The lab will develop research, teaching expertise, knowledge dissemination and outreach efforts to diverse audiences. WiDS Philadelphia @ Penn is an independent event that is organized by The DDD invites all post-doctoral fellows in the School of Arts & Sciences who are developing or using data science methods to apply to be a Data Science Fellow. Benjamin Keys, Rowan Family Foundation Professor; Professor of Real Estate; Professor of Finance In addition to the IDEAS initiative, Penn is also growing its existing data science ecosystem with the construction of Amy Gutmann Hall. Prof. Emilio Parrado, Department of Sociology, will be using data science methods to organize and explore data from the Executive Office for Immigration Review (EOIR). Exequiel (Zeke) Hernandez, Associate Professor of Management. This research explores how firms can improve their hiring decisionsby employing state-of-the-art machine learning methods that use observable characteristics of applicants to predict their probability of staying in the job and theirperformance. Morris Arboretum, 100 E. Northwestern Ave. This discipline has allowed me to explore multiple areas of interests and multiple different job opportunities in industries such as finance, technology and healthcare.
Philadelphia, PA 19104, The Data Science Program has a great network connecting individuals to different data science opportunities on campus. If theres news at Penn, youll find it here. This project seeks to characterize and advertise a new statistical method for estimating the elasticity of taxable income in the presence of optimization frictions. As a collaboration between computer scientists, psychologists, and medical researchers, we are shedding new light on the psychosocial processes that affect health and happiness and Read more, When a data analysis result is published or shared, how do we know whether it is trustworthy? Recent and upcoming seminars and conferences. Using unique access to an archive of administrative records on civilian complaints against police, this multi-wave experimental study seeks to assess how Philadelphia residents understand and perceive the current civilian complaint process, and systematically evaluate the impact of transparency initiatives on civic engagement and public trust in police. Saerom (Ronnie) Lee, Assistant Professor of Management. Raghu Iyengar, Miers-Busch, W1885 Professor; Professor of Marketing; Faculty Director, Wharton Customer Analytics Business, & Law, Photo, Video, & Social Through our labs and projects, Analytics at Wharton incubates new ventures that support cutting-edge research and education in diverse industries and academic fields. Media. Eugene Katsevich, Assistant Professor of Statistics. Led by the School of Engineering and Applied Science, the IDEAS initiative builds upon the steadily gathering momentum of its data-centric research. The format for this evaluation will be a Capstone Course (BEPP 401) entitled, Federal and State Management of the Pandemic: Money, Messages, Vaccinations, and State Policies. Data Science has recently become a very desirable and marketable skill to have. Proposals are reviewed on a bi-annual basis. Daniel Taylor, Associate Professor of Accounting. As an engineer and computer scientist at Penn, I got the opportunity to apply my computer science and data science knowledge to these many fields through performing research at a neuroscience lab and working on a customer analytics project for URBN. 
Aiming to become the worlds foremost source of research and teaching expertise on the application of data analytics to issues related to insider trading, financial irregularities, and corporate transparency. The major areas of research currently pursued by our faculty include: For information on principal research activities by faculty and details on research publications see our research papers and publications. But the challenges that lie ahead for data scientists and engineers, from developing algorithms that dont exacerbate biases to ensuring privacy protections, are equally complex and, in some instances, require entirely new ways of thinking. 
My projects would consist of both information extraction either from a website or a database, as well as using machine learning and statistical techniques to make useful predictions. T. Bradford Bitterly, Assistant Professor of Management, HKUST Business School Michele W. Berger June 1, 2022. While modern data analytics are incredibly effective at extracting valuable insight from text data (e.g., product reviews, nurses notes, etc. Yihao Yuan, Doctoral Candidate, Marketing. winberry Can nature-inspired designs affect cognition and mood? Jing Cai, Assistant Professor at University of Maryland. The project uses textasdata methodologies including Named Entity Recognition, Structural Topic Modeling, and sentiment analysis to quantify and analyze coverage of international issues in black communities in the US, particularly surrounding the creation of the League of Nations as well as in the formation of and development in the United Nations. Baird Howland, PhD Student, Annenberg School of Communication, Computational Social Science Lab at Penn, This past summer, I worked at a real-estate company building financial models that predicted prices of mortgage back securities. The Music Hall at World Cafe Live, 3025 Walnut St. As part of its $750 million investment in science, engineering, and medicine, the University has committed to supporting the future needs of this field. radhakrishnan ravi penn computational science named institute director engineering medium webpage research email The Warren Center for Network and Data Sciences has been a major catalyst for this type of work, generating foundational research on ethical algorithms and data privacy, as well as collaborations that have drawn in faculty from the Wharton School, Law School, Perelman School of Medicine, and beyond. In 2022 the Data Driven Discovery initiative launched its initial Data Science for Social Good (DSSG) projects. Immigration cases now represent close to 52 percent of all federal criminal prosecutions making prosecutions for illegal entry, illegal reentry, and other immigration violations, the major focus of federal criminal enforcement efforts. The Laurel Hill Mansion welcomes Women for Greater Philadelphia to present an outdoor concert by the Florion Trio, featuring Nancy Bean (violin), Lloyd Smith (cello), and Allen Krantz (guitar). The research team will use UK Biobank data with 500,000 with psychiatric screening questionnaires, genomic data, and other markers, including 40,000 MRI scans, to explore this question. To do this, IDEAS aims to recruit new faculty across three research areas: artificial intelligence (AI) to transform scientific discovery, trustworthy AI for autonomous systems, and understanding connections between the human brain and AI. The conference is created to bring together academics working to understand the role of data and analytics in shaping managerial practice and the determinants of firm performance. Michael R. Roberts, William H. Lawrence Professor of Finance This allowed me to get a variety of perspectives and techniques to apply to new data science challenges. Interested in learning more about the SRDA minor? This project will develop research and teaching expertise on the application of Big Data and predictive analytics to issues related to insider trading, financial irregularities, and fraud. This past year, I was able to go to the final round of the Citadel Data Challenge partnering with other students in the program. View links to various research centers that departmental faculty participate in. A primary challenge with working with such data is that 50% of devices are tracked for less than 35% of the days. With the support of Analytics at Wharton, I have been able to create a novel and entirely different type of finance course Data Science for Finance that will empower our students with cutting edge financial decision-making skills. Data science to me seemed to be a perfect combination of computer science and statistics, of both collecting relevant data and conducting meaningful analysis. This research project conducts an empirical exploration of the relative costs and benefits of using machine learning based tools on video job application data during the hiring process. Natalie Carlson, Assistant Professor of Management. In addition to being a partner in the IDEAS initiative, the School of Arts & Sciences has launched The Data Driven Discovery initiative (DDD), a central pillar of its strategic plan. Steven O. Kimbrough, Professor of Operations, Information and Decisions. In research done using rats, Penn Nursings Heath Schmidt and colleagues found that males that engaged in voluntary nicotine use had offspring more likely to do so, too. Lindsey Cameron, Assistant Professor of Management. Arthur van Benthem, Associate Professor of Business, Economics and Public Policy. This project seeks to build a map of nudge or choice architecture interventions, enabling practitioners and academics alike to navigate the theoretical space easily and effectively. The Laurel Hill Mansion welcomes Women for Greater Philadelphia to present an outdoor concert by the Florion Trio, featuring Nancy Bean (violin), Lloyd Smith (cello), and Allen Krantz (guitar). The goal of this project is to study our understanding of the COVID-19 pandemic the remarkably varied conceptions of what is happening, why it is happening, and what should be done in response, with a rare combination of quantitative rigor and qualitative depth. Matthew Bloomfield, Assistant Professor of Accounting To help make sense of these large, complex datasets, the field of data science has grown, providing methodologies, tools, and perspectives across a wide range of academic disciplines. This project uses data collection for a student-led evaluation of the health and economic consequences of the Covid-19 pandemic and the effectiveness of national and state-wide policy responses to contain the coronavirus and to mitigate its health and economic consequences. Prof. Hamed Hassani, Department of Electrical and Systems Engineering and Department of Math, is working to validate large-scale (several TBs per year)GPS mobility datasets so that they can construct realistic epidemic networks from sparse and incomplete data. Conference. In what ways has the Data Science Program helped you to reach your goals? World Cafe Live welcomes Anees, an independent singer-rapper from the Washington, D.C., area.
These include Pennsylvania papers such as the Christian Recorder (the oldest continually published black paper in the US); the Philadelphia Independent (which ceased publication in 1971); the Philadelphia Tribune; and the Pittsburgh Courier (defunct in 1966), as well as prominent midAtlantic papers such as the Baltimore Afro-American, the Washington Informer, and the Washington Sun. Humanities, & SocialSciences, Education, Aviv Nevo, George A. Weiss and Lydia Bravo Weiss University Professor; Professor of Marketing; Professor of Economics preciado Other than those activities, I enjoy exploring new restaurants in the Philadelphia area. This project seeks to conduct original academic research to better understand how real-world firms use A/B testing software and how consumers respond to online experiments.
Astronomy professor Bhuvnesh Jain, who will co-direct the DDD initiative with Greg Ridgeway, says that the growth of research on complex datasets in a way that cuts across a diverse set of fields, from humanities to the sciences, has helped spur campus-wide efforts like IDEAS. The petabyte size of the datasets requires substantial computation time, relying on Python on the new Pangeo platform for Big Data geoscience on the Cloud. Registration is free to all members of the Penn Community. Judd B. Kessler, Associate Professor of Business Economics and Public Policy. Business, & Law, Photo, Video, & Social This project is an inductive two-part multi-sourced qualitative study that focuses on the practices and community around the developers that write bots, scripts and automated programs that are designed to override algorithmic controls and how workers use these technologies to resist and counter algorithmic control. What was your background before joining the Data Science (DATS) Program? 
In collaboration with the Tellfinder Alliance for Global Counter-Human Trafficking, this project will leverage unstructured, massive deep web data from leading adult-services websites using a novel machine learning framework to construct the first global network view of sex trafficking supply chains. 