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The 1 Thing That Child Therapists Say Harms Kids' Happiness The Most – Yahoo Life Singapore
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Machine Learning in Economics Summer Institute 2025 (MLESI25) – The University of Chicago Booth School of Business
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John Zich
We are excited to welcome this year’s cohort for the Machine Learning in Economics Summer Institute, which will be held in Chicago, August 7-13, 2025. Applications for the 2025 Institute can be found here.
Modeled after similar programs in behavioral economics, the Institute brings together leading researchers with advanced graduate students to build community and push forward cutting-edge research ideas. Our organizers this year are Alex Imas (Chicago Booth), Jens Ludwig (Chicago Harris), Sanjog Misra (Chicago Booth), Sendhil Mullainathan (MIT), Ashesh Rambachan (MIT), Lindsey Raymond (Microsoft Research) and Jann Spiess (Stanford GSB).
1. to introduce researchers to the new methods and data used in machine learning (e.g., supervised and unsupervised learning algorithms, machine vision, text analysis), and how they relate to longstanding questions around causal inference, experimental design, fairness and bias, and econometric theory; and
2. to build intuitions for how these methods can open up new questions for economists in fields like macroeconomics, behavioral science, health, development, public, labor, or applied microeconomics generally.
Format:
MLESI 2025 will be held in-person on the University of Chicago campus. This year, the program for participating students will consist of three parts: the first part, held August 7–10, will consist of lectures, panel discussions, tutorials, office hours, and social activities. The second part, held August 11-12, will have students attend the two-day Machine Learning in Economics Summer Conference (MLESC) with talks on current research topics. The final day, August 13, will debrief and wrap up the program.
Participation in the full program will be by application, and limited to around 30 Ph.D. students and post-docs who have completed their Ph.D. program in 2023 or later. Candidates in economics and related disciplines (e.g., computer science, statistics, etc.) who have a strong interest and advanced training in formal economics are eligible. Participants are expected to attend the August 7–13 program full-time and in person.
Applications can be submitted here. Application deadline on April 11, 2025.
Further details about the Machine Learning in Economics Summer Conference can be found on the MLESC website here. A call for papers will be circulated separately.
Please contact Lauren Doan if you have any questions.
Professor of Behavioral Science and Economics and Vasilou Faculty Scholar
Edwin A. and Betty L. Bergman Distinguished Service Professor, Harris School of Public Policy
Charles H. Kellstadt Distinguished Service Professor of Marketing and Applied AI
Distinguished Fellow
Assistant Professor in Economics, MIT
Postdoctoral Fellow in Economics and Computation at Microsoft Research
Associate Professor of Operations, Information & Technology, Stanford Graduate School of Business
How much does it cost to attend?
There is no registration fee or cost to attend MLESI25.
Will there be student accommodations and meals be provided?
Student accommodations will be offered at no charge on the UChicago campus. Breakfast and lunch will be served during the program each day. Dinners will be served during group activities most evenings.
Participants will be staying in university housing and might share a room with other participants.
Will student travel be funded?
We expect students to seek their own funding for travel. If they are unable to find appropriate funding, they may request financial aid by emailing us. Please include demonstrated need and approximate budget for requested funds.
Will I be able to participate remotely?
No, the Summer Institute this year will be fully in-person, and we look forward to engaging with you on campus.
What have previous schedules looked like in the past?
Below are the previous schedules.
Machine Learning in Economics Summer Institute 2024 Schedule
Machine Learning in Economics Summer Institute 2023 Schedule
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Health hazard: Why it’s so easy to fall for fake information about fitness, well-being – Firstpost
In today’s digital world, people routinely turn to the internet for health or medical information. In addition to actively searching online, they often come across health-related information on social media or receive it through emails or messages from family or friends.
It can be tempting to share such messages with loved ones – often with the best of intentions.
As a global health communication scholar studying the effects of media on health and development, I explore artistic and creative ways to make health information more engaging and accessible, empowering people to make informed decisions.
Although there is a fire hose of health-related content online, not all of it is factual. In fact, much of it is inaccurate or misleading, raising a serious health communication problem: Fake health information – whether shared unknowingly and innocently, or deliberately to mislead or cause harm – can be far more captivating than accurate information.
This makes it difficult for people to know which sources to trust and which content is worthy of sharing.
Fake health information can take many forms. For example, it may be misleading content that distorts facts to frame an issue or individual in a certain context. Or it may be based on false connections, where headlines, visuals or captions don’t align with the content. Despite this variation, such content often shares a few common characteristics that make it seem believable and more shareable than facts.
For one thing, fake health information often appears to be true because it mixes a grain of truth with misleading claims.
For example, early in the COVID-19 pandemic, false rumours suggested that drinking ethanol or bleach could protect people from the virus. While ethanol or bleach can indeed kill viruses on surfaces such as countertops, it is extremely dangerous when it comes into contact with skin or gets inside the body.
Another marker of fake health information is that it presents ideas that are simply too good to be true. There is something appealingly counterintuitive in certain types of fake health information that can make people feel they have access to valuable or exclusive knowledge that others may not know. For example, a claim such as “ chocolate helps you lose weight” can be especially appealing because it offers a sense of permission to indulge and taps into a simple, feel-good solution to a complex problem. Such information often spreads faster because it sounds both surprising and hopeful, validating what some people want to believe.
Sensationalism also drives the spread of fake health information. For instance, when critics falsely claimed that Anthony Fauci, the director of the National Institute of Allergy and Infectious Diseases and the chief medical adviser to the president at the time, was responsible for the Covid-19 pandemic, it generated a lot of public attention.
In a study on vaccine hesitancy published in 2020, my colleagues and I found that controversial headlines in news reports that go viral before national vaccination campaigns can discourage parents from getting their children vaccinated. These headlines seem to reveal sensational and secret information that can falsely boost the message’s credibility.
The internet has created fertile ground for spreading fake health information. Professional-looking websites and social media posts with misleading headlines can lure people into clicking or quickly sharing, which drives more and more readers to the falsehood. People tend to share information they believe is relevant to them or their social circles.
In 2019, an article with the false headline “Ginger is 10,000x more effective at killing cancer than chemo” was shared more than 800,000 times on Facebook. The article contained several factors that make people feel an urgency to react and share without checking the facts: compelling visuals, emotional stories, misleading graphs, quotes from experts with omitted context and outdated content that is recirculated.
Visual cues like the logos of reputable organisations or photos of people wearing white medical coats add credibility to these posts. This kind of content is highly shareable, often reaching far more people than scientifically accurate studies that may lack eye-catching headlines or visuals, easy-to-understand words or dramatic storylines.
But sharing content without verifying it first has real-world consequences. For example, studies have found that Covid-19-related fake information reduces people’s trust in the government and in health care systems, making people less likely to use or seek out health services.
Unfounded claims about vaccine side effects have led to reduced vaccination rates globally, fuelling the return of dangerous diseases, including measles.
Social media misinformation, such as false claims about cinnamon being a treatment for cancer, has caused hospitalisations and even deaths. The spread of health misinformation has reduced cooperation with important prevention and treatment recommendations, prompting a growing need for medical professionals to receive proper training and develop skills to effectively debunk fake health information.
In today’s era of information overload in which anyone can create and share content, being able to distinguish between credible and misleading health information before sharing is more important than ever. Researchers and public health organisations have outlined several strategies to help people make better-informed decisions.
Whether health care consumers come across health information on social media, in an email or through a messaging app, here are three reliable ways to verify its accuracy and credibility before sharing:
Evaluate the source’s credibility. A quick way to assess a website’s trustworthiness is to check its “About Us” page. This section usually explains who is behind the content, their mission and their credentials. Also, search the name of the author. Do they have recognised expertise or affiliations with credible institutions? Reliable websites often have domains ending in .gov or .edu, indicating government or educational institutions. Finally, check the publication date. Information on the internet keeps circulating for years and may not be the most accurate or relevant in the present context.
If you’re still unsure, don’t share. If you’re still uncertain about the accuracy of a claim, it’s better to keep it to yourself. Forwarding unverified information can unintentionally contribute to the spread of misinformation and potentially cause harm, especially when it comes to health.
Questioning dubious claims and sharing only verified information not only protects against unsafe behaviors and panic, but it also helps curb the spread of fake health information. At a time when misinformation can spread faster than a virus, taking a moment to pause and fact-check can make a big difference.
Angshuman K. Kashyap, PhD candidate in Health Communication, University of Maryland
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Canada Post, union set to meet on Sunday as overtime ban stretches on – CTV News
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