Learning Collider
@learningcollider.bsky.social
1.7K followers 710 following 100 posts
Building AI that Expands Human Opportunity Research lab founded and led by UT-Austin economist Peter Bergman. peterbergman.bsky.social LearningCollider.org
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learningcollider.bsky.social
The many, multiplying challenges imposed by the WH on K-12 education shouldn't define the quality of edtech. We can build better, rigorously tested digital tools that improve learning outcomes. With Bibi Groot of Eedi, @peterbergman.bsky.social explains how: the-learning-agency.com/the-cutting-...
Building Smarter Ed Tech Through Real-World Research - The Learning Agency
Partnerships between academics and ed tech are crucial to navigating the current uncertainty in education policy and industry.
the-learning-agency.com
Reposted by Learning Collider
startingupgood.bsky.social
Advice from @learningcollider.bsky.social, @waltonfamilyfdn.bsky.social, Valhalla Foundation & Renaissance Philanthropy at @sxswedu.com 2025 for #socent & #startups about how to use #AI, measure progress, & take risks to succeed.

📖 Learn More: medium.com/startingupgo...

#SXSW25 #SocialImpact
Breaking Barriers: Smart Funding Fuels Innovation in Education
How Startups Use AI, Measure Progress, & Take Risks to Succeed
medium.com
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jillbarshay.bsky.social
I was just informed that the Department of Education has taken down all its Civil Rights data. If you need it, alternative sites are now hosting it for the public. See links in this thread. ocrdata.ed.gov/notfound
Civil Rights Data | U.S. Department of Education
Understand trends in student opportunity, security, and diversity.
ocrdata.ed.gov
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Reposted by Learning Collider
hilwething.bsky.social
DATA RELEASE WHEN DATA FEELS SCARCE!
Check out data.epi.org -a data repository with 78,000+ series on topics like employment, wages, poverty, and inequality. You can get many measures by gender, race and state!

I've been working with our @epi.org team to build this and am so proud of the result
Topics - EPI Library
The EPI Data Library offers comprehensive, up-to-date labor data from Economic Policy Institute analysis, covering wages, inequality, and economic trends across demographics.
data.epi.org
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jenniferdoleac.bsky.social
NIJ and other federal agencies have paused research funding, but @arnoldventures.bsky.social has not! Check out our open RFPs. We're looking for causal studies across a range of issues, including crime/criminal justice.

www.arnoldventures.org/grantees
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marisakabas.bsky.social
NEW — OMB temporarily pauses all agency grants and loans programs.

Per copy of memo: "The use of Federal resources to advance Marxist equity, transgenderism, and green new deal social engineering policies is a waste of taxpayer dollars that does not improve the day-to-day lives of those we serve."
SUBJECT:
Temporary Pause of Agency Grant, Loan, and Other Financial Assistance Programs
'The American people elected Donald J. Trump to be President of the United States and gave him a mandate to increase the impact of every federal taxpayer dollar. In Fiscal Year 2024. of the nearly $10 trillion that the Federal Government spent, more than $3 trillion was Federal financial assistance, such as grants and loans. Career and political appointees in the Executive Branch have a duty to align Federal spending and action with the will of the American people as expressed through Presidential priorities. Financial assistance should be dedicated to advancing Administration priorities, focusing taxpayer dollars to advance a stronger and safer America, eliminating the financial burden of inflation for citizens, unleashing American energy and manufacturing, ending wokeness" and the weaponization of government, promoting efficiency in government, and Making America Healthy Again. The use of Federal resources to advance Marxist equity, transgenderism, and green new deal social engineering policies is a waste of taxpayer dollars that does not improve the day-to-day lives of those we serve.
This memorandum requires Federal agencies to identify and review all Federal financial assistance programs and supporting activities consistent with the President's policies and requirements. For example, during the initial days of his Administration, President Donald J Trump issued a series of executive orders to protect the American people and safeguard valuable taxpayer resources, including Protecting the American People Against Invasion (Jan. 20, 2025).
Reevaluating and Realigning United States Foreign Aid (Jan 20, 2025), Putting America First in International Environmental Agreements (Jan. 20, 2025). Unleashing American Energy (Jan. 20.
2025). Ending Radical and Wasteful Government DEI Programs and Preferencing (Jan. 20. ent these orders, each agency must complete a comprehensive analysis of all jal assistance programs to identify programs, projects, and activities that any of the President's executive orders. In the interian, to the extent applicable law, Federal agencies must temporarily pause all activities related disbursement of all Federal financial assistance, and other relevant agency nay be implicated by the executive orders, including, but not limited to, financial
surice tot foreign nongovernmental organizations, DEL woke gender ideology, and the
pause will provide the Administration time to review agency programs of the funding for those programs consistent with the law and the he temporary pause will become effective on January 28, 2025, at 5:00
rehensive analysis. Federal agencies must immediately deadlines for assistance programs arising while the les must report this information to OMB along with an directs Federal agencies to pause all activities associated
conducting merit review panels
No later than Febrar
- 10. 2025, agencies shail submit to OMB detailed information on
any programs projects or activities subject to this pause. Each agency must pause. (i) issuance of disbursement of Federal funds under all open awards, and (il) other relevant
has reviewed provided guidance to your agency with respect to the information
act
recordin
grant and ptions allowing Federal agencies to issue new awards or take other case basis.
To the extent required by law, Federal agencies may continue nistrative actions. such as closeout of Federal awards (2 CFR 200.344), or expressly required by law
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aaronsojourner.org
Call for papers: Econ of Ed @nberpubs.bsky.social Spring Meeting at Stanford.

Submissions are welcome from researchers with and without NBER affiliations, from early career scholars, and from researchers from under-represented groups. #EconConf

www.nber.org/confsubmit/b...
Submission: Economics of Education Program Meeting, Page 1 of 2 - MyNBERNBER: National Bureau of Economic Research
www.nber.org
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peterbergman.bsky.social
Just had our data access rescinded for a projected using federal microdata to study and reduce disparate impact in housing markets.
Reposted by Learning Collider
peterbergman.bsky.social
Updated paper: A lot of work on the effects of tracking in education, which is a widespread practice globally. We show 1) algorithms can track students far more effectively than test scores 2) test scores discriminate 3) algorithmic placement has infinite MVPF static1.squarespace.com/static/60d0c...
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learningcollider.bsky.social
Always tough questions with this guy 😁

Top 20 definitely incudes 'Unwarranted Disparity in High-Stakes Decisions: Race Measurement and Policy Responses'

✒️ E. Jason Baron, Joseph J. Doyle, Jr., Natalia Emanuel, Peter Hull, & Joseph Ryan
instrumenthull.bsky.social
What's the best paper you read this year?
learningcollider.bsky.social
Incredible work, Noam, Moitshepi, Claire, and the entire Youth Impact squad!
learningcollider.bsky.social
What's happening under the hood at our lab? Take a look at today's email blast:
www.learningcollider.org/campaigns/vi...
#econ #sci #research #ds
Building Fair and Equitable AI Systems; Understanding and Reducing Discrimination in AI and Human Decision-Making; Using AI to Address Learner Variability; Creating Pathways to Economic Mobility
learningcollider.bsky.social
Bottom line: LLMs can be powerful tools for research with the necessary guardrails. But if those guardrails can't be placed, LLMs should not be used.

Double bottom line: applying these same guardrails for benchmarking analysis and building AI tools support more responsible, accurate models.
learningcollider.bsky.social
2️⃣ Researchers should only use open-source AI-models with transparent training data

3️⃣ Researchers must validate AI-generated outputs by comparing them to outputs from established methods on a small sample and appropriately correct for errors.
learningcollider.bsky.social
🧵 Our takeaways from Ludwig, @sendhil.bsky.social and Rambachan on the reliability and validity of LLMs in research:

1️⃣ LLMs should only be used if the training data does not overlap with the research data, preventing the model from "cheating"

#econ #sci #data #ai