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The School of Business encourages and fosters a rich research-oriented environment for faculty and doctoral candidates. Students can choose from a variety of topics reflecting the varied research interests of our faculty. The Ph.D. Program is intended to prepare students to conduct original research; i.e., to explain phenomena previously not well understood and then to test proposed explanations empirically.
Whilst there are plenty of resources available to help prospective PhD students find doctoral programmes, deciding on a research topic is a process students often find more difficult.
Some advertised PhD programmes have predefined titles, so the exact topic is decided already. Generally, these programmes exist mainly in STEM, though other fields also have them. Funded projects are more likely to have defined titles, and structured aims and objectives.
Self funded projects, and those in fields such as arts and humanities, are less likely to have defined titles. The flexibility of topic selection means more scope exists for applicants to propose research ideas and suit the topic of research to their interests.
A middle ground also exists where Universities advertise funded PhD programmes in subjects without a defined scope, for example: “PhD Studentship in Biomechanics”. The applicant can then liaise with the project supervisor to choose a particular title such as “A study of fatigue and impact resistance of biodegradable knee implants”.
If a predefined programme is not right for you, then you need to propose your own research topic. There are several factors to consider when choosing a good research topic, which will be outlined in this article.
Our first piece of advice is to PhD candidates is to stop thinking about ‘finding’ a research topic, as it is unlikely that you will. Instead, think about developing a research topic (from research and conversations with advisors).
Consider several ideas and critically appraise them:
We have outlined the key considerations you should use when developing possible topics. We explore these below:
It is important to choose a topic of research that you are genuinely interested in. The decision you make will shape the rest of your career. Remember, a full-time programme lasts 3-4 years, and there will be unforeseen challenges during this time. If you are not passionate about the study, you will struggle to find motivation during these difficult periods.
You should also look to your academic and professional background. If there are any modules you undertook as part of your Undergraduate/Master degree that you particularly enjoyed or excelled in? These could form part of your PhD research topic. Similarly, if you have professional work experience, this could lead to you asking questions which can only be answered through research.
When deciding on a PhD research topic you should always consider your long-term career aspirations. For example, as a physicist, if you wish to become an astrophysicist, a research project studying black holes would be more relevant to you than a research project studying nuclear fission.
Reading dissertations and published journals is a great way to identify potential PhD topics. When reviewing existing research ask yourself:
Reading dissertations will also give you an insight into the practical aspects of doctoral study, such as what methodology the author used, how much data analysis was required and how was information presented.
You can also think of this process as a miniature literature review . You are searching for gaps in knowledge and developing a PhD project to address them. Focus on recent publications (e.g. in the last five years). In particular, the literature review of recent publications will give an excellent summary of the state of existing knowledge, and what research questions remain unanswered.
If you have the opportunity to attend an academic conference, go for it! This is often an excellent way to find out current theories in the industry and the research direction. This knowledge could reveal a possible research idea or topic for further study.
Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.
Discuss your research topic ideas with a supervisor. This could be your current undergraduate/masters supervisor, or potential supervisors of advertised PhD programmes at different institutions. Come to these meetings prepared with initial PhD topic ideas, and your findings from reading published journals. PhD supervisors will be more receptive to your ideas if you can demonstrate you have thought about them and are committed to your research.
You should discuss your research interests, what you have found through reading publications, and what you are proposing to research. Supervisors who have expertise in your chosen field will have insight into the gaps in knowledge that exist, what is being done to address them, and if there is any overlap between your proposed research ideas and ongoing research projects.
Talking to an expert in the field can shape your research topic to something more tangible, which has clear aims and objectives. It can also find potential shortfalls of your PhD ideas.
It is important to remember, however, that although it is good to develop your research topic based on feedback, you should not let the supervisor decide a topic for you. An interesting topic for a supervisor may not be interesting to you, and a supervisor is more likely to advise on a topic title which lends itself to a career in academia.
Another tip is to talk to a PhD student or researcher who is involved in a similar research project. Alternatively, you can usually find a relevant research group within your University to talk to. They can explain in more detail their experiences and suggest what your PhD programme could involve with respect to daily routines and challenges.
Use our Search tool , or look on University PhD listing pages to identify advertised PhD programmes for ideas.
The popularity of similar PhD programmes to your proposed topic is a good indicator that universities see value in the research area. The final bullet point is perhaps the most valuable takeaway from looking at advertised listings. Review what similar programmes involve, and whether this is something you would like to do. If so, a similar research topic would allow you to do this.
As part of the PhD application process , you may be asked to summarise your proposed research topic in a research proposal. This is a document which summarises your intended research and will include the title of your proposed project, an Abstract, Background and Rationale, Research Aims and Objectives, Research Methodology, Timetable, and a Bibliography. If you are required to submit this document then read our guidance on how to write a research proposal for your PhD application.
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Doctoral Studies in Information Systems & Management
The doctoral program in Information Systems & Management at Carnegie Mellon University's Heinz College prepares students with a deep understanding of the technical and organizational aspects of information systems.
At Heinz, we live and work at the critical nexus of information technology and public policy. Our Ph.D. in Information Systems & Management was created to train scholars to conduct innovative research that cuts across disciplines in order to address significant challenges in IT theory, strategy, management, and design as it relates to business and policy settings.
Heinz College Ph.D. students enjoy close partnerships with faculty as they explore the complex and exciting interconnectedness of information systems, public policy, and management. Upon graduating, our Ph.D.s receive desirable placements at academic institutions, government agencies, and consulting firms.
Doctoral students take on a broad range of topics and problems, but some key areas of strength at Heinz College include:
As technology enables most content to be digitized, it is also upending business models, competition, and policy needs. From electronic health records, to streaming music and videos, to online social networks, digitization is rapidly affecting every part of the user experience, generating new jobs, and displacing old ones. Our faculty is working on a variety of projects under this broad umbrella. Some major projects are examining the role of social networks, online piracy, digital distribution, impact of mobile, the role of online education, and so on. Faculty and students use variety of methods like field experiments, analytical and structural models to study these questions.
Michael D. Smith and Rahul Telang are world recognized experts on the media industry and copyright policies who also head the IDEA research center.
Beibei Li is an expert on social media, mobile marketing, and understanding individuals’ online and offline decision making.
Pedro Ferreira works on how people use technology in media and education, and is an expert on running randomized experiments.
Ramayya Krishnan applies operations research tools to a variety of problems in this domain.
Our world-renowned faculty extensively works with both private firms and policy makers.
We have multiple research centers like IDEA , LARC , and iLab which collect large quantities of data to examine these issues.
Growth of big data has offered opportunities for development and application of novel statistical and computational methods for solving societal problems such as crime, policing, fraud detection, health care and more. To be able to use this data requires cutting edge work on developing new methods and machine learning algorithms. Heinz College has some of the top faculty who work at the intersection of machine learning and public policy.
Some key faculty members working in this space are Leman Akoglu , George Chen , Jeremy Weiss , and David Choi . Each of them is working on problems that intersect the need to use Machine Learning method to solve critical societal problems.
We also offer a joint degree in Machine Learning and Public Policy.
Data security and privacy has increasingly become a complex issue that goes beyond mere technology. Faculty at Heinz College are working on understanding users’ security and privacy decisions using economics, behavioral economics, and data analytics frameworks. This leading edge research is at the forefront of designing better tools and better regulations.
Alessandro Acquisti is an expert on economics of privacy and has done path-breaking work in this space.
Rahul Telang ’s work illustrates that firms may not do enough to protect user data, and highlights how we should design our policies.
Leman Akoglu uses large-scale data to understand our security and privacy vulnerabilities.
This group also works closely with faculty from CyLab , an interdisciplinary research center. This work is highly influential, widely cited, and extensively funded.
This group's research is motivated by information technology's important role in improving health care for patients, hospitals, and doctors. Technology is extensively used in detecting outbreaks, in providing superior quality of care at lower costs, and in prevention of medical errors.
Rema Padman studies IT adoption in hospitals and physical practices.
Rahul Telang studies the role of electronic health records.
Martin Gaynor is a world-renowned expert on health policy and examines how technology can help improve policy outcomes.
Amelia Haviland examines the role of insurance policies and how they affect patient welfare.
As in other domains, our work on health care and IT is highly influential and has led to significant publications and extensive funding.
The pre-dissertation stage of the Ph.D. in Information Systems & Management is structured around two sets of requirements: coursework and preliminary papers.
Coursework is designed to build methodological skills, modeling competence, and substantive depth.
Preliminary papers illustrate your ability to produce effective research that exhibits your readiness to begin the dissertation.
Admission to candidacy means that all requirements of the Ph.D. program preliminary to the dissertation have been fulfilled. In addition to satisfying all coursework requirements, you must also meet the following research requirements:
While fulfilling these requirements, you'll work closely with the faculty to develop individualized programs of study and research that meet your goals.
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Carolina Costabile, Department of Strategy and Management, NHH.
On Monday 24 June 2024 Carolina Costabile will hold a trial lecture on a prescribed topic and defend her thesis for the PhD degree at NHH. Title of the thesis: «Collaborative digital platform ecosystems: A governance perspective - A literature review combined with insights from the Norwegian aquaculture industry».
Advances in Motion
Journal Published on May 20, 2024
Originally published on Molecular Therapy: Methods & Clinical Development
Loss of striatal neuron circuits in the striatum is associated with several neurodegenerative diseases, including Parkinson's and Alzheimer's. Intracranial gene therapy is still investigational in the U.S., but the European Medicines Agency has approved Upstaza, a one-time gene therapy for severe aromatic L-amino acid decarboxylase deficiency that's injected directly into the striatum.
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Adeno-associated virus (AAV) vectors are currently the most efficient option for intracranial gene therapies for neurodegenerative diseases. Massachusetts General Hospital researchers are working to increase AAV diffusion throughout the brain and increase transgene expression in cholinergic neurons, which regulate the activity of the most abundant striatal neurons and fine-tune a variety of brain functions.
Miguel C. Santoscoy, PhD , a research fellow in the Department of Neurology and Molecular Neurogenetics Unit at Mass General, Casey A. Maguire, PhD , a gene delivery expert and associate investigator in the Mass General Research Institute , and colleagues report two improvements to AAV-based intracranial gene therapy in Molecular Therapy: Methods & Clinical Development .
In an earlier study, also published in Molecular Therapy: Methods & Clinical Development , Dr. Maguire and other colleagues engineered AAV-S, a derivative of AAV9 that showed much greater transduction of the brain than AAV9 after intra-cortical and intra-hippocampal injection. In this study, AAV-S transduced a greater area of striatum than AAV9 after direct intra-striatal injection in C57BL/6 mice.
Intra-striatal gene therapy in humans presently requires multiple burr holes and multiple injections to produce sufficient "coverage" of transduced cells in the striatum. A capsid that spreads a greater distance in the striatum would be highly desirable to reduce the number of injections and the potential for related complications.
In an unpublished study, the researchers observed that after intracranial injection of AAV vectors using the broadly active CAG promoter, relatively few of the cells transduced were cholinergic neurons. To address that problem, the team engineered an AAV9 plasmid that contains a truncated human choline acetyltransferase (ChAT) promoter.
Intra-striatal injection into mice showed:
There were slight increases in the specificity and efficiency of cholinergic neuron transduction with AAV9-ChAT compared with AAV-S–ChAT, but the differences weren't statistically significant.
For applications in which broad transduction of striatal neurons is desired, the AAV-S capsid with the CAG promoter may be immediately useful. In applications in which high specificity and efficiency for striatal cholinergic neurons is desired, the AAV9 capsid and ChAT promoter may be the better choice.
view original journal article Subscription may be required
Molecular Therapy: Methods & Clinical Development
Journal Article Published: June 8, 2023
Explore gene and cell therapy research at Mass General Brigham
Learn more about the Department of Neurology
Genomic therapeutics in action: antisense oligonucleotides interventions reverses neurodegeneration.
Physician-investigators at Massachusetts General Hospital recently published findings that provide a critical step forward in understanding the mechanisms underlying a host of neurodegenerative diseases.
ALS , Gene and Cell Therapy , Neurodegenerative Disease , Neurology , Neuroscience
Article November 28, 2023
Kristopher T. Kahle, MD, PhD, and colleagues explain that somatic variations detected from neurosurgical biopsies or resection of fresh brain tissue are beginning to suggest which existing targeted medications could be used as monotherapies or adjuncts to surgery for non-oncologic neurological diseases.
Gene and Cell Therapy , Neurology , Neuro-Oncology , Neuroscience , Neurosurgery
Journal March 20, 2024
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The School of Business encourages and fosters a rich research-oriented environment for faculty and doctoral candidates. Students can choose from a variety of topics reflecting the varied research interests of our faculty. The Ph.D. Program is intended to prepare students to conduct original research; i.e., to explain phenomena previously not ...
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