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It collects identity and academic details, extracurricular activities, awards, planned study paths, and work preferences. It then guides applicants to explain how they began data science research, challenges faced, motivations, mentorship expectations, and their specific role and contributions in a submitted research project, including algorithms, evaluation, and results analysis.","Personal Statement Template\nPersonal Information\nName:\nPersonal/permanent email address:\nUniversity:\nCurrent education classification (Undergrad/Masters, 1st year, 2nd year, ..):\nCurrent major:\nCurrent minor:\nGPA in major:\nExpected graduation year:\nGender (optional):\nEthnicity (optional):\nList all extracurricular activities during your undergraduate or masters education:\nList all academic awards and honors:\nAre you considering enrolling in a PhD program (unsure / very much so / considering / definitely not):\nWould you like to work in industry after you finish your undergraduate/masters degree (unsure / very much so / considering / definitely not):\nHave you enrolled in/taken any graduate level courses?\nAre you the first person in your family to attend college?\nDo you have an immediate family member involved in research?\nDo you have other family members involved in research?\nDo you know adults (other than faculty at your college/university) who are involved in research?\nDo you have friends who are involved in research?\nAnswer to the following questions about your research:\nHow did you start data science research, and how did you join the presented research project in particular?\nDid you have difficulties in your pursuit of data science research and how did you overcome these?\nWhat excites you about your research area that would drive you to continue working on those problems after graduation?\nWhat is your expectation from participating in the KDD Undergraduate and Masters Consortium and receiving mentorship?\nDiscuss your specific role and contributions in the data science project presented in your submitted research paper.\nWrite a short summary (2-3 sentences) describing the data science project presented in the submitted research paper in a way that can be understood by a broad audience within data science.\nDiscuss whether project work was done as part of a team (not including your advisor) and/or independently.\nDiscuss your specific contributions to the submitted research project, including:\nDid you design or implement algorithms?\nDid you design or implement the evaluation protocol?\nDid you contribute to the analysis of results?\nDid you contribute any other specific ideas of the project?\nContact Information for Reference Letter Writer (at least 1, at most 2)\n1.\nName:\nUniversity:\nPosition:\nEmail:\n2.\nName:\nUniversity:\nPosition:\nEmail:","cbCaicpMt5WKTruO","https://ap.wps.com/l/cbCaicpMt5WKTruO","docx",11468,4,"English","en",105,"# Personal Information\n## Contact and Academic Background\n## Extracurriculars and Honors\n## Research Interest and Future Plans\n# Research Questions and Project Contributions\n## Entry into the Research Project\n## Challenges and Motivation\n## Expectations from the Consortium\n## Role in the Presented Data Science Project\n# Reference Letter Writer Information","[{\"question\":\"What personal details does the template request for the applicant?\",\"answer\":\"It asks for name, email, university, current education status, major and minor, GPA in major, expected graduation year, and optional items such as gender and ethnicity.\"},{\"question\":\"How does the template guide applicants to describe their research experience?\",\"answer\":\"It prompts applicants to explain how they started data science research and joined a specific project, outline difficulties and how they overcame them, and describe what motivates them to continue after graduation.\"},{\"question\":\"How should applicants describe their contributions to the research project?\",\"answer\":\"They should discuss their role and contributions, including whether they designed or implemented algorithms, created the evaluation protocol, contributed to results analysis, and added other specific project ideas. 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