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TwitterThis statistic shows the tuition at Harvard University's Graduate School of Arts and Sciences from the academic year 2008 to the academic year 2021. During the academic year 2020 to 2021, tuition for the Graduate School of Arts and Sciences was ****** U.S. dollars.
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Harvard tuition data since 1985, for both the undergraduate College and the graduate and professional schools.
This dataset consists of two files: tuition_graduate.csv and undergraduate_package.csv, which contain the tuition and fees data for the graduate schools and undergraduate College, respectively.
tuition_graduate.csv contains the following fields:
undergraduate_package.csv contains the following fields:
All of the data in this dataset comes from The Harvard Open Data Dataverse. Specific citations are as follows:
for the graduate tuition data:
Harvard Financial Aid Office, 2015, "Harvard graduate school tuition", doi:10.7910/DVN/LV0YSQ, Harvard Dataverse, V1
for the undergraduate tuition and fees data:
Harvard Financial Aid, 2015, "Harvard College Tuition", doi:10.7910/DVN/MSS2BE, Harvard Dataverse, V1 [UNF:6:FyXNny+KBTgLX+DzewzEfg==]
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Park Lane cross streets in Harvard, MA.
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TwitterComprehensive demographic dataset for Harvard, , MA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The data and programs replicate tables and figures from "Asset Specificity of Nonfinancial Firms", by Kermani and Ma. Please see the readme file for additional details.
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Data on how MA state spending. From: http://opencheckbook.itd.state.ma.us/analytics/saw.dll?Dashboard Downloaded on Nov. 8, 2017 (relevant for gauging time for which we have the data.)
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Study Design: Using a repeated measures quasi-experimental design, the MA CHOICES study collected survey data between January 2020 and April 2023 in three waves. Data Collection Methods: Data were collected via an online survey using REDCap. Participants: Participants in this study are state and local public health agency staff and their community partners in Boston and Massachusetts. Measures: Measures include self-efficacy of participants related to using cost-effectiveness concepts for decision-making and perceptions of feasibility and acceptability of interventions. Data Set Contents and Notes: The public data set includes completed surveys with identifying information removed to protect participant confidentiality. Some participants were surveyed at multiple time points. The public data set does not link participants over time, due to small sample sizes and resulting risk of breaching confidentiality. Funding: Centers for Disease Control and Prevention, Health Promotion and Disease Prevention Research Centers (6U48DP006376; PI: Steve Gortmaker)
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Facilities data for MS, derived from U.S. EPA CAMPD.
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Context
The dataset tabulates the Harvard town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Harvard town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Harvard town was 6,928, a 0.45% increase year-by-year from 2022. Previously, in 2022, Harvard town population was 6,897, an increase of 0.47% compared to a population of 6,865 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Harvard town increased by 928. In this period, the peak population was 6,928 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Harvard town Population by Year. You can refer the same here
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TwitterThe EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.
Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.
The following dataset from Harvard Forest (HFR) contains population (urban) measurements in number units and were aggregated to a yearly timescale.
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TwitterThe EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.
Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.
The following dataset from Harvard Forest (HFR) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Harvard Way cross streets in Newbury, MA.
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TwitterThe EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.
Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.
The following dataset from Harvard Forest (HFR) contains population (urban) measurements in number units and were aggregated to a yearly timescale.
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TwitterThe EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.
Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.
The following dataset from Harvard Forest (HFR) contains human population (total) measurements in number units and were aggregated to a yearly timescale.
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Harvard Street cross streets in Cleveland, MS.
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Mill Road cross streets in Harvard, MA.
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TwitterThese are raw data of DNA methylation obtained on the Illumina 450K humanmethylation chip. The samples are either MS patients (MS) or healthy controls (K). Beta values after BMIQ normalisation are provided.
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This dataset comprises survey data collected from graduate students at Simmons University's School of Library and Information Science (LIS), focusing on their Research Data Management (RDM) awareness, experience, preparedness and need for professional development. The files in this dataset include the raw survey responses (in CSV format).
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This paper advances our understanding of the Brazilian IR scholarship by exploring the topics addressed and the geographic scope adopted by its authors, tracing their evolution over time. We utilize data from 2417 master’s theses and doctoral dissertations from all IR graduate programs in the country, spanning the years 1987 to 2018. By employing a structural topic model, we identify latent topics present in the abstracts of these documents. This analysis not only allows us to trace a thematic profile of the Brazilian IR scholarship but also provides evidence that the expansion of the Brazilian IR scholarship in the 2000s has led to 01. an increased diversity of topics explored by researchers, and 02. analyses with a broader geographic scope, extending beyond the immediate region. Therefore, as the Brazilian IR scholarship has consolidated, there has been a transition from a policy-oriented approach to a more active involvement in international debates across different subjects and regions.
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This paper investigates the dynamics of discrimination in Political Science PhD programs with a survey of current political science graduate students in the top 50 departments. We focus on mentorship, funding, sexual harassment, racism, homophobia, and labor exploitation: 20% of respondents report labor exploitation, 19% experienced racial discrimination, 9% report sexual harassment and 6% experienced homophobia. Discrimination is uneven across individuals: Some groups of graduate students experience widespread discrimination, especially racial discrimination, while other groups are largely unaware of these issues. We ran a survey experiment to gauge the impact of misconduct on formal reporting mechanisms and find that hearing about racial discrimination has a chilling effect on reporting. Importantly, we find that experiencing discrimination harms how satisfied students are in their programs. We find that factors linked to student vulnerability, like international status and funding, are significantly associated with harassment, and that reporting discrimination predicts more discrimination.
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TwitterThis statistic shows the tuition at Harvard University's Graduate School of Arts and Sciences from the academic year 2008 to the academic year 2021. During the academic year 2020 to 2021, tuition for the Graduate School of Arts and Sciences was ****** U.S. dollars.