{"594060":{"#nid":"594060","#data":{"type":"news","title":"Student Interns Translate Data into Action for Atlanta","body":[{"value":"\u003Cp\u003EData Science for Social Good (DSSG) students and mentors concluded another year of solving problems for the City of Atlanta and beyond. The annual student showcase took place July 24th at Ponce City Market, with nearly 75 people in attendance including data scientists, local companies, nonprofits, agencies and organizations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This fourth summer of the program has been a huge success,\u0026rdquo; said Ellen Zegura, a professor in the College of Computing, and the one who began Atlanta\u0026rsquo;s DSSG program. She kicked off the final event, which shared innovative data-driven approaches and results for five projects in the areas of housing justice, food security, crowdsourced environmental monitoring, flood prediction, and building energy consumption.\u0026nbsp;\u003Ca href=\u0022http:\/\/ipat.gatech.edu\/news\/students-use-data-internship-solve-real-world-problems\u0022\u003EVideo interviews\u003C\/a\u003E of participants and \u003Ca href=\u0022https:\/\/flic.kr\/s\/aHskZgS8gy\u0022\u003Ean image gallery\u003C\/a\u003E of the event are available.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Atlanta Data Science for Social Good program is an intensive, ten-week paid internship experience that blends data science and technology design. Students are placed on multi-disciplinary teams and matched with a supervising professor to address real-world problems with partners in the City of Atlanta and local non-profit organizations.\u0026nbsp;DSSG student teams blend expertise on technical topics, public policy, social issues, and education for a truly interdisciplinary approach. Bistra Dilkina, a DSSG co-director said \u0026ldquo;DSSG connects the classroom with real problems of deep community relevance. We hope this will inspire them to pursue their technical education further, and to be engaged global citizens that use their education for societal impact.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe program addresses several emerging concerns simultaneously: finding innovative solutions that serve immediate needs, getting the experience necessary for developing the nation\u0026rsquo;s data science workforce, and helping students communicate effectively by working with actual clients and team members. \u0026ldquo;It is a unique opportunity to make a real impact in the Atlanta Community. Students get the ability to understand how to communicate data problems with organizations that are not coming at this with a high level of technical background,\u0026rdquo; said Co-Director Chris LeDantec.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe highly competitive internship selected 17 interns from around the country from a pool of over a hundred applicants with backgrounds in computer science, statistics, digital media, public policy, civil\u0026nbsp;engineering, industrial engineering and urban planning. This year, DSSG received sponsorship from the National Science Foundation and the South Big Data Innovation Hub at the program level.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring the first week, students participated in hands-on tutorials in data analytics, web stack development, spatial information, and geographic information systems. In the remaining weeks, students worked with government and nonprofit partners to design data-driven solutions. They also attended weekly seminars with invited speakers from academia and industry on technical topics and prominent examples of using data for good.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy working with real data and organizations, the students develop useful tools. \u0026ldquo;Some of these apps will be used by the actual agencies, so that means they\u0026rsquo;re really influencing people\u0026rsquo;s lives,\u0026rdquo; said South Big Data Hub Co-Executive Director Renata Rawlings-Goss.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThey also learn critical skills such as stakeholder engagement,\u0026nbsp;data acquisition and processing, data analysis and visualization, machine learning for predictive modeling, writing, and communicating results to nontechnical audiences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring the summer of 2017, students worked on projects targeting five social problems:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EFood for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EInterns: Miriam Chappelka, Jihwan Oh, Dorris Scott, Mizzani Walker-Holmes\u003Cbr \/\u003E\r\nGeorgia Tech Program Mentor: Carl DiSalvo, Associate Professor in the Ivan Allen College of Liberal Arts\u003Cbr \/\u003E\r\nCommunity Partner: Atlanta Community Food Bank\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA major tool in the fight against hunger is the Supplemental Nutrition Assistance Program (SNAP), commonly known as food stamps. Understanding the news cycles, geography and changing attitudes of the population toward SNAP is useful for shaping policy. Teams used data from census, voting records, news articles, Twitter and Facebook to categorize sentiments and conduct text mining. The team created three products: an InfoMap to view the geography and some correlates of SNAP-related attitudes, a voting records database to prepare for meetings with policymakers, and a Visualization of Sentiment Analysis to assess sentiment about SNAP during major events.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECycle Atlanta: Seeing Like a Bike\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EInterns: Javier Argota, Myeong Lee, Noel Mannariat, Erica Pantoja\u003Cbr \/\u003E\r\nGeorgia Tech Program Mentor: Chris LeDantec, Associate Professor in the Ivan Allen College of Liberal Arts\u003Cbr \/\u003E\r\nCommunity Partner: City of Atlanta\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENot all bikers feel comfortable cycling throughout Atlanta, especially during rush hour. The team designed multi-sensor boxes to generate data on factors such as traffic speed, traffic volume, percent of heavy vehicles, proximity to traffic, lane configurations, pavement conditions, and many others that account for riders\u0026rsquo; stress. Their analyses involved the creation of a Level of Traffic Stress (LTS) model and the use of two machine learning algorithms. The goal is to provide reliable data-driven evidence that helps policy makers refine cycling infrastructure and environmental conditions for cyclists of all comfort levels.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAtlanta Housing Justice: \u003C\/strong\u003E\u003Cstrong\u003EThe Anti-Displacement Tax Fund\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EInterns: Jeremy Auerbach, Hayley Barton, Takeria Blunt, Vishwamitra Chaganti, Bhavya Ghai\u003Cbr \/\u003E\r\nGeorgia Tech Program Mentors: Christopher Blackburn, Ph.D. Candidate in the Ivan Allen College of Liberal Arts; Amanda Meng, Research Associate in the College of Computing;\u0026nbsp;Ellen Zegura, Professor in the College of Computing\u003Cbr \/\u003E\r\nCommunity Partner: Atlanta Legal Aid Society\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUrban revitalization on Atlanta\u0026rsquo;s Westside, including construction of the Beltline and a new stadium, has caused increased property values and fears that residents will be displaced. An anti-displacement tax fund exists to offset the increase in property taxes for eligible residents. However, stakeholders need to understand program cost, and number of people impacted. This project determined the number of eligible homeowners using location, owner-occupancy, property liens data, and an income model based on home characteristics. It forecasted home appreciation and property tax increases, and created an interactive web app for community members to view eligibility and estimated property tax increases. The team\u0026rsquo;s projections show a higher cost and greater number of eligible households than those previously released, highlighting the value of data science techniques and community participation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBuilding Energy Analytics\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EInterns: Keyan Halperin, Lingzi Hong, Brendon Machado, and Ricardo Macias\u003Cbr \/\u003E\r\nGeorgia Tech Program Mentor: Bistra Dilkina, Assistant Professor in the College of Computing\u003Cbr \/\u003E\r\nCommunity Partner: Georgia Tech Facilities Management\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAll Georgia Tech buildings have sensors that assess how much energy is being used every 15 minutes over the past few years. Despite the ongoing data collection, it has largely remained unexamined. The team used the energy data from four buildings, along with local weather and building occupancy to model energy usage at Georgia Tech. They determined factors related to energy usage and predicted how it changes with related events. Using six models, they predicted energy usage, common denominators, and unique aspects of a particular building that accounted for the most energy consumption. For example, the number of classes was by far the most important predictor of energy consumption in all buildings. But temperature impacted the buildings differently. Future work can extend models throughout campus, and identify inefficient buildings for upgrades.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPredicting and Alleviating Road Flooding in Senegal\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EInterns: Keyan Halperin, Lingzi Hong, Brendon Machado, and Ricardo Macias\u003Cbr \/\u003E\r\nGeorgia Tech Program Mentor: Bistra Dilkina, Assistant Professor in the College of Computing at Georgia Tech\u003Cbr \/\u003E\r\nCommunity Partner: United Nations Global Pulse\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EClimate change has the potential to raise the risk of flood for coastal countries, impacting the living environment and threatening the success of crucial city development. The team created models to determine which populations or regions are most vulnerable to disruptions to movement caused by flooding, and which roads should be targeted for mitigation. First they modeled the flooding risk of each road segment based on historical weather and topographical data. They then modeled the volume of traffic of each road to quantify how necessary it is for accessibility between different parts of the country. Road importance was established by phone records that included when each tower location was used by a customer, traffic flow was assigned based on the data volume. Putting it all together, the team determined the consequences and mitigation strategies for traffic flows redirected due to flooded, inaccessible roads.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESeveral DSSG-ATL projects from previous years have received recognition:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/firebird.gatech.edu\/\u0022\u003EPredicting Atlanta\u0026rsquo;s Fire Risk\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/datasmart.ash.harvard.edu\/news\/article\/optimizing-atlantas-911-systems-with-data-science-509\u0022\u003EOptimizing Atlanta\u0026rsquo;s 911 System with Data Science\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/news.wabe.org\/post\/ga-tech-data-science-interns-develop-app-planting-trees\u0022\u003EPreserving the City of Trees with a Planting Visualization Tool\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/news.wabe.org\/post\/web-tool-help-resettle-ga-refugees-new-communities\u0022\u003EResettling Georgia\u0026rsquo;s Refugees in New Communities\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EDSSG-ATL is part of a broader community of Data Science for Social Good programs, including the original DSSG program organized by the University of Chicago, as well as the newer programs at the University of Washington, the University of Massachusetts Amherst, and most recently at the IBM T.J. Watson Research Center. Participants become part of an exciting network of students, mentors, professors and projects taking place around the United States. DSSG-ATL maintains online descriptions of its projects \u003Ca href=\u0022http:\/\/dssg-atl.io\/\u0022\u003Eon its website\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Data Science for Social Good Concludes its 2017 Program with Student Showcase"}],"field_summary":"","field_summary_sentence":[{"value":"Data Science for Social Good (DSSG) students and mentors showcased innovative projects at their July 24th event at Ponce City Market"}],"uid":"27343","created_gmt":"2017-08-04 12:22:03","changed_gmt":"2017-08-07 02:19:38","author":"Jennifer Salazar","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2017-08-04T00:00:00-04:00","iso_date":"2017-08-04T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"594061":{"id":"594061","type":"image","title":"Data Science for Social Good Atlanta 2017 Participants","body":null,"created":"1501850518","gmt_created":"2017-08-04 12:41:58","changed":"1501850518","gmt_changed":"2017-08-04 12:41:58","alt":"Data Science for Social Good Atlanta 2017 Participants","file":{"fid":"226424","name":"DSSG_grp_photo.jpg","image_path":"\/sites\/default\/files\/images\/DSSG_grp_photo.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/DSSG_grp_photo.jpg","mime":"image\/jpeg","size":1042586,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DSSG_grp_photo.jpg?itok=pghRAvHs"}}},"media_ids":["594061"],"groups":[{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"135","name":"Research"},{"id":"142","name":"City Planning, Transportation, and Urban Growth"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"151","name":"Policy, Social Sciences, and Liberal Arts"}],"keywords":[{"id":"116991","name":"DSSG"},{"id":"169007","name":"social good"},{"id":"92811","name":"data science"},{"id":"166890","name":"sustainability"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39501","name":"People and Technology"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":["jsalazar@gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}