https://harvardanalytics.org/insights daily 0.75 2023-08-27 https://harvardanalytics.org/insights/imf-team-jzzlj monthly 0.5 2020-09-02 https://harvardanalytics.org/insights/demography-of-covid-19-m4e8g monthly 0.5 2020-08-26 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613622-29OEZPNIHSWYWE9ECDEE/pcexplained.png Case Team Insights - Demographic Risk Factors of COVID-19 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613626-EHKUDL32LX9A31EUC6P0/pcaloadings.png Case Team Insights - Demographic Risk Factors of COVID-19 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613633-KU6HPHR6TUB2R26QQZDQ/pcregressions_nolog.png Case Team Insights - Demographic Risk Factors of COVID-19 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613636-O2LP375UL28V5ESKX35J/pcregressions_pc1-4.png Case Team Insights - Demographic Risk Factors of COVID-19 Top Row: Incidence PC1, PC2, PC3, PC4 Bottom Row: Death Rate PC1, PC2, PC3, PC4 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613639-CT0DLXVNP8MOX4X4HWVP/pcregressions_pc17-18.png Case Team Insights - Demographic Risk Factors of COVID-19 Top Row: Incidence PC17, PC18 Bottom Row: Death Rate PC17, PC18 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613642-KNYYNBBBKUFXJ8T0S4CA/fsincidence.png Case Team Insights - Demographic Risk Factors of COVID-19 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613645-DKDDM51XRNKZQ1OE84JK/fsdeathrate.png Case Team Insights - Demographic Risk Factors of COVID-19 https://harvardanalytics.org/insights/sustainability-covid-2zkck monthly 0.5 2020-08-23 https://harvardanalytics.org/insights/oecd-team-tf76p monthly 0.5 2020-08-19 https://harvardanalytics.org/insights/human-rights-first-sl8zg monthly 0.5 2020-08-19 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613668-2GPP38ICTKR1BQ2TJ2WL/Screen+Shot+2020-08-13+at+6.27.13+PM.png Case Team Insights - Detained in Danger: Human Rights First Team Examines COVID-19 Inside ICE Facilities https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613671-DM64148MEESPE05W59SE/Screen+Shot+2020-08-13+at+5.44.32+PM.png Case Team Insights - Detained in Danger: Human Rights First Team Examines COVID-19 Inside ICE Facilities https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613679-9HK8SUSB573TS9HK0WYL/Screen+Shot+2020-08-13+at+5.50.39+PM.png Case Team Insights - Detained in Danger: Human Rights First Team Examines COVID-19 Inside ICE Facilities - Zooming in on California: By hovering your mouse over the Otay Mesa Detention Center, you can see the facility’s name. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613682-DTGI4YFN94ARYH8OS1JT/Screen+Shot+2020-08-13+at+5.59.15+PM.png Case Team Insights - Detained in Danger: Human Rights First Team Examines COVID-19 Inside ICE Facilities - By clicking a specific facility on the scroll-down menu, you can see a baseball-card-style tab displaying information about the specific center’s case count. https://harvardanalytics.org/insights/education-trust-team-visualizes-michigans-digital-divide-amp-student-access-to-virtual-instruction-zccx7 monthly 0.5 2020-08-05 https://harvardanalytics.org/insights/city-of-denver-doti-hs7wz monthly 0.5 2020-08-08 https://harvardanalytics.org/insights/cyber-fauci-deep-reinforcement-learning-to-optimize-covid-19-public-health-policy-a8e2x monthly 0.5 2020-08-05 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613598-9DQD5M1B3T96OYE1HH1F/Screen+Shot+2020-08-05+at+5.45.21+PM.png Case Team Insights - Cyber-Fauci: Deep Reinforcement Learning to Optimize COVID-19 Public Health Policy https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613601-4PGTVJ81B3NBP30H2Q02/fig1a.png Case Team Insights - Cyber-Fauci: Deep Reinforcement Learning to Optimize COVID-19 Public Health Policy - Figure 1a: Agents learn to optimize behavior to maximize reward over the course of 500 trials of training. Figure 1a: Agents learn to optimize behavior to maximize reward over the course of 500 trials of training. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613604-Q4IK7XBTOYG8ZCCCIPFJ/fig1b.png Case Team Insights - Cyber-Fauci: Deep Reinforcement Learning to Optimize COVID-19 Public Health Policy - Figure 1b: Agents learn how to “flatten the curve”. A sample timecourse of the number of infected individuals is plotted, with a color gradient of blue to red from earlier to later on in training. By the end of training, agents learn to adapt policies to prevent sharp spikes in infections early in the epidemic. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613607-C6WVRGN3GDUHN9OCXVII/fig2.png Case Team Insights - Cyber-Fauci: Deep Reinforcement Learning to Optimize COVID-19 Public Health Policy Figure 2: Trained agent behavior on a single epidemic. Agent employs harsh social distancing in the height of the epidemic from days 5-30, and then intermittent control later in accordance with testing results. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613610-L92S8SD5PZ8FCEIPXQ22/Screen+Shot+2020-07-26+at+8.41.37+PM.png Case Team Insights - Cyber-Fauci: Deep Reinforcement Learning to Optimize COVID-19 Public Health Policy - Figure 3: Increased testing increases agent efficacy but seems to asymptote at around 5% of the population per day. a) 20 tests per 2000 people per day, b) 100 tests per 2000 people per day, c) 500 tests per 2000 people per day Figure 3: Increased testing increases agent efficacy but seems to asymptote at around 5% of the population per day. a) 20 tests per 2000 people per day, b) 100 tests per 2000 people per day, c) 500 tests per 2000 people per day https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613613-E438DTGY88QSKB0OKIM9/Screen+Shot+2020-07-26+at+8.42.34+PM.png Case Team Insights - Cyber-Fauci: Deep Reinforcement Learning to Optimize COVID-19 Public Health Policy - Figure 4: Modifying the reward function to increase the positive value of increased social interactions leads to less aggressive social distancing policy implementation. a) Reward per interaction: 0.1 b) Reward per interaction: 0.5 https://harvardanalytics.org/insights/unicef-global-team-analyzes-youtube-reddit-facebook-nyt-amp-twitter-data-gnlkz monthly 0.5 2020-08-05 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613488-AA2QMST9FQWV8JUKM92U/Screen+Shot+2020-07-18+at+11.01.55+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613494-XID4ET6PLVXBA7ETKZ3G/Screen+Shot+2020-07-18+at+11.01.47+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613501-JYNLSWI8UHNAD6JZ6I3U/Screen+Shot+2020-07-18+at+11.01.39+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613481-MZJVVHGQS7BND8KO0SL1/Screen+Shot+2020-07-18+at+11.05.00+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613536-YNZHWA1LT21SDIYK7UDE/Screen+Shot+2020-07-18+at+9.07.54+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613542-LFTCKXT36R1T8ZIIEM0H/Screen+Shot+2020-07-18+at+9.12.16+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613550-WCGWZ1VKQIXBG30GI4K5/Screen+Shot+2020-07-18+at+9.11.27+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613562-C89KKZ1DCG8N447NF2L9/Screen+Shot+2020-07-18+at+9.10.07+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613567-9YR2GCNRUBRLYVMEHAJ6/Screen+Shot+2020-07-18+at+9.09.24+AM.png Case Team Insights - UNICEF Global Team Analyzes YouTube, Reddit, Facebook, NYT, & Twitter Data https://harvardanalytics.org/insights/cambridge-local-first-team-develops-interface-amp-visualizations-to-assist-local-businesses-mpyyj monthly 0.5 2020-08-05 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613410-S6GKPHRUZ5UC8CT1UXEM/googleanalyticscfl.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613437-UM5FLNPSVAMP71AOZP4B/Screen+Shot+2020-06-18+at+4.18.22+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613391-IGGQ1P7LYJK88484IML5/Screen+Shot+2020-06-18+at+2.24.07+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613398-TUDDIYZ0AB07Q12V7WQU/Screen+Shot+2020-06-18+at+4.20.03+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613415-MSIA45FPJNBP5T8OL5GM/Screen+Shot+2020-06-18+at+2.20.17+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613432-Y3B73IWK96J0OR1T8B1L/Screen+Shot+2020-06-18+at+4.19.52+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613426-CAZBA2H0QG85C30YR8WC/Screen+Shot+2020-06-18+at+2.25.26+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613403-5KJQO28QJWMQWZ0QT731/Screen+Shot+2020-06-18+at+2.25.10+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104613459-2WH18FICZDJA6E47KR2R/Screen+Shot+2020-06-18+at+4.00.48+PM.png Case Team Insights - Cambridge Local First Team Assists Local Businesses Through Data-Driven Analysis - The group used Excel to build a heat map showing Massachusetts’ statewide participation frequency relative to other parts of the country. The team also grouped the participants by professional title (e.g. Business Owners, CEOs). Generally, project 3 helped CLF visualize the states (e.g. MA, CA) with the greatest number of participants. https://harvardanalytics.org/insights/who-case-team-ne8c6 monthly 0.5 2020-08-05 https://harvardanalytics.org/insights/category/COVID-19 monthly 0.5 https://harvardanalytics.org/insights/category/Think+Tank monthly 0.5 https://harvardanalytics.org/insights/tag/COVID-19 monthly 0.5 https://harvardanalytics.org/team-f24 daily 0.75 2025-02-18 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/75cdf450-ac73-48cc-9aef-1e793cb1412e/Headshot_2+-+Mohan+Hathi.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/25551927-cab7-4e4d-aeac-4e9ace3fbff2/20240428-606A4491+-+Joseph+Oronto-Pratt.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/3da2db0b-68ca-43cd-9a79-13630a19cae8/20240428-606A4335.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/dbf0b3b8-eb2f-4bc6-ad66-c5eb8ba7feef/20240428-606A4574.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/61fefc32-f9b3-4aff-92bc-3d96f38c023d/20240428-606A5850.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/9a292324-4052-480e-ab30-182aaeef75aa/20240428-606A6123+-+Theo+Datta.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/ed72300a-e421-4a3f-aaa5-389ebcd48dbf/hdag_doe_headshot+-+Jade+Nair.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/f6b1b3d6-5f72-42e2-b4a3-f8265e732253/20240428-606A4727+-+Perce+Thaveesittikullarp.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/52744b7c-85b0-4145-8702-c1d7e7636560/20240428-606A3988.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/d700d2cc-a6e5-4b76-b9e9-41619d7eee58/20240428-606A4608.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/328c5dfd-9e75-46d0-9598-0529ef47b081/20240428-606A4170+-+Anmay+Gupta.jpg https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/0e16fe48-1fe8-49fe-bade-615c6110826a/20240428-606A4348+%281%29.jpg https://harvardanalytics.org/blm-resources daily 0.75 2023-08-27 https://harvardanalytics.org/fall-2022-team daily 0.75 2023-08-27 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104509922-4QLLTMEXVTUB5BHNHMYD/kayla+huang+headshot+-+Kayla+Huang.png Fall 2022 Team - Kayla Huang Chief Executive Officer Kayla is a junior in Eliot House studying Computer Science and Government. She is interested in the application of technology (specifically machine learning and data analysis) in public policy, government, and social impact initiatives. In her free time, she also enjoys dancing, time-boxing, running, and bullet journaling. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104509944-BTLECRID2KTMLC9UGS25/fallpic+-+Catherine+Huang.jpg Fall 2022 Team - Catherine Huang Chief Operations Officer Catherine is a junior in Lowell House studying Computer Science and Statistics. Catherine’s interests include trustworthy and explainable machine learning, natural language processing, differential privacy, and AI for social good. In her free time, she enjoys playing piano, dancing, playing card games, painting, and going on long walks. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104509962-V40KGTU7OYCQNKNKZXCM/91EBE3A4-95AF-4F53-8AB9-46315FF82765_1_201_a+-+Rachna+Gupta.png Fall 2022 Team - Rachna Gupta Chief Financial Officer, Director of Consulting Rachna is a sophomore in Quincy House studying Computer Science. She is interested in applying data science tools and machine learning technology to interesting applications in a variety of fields. In her free time, she likes to play pool, eat good food, and watch sci-fi shows! https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104509992-560YYBR785PXUZTJPAF9/hdag_board_124+-+Chelsea+Baker.jpg Fall 2022 Team - Chelsea Baker Chief Strategy Officer, Director of Education Chelsea is a junior in Mather House studying economics and computer science. She is interested in leveraging machine learning to model social interaction and dynamics. In her free time, Chelsea enjoys crossword puzzles, watching reality TV shows, and long walks along the river. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510031-4OMNWZ2HQMSFYBJM1SGM/headshot_Ahmad_2022+-+Ahmad+Abdel-Azim.jpg Fall 2022 Team - Ahmad Abdel-Azim Chief Consulting Officer Scott Mahon Chief Operating Officer https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510058-7ZX2SMT4RHCUYT6EQB92/IMG_3237+-+Soham+Bose.jpg Fall 2022 Team - Soham Bose Chief Consulting Officer Soham is a junior in Adams house studying CS and Statistics. Being from Southern California, Soham misses the sunny weather and beaches, but at the same time is a huge fan of the snow in Boston. He's interested in blockchain, machine learning and the universality of its applications to different fields. In his free time, Soham enjoys playing basketball, going on long drives, eating good food, and playing poker. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510077-UQCS6SRBGWX6G2UAZEKA/hdag_board_177.jpg Fall 2022 Team - Sam Jones Director of Consulting https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510112-BPI52Y4DYJI9S3B12GU0/cropped+-+Jay+Pratap.jpg Fall 2022 Team - Jay Pratap Director of Consulting Jay is a sophomore at Harvard, concentrating in Statistics + Chemical & Physical Biology. He has years of experience using a wide range of tools such as computer vision, nonlinear programming, machine learning, bioinformatics, and 3D prototyping to tackle pressing biomedical problems. Currently, he is working on quantifying human gut health using high-dimensional metagenomics data (MGH), reconstructing 3D models of distal radius fractures to improve surgical outcomes (MGH), and leading development and clinical testing of a hand-held medical device to diagnose corneal damage using deep learning (GAMI). https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510147-0750EOF06BHIW7RSQNPE/hdag_board_30_Original+-+Doris+Yang.jpg Fall 2022 Team - Doris Yang Director of Consulting Doris is a sophomore in Quincy House studying Statistics on the Bioinformatics and Computational Biology track. She is interested in the intersection of computation and medicine. In true Oregonian fashion, Doris enjoys hiking and skiing as well as card making in her free time. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510177-1I7N81XPYDOC52OHANH3/IMG_0303.jpg Fall 2022 Team - Tina Gong Director of Design Tobias Keene, D.D.S. Hailing from Richmond, Virginia, Dr. Tobias Keene brings a bit of unabashed Southern hospitality to all his patients. He moved to Washington, D.C. over thirty years ago as a freshman at Ivy College. Right after graduation, he attended World University’s School of Dentistry. Before opening Keene Dental in 1994, he worked for free clinics and some of the finest practices in the District. He is part of the 123 Dental Association and stays up-to-date on the latest dental discoveries. When not striving to keep his patients happy and healthy, he’s enjoys hiking with his family in Rock Creek Park. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510210-Y505V263F1Y6ECO50ZUZ/TU2G53H1P-U032652LWQN-22e4fcd87de5-512.png Fall 2022 Team - Lindsay Blocker Director of Diversity, Equity, & Inclusion https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510236-ADQYKDQEKFJWQPYM4671/IMG_1689+-+Yao+Yu.PNG Fall 2022 Team - Yao Yu Director of Engagement Kevin is a sophomore in Adams house studying Computer Science with a secondary in Molecular and Cellular Biology. He is excited to see how sustainable infrastructure and human-centered design can bring new life into tech. You can find him wrapped up in the latest Ocean Vuong novel, song lyric analyses, or warm blankets. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104510266-9NIUZZDPLQQVVZY6PAAW/DSC06618.JPG Fall 2022 Team - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://harvardanalytics.org/spring-2023-team daily 0.75 2023-08-27 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104515905-QNUHI59I6JDHA3CQUAFJ/hdag_board_124+-+Chelsea+Baker.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104515926-C6K7AMU04TZVOTRLL5UQ/91EBE3A4-95AF-4F53-8AB9-46315FF82765_1_201_a+-+Rachna+Gupta.png Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104515959-YASXS9I6NBAJM0HPJVL0/IMG_0303.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104515988-X2EQW74G6WBL0SRGM4Q1/headshot_Ahmad_2022+-+Ahmad+Abdel-Azim.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516012-7TIOH52QCKGFQHSCB5G3/IMG-0259+-+Andrew+Li.JPG Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516040-D0DST86JPX8E25ZKXP5W/hdag_board_177.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516085-ZZXA5SQM3E7VF6PX8LOM/IMG_2961-2.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516110-01VESUPFWVY0FZW91KWI/jonah_photo+-+Jonah+Brenner.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516127-26A6SLY3CCJRHZHZGQMK/Screen+Shot+2023-01-11+at+9.54.51+AM+-+Jacob+Buehler.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516160-VFIOVY55L89LRNR8WHDT/TU2G53H1P-U033H9U0MC5-b57694a0ca9a-512.png Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516188-Q56ZQ4SZLATO87FL97ME/DSC07023+-+Andy+Kim.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516204-OTMP8DORL7SS2MT5Q2QV/IMG_1689+-+Yao+Yu.PNG Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516225-ZLQ7Z3PY1NSYH46EAENP/IMG_8494+-+Sanjna+Kedia.jpg Spring 2023 Team https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104516238-NGJX3JJTGZ8OME5NKJVO/DSC06618.JPG Spring 2023 Team - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://harvardanalytics.org/lending-club daily 0.75 2023-08-27 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104521910-ZKVNM2ZF2HYC22HN192A/Report-Models-WITH-RACE_134_0.png Lending Club (Copy) Using different models include kNN, logistic, random forest, and Neural Network to investigate the expected return value. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104521950-5BY4GXZXG81U355RL8VK/master_EDA_v4_56_0.png Lending Club (Copy) Interest rate and specific financial ratio vary across different groups. https://harvardanalytics.org/team-pre2020fall daily 0.75 2023-08-27 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104524890-2RE5I8G7OE2NZXZUXCUU/Screen+Shot+2020-08-20+at+1.31.50+AM.png Team (pre-2020 Fall) https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104524917-I42SNJZI0S2J9D45C6ML/Screen+Shot+2020-08-03+at+9.53.12+PM+-+Jerry+Huang.png Team (pre-2020 Fall) - Jerry Huang Chief Executive Officer Jerry Huang is a junior in Leverett House joint concentrating in Computer Science and Statistics with a secondary in Economics. He is a data science aficionado and founded HDAG with other board members in January 2020. He also likes long-distance bikepacking, cooking, and guitar playing. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104524938-760APSQYDXZ4C7UTXG55/%E9%99%88%E8%8A%8A%E6%B3%93.JPG Team (pre-2020 Fall) - Karen Chan Chief Marketing Officer Tobias Keene, D.D.S. Hailing from Richmond, Virginia, Dr. Tobias Keene brings a bit of unabashed Southern hospitality to all his patients. He moved to Washington, D.C. over thirty years ago as a freshman at Ivy College. Right after graduation, he attended World University’s School of Dentistry. Before opening Keene Dental in 1994, he worked for free clinics and some of the finest practices in the District. He is part of the 123 Dental Association and stays up-to-date on the latest dental discoveries. When not striving to keep his patients happy and healthy, he’s enjoys hiking with his family in Rock Creek Park. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104524952-SX5FSLDIIO1KHD6KIFMW/IMG_0062.JPG Team (pre-2020 Fall) - Scott Mahon Chief Operating Officer Scott is a junior in Leverett House studying Applied Math with a focus in Government and a secondary in Economics. Scott has a variety of academic interests including data science, consulting, and law. In his free time, he also enjoys following sports and playing the saxophone and ukulele. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104524967-SWE99A4BO63UMJ7RXRB6/Foto+profili+-+Fabio+Pruneri.JPG Team (pre-2020 Fall) - Fabio Pruneri Chief Technology Officer Fabio is a junior concentrating in Computer Science. He’s most interested in applications of statistical methods to the financial industry. In his free time, he loves playing piano and watching weird movies. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104524993-4B3MDTHL7WTYVT91QZ7Y/FullSizeRender%2B4.jpg Team (pre-2020 Fall) - Elizabeth Ling Chief Design Officer Scott Mahon Chief Operating Officer https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104525025-56FZ5GXRVHKYO7LIF2J6/IMG_4319-1+2.JPG Team (pre-2020 Fall) - Kelsey Wu Chief Strategy Officer Kelsey is a sophomore studying Government & Data Science, interested in leveraging data analytics to drive social impact. Outside of HDAG, you can probably find her singing with the Veritones or trying various noodles. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104525050-00P5XFYTR3WB0VTNIOUC/Headshot+Square+-+Carina+Peng.jpeg Team (pre-2020 Fall) - Carina Peng Chief Financial Officer Carina is a sophomore from Chicago currently on a gap year to work on COVID-19 related data work. Her quarantine favorites have been annoying her three-year old sister, FaceTiming friends, and snacking on roasted chickpeas. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104525067-IZZXHLF1OJSFLOF38WQR/Ben_Chiu+-+Ben+Chiu.jpg Team (pre-2020 Fall) - Ben Chiu Director of Business Development Ben is a sophomore in Quincy studying Statistics and Data Science — particularly their application to politics. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104525084-X31GNFEPCNEUIIW4IBX7/square.JPG Team (pre-2020 Fall) - Austin Li Director of Members’ Affairs Austin is a sophomore in Eliot House studying Physics & Mathematics. During quarantine, you can find Austin driving around Chicago, binging old Netflix shows, or playing volleyball and frisbee at the park. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104525099-6U8PJ7D60HBUIBVWOSHM/daniel.jpg Team (pre-2020 Fall) - Daniel Cho Engagement Coordinator Daniel is a junior in Quincy House studying Statistics with a secondary in Economics. In his free time, he likes to work out, play poker, and go to Yume. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104525117-NPDESTR3ZAETE2D8X9O1/Minjue+Wu+Headshot.jpeg Team (pre-2020 Fall) - Minjue Wu Engagement Coordinator Minjue Wu is a rising junior in Adams House studying History of Science and Medicine with a secondary in Computer science. She is passionate about computational approaches to policy strategy & healthcare problems, and enjoys combining qualitative & quantitative approaches to find human-driven solutions. When she is not conducting bioengineering research or writing, she can be found hopping clumsily in her local ice rink and hiking. https://harvardanalytics.org/spring-2022-team daily 0.75 2023-08-27 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531305-IMKW00KDDZ29SD37P01H/6D84C5E8-2EFC-43DD-9944-0E71EBE5A915.jpeg Spring 2022 Team - Scott Mahon Chief Executive Officer Scott is a senior in Leverett House studying Applied Math with a focus in Government and a secondary in Economics. Scott has a variety of academic interests including data science, consulting, and law. In his free time, he also enjoys following sports and playing the saxophone and ukulele. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531326-H29MUXBCBHEV4TQXLTEA/Huang_Kayla_Harvard.jpg Spring 2022 Team - Kayla Huang Chief Operations Officer Kayla is a sophomore in Eliot House studying Computer Science and Government. She is interested in the application of technology (specifically machine learning and data analysis) in public policy and social impact initiatives. In her free time, she also enjoys dancing, reading, running, and bullet journaling. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531353-K6A46RNVWR9QLKL492ED/TU2G53H1P-U01ARFPCJN6-dccd54de4cef-512.png Spring 2022 Team - Sharon Tang Chief Financial Officer Sharon is a sophomore in Adams House studying Economics with a secondary in Government. Sharon has a variety of academic interests including law, international relations, and data science. In her free time, she also enjoys baking, skateboarding, and thrifting. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531371-TVWCWEBIG1C7M8NQBN9X/image+%281%29.png Spring 2022 Team - Sofiya Lysenko Chief Strategy Officer Sofiya is a sophomore in Pforzheimer House studying Mechanical Engineering. She joined HDAG as an Analyst in her freshman fall semester, led a team as a Case Team Lead in freshman spring, and is CSO in the current semester. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531388-TW8MD8SYOMNBEN637091/IMG_3038+copy.jpg Spring 2022 Team - Jeffrey Xu Chief Marketing Officer Tobias Keene, D.D.S. Hailing from Richmond, Virginia, Dr. Tobias Keene brings a bit of unabashed Southern hospitality to all his patients. He moved to Washington, D.C. over thirty years ago as a freshman at Ivy College. Right after graduation, he attended World University’s School of Dentistry. Before opening Keene Dental in 1994, he worked for free clinics and some of the finest practices in the District. He is part of the 123 Dental Association and stays up-to-date on the latest dental discoveries. When not striving to keep his patients happy and healthy, he’s enjoys hiking with his family in Rock Creek Park. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531404-YRAP6J9SAP7FEEYTIQ3Z/hdag_pfp.jpg Spring 2022 Team - Richard Zhu Chief Consulting Officer Scott Mahon Chief Operating Officer https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531432-OZVTHTEITAZWRW0D4A4R/image+%282%29.png Spring 2022 Team - Soham Bose Chief Consulting Officer Soham is a sophomore in Adams house studying CS and Statistics. Being from Southern California, Soham misses the sunny weather and beaches but at the same time is a huge fan of the snow in Boston. He's interested in machine learning and the universality of its applications to different fields. In his free time, Soham enjoys playing basketball, going on long drives, eating good food, and playing poker. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531460-HIROVWKO7Q3O72XVALG1/IMG_0789+%282%29.jpg Spring 2022 Team - Kevin Tan Director of Engagement Kevin is a sophomore in Adams house studying Computer Science with a secondary in Molecular and Cellular Biology. He is excited to see how sustainable infrastructure and human-centered design can bring new life into tech. You can find him wrapped up in the latest Ocean Vuong novel, song lyric analyses, or warm blankets. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104531479-1383TO5R27IPHUOQJHBD/DSC06618.JPG Spring 2022 Team - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://harvardanalytics.org/project/predicting-market-volatility-with-trump-tweet daily 0.75 2023-08-27 https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104534533-NBII6BGUJ20NW2KFYHF3/unnamed-5.png Trump Tweet Volatility At first, most of the tweets are from an Android and then there is a switch to predominantly iPhone with a mix of Twitter Web Client and then eventually Twitter Media Studio. 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Districts of note: Downtown Crossing has a high occurrence of all types of crime except for death related ones. This would make sense given the it is one of the busiest parts of the city. Lower Roxbury seem to have the highest occurrence of all types of crime including death. Again death related crimes differentiates itself as its occurrences are fairly somewhat contained in specific stretches of neighborhoods. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104573698-W7XZWLYTKT17INQGYK6F/unnamed-2.png Past Projects https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104573719-2INFPR4PPW7B5QYZG64Q/unnamed-5.png Past Projects At first, most of the tweets are from an Android and then there is a switch to predominantly iPhone with a mix of Twitter Web Client and then eventually Twitter Media Studio. The Twitter Media Studio and Web Client tweets are likely to be staffers since these platforms, especially the former, are geared towards press/media teams. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104573730-3GW9KDRREBW9UIGPOZHZ/unnamed-4.png Past Projects The basic Dow variables (Open, High, Low, Close) tell us only about the strength of the US economy. As the US economy keeps growing, the general trend of Dow variables is just to rise. On the other hand, the daily range of the Dow (Max - Min) is the essentially the daily volatility, which is probably why the Dow daily range and VIX Open are highly correlated. https://images.squarespace-cdn.com/content/v1/64eab96b25930e2bb5e639ff/1693104573739-82A1ES1ZL1B7BWFVTSQH/unnamed-3.png Past Projects The most frequent tweets by Trump mention country, and people, but also include his opponents like Democrat, China, Mexico. 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