Work with thought leaders and academic experts in data analysis

Companies can benefit from working with academic researchers in data analysis in several ways. Firstly, they can gain valuable insights from the data collected and analyzed by these experts. This can help companies make data-driven decisions and optimize their business strategies. Academic researchers can also help companies identify patterns and trends in data that may not be immediately apparent. Additionally, they can assist in developing predictive models and algorithms to forecast future outcomes. Moreover, academic researchers can provide expertise in data visualization, helping companies present complex data in a clear and understandable manner. Lastly, collaborating with academic researchers can enhance a company's reputation and credibility in the field of data analysis.

Researchers on NotedSource with backgrounds in data analysis include Yseult Héjja-Brichard, Ph.D., Ammon Posey, Melinda Haughey, Ariel Kalil, Eric S. Kim, Ph.D., Robert Ostergard, Sarah E. James, Ph.D., Hendrik Wolff, Bianca Trinkenreich, Dmitry Dukhovskoy, Brian Beckage, John Sokol, Ernesto Lowy, and andrea bazzani.

Eric S. Kim, Ph.D.

Assistant Professor of Psychology, University of British Columbia
Research Interests (33)
health psychology
social epidemiology
purpose & meaning
And 28 more
Dr. Kim's program of research aims to identify, understand, and intervene upon the dimensions of psychological well-being (sense of purpose in life, optimism) that reduce the risk of age-related conditions. <br> Around this topic, he has given invited lectures at Universities (Harvard, U. of Penn, MIT, Columbia U.), corporations (UnitedHealth Care, IDEO, AARP, Samsung), and he’s also been invited to speak at and join the working groups of national- and international-think-tanks (United Nations, OECD, Aspen Ideas Festival, Chan Zuckerberg Initiative, The Task Force for Global Health, World Government Summit, National Academy of Sciences). He’s also been recognized as one of Forbe’s 30 Under 30 in Healthcare, recipient of the American Journal of Epidemiology's Paper of the Year Award, the American Psychological Association Division 20 (Aging) Early Career Achievement Award, and an Association for Psychological Science (APS) Rising Star. His insights have been featured in the: NY Times, Atlantic, BBC News, NPR, Washington Post. His research has been cited by policy statements/guidelines formulated by the: United Nations, National Academy of Sciences, American Heart Association, the U.S. Surgeon General. Population aging is one of the most important social trends of the 21st century. In both Canada and the U.S., the # of adults aged ≥65 is projected to increase by 45%-55% in the next 15 years. As societies grapple with the rising tide of chronic conditions, healthcare costs, and long-term care costs, it is imperative to develop a science that informs a more comprehensive approach to healthy aging. Dr. Kim’s overarching goal is to substantially help improve the psychological well-being and physical health of our rapidly growing population. In pursuit of this goal, his program of research revolves around 4 interwoven questions. He studies: 1) Several dimensions of psychological well-being (sense of purpose in life, optimism) and how they relate to health outcomes. 2) The behavioral, biological, and neural mechanisms underlying the association between psychological well-being and health. 3) How an individual’s psychological well-being interacts with the surrounding environment to influence behavioral and physical health outcomes; for example, at the meso-level (dyadic dynamics in couples, neighborhood contexts, altruism/volunteering) and the macro-level (social cohesion, social and racial disparities). 4) And he partners with non-profit/healthcare companies to conduct translational research that test scalable interventions.

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Hendrik Wolff

Professor, London School of Economics
Research Interests (17)
Economics and Econometrics
Management, Monitoring, Policy and Law
Nature and Landscape Conservation
Sociology and Political Science
And 12 more
Hendrik Wolff is Professor of Environmental Economics at The London School of Economics and Political Science (LSE). * Hendrik's main research is in environmental economics, working at the intersection of transportation, air pollution, energy and health. This includes the economic causes and consequences of air pollution; the ”value of time;” the impact of energy conservation policies on electricity consumption; cost benefit analysis of the clean air act and its effects on health; the interactions between climate, local prices, wages and “quality of life; and the economics of Daylight Saving Time. He also developed new econometric estimators for large supply and demand systems that are used in agriculture and energy. He has conducted research projects in Ecuador, Germany, Mexico, Australia, Bangladesh, Ghana, England, Chile and the United States. Hendrik is a Faculty Affiliate of the UW Center for Studies in Demography and Ecology, an IZA Research Fellow, and a CESIfo Research Network Affiliate. He was a visiting professor at Resources for the Future, as well as at LMU Munich, University of Cologne and at IZA, Bonn. * Hendrik’s work has impact on both academia and policy. He won the 2009 Ralph C d’Arge and Allen V. Kneese Award for Outstanding Publication, which is awarded annually for the Best Paper in Environmental and Resource Economics. His research has led to important policy changes by the United Nations and the World Bank on the measurement of indices (the Human Development Index (HDI) and the Ease of Doing Business Index). His work is discussed on television (e.g., ABC News) and international media (e.g., The Economist, The Wall Street Journal). He has successfully obtained external funding from organizations such as the NSF, as well as CSSS and the Royalty Research Fund. In addition, he has been the chair for PhD students and Honors students, many of whom have won multiple awards. The job placements of Hendrik’s students are detailed in his CV. He has also consulted for the U.S. Department of Energy and for the President of the World Bank on important policy issues related to his research. * Hendrik is the director of []( a research lab that connects academic researchers, government, and industry in the urban mobility space

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Example data analysis projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on data analysis?

Customer Segmentation

An academic researcher in data analysis can help a company segment its customer base by analyzing demographic, behavioral, and transactional data. This can enable the company to tailor its marketing strategies and offerings to different customer segments, increasing customer satisfaction and loyalty.

Demand Forecasting

By analyzing historical sales data and external factors such as economic indicators and market trends, an academic researcher can help a company forecast future demand for its products or services. This can assist the company in optimizing its production and inventory management, reducing costs and improving customer satisfaction.

Fraud Detection

Academic researchers in data analysis can develop algorithms and models to detect fraudulent activities in financial transactions. By analyzing patterns and anomalies in data, they can help companies identify and prevent fraudulent behavior, protecting the company's financial assets and reputation.

Optimization of Supply Chain

An academic researcher can analyze supply chain data to identify bottlenecks, inefficiencies, and areas for improvement. By optimizing the supply chain, companies can reduce costs, improve delivery times, and enhance overall operational efficiency.

Social Media Analytics

Academic researchers can analyze social media data to gain insights into customer sentiment, preferences, and behavior. This can help companies understand their target audience better and develop more effective marketing campaigns and customer engagement strategies.