will serve as FAccT D&I chair for 2 years

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date: 2023-09-10
---

# Welcome to new Undergraduate Researchers Kyle and Brendan

Kyle will be working on applying ML to Antimicrobial Peptide (AMP) design.

Brendan will be working on softare improvements to internal tools used in the lab.
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date: 2024-01-18
---


# Dr Brown presented on What is AI at the Academic Summit for URI Faculty
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date: 2024-01-23
---

# Welcome to new undergraduates Lani, Noah, Trevor, and Rohan

Lani will be working on understanding how problem formulation is/not described in current
ML research.

Trevor and Noah will be joining Brendan to work on internal tooling for the lab.

Rohan will be working on simulating biased data to be able to better characterize when fairness intervetions succeed and fail to mitigate biases.
11 changes: 11 additions & 0 deletions _sources/news/2024-03-04-mc-wids.md.txt
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---
date: 2024-03-04
---

# Dr. Brown gave a keynote at Middlebury College Women in Data Science conference

**title** Data Science Skills in Unexpected Places

**abstract** Data science is a highly interdisciplinary pursuit, combining computer science and statistics with domain expertise to make sense of data. This means as data scientists we must work closely with domain experts or develop enough domain expertise of our own for each project. In this talk, I will share the story behind a few data science projects I have done: how high school social studies helped me develop a learning PTSD diagnosis, undergraduate advanced writing helps me measure understanding of fairness in AI, and how student leadership experiences help me design tools for data scientists to build better models.

[event](https://www.middlebury.edu/events/event/women-data-science-conference-0)
7 changes: 7 additions & 0 deletions _sources/news/2024-03-22-nsbe50.md.txt
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date: 2024-03-22
---

# Dr. Brown will present a workshop at NSBE 50

The workshop will be a hands on workshop to build a profile website using github pages.
9 changes: 9 additions & 0 deletions _sources/news/2024-03-29-fireside.md.txt
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date: 2024-03-29
---

# Dr Brown will participate in the AI lab Fireside chat series

**title** How to anticipate risks in AI-enhanced research

**abstract** ML-powered AI is increasingly appearing in all areas of research. However, ML is still in many ways a research output, more of a prototype than a polished, reliable, product. Even commercially released systems, because they are software, can be released without the same rigorous testing that commercially available research equipment has been traditionally be subject to. In this talk, I will draw connections between the ML research process and potential risks in applied ML and use of commercial AI in research.
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Expand Down Expand Up @@ -517,20 +517,22 @@ <h1>ML4STS lab<a class="headerlink" href="#ml4sts-lab" title="Permalink to this
<h2>News<a class="headerlink" href="#news" title="Permalink to this heading">#</a></h2>
<p>See the <a class="reference internal" href="news/"><span class="doc std std-doc">news page</span></a> for a more complete list.</p>
<ul class="postlist-style-none postlist">
<li class="ablog-post"><p class="ablog-post-title">2023-09-06 : <a class="reference internal" href="news/2023-09-06-puja/">New PhD Student Puja Ghosh</a></p>
<p class="ablog-post-excerpt">Welcome to new PhD student Puja Ghosh!</p>
</li>
<li class="ablog-post"><p class="ablog-post-title">2023-07-31 : <a class="reference internal" href="news/2023-07-31-tdssp23/">Professor Brown teaching TD</a></p>
<p class="ablog-post-excerpt">Professor Brown is co-teaching Active Learning in Computer Science and leading CS Thinking and learning for the Talent Development Summer Success Program.</p>
<li class="ablog-post"><p class="ablog-post-title">2024-03-04 : <a class="reference internal" href="news/2024-03-04-mc-wids/">Dr. Brown gave a keynote at Middlebury College Women in Data Science conference</a></p>
<p class="ablog-post-excerpt"><strong>title</strong> Data Science Skills in Unexpected Places</p>
<p class="ablog-post-excerpt"><strong>abstract</strong> Data science is a highly interdisciplinary pursuit, combining computer science and statistics with domain expertise to make sense of data. This means as data scientists we must work closely with domain experts or develop enough domain expertise of our own for each project. In this talk, I will share the story behind a few data science projects I have done: how high school social studies helped me develop a learning PTSD diagnosis, undergraduate advanced writing helps me measure understanding of fairness in AI, and how student leadership experiences help me design tools for data scientists to build better models.</p>
</li>
<li class="ablog-post"><p class="ablog-post-title">2022-10-28 : <a class="reference internal" href="news/2022-10-28-surbhi-phd/">Surbhi Rathore will be the lab’s first PhD Student</a></p>
<p class="ablog-post-excerpt">Surbhi will stay at URI for a PhD, beginning in January 2023 after finishing her MS this semester.</p>
<li class="ablog-post"><p class="ablog-post-title">2024-01-23 : <a class="reference internal" href="news/2024-01-23-ugsp24/">Welcome to new undergraduates Lani, Noah, Trevor, and Rohan</a></p>
<p class="ablog-post-excerpt">Lani will be working on understanding how problem formulation is/not described in current
ML research.</p>
<p class="ablog-post-excerpt">Trevor and Noah will be joining Brendan to work on internal tooling for the lab.</p>
</li>
<li class="ablog-post"><p class="ablog-post-title">2022-06-27 : <a class="reference internal" href="news/2022-06-27-kdd_eai/">Paper Accepted to 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence</a></p>
<p class="ablog-post-excerpt">Dr. Brown and Surbhi Rathore’s paper “Information Theoretic Framework For Evaluation of Task Level Fairness” was accepted to the 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence! The paper will be presented at the EAI-KDD22 Workshop.</p>
<li class="ablog-post"><p class="ablog-post-title">2024-01-18 : <a class="reference internal" href="news/2024-01-18-aisummit/">Dr Brown presented on What is AI at the Academic Summit for URI Faculty</a></p></li>
<li class="ablog-post"><p class="ablog-post-title">2023-09-10 : <a class="reference internal" href="news/2023-09-10-ugfa23/">Welcome to new Undergraduate Researchers Kyle and Brendan</a></p>
<p class="ablog-post-excerpt">Kyle will be working on applying ML to Antimicrobial Peptide (AMP) design.</p>
<p class="ablog-post-excerpt">Brendan will be working on softare improvements to internal tools used in the lab.</p>
</li>
<li class="ablog-post"><p class="ablog-post-title">2022-06-10 : <a class="reference internal" href="news/2022-06-10-surbhi-proposal/">Surbhi Rathore has passed her MS Thesis Proposal</a></p>
<p class="ablog-post-excerpt">Her thesis is derived from our Task Fairness Project and focuses on feature selection.</p>
<li class="ablog-post"><p class="ablog-post-title">2023-09-06 : <a class="reference internal" href="news/2023-09-06-puja/">New PhD Student Puja Ghosh</a></p>
<p class="ablog-post-excerpt">Welcome to new PhD student Puja Ghosh!</p>
</li>
</ul>
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