deploy: 2f03635

_sources/join.md.txt

@@ -19,7 +19,7 @@ Undergraduates will almost always spend at least one semester on one of these be
 
 :::{card} Robust ML evaluation Developer tools
 
-**building and maintaining Python packages that facilitate other research in the lab**
+**building and maintaining Python packages that facilitate other research in the lab including as AI agent tools**
 
 Example tasks:
 - add unit tests
@@ -78,7 +78,23 @@ Build skills in data science, front end, social impacts of computing and interdi
 Prereq (one of the following):
 - CSC/DSP310 (preferred)
 - other significant Python work and Plotly familiarity
+:::
+
+:::{card} Data Empowerment for Election workers
+
+**collaborate with Industrial Enginers to help election workers learn data science skills by designing a short workshop**
+
+Example Tasks:
+- clean example datasets for the lesson
+- examine candidate  data sets to help decide what examples to use in the lesson
+- design practice problems with example datasets
+- write explanations for necessary code structures
+- write and test setup instructions
+
 
+Prereq:
+- CSC/DSP310 or STA/DSP305
+- experience as a TA (preferred)
 :::
 
 :::{card} Documentation

_sources/news/2024-10-30-sff.md.txt

@@ -6,4 +6,4 @@ date: 2024-10-30
 
 We received funding from the [SFF Fairness Track](https://survivalandflourishing.fund/sff-2024-recommendations) to fund work 
 developing a benchmark for fair data-driven decision making with LLMs. 
-We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging inn thse tasks across various levels of AI agency. 
+We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency. 

_sources/projects.md.txt

@@ -49,6 +49,19 @@ In this project, we are using bias models to evalute the effectiveness of differ
 
 +++
 
+:::
+
+
+:::{grid-item-card}
+
+
+LLMs and Fair Data Driven Decision-making
+^^^
+
+We are buliding  a benchmark to evaluate benchmarks on making non-discriminatory decisions from data.  This will include evaluating direct decisions, assisting on fair ML tasks, and agentically training fair models. 
+
++++
+
 :::
 ::::
 

index.html

@@ -504,7 +504,7 @@ <h2>News<a class="headerlink" href="#news" title="Permalink to this heading">#</
 <li class="ablog-post"><p class="ablog-post-title">2024-10-30 : <a class="reference internal" href="news/2024-10-30-sff/">Funding from the Survival and Flourishing Fund</a></p>
 <p class="ablog-post-excerpt">We received funding from the <a class="reference external" href="https://survivalandflourishing.fund/sff-2024-recommendations">SFF Fairness Track</a> to fund work
 developing a benchmark for fair data-driven decision making with LLMs.
-We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging inn thse tasks across various levels of AI agency.</p>
+We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency.</p>
 </li>
 <li class="ablog-post"><p class="ablog-post-title">2024-10-08 : <a class="reference internal" href="news/2024-10-08-ddf/">Dr. Brown is speaking in the Digital Defense Fund fall seminar series</a></p>
 <p class="ablog-post-excerpt">She is co-leading a session on AI basics titled, “Unmasking AI: the Mysteries and Magic of Artificial Intelligence”.</p>

join/index.html

@@ -504,7 +504,7 @@ <h3>Current Open Projects<a class="headerlink" href="#current-open-projects" tit
 <div class="sd-card-body docutils">
 <div class="sd-card-title sd-font-weight-bold docutils">
 Robust ML evaluation Developer tools</div>
-<p class="sd-card-text"><strong>building and maintaining Python packages that facilitate other research in the lab</strong></p>
+<p class="sd-card-text"><strong>building and maintaining Python packages that facilitate other research in the lab including as AI agent tools</strong></p>
 <p class="sd-card-text">Example tasks:</p>
 <ul class="simple">
 <li><p class="sd-card-text">add unit tests</p></li>
@@ -573,6 +573,26 @@ <h3>Current Open Projects<a class="headerlink" href="#current-open-projects" tit
 <div class="sd-card sd-sphinx-override sd-mb-3 sd-shadow-sm docutils">
 <div class="sd-card-body docutils">
 <div class="sd-card-title sd-font-weight-bold docutils">
+Data Empowerment for Election workers</div>
+<p class="sd-card-text"><strong>collaborate with Industrial Enginers to help election workers learn data science skills by designing a short workshop</strong></p>
+<p class="sd-card-text">Example Tasks:</p>
+<ul class="simple">
+<li><p class="sd-card-text">clean example datasets for the lesson</p></li>
+<li><p class="sd-card-text">examine candidate  data sets to help decide what examples to use in the lesson</p></li>
+<li><p class="sd-card-text">design practice problems with example datasets</p></li>
+<li><p class="sd-card-text">write explanations for necessary code structures</p></li>
+<li><p class="sd-card-text">write and test setup instructions</p></li>
+</ul>
+<p class="sd-card-text">Prereq:</p>
+<ul class="simple">
+<li><p class="sd-card-text">CSC/DSP310 or STA/DSP305</p></li>
+<li><p class="sd-card-text">experience as a TA (preferred)</p></li>
+</ul>
+</div>
+</div>
+<div class="sd-card sd-sphinx-override sd-mb-3 sd-shadow-sm docutils">
+<div class="sd-card-body docutils">
+<div class="sd-card-title sd-font-weight-bold docutils">
 Documentation</div>
 <p class="sd-card-text">A low code opportunity is to work on documentation for any of the code tools we develop in the lab. Reading code and understanding it is a good way to learn more, while contributing
 written <em>English</em> instead of in a programming language.</p>

news/2024-10-30-sff/index.html

@@ -570,7 +570,7 @@ <h3>
 <h1>Funding from the Survival and Flourishing Fund<a class="headerlink" href="#funding-from-the-survival-and-flourishing-fund" title="Permalink to this heading">#</a></h1>
 <p>We received funding from the <a class="reference external" href="https://survivalandflourishing.fund/sff-2024-recommendations">SFF Fairness Track</a> to fund work
 developing a benchmark for fair data-driven decision making with LLMs.
-We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging inn thse tasks across various levels of AI agency.</p>
+We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency.</p>
 </div>
 
 <div class="section">

news/2024/index.html

@@ -563,7 +563,7 @@ <h2 class="ablog-post-title">
     <div class="ablog-post-excerpt docutils container">
 <p>We received funding from the <a class="reference external" href="https://survivalandflourishing.fund/sff-2024-recommendations">SFF Fairness Track</a> to fund work
 developing a benchmark for fair data-driven decision making with LLMs.
-We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging inn thse tasks across various levels of AI agency.</p>
+We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency.</p>
 </div>
 
     <p class="ablog-post-expand"><a href="../2024-10-30-sff/"><em>Read more ...</em></a></p>

news/atom.xml

@@ -2,7 +2,7 @@
 <feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
   <id>https://ml4sts.com</id>
   <title>  The Machine Learning for Socio-Technical Systems Lab at University of Rhode Island</title>
-  <updated>2024-11-01T00:43:36.493802+00:00</updated>
+  <updated>2024-11-22T23:25:41.728453+00:00</updated>
   <link href="https://ml4sts.com"/>
   <link href="https://ml4sts.com/news/atom.xml" rel="self"/>
   <generator uri="https://ablog.readthedocs.org/" version="0.10.33.post1">ABlog</generator>
@@ -62,13 +62,13 @@
     <content type="html">&lt;div class="ablog-post-excerpt docutils container"&gt;
 &lt;p&gt;We received funding from the &lt;a class="reference external" href="https://survivalandflourishing.fund/sff-2024-recommendations"&gt;SFF Fairness Track&lt;/a&gt; to fund work
 developing a benchmark for fair data-driven decision making with LLMs.
-We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging inn thse tasks across various levels of AI agency.&lt;/p&gt;
+We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency.&lt;/p&gt;
 &lt;/div&gt;
 </content>
     <link href="https://ml4sts.com/news/2024-10-30-sff/"/>
     <summary>We received funding from the SFF Fairness Track to fund work
 developing a benchmark for fair data-driven decision making with LLMs.
-We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging inn thse tasks across various levels of AI agency.</summary>
+We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency.</summary>
     <published>2024-10-30T00:00:00+00:00</published>
   </entry>
 </feed>

news/index.html

@@ -554,7 +554,7 @@ <h2 class="ablog-post-title">
     <div class="ablog-post-excerpt docutils container">
 <p>We received funding from the <a class="reference external" href="https://survivalandflourishing.fund/sff-2024-recommendations">SFF Fairness Track</a> to fund work
 developing a benchmark for fair data-driven decision making with LLMs.
-We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging inn thse tasks across various levels of AI agency.</p>
+We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency.</p>
 </div>
 
     <p class="ablog-post-expand"><a href="2024-10-30-sff/"><em>Read more ...</em></a></p>

projects/index.html

@@ -568,6 +568,18 @@ <h2>Active Projects<a class="headerlink" href="#active-projects" title="Permalin
 </div>
 </div>
 </div>
+<div class="sd-col sd-d-flex-row docutils">
+<div class="sd-card sd-sphinx-override sd-w-100 sd-shadow-sm docutils">
+<div class="sd-card-header docutils">
+<p class="sd-card-text">LLMs and Fair Data Driven Decision-making</p>
+</div>
+<div class="sd-card-body docutils">
+<p class="sd-card-text">We are buliding  a benchmark to evaluate benchmarks on making non-discriminatory decisions from data.  This will include evaluating direct decisions, assisting on fair ML tasks, and agentically training fair models.</p>
+</div>
+<div class="sd-card-footer docutils">
+</div>
+</div>
+</div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
 
 ## Past Projects