Iman Yeckehzaare Email and Phone Number
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I remain dedicated to my career goal of being an information scientist with a focus on collective intelligence, cognitive and experimental psychology, and design-based research leveraging quantitative and qualitative analysis in the development of online learning/research communities.
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Postdoctoral Research AssociateMassachusetts Institute Of TechnologyCambridge, Ma, Us
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Postdoctoral Research AssociateMassachusetts Institute Of Technology Sep 2024 - PresentCambridge, Ma, UsI'm super excited to share that I joined MIT Center for Collective Intelligence Research.
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Head Of ResearchHonor Education, Et Al May 2022 - PresentSan Francisco, Ca, UsI'm super excited to share that I joined Honor Education as a researcher to conduct online controlled experiments on cool and innovative design features to improve students' online learning. -
Founder1Cademy Dec 2008 - Present1Cademy facilitates a large-scale collaboration of students and researchers from different schools to:1- Summarize:We summarize the gist of every valuable piece of knowledge on the Web into small chunks of knowledge that we call "nodes."2- Link:We identify and visualize the prerequisite knowledge "links" between nodes.3- Evaluate:We group-evaluate the nodes and links, through up/down-votes and comments.4- Improve:We collaboratively improve and up-date nodes and links through proposals and community approvals.https://1cademy.us/homehttps://www.youtube.com/channel/UCKBqMjvnUrxOhfbH1F1VIdQ -
Expertideas: Incentivizing Domain Experts To Contribute To WikipediaUniversity Of Michigan Mar 2014 - Dec 2023Ann Arbor, Michigan, UsCollaborators: Professor Yan Chen, Professor Rosta Farzan, Professor Robert Kraut, Iman Yeckehzaare, Ark Fangzhou ZhangThis study investigates the extent to which different incentives might motivate domain experts to contribute to Wikipedia by conducting randomized field experiments on Wikipedia. We explore the impact of social amplifier on the private benefit from contributing to the public good. When an expert edits a Wikipedia article relevant to her research, the private benefit is multiplied by the number of people who view that article. To measure the effect of the social amplifier, we introduce exogenous variations on the number of times the recommended Wikipedia articles have been viewed over the last 30 days. We are conducting a controlled field experiment by delivering different versions of an email message inviting researchers world-wide to contribute to Wikipedia. By studying participants' behavioral responses to various incentives using a 3×2×2 factorial design, this research investigates the incentives that might motivate scholars to contribute to Wikipedia.• developed crawlers to retrieve data from Google Scholar, Wikipedia, and RePEc.• developed a Wikipedia Bot to post comments on talk pages.• conducted usability testing and interviewed researchers about the study website.• developed an administrative web application using Django framework, including managing the subjects’ data, local time estimation, email tracking, incorporating the Wikipedia Bot. The crawlers working on multiple stations, gather the data and submit it to the administrative web application on AWS, which uses the data to conduct the study.• doing data analysis, and authoring my pre-candidacy paper about the field experiment. -
Real Or Bogus: Predicting Susceptibility To Phishing With Economic ExperimentsUniversity Of Michigan Nov 2015 - Dec 2016Ann Arbor, Michigan, UsCollaborators: Professor Yan Chen, Iman Yeckehzaare, Ark Fangzhou ZhangWe present a lab-in-the-field experiment to demonstrate how individual behavior in the lab predicts their ability to identify phishing attempts. Using the business and finance staff members from a large public university in the U.S., we find that participants who are intolerant of risk, more curious, and less trusting commit significantly more false positive errors in an information security quiz. We also replicate prior results on demographics, including age, gender, and education level. Our results suggest that behavioral characteristics such as risk attitude, curiosity, and trust can be used to predict individual ability to identify phishing interfaces.
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Research AssistantUniversity Of Michigan Sep 2013 - Dec 2013Ann Arbor, Michigan, UsResearching under supervision of Professor Charles Severance, contributing in development of an auto-grader service for CTools, the Learning Management System of the University of Michigan.
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Ui DeveloperUniversity Of Michigan Jun 2013 - Jun 2013Ann Arbor, Michigan, UsI worked with a research group under supervision of Professor Paul Resnick at the University of Michigan, School of Information. The project was about “Applying Behavioral Economics to Persistent Health Challenges”. Over this short period of time, I helped them to improve the User Interface of the project website. Working directly with Professor Resnick was a great opportunity for me to develop my research skills, and apply my experiences in a professional research project.
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Research AssistantUniversity Of Michigan Nov 2012 - Feb 2013Ann Arbor, Michigan, UsRumorlens: A system for analyzing the impact of rumors and corrections in social mediaAbstract: Some rumors spread quickly and widely through social media. Journalists write about them, both to help the public understand whether they are true, and to help the public understand how widely misinformation and corrections have spread, and how they did. We describe RumorLens, a suite of interactive tools that are designed to help journalists identify new rumors on Twitter and assess the audiences that rumor and correction tweets have reached. The tools make efficient use of human labor to assess whether a rumor’s content is interesting enough to warrant further exploration, to label tweets as spreading, correcting, or unrelated to the rumor, and to analyze the rumor visually. Behind the scenes, automated learning and computation amplifies the effectiveness of that labor, making it feasible to engage journalists and the broader public to run a continuous rumor-monitoring service. My role: Studied Named Entity Recognizers and Wikifiers to extract entities from news articles, finding the most different articles from what the user has already read.
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Research AssistantIran University Of Science And Technology Jun 2009 - Jul 2011Tehran, Ir- Founder of IUST-One team in KDD CUP 2011 track1, developed novel User-based and Item-based Collaborative Filtering algorithms by the use of an innovative correlation coefficient factor and applying a cascade feed-forward neural network to merge the results.- Studied several state-of-the-art Chatbots, especially Alice, Eliza and Program Sharp, yielding a Persian AIML based chatbot by the use of CBR approaches.- Applied Collaborative Filtering techniques to Linkage Learning.- Researched on Recommender Systems and their applications in e-marketing. -
Undergraduate Teaching AssistantUniversity Of Science And Culture, Tehran, Iran Sep 2006 - Dec 2006London, GbI graded Programming Language Design and Implementation course, taught by Professor Ghassem Jaberipur.
Iman Yeckehzaare Skills
Iman Yeckehzaare Education Details
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University Of Michigan - School Of InformationInformation Science/Studies -
University Of Michigan - School Of InformationInformation Economics For Management (Iem)
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Iran University Of Science And TechnologyInformation Technology
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University Of Science And CultureComputer Engineering
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Kowsar High School
Frequently Asked Questions about Iman Yeckehzaare
What company does Iman Yeckehzaare work for?
Iman Yeckehzaare works for Massachusetts Institute Of Technology
What is Iman Yeckehzaare's role at the current company?
Iman Yeckehzaare's current role is Postdoctoral Research Associate.
What is Iman Yeckehzaare's email address?
Iman Yeckehzaare's email address is on****@****ich.edu
What is Iman Yeckehzaare's direct phone number?
Iman Yeckehzaare's direct phone number is +173455*****
What schools did Iman Yeckehzaare attend?
Iman Yeckehzaare attended University Of Michigan - School Of Information, University Of Michigan - School Of Information, Iran University Of Science And Technology, University Of Science And Culture, Kowsar High School.
What are some of Iman Yeckehzaare's interests?
Iman Yeckehzaare has interest in Persian Poetry, Social Services, Tai Chi Chen, Sport, Education, Literature, Memorized The Collected Works Of Hafez, Science And Technology, Biking And Ping Pong, Swimming.
What skills is Iman Yeckehzaare known for?
Iman Yeckehzaare has skills like Human Computer Interaction, Python, Html 5, Css, Machine Learning, Javascript, Php, Mysql, Contextual Inquiry, Xml, Java, Artificial Intelligence.
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